Excel assignment
Chapter 10
| Ross, Westerfield, Jaffe, and Jordan's Excel Master |
| Corporate Finance, 11th edition |
| by Brad Jordan and Joe Smolira |
| Version 11.0 |
| Chapter 10 |
| In these spreadsheets, you will learn how to use the following Excel functions: |
| The following conventions are used in these spreadsheets: |
| 1) Given data in blue |
| 2) Calculations in red |
| NOTE: Some functions used in these spreadsheets may require that |
| the "Analysis ToolPak" or "Solver Add-In" be installed in Excel. |
| To install these, click on the File tab |
| then "Excel Options," "Add-Ins" and select |
| "Go." Check "Analysis ToolPak" and |
| "Solver Add-In," then click "OK." |
Column charts
/xl/drawings/drawing1.xml#'Section%2010.1'!A33COUNTIF
/xl/drawings/drawing1.xml#'Section%2010.1'!A70Sorting data
/xl/drawings/drawing1.xml#'Section%2010.2'!A97Filtering data
/xl/drawings/drawing1.xml#'Section%2010.1'!A97Rank and percentile
/xl/drawings/drawing1.xml#'Section%2010.1'!A109AVERAGE
/xl/drawings/drawing1.xml#'Section%2010.3'!A15Frequency distribution
/xl/drawings/drawing1.xml#'Section%2010.5'!A34Frequency distribution charts
/xl/drawings/drawing1.xml#'Section%2010.5'!A86VAR
/xl/drawings/drawing1.xml#'Section%2010.5'!A134STDEV
/xl/drawings/drawing1.xml#'Section%2010.5'!A134Sorting data (2)
/xl/drawings/drawing1.xml#'Section%2010.3'!A41VARP
/xl/drawings/drawing1.xml#'Section%2010.5'!A159STDEVP
/xl/drawings/drawing1.xml#'Section%2010.5'!A159NORMDIST
/xl/drawings/drawing1.xml#'Section%2010.5'!A191NORMINV
/xl/drawings/drawing1.xml#'Section%2010.5'!A229Descriptive statistics
/xl/drawings/drawing1.xml#'Section%2010.5'!A269GEOMEAN
/xl/drawings/drawing1.xml#'Section%2010.6'!A12Pivot Tables
/xl/drawings/drawing1.xml#'Pivot%20Tables'!A9Section 10.1
| Chapter 10 - Section 1 | |||||
| Returns | |||||
| Calculating returns in Excel is a relatively simple matter since we only need to input basic equations. Consider the information from the Video Concepts Company: | |||||
| Shares: | 100 | ||||
| Beginning price: | $ 37.00 | ||||
| Ending price: | $ 40.33 | ||||
| Dividend per share: | $ 1.85 | ||||
| With this information, we can calculate the dollar returns and percentage returns as: | |||||
| Total dollar capital gains: | |||||
| Dividend income: | |||||
| Total dollar return: | |||||
| Capital gains return: | |||||
| Dividend yield: | |||||
| Total return: | |||||
| Yahoo! Finance Returns | |||||
| A popular website that provides daily stock prices is Yahoo! Finance. However, if you use the prices quoted on this website to calculate the return of a stock, you must be careful to use the correct information. Yahoo! Finance reports two closing stock prices, the actual closing price and the adjusted close which is adjusted for stock splits and dividends. In a stock split, the number of shares is increased and the stock price is decreased. For example, in a 2-for-1 stock split, the number of shares would be doubled since shareholders would receive 2 shares for every 1 share they currently own, and the stock price would be halved. | |||||
| Suppose a stock is currently trading at $120 per share and undergoes a 2-for-1 stock split. Also assume that the stock price remains unchanged during the day. The closing price on Yahoo! Finance would report prices of $120 and $60, respectively, which looks like a 50 percent decrease in the stock price. In actuality, the shareholder return during the day was zero because although the stock price was cut in half, the number of shares they owned was doubled. In this case, the adjusted closing price would be reported as $60 for both days. | |||||
| The adjusted close reported on Yahoo! Finance also adjusts for dividends. Consider a stock that is selling for $100 at the end of April, pays a dividend of $5, and has a price of $108 at the end of May. The stockholder return for this period was ($108 - 100 + 5) / $100 = 13 percent. In this case, the adjusted close at the end of May would be $108, while the adjusted close for the end of April would be $95.581, which is a return of ($108 - 95.581) / $95.581 = 13 percent. Below, we have calculated the return for IBM over a 12 month period using both the closing price and dividend, and the adjusted close. | |||||
| Date | Close | Dividend | Adj Close | Return with closing price and dividend | Return with adjusted close |
| 1/2/14 | $ 176.68 | $ 171.29 | |||
| 2/3/14 | $ 185.17 | $ 0.95 | $ 180.51 | ||
| 3/3/14 | $ 192.49 | $ 187.64 | |||
| 4/1/14 | $ 196.47 | $ 191.52 | |||
| 5/1/14 | $ 184.36 | $ 1.10 | $ 180.76 | ||
| 6/2/14 | $ 181.27 | $ 177.73 | |||
| 7/1/14 | $ 191.67 | $ 187.93 | |||
| 8/1/14 | $ 192.30 | $ 1.10 | $ 189.66 | ||
| 9/2/14 | $ 189.83 | $ 187.23 | |||
| 10/1/14 | $ 164.40 | $ 162.15 | |||
| 11/3/14 | $ 162.17 | $ 1.10 | $ 161.04 | ||
| 12/1/14 | $ 160.44 | $ 159.32 | |||
| 1/2/15 | $ 153.31 | $ 152.24 | |||
| 2/2/15 | $ 163.89 | $ 1.10 | $ 163.89 | ||
| Notice, the return calculations are very similar. The reason they are not exact is that Yahoo! Finance reports the adjusted close to the nearest cent. This rounding can cause a slight difference in the return calculation. Consider the example we used above. Using the adjusted price of $95.581, calculate for yourself that the return is actually 12.99 percent, not 13 percent. If you need total returns, the adjusted close will give you a fairly accurate return calculation that is much easier, especially since Yahoo! Finance won't download prices and dividends in the same spreadsheet. However, if you need capital gains returns and dividend yields separately, or very accurate returns, you will need to use the closing price and the dividends, not the adjusted close. |
Section 10.2
| Chapter 10 - Section 2 |
| Holding Period Returns |
| In the text and on the next tab, we show the historical returns by year for various asset categories for the period 1926 to 2014. Of course, with a data series this long, charts will often allow you to better visualize the data over time. Below, we have produced a chart similar to Figure 10.5 in the textbook which graphically shows large company stock returns. |
| RWJ Excel Tip |
| To insert a column chart, select the data you want to graph, then go to the Insert tab, and select Column. Notice, we have different markings for positive and negative numbers. To do this, we right clicked on one of the columns, selected Format Data Series, went to the Fill option, and put a check in the "Invert if negative" box. |
| We have a question for you: In how many years over the 1926-2014 period were the annual large company stock returns greater than 12 percent? While you can count these by hand, Excel has a function that quickly counts these values for you. |
| How many times did large company stocks have a return greater than or equal to 12 percent for the period 1926 to 2014? |
| Number of years with a return greater than or equal to 12 percent: |
| RWJ Excel Tip |
| To count the number of times a value occurs that is greater than or less than a specified value, use the COUNTIF function located under More Functions, Statistical. The inputs for the function are relatively simple: |
| Range is the range of the data you want to count the occurrences, and Criteria is the criteria you wish to count, in this case, returns that are greater than or equal to 12 percent. If you click on cell G68 and look at the formula bar, you will notice that Excel puts quotes around >=.12. The reason is that Excel treats the mathematical operator as text. COUNTIF can also be used to count the number of occurrences of text in a data set. We should note that there appears to be a bug with COUNTIF. Notice that we entered the 12 percent minimum return in the equation box. Generally, we would like to make this a cell reference so that we could change the number in the cell and have Excel COUNTIF for another specified number. Unfortunately, because Excel treats this input as text, it will not allow you to reference a cell for this input. (Actually, Excel will allow you to reference a cell for this input, but it will not correctly perform the operation.) |
| Of course, as with any other function, the uses of COUNTIF can easily be extended. Suppose you wanted to count the number of annual returns for large company stocks that were greater than 9 percent but less than 23 percent. We could count all the returns greater than 9 percent and subtract all the returns greater than 23 percent. To do this, we could use two COUNTIF functions like this: |
| Large company stock returns greater than 9 percent and less than 23 percent: |
| Filtering Data |
| Of course, you may want to do more sorting and filtering of data. You may have noticed small arrows on the historical return header rows. These are sorting and filtering functions we built into the worksheet. |
| RWJ Excel Tip |
| When a filter is applied to a dataset, you will see a small arrow in the header row. |
| To insert these sort/filter icons, we selected all the headers for our data columns, went to the Home tab, and selected filter. You may notice that the arrow for the year has a small arrow in it. This indicates that the data is sorted by the year. If you left click on one of the arrows, it will bring up a box that allows you to sort the entire dataset by any particular column from the largest to smallest value, or smallest to largest value. If you look below the sorting options, you are also given filtering options. Go down to the Number Filter option and you will see a lot of different options. For example, you can filter by greater than a 30 percent large company stock return. When you do so, Excel will hide all rows in which the large company stock return is less than 30 percent. You can also filter by multiple columns. For example, if you filter by large company stock returns greater than 30 percent and long-term government bond returns greater than 10 percent, Excel will only display the years 1985, 1989, 1991, 1995, and 1997. To remove the filter on the column, left click on the filter arrow and then click on Clear Filter. |
| If the data is sorted by a particular column, the arrow will look like this: |
| If the data is filtered by a particular column, the arrow will look like this: |
| Percentile |
| If you want to sort the data and find a percentile ranking, Excel will also do this for you. For example, what is the 90th percentile returns for large company stocks since 1926? To answer this question, we can use Rank and Percentile. |
| RWJ Excel Tip |
| To sort data and find a percentile for each point, go to the Data tab, select Data Analysis, then Rank and Percentile: |
| Once you click OK, Excel will bring up another box with the input information: |
| We used the large company stock returns from the Historical Returns worksheet and selected the first row with the header. We also selected to have the output in a different worksheet. If you look at the Percentile worksheet, you will find the output. So, the 90th percentile return was about 33.36 percent. (Notice, the 89.7 percentile return was exactly 33.36 percent.) |
Large Company Stock Returns: 1926 - 2014
1926 1927 1928 1929 1930 1931 1932 1933 1934 1935 1936 1937 1938 1939 1940 1941 1942 1943 1944 1945 1946 1947 1948 1949 1950 1951 1952 1953 1954 1955 1956 1957 1958 1959 1960 1961 1962 1963 1964 1965 1966 1967 1968 1969 1970 1971 1972 1973 1974 1975 1976 1977 1978 1979 1980 1981 1982 1983 1984 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 0.13750000000000001 0.35700000000000004 0.45079999999999998 -8.8000000000000009E-2 -0.25129999999999997 -0.436 -8.7499999999999994E-2 0.52950000000000008 -2.3099999999999999E-2 0.46789999999999998 0.32490000000000002 -0.35450000000000004 0.31629999999999997 -1.43E-2 -0.1036 -0.1202 0.20749999999999999 0.25379999999999997 0.19489999999999999 0.36210000000000003 -8.4199999999999997E-2 5.0499999999999996E-2 4.99E-2 0.17809999999999998 0.30049999999999999 0.2379 0.18390000000000001 -1.0700000000000001E-2 0.52229999999999999 0.31620000000000004 6.9099999999999995E-2 -0.105 0.43569999999999998 0.1201 4.6999999999999993E-3 0.26839999999999997 -8.7499999999999994E-2 0.22699999999999998 0.1643 0.12380000000000001 -0.10060000000000001 0.23980000000000001 0.1103 -8.43E-2 3.9399999999999998E-2 0.14300000000000002 0.18989999999999999 -0.1469 -0.26469999999999999 0.37229999999999996 0.23929999999999998 -7.1599999999999997E-2 6.5700000000000008E-2 0.18609999999999999 0.32500000000000001 -4.9200000000000001E-2 0.2155 0.22559999999999999 6.2699999999999992E-2 0.31730000000000003 0.1867 5.2499999999999998E-2 0.1661 0.31690000000000002 -3.1E-2 0.30459999999999998 7.6200000000000004E-2 0.1008 1.32E-2 0.37579999999999997 0.2296 0.33360000000000001 0.2858 0.2104 -9.0999999999999998E-2 -0.11890000000000001 -0.221 0.28889999999999999 0.10880000000000001 4.9100000000000005E-2 0.15789999999999998 5.4899999999999997E-2 -0.37 0.2646 0.15060000000000001 2.1100000000000001E-2 0.16 0.32300000000000001 0.13700000000000001Year-end
Total Annual Return
Large Company Stock Returns: 1926 - 2014
1926 1927 1928 1929 1930 1931 1932 1933 1934 1935 1936 1937 1938 1939 1940 1941 1942 1943 1944 1945 1946 1947 1948 1949 1950 1951 1952 1953 1954 1955 1956 1957 1958 1959 1960 1961 1962 1963 1964 1965 1966 1967 1968 1969 1970 1971 1972 1973 1974 1975 1976 1977 1978 1979 1980 1981 1982 1983 1984 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 0.13750000000000001 0.35700000000000004 0.45079999999999998 -8.8000000000000009E-2 -0.25129999999999997 -0.436 -8.7499999999999994E-2 0.52950000000000008 -2.3099999999999999E-2 0.46789999999999998 0.32490000000000002 -0.35450000000000004 0.31629999999999997 -1.43E-2 -0.1036 -0.1202 0.20749999999999999 0.25379999999999997 0.19489999999999999 0.36210000000000003 -8.4199999999999997E-2 5.0499999999999996E-2 4.99E-2 0.17809999999999998 0.30049999999999999 0.2379 0.18390000000000001 -1.0700000000000001E-2 0.52229999999999999 0.31620000000000004 6.9099999999999995E-2 -0.105 0.43569999999999998 0.1201 4.6999999999999993E-3 0.26839999999999997 -8.7499999999999994E-2 0.22699999999999998 0.1643 0.12380000000000001 -0.10060000000000001 0.23980000000000001 0.1103 -8.43E-2 3.9399999999999998E-2 0.14300000000000002 0.18989999999999999 -0.1469 -0.26469999999999999 0.37229999999999996 0.23929999999999998 -7.1599999999999997E-2 6.5700000000000008E-2 0.18609999999999999 0.32500000000000001 -4.9200000000000001E-2 0.2155 0.22559999999999999 6.2699999999999992E-2 0.31730000000000003 0.1867 5.2499999999999998E-2 0.1661 0.31690000000000002 -3.1E-2 0.30459999999999998 7.6200000000000004E-2 0.1008 1.32E-2 0.37579999999999997 0.2296 0.33360000000000001 0.2858 0.2104 -9.0999999999999998E-2 -0.11890000000000001 -0.221 0.28889999999999999 0.10880000000000001 4.9100000000000005E-2 0.15789999999999998 5.4899999999999997E-2 -0.37 0.2646 0.15060000000000001 2.1100000000000001E-2 0.16 0.32300000000000001 0.13700000000000001Year-end
Total Annual Return
Large Company Stock Returns: 1926 - 2014
1926 1927 1928 1929 1930 1931 1932 1933 1934 1935 1936 1937 1938 1939 1940 1941 1942 1943 1944 1945 1946 1947 1948 1949 1950 1951 1952 1953 1954 1955 1956 1957 1958 1959 1960 1961 1962 1963 1964 1965 1966 1967 1968 1969 1970 1971 1972 1973 1974 1975 1976 1977 1978 1979 1980 1981 1982 1983 1984 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 0.13750000000000001 0.35700000000000004 0.45079999999999998 -8.8000000000000009E-2 -0.25129999999999997 -0.436 -8.7499999999999994E-2 0.52950000000000008 -2.3099999999999999E-2 0.46789999999999998 0.32490000000000002 -0.35450000000000004 0.31629999999999997 -1.43E-2 -0.1036 -0.1202 0.20749999999999999 0.25379999999999997 0.19489999999999999 0.36210000000000003 -8.4199999999999997E-2 5.0499999999999996E-2 4.99E-2 0.17809999999999998 0.30049999999999999 0.2379 0.18390000000000001 -1.0700000000000001E-2 0.52229999999999999 0.31620000000000004 6.9099999999999995E-2 -0.105 0.43569999999999998 0.1201 4.6999999999999993E-3 0.26839999999999997 -8.7499999999999994E-2 0.22699999999999998 0.1643 0.12380000000000001 -0.10060000000000001 0.23980000000000001 0.1103 -8.43E-2 3.9399999999999998E-2 0.14300000000000002 0.18989999999999999 -0.1469 -0.26469999999999999 0.37229999999999996 0.23929999999999998 -7.1599999999999997E-2 6.5700000000000008E-2 0.18609999999999999 0.32500000000000001 -4.9200000000000001E-2 0.2155 0.22559999999999999 6.2699999999999992E-2 0.31730000000000003 0.1867 5.2499999999999998E-2 0.1661 0.31690000000000002 -3.1E-2 0.30459999999999998 7.6200000000000004E-2 0.1008 1.32E-2 0.37579999999999997 0.2296 0.33360000000000001 0.2858 0.2104 -9.0999999999999998E-2 -0.11890000000000001 -0.221 0.28889999999999999 0.10880000000000001 4.9100000000000005E-2 0.15789999999999998 5.4899999999999997E-2 -0.37 0.2646 0.15060000000000001 2.1100000000000001E-2 0.16 0.32300000000000001 0.13700000000000001Year-end
Total Annual Return
Large Company Stock Returns: 1926 - 2014
1926 1927 1928 1929 1930 1931 1932 1933 1934 1935 1936 1937 1938 1939 1940 1941 1942 1943 1944 1945 1946 1947 1948 1949 1950 1951 1952 1953 1954 1955 1956 1957 1958 1959 1960 1961 1962 1963 1964 1965 1966 1967 1968 1969 1970 1971 1972 1973 1974 1975 1976 1977 1978 1979 1980 1981 1982 1983 1984 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 0.13750000000000001 0.35700000000000004 0.45079999999999998 -8.8000000000000009E-2 -0.25129999999999997 -0.436 -8.7499999999999994E-2 0.52950000000000008 -2.3099999999999999E-2 0.46789999999999998 0.32490000000000002 -0.35450000000000004 0.31629999999999997 -1.43E-2 -0.1036 -0.1202 0.20749999999999999 0.25379999999999997 0.19489999999999999 0.36210000000000003 -8.4199999999999997E-2 5.0499999999999996E-2 4.99E-2 0.17809999999999998 0.30049999999999999 0.2379 0.18390000000000001 -1.0700000000000001E-2 0.52229999999999999 0.31620000000000004 6.9099999999999995E-2 -0.105 0.43569999999999998 0.1201 4.6999999999999993E-3 0.26839999999999997 -8.7499999999999994E-2 0.22699999999999998 0.1643 0.12380000000000001 -0.10060000000000001 0.23980000000000001 0.1103 -8.43E-2 3.9399999999999998E-2 0.14300000000000002 0.18989999999999999 -0.1469 -0.26469999999999999 0.37229999999999996 0.23929999999999998 -7.1599999999999997E-2 6.5700000000000008E-2 0.18609999999999999 0.32500000000000001 -4.9200000000000001E-2 0.2155 0.22559999999999999 6.2699999999999992E-2 0.31730000000000003 0.1867 5.2499999999999998E-2 0.1661 0.31690000000000002 -3.1E-2 0.30459999999999998 7.6200000000000004E-2 0.1008 1.32E-2 0.37579999999999997 0.2296 0.33360000000000001 0.2858 0.2104 -9.0999999999999998E-2 -0.11890000000000001 -0.221 0.28889999999999999 0.10880000000000001 4.9100000000000005E-2 0.15789999999999998 5.4899999999999997E-2 -0.37 0.2646 0.15060000000000001 2.1100000000000001E-2 0.16 0.32300000000000001 0.13700000000000001Year-end
Total Annual Return
Large Company Stock Returns: 1926 - 2014
1926 1927 1928 1929 1930 1931 1932 1933 1934 1935 1936 1937 1938 1939 1940 1941 1942 1943 1944 1945 1946 1947 1948 1949 1950 1951 1952 1953 1954 1955 1956 1957 1958 1959 1960 1961 1962 1963 1964 1965 1966 1967 1968 1969 1970 1971 1972 1973 1974 1975 1976 1977 1978 1979 1980 1981 1982 1983 1984 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 0.13750000000000001 0.35700000000000004 0.45079999999999998 -8.8000000000000009E-2 -0.25129999999999997 -0.436 -8.7499999999999994E-2 0.52950000000000008 -2.3099999999999999E-2 0.46789999999999998 0.32490000000000002 -0.35450000000000004 0.31629999999999997 -1.43E-2 -0.1036 -0.1202 0.20749999999999999 0.25379999999999997 0.19489999999999999 0.36210000000000003 -8.4199999999999997E-2 5.0499999999999996E-2 4.99E-2 0.17809999999999998 0.30049999999999999 0.2379 0.18390000000000001 -1.0700000000000001E-2 0.52229999999999999 0.31620000000000004 6.9099999999999995E-2 -0.105 0.43569999999999998 0.1201 4.6999999999999993E-3 0.26839999999999997 -8.7499999999999994E-2 0.22699999999999998 0.1643 0.12380000000000001 -0.10060000000000001 0.23980000000000001 0.1103 -8.43E-2 3.9399999999999998E-2 0.14300000000000002 0.18989999999999999 -0.1469 -0.26469999999999999 0.37229999999999996 0.23929999999999998 -7.1599999999999997E-2 6.5700000000000008E-2 0.18609999999999999 0.32500000000000001 -4.9200000000000001E-2 0.2155 0.22559999999999999 6.2699999999999992E-2 0.31730000000000003 0.1867 5.2499999999999998E-2 0.1661 0.31690000000000002 -3.1E-2 0.30459999999999998 7.6200000000000004E-2 0.1008 1.32E-2 0.37579999999999997 0.2296 0.33360000000000001 0.2858 0.2104 -9.0999999999999998E-2 -0.11890000000000001 -0.221 0.28889999999999999 0.10880000000000001 4.9100000000000005E-2 0.15789999999999998 5.4899999999999997E-2 -0.37 0.2646 0.15060000000000001 2.1100000000000001E-2 0.16 0.32300000000000001 0.13700000000000001Year-end
Total Annual Return
Large Company Stock Returns: 1926 - 2014
1926 1927 1928 1929 1930 1931 1932 1933 1934 1935 1936 1937 1938 1939 1940 1941 1942 1943 1944 1945 1946 1947 1948 1949 1950 1951 1952 1953 1954 1955 1956 1957 1958 1959 1960 1961 1962 1963 1964 1965 1966 1967 1968 1969 1970 1971 1972 1973 1974 1975 1976 1977 1978 1979 1980 1981 1982 1983 1984 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 0.13750000000000001 0.35700000000000004 0.45079999999999998 -8.8000000000000009E-2 -0.25129999999999997 -0.436 -8.7499999999999994E-2 0.52950000000000008 -2.3099999999999999E-2 0.46789999999999998 0.32490000000000002 -0.35450000000000004 0.31629999999999997 -1.43E-2 -0.1036 -0.1202 0.20749999999999999 0.25379999999999997 0.19489999999999999 0.36210000000000003 -8.4199999999999997E-2 5.0499999999999996E-2 4.99E-2 0.17809999999999998 0.30049999999999999 0.2379 0.18390000000000001 -1.0700000000000001E-2 0.52229999999999999 0.31620000000000004 6.9099999999999995E-2 -0.105 0.43569999999999998 0.1201 4.6999999999999993E-3 0.26839999999999997 -8.7499999999999994E-2 0.22699999999999998 0.1643 0.12380000000000001 -0.10060000000000001 0.23980000000000001 0.1103 -8.43E-2 3.9399999999999998E-2 0.14300000000000002 0.18989999999999999 -0.1469 -0.26469999999999999 0.37229999999999996 0.23929999999999998 -7.1599999999999997E-2 6.5700000000000008E-2 0.18609999999999999 0.32500000000000001 -4.9200000000000001E-2 0.2155 0.22559999999999999 6.2699999999999992E-2 0.31730000000000003 0.1867 5.2499999999999998E-2 0.1661 0.31690000000000002 -3.1E-2 0.30459999999999998 7.6200000000000004E-2 0.1008 1.32E-2 0.37579999999999997 0.2296 0.33360000000000001 0.2858 0.2104 -9.0999999999999998E-2 -0.11890000000000001 -0.221 0.28889999999999999 0.10880000000000001 4.9100000000000005E-2 0.15789999999999998 5.4899999999999997E-2 -0.37 0.2646 0.15060000000000001 2.1100000000000001E-2 0.16 0.32300000000000001 0.13700000000000001Year-end
Total Annual Return
Large Company Stock Returns: 1926 - 2014
1926 1927 1928 1929 1930 1931 1932 1933 1934 1935 1936 1937 1938 1939 1940 1941 1942 1943 1944 1945 1946 1947 1948 1949 1950 1951 1952 1953 1954 1955 1956 1957 1958 1959 1960 1961 1962 1963 1964 1965 1966 1967 1968 1969 1970 1971 1972 1973 1974 1975 1976 1977 1978 1979 1980 1981 1982 1983 1984 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 0.13750000000000001 0.35700000000000004 0.45079999999999998 -8.8000000000000009E-2 -0.25129999999999997 -0.436 -8.7499999999999994E-2 0.52950000000000008 -2.3099999999999999E-2 0.46789999999999998 0.32490000000000002 -0.35450000000000004 0.31629999999999997 -1.43E-2 -0.1036 -0.1202 0.20749999999999999 0.25379999999999997 0.19489999999999999 0.36210000000000003 -8.4199999999999997E-2 5.0499999999999996E-2 4.99E-2 0.17809999999999998 0.30049999999999999 0.2379 0.18390000000000001 -1.0700000000000001E-2 0.52229999999999999 0.31620000000000004 6.9099999999999995E-2 -0.105 0.43569999999999998 0.1201 4.6999999999999993E-3 0.26839999999999997 -8.7499999999999994E-2 0.22699999999999998 0.1643 0.12380000000000001 -0.10060000000000001 0.23980000000000001 0.1103 -8.43E-2 3.9399999999999998E-2 0.14300000000000002 0.18989999999999999 -0.1469 -0.26469999999999999 0.37229999999999996 0.23929999999999998 -7.1599999999999997E-2 6.5700000000000008E-2 0.18609999999999999 0.32500000000000001 -4.9200000000000001E-2 0.2155 0.22559999999999999 6.2699999999999992E-2 0.31730000000000003 0.1867 5.2499999999999998E-2 0.1661 0.31690000000000002 -3.1E-2 0.30459999999999998 7.6200000000000004E-2 0.1008 1.32E-2 0.37579999999999997 0.2296 0.33360000000000001 0.2858 0.2104 -9.0999999999999998E-2 -0.11890000000000001 -0.221 0.28889999999999999 0.10880000000000001 4.9100000000000005E-2 0.15789999999999998 5.4899999999999997E-2 -0.37 0.2646 0.15060000000000001 2.1100000000000001E-2 0.16 0.32300000000000001 0.13700000000000001Year-end
Total Annual Return
Large Company Stock Returns: 1926 - 2014
1926 1927 1928 1929 1930 1931 1932 1933 1934 1935 1936 1937 1938 1939 1940 1941 1942 1943 1944 1945 1946 1947 1948 1949 1950 1951 1952 1953 1954 1955 1956 1957 1958 1959 1960 1961 1962 1963 1964 1965 1966 1967 1968 1969 1970 1971 1972 1973 1974 1975 1976 1977 1978 1979 1980 1981 1982 1983 1984 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 0.13750000000000001 0.35700000000000004 0.45079999999999998 -8.8000000000000009E-2 -0.25129999999999997 -0.436 -8.7499999999999994E-2 0.52950000000000008 -2.3099999999999999E-2 0.46789999999999998 0.32490000000000002 -0.35450000000000004 0.31629999999999997 -1.43E-2 -0.1036 -0.1202 0.20749999999999999 0.25379999999999997 0.19489999999999999 0.36210000000000003 -8.4199999999999997E-2 5.0499999999999996E-2 4.99E-2 0.17809999999999998 0.30049999999999999 0.2379 0.18390000000000001 -1.0700000000000001E-2 0.52229999999999999 0.31620000000000004 6.9099999999999995E-2 -0.105 0.43569999999999998 0.1201 4.6999999999999993E-3 0.26839999999999997 -8.7499999999999994E-2 0.22699999999999998 0.1643 0.12380000000000001 -0.10060000000000001 0.23980000000000001 0.1103 -8.43E-2 3.9399999999999998E-2 0.14300000000000002 0.18989999999999999 -0.1469 -0.26469999999999999 0.37229999999999996 0.23929999999999998 -7.1599999999999997E-2 6.5700000000000008E-2 0.18609999999999999 0.32500000000000001 -4.9200000000000001E-2 0.2155 0.22559999999999999 6.2699999999999992E-2 0.31730000000000003 0.1867 5.2499999999999998E-2 0.1661 0.31690000000000002 -3.1E-2 0.30459999999999998 7.6200000000000004E-2 0.1008 1.32E-2 0.37579999999999997 0.2296 0.33360000000000001 0.2858 0.2104 -9.0999999999999998E-2 -0.11890000000000001 -0.221 0.28889999999999999 0.10880000000000001 4.9100000000000005E-2 0.15789999999999998 5.4899999999999997E-2 -0.37 0.2646 0.15060000000000001 2.1100000000000001E-2 0.16 0.32300000000000001 0.13700000000000001Year-end
Total Annual Return
Historical Returns
| Historical Returns | ||||
| Large Company Stocks | Long-Term Government Bonds | U.S. Treasury Bills | Consumer Price Index | |
| 1926 | 13.75% | 5.69% | 3.30% | -1.12% |
| 1927 | 35.70% | 6.58% | 3.15% | -2.26% |
| 1928 | 45.08% | 1.15% | 4.05% | -1.16% |
| 1929 | -8.80% | 4.39% | 4.47% | 0.58% |
| 1930 | -25.13% | 4.47% | 2.27% | -6.40% |
| 1931 | -43.60% | -2.15% | 1.15% | -9.32% |
| 1932 | -8.75% | 8.51% | 0.88% | -10.27% |
| 1933 | 52.95% | 1.92% | 0.52% | 0.76% |
| 1934 | -2.31% | 7.59% | 0.27% | 1.52% |
| 1935 | 46.79% | 4.20% | 0.17% | 2.99% |
| 1936 | 32.49% | 5.13% | 0.17% | 1.45% |
| 1937 | -35.45% | 1.44% | 0.27% | 2.86% |
| 1938 | 31.63% | 4.21% | 0.06% | -2.78% |
| 1939 | -1.43% | 3.84% | 0.04% | 0.00% |
| 1940 | -10.36% | 5.70% | 0.04% | 0.71% |
| 1941 | -12.02% | 0.47% | 0.14% | 9.93% |
| 1942 | 20.75% | 1.80% | 0.34% | 9.03% |
| 1943 | 25.38% | 2.01% | 0.38% | 2.96% |
| 1944 | 19.49% | 2.27% | 0.38% | 2.30% |
| 1945 | 36.21% | 5.29% | 0.38% | 2.25% |
| 1946 | -8.42% | 0.54% | 0.38% | 18.13% |
| 1947 | 5.05% | -1.02% | 0.62% | 8.84% |
| 1948 | 4.99% | 2.66% | 1.06% | 2.99% |
| 1949 | 17.81% | 4.58% | 1.12% | -2.07% |
| 1950 | 30.05% | -0.98% | 1.22% | 5.93% |
| 1951 | 23.79% | -0.20% | 1.56% | 6.00% |
| 1952 | 18.39% | 2.43% | 1.75% | 0.75% |
| 1953 | -1.07% | 2.28% | 1.87% | 0.75% |
| 1954 | 52.23% | 3.08% | 0.93% | -0.74% |
| 1955 | 31.62% | -0.73% | 1.80% | 0.37% |
| 1956 | 6.91% | -1.72% | 2.66% | 2.99% |
| 1957 | -10.50% | 6.82% | 3.28% | 2.90% |
| 1958 | 43.57% | -1.72% | 1.71% | 1.76% |
| 1959 | 12.01% | -2.02% | 3.48% | 1.73% |
| 1960 | 0.47% | 11.21% | 2.81% | 1.36% |
| 1961 | 26.84% | 2.20% | 2.40% | 0.67% |
| 1962 | -8.75% | 5.72% | 2.82% | 1.33% |
| 1963 | 22.70% | 1.79% | 3.23% | 1.64% |
| 1964 | 16.43% | 3.71% | 3.62% | 0.97% |
| 1965 | 12.38% | 0.93% | 4.06% | 1.92% |
| 1966 | -10.06% | 5.12% | 4.94% | 3.46% |
| 1967 | 23.98% | -2.86% | 4.39% | 3.04% |
| 1968 | 11.03% | 2.25% | 5.49% | 4.72% |
| 1969 | -8.43% | -5.63% | 6.90% | 6.20% |
| 1970 | 3.94% | 18.92% | 6.50% | 5.57% |
| 1971 | 14.30% | 11.24% | 4.36% | 3.27% |
| 1972 | 18.99% | 2.39% | 4.23% | 3.41% |
| 1973 | -14.69% | 3.30% | 7.29% | 8.71% |
| 1974 | -26.47% | 4.00% | 7.99% | 12.34% |
| 1975 | 37.23% | 5.52% | 5.87% | 6.94% |
| 1976 | 23.93% | 15.56% | 5.07% | 4.86% |
| 1977 | -7.16% | 0.38% | 5.45% | 6.70% |
| 1978 | 6.57% | -1.26% | 7.64% | 9.02% |
| 1979 | 18.61% | 1.26% | 10.56% | 13.29% |
| 1980 | 32.50% | -2.48% | 12.10% | 12.52% |
| 1981 | -4.92% | 4.04% | 14.60% | 8.92% |
| 1982 | 21.55% | 44.28% | 10.94% | 3.83% |
| 1983 | 22.56% | 1.29% | 8.99% | 3.79% |
| 1984 | 6.27% | 15.29% | 9.90% | 3.95% |
| 1985 | 31.73% | 32.27% | 7.71% | 3.80% |
| 1986 | 18.67% | 22.39% | 6.09% | 1.10% |
| 1987 | 5.25% | -3.03% | 5.88% | 4.43% |
| 1988 | 16.61% | 6.84% | 6.94% | 4.42% |
| 1989 | 31.69% | 18.54% | 8.44% | 4.65% |
| 1990 | -3.10% | 7.74% | 7.69% | 6.11% |
| 1991 | 30.46% | 19.36% | 5.43% | 3.06% |
| 1992 | 7.62% | 7.34% | 3.48% | 2.90% |
| 1993 | 10.08% | 13.06% | 3.03% | 2.75% |
| 1994 | 1.32% | -7.32% | 4.39% | 2.67% |
| 1995 | 37.58% | 25.94% | 5.61% | 2.54% |
| 1996 | 22.96% | 0.13% | 5.14% | 3.32% |
| 1997 | 33.36% | 12.02% | 5.19% | 1.70% |
| 1998 | 28.58% | 14.45% | 4.86% | 1.61% |
| 1999 | 21.04% | -7.51% | 4.80% | 2.68% |
| 2000 | -9.10% | 17.22% | 5.98% | 3.39% |
| 2001 | -11.89% | 5.51% | 3.33% | 1.55% |
| 2002 | -22.10% | 15.15% | 1.61% | 2.40% |
| 2003 | 28.89% | 2.01% | 0.94% | 1.90% |
| 2004 | 10.88% | 8.12% | 1.14% | 3.30% |
| 2005 | 4.91% | 6.89% | 2.79% | 3.40% |
| 2006 | 15.79% | 0.28% | 4.97% | 2.54% |
| 2007 | 5.49% | 10.85% | 4.52% | 4.08% |
| 2008 | -37.00% | 14.24% | 1.24% | 0.90% |
| 2009 | 26.46% | -25.61% | 0.15% | 2.72% |
| 2010 | 15.06% | 7.73% | 0.14% | 1.50% |
| 2011 | 2.11% | 35.75% | 0.06% | 2.96% |
| 2012 | 16.00% | 1.80% | 0.80% | 1.74% |
| 2013 | 32.30% | -14.69% | 0.50% | 1.50% |
| 2014 | 13.70% | 12.90% | 0.20% | 0.80% |
Percentile
Section 10.3
| Chapter 10 - Section 3 |
| Return Statistics |
| Calculating the average return for a large sample is a time consuming task. Fortunately, Excel has the function AVERAGE that calculates the arithmetic average of a series of numbers. In the Historical Returns worksheet, we have reproduced the historical returns from Table 10.1. To calculate the arithmetic average return for each of these return series, we can use the AVERAGE function, which gives us: |
| Average return |
| Large company stocks: |
| Long-term government bonds: |
| U.S. Treasury bills: |
| Inflation: |
| Notice the average returns are slightly different from those reported in Table 10.2 because they are from two different sources. |
| RWJ Excel Tip |
| The AVERAGE function is a Statistical function under More Functions on the Formula tab. The AVERAGE function is relatively simple to use. We only need to input the cells that we want to calculate the average for in the box. Below, you will see our inputs for calculating the large company stock average return. Notice, we entered the data as an array by selecting all the adjacent cells with the mouse. The array is reported with a colon (:) between the first cell and the last cell. Of course, we could have entered one cell at a time by entering the cell in Number1, hitting tab, and then entering the next cell in Number2, and so on. |
| As you can see, Excel will only allow 255 numeric arguments, but will allow many more numbers when you enter the values as an array. |
| Suppose you want to sort the returns by the highest large company stock return. Excel has a sort function that allows you to sort based on text (A to Z), whether the text is case sensitive, number, date or time, cell color, font, and/or icon. We want to sort the returns by largest to smallest return. First, we want to sort by large company stock returns, then Treasury bills returns, inflation, and finally, long-term government bond returns. |
| RWJ Excel Tip |
| To sort columns (or rows), first select the entire array of data you want to sort. In this case, we selected all five columns including the year. We also included the column headers in our selection. Next, on the Home tab, click on Sort & Filter, then Custom Sort. This brings up a box that will look something like the box below: |
| Notice at the top right of the box, the box with "My data has headers" has been checked. This tells Excel to ignore the first row when it sorts. We chose Large Company stocks in the first column, sorted on values in the second column, then chose largest to smallest in the third column. To add another level of sorting, we clicked on "Add Level" in the upper left of the box and repeated the procedure for the other data arrays. Below, you will find a snapshot of what we got. |
| Notice that 1933 had the largest large company stock return over this period. In this example, the sorts on the other data series are almost irrelevant. A multi-level sort such as we have done here uses the first sort as the first priority. In this case, Excel will sort the large company stock returns from largest to smallest. If any of the large company stock returns are the same, it will then sort by U.S. Treasury bill returns from largest to smallest. To get the data back to chronological order, sort the data by the year from smallest to largest. |
Section 10.5
| Chapter 10 - Section 5 | |||
| Risk Statistics | |||
| To examine the variability of the historical returns, again we may want to start with a graphical analysis. In the textbook, Figure 10.9 illustrates a frequency distribution for large company stocks, which we will replicate here. To do this, we must first create bins. A bin is just the limits of the range. For example, in this case, the bin starts at -60%, which will count the number of annual returns less than -60%. The next bin is -55%. This will count the number of returns less than -55%, but greater than -60%. To create this frequency distribution, we will use the FREQUENCY function. | |||
| Bin | Frequency | Ranges | Frequency |
| -60% | |||
| -55% | |||
| -50% | |||
| -45% | |||
| -40% | |||
| -35% | |||
| -30% | |||
| -25% | |||
| -20% | |||
| -15% | |||
| -10% | |||
| -5% | |||
| 0% | |||
| 5% | |||
| 10% | |||
| 15% | |||
| 20% | |||
| 25% | |||
| 30% | |||
| 35% | |||
| 40% | |||
| 45% | |||
| 50% | |||
| 55% | |||
| 60% | |||
| RWJ Excel Tip | |||
| The FREQUENCY function is a Statistical function found under More Functions. Because the FREQUENCY function is somewhat complicated, we will walk through the process step-by-step. | |||
| 1) Set up the bins as we described above. The bins should be set up so that the smallest and largest bins have no observations. | |||
| 2) Select the column (or row) next to the bins. The FREQUENCY function will return one more value than the number of bins you have created, so select one more cell than the number of bins. In this case, we selected cell D33. This will return any results larger than your last bin value. | |||
| 3) Go to the Formula tab and insert the Frequency function, found under More Functions, Statistical. | |||
| 4) The Data_array is the data you want to analyze with the frequency distribution, while the bins array is the array that shows the bins you have already created. | |||
| 5) DO NOT click OK when you have entered both the data array and bins array information! Before you click OK, hold down both the CTRL and SHIFT keys, then click on OK. This will populate the entire array of frequency distributions that you have created. | |||
| Below, you can see the function arguments we used to create this frequency distribution. | |||
| Notice that beside the frequency distribution, we created another frequency distribution with ranges. We created the ranges by concatenating the bins we created earlier. While we could graph a frequency distribution using the bins, the legend will not be as descriptive. We will use the ranges for graphing the frequency distribution, which you will see below. | |||
| RWJ Excel Tip | |||
| To create this frequency distribution, we selected the data we wanted to graph (H9:H32) and went to the Insert tab, Column chart, 2-D, Clustered Column. We then selected the data for the horizontal axis and input the legends as normal. Generally, when Excel draws a frequency distribution as we have done here, there is a large amount of space between the columns. You can change this width by right clicking on a column and selecting Format Data Series. In the box this brings up, there is a Series Option selection that will allow you to change the gap between the columns. | |||
| One thing to notice is that the frequency distribution here looks less normal than Figure 10.9 in the textbook. When looking at any graph, always be aware that it is relatively easy to make the graph look like you want. In other words, it is very easy to get mislead by a graph. | |||
| There is another way to graph a histogram in Excel. To graph the histogram with this method, we need to set up the bins as we have done, but we do not need to use the FREQUENCY function. | |||
| RWJ Excel Tip | |||
| For another way to graph a histogram, go to the Data tab, select Data Analysis, then Histogram: | |||
| Once you click OK, Excel will bring up another box for the input information: | |||
| We used the large company stock returns from the Historical Returns worksheet and the bins we previously created. We selected to have the output in a different worksheet, and selected the Chart Output option. If you look at the Histogram worksheet, you will find the output, which includes the frequency distribution. Notice that the graph output is "raw". We could always change the look of the graph if we wanted. | |||
| Variance and Standard Deviation | |||
| The variance and standard deviation of an asset are measures of the risk of the asset. Fortunately, Excel has built-in functions that calculate both the variance and standard deviation. | |||
| Variance of large company stock returns: | 0.040220 | ||
| Standard deviation of large company stock returns: | 20.05% | ||
| RWJ Excel Tip | |||
| The variance function (VAR) and standard deviation function (STDEV) are both located in the Statistical category of More Functions. To use both functions, insert the function and select the cells or array you want Excel to calculate the variance or standard deviation for. Below, you will see how we entered the returns to calculate the variance and standard deviation for large company stock returns. | |||
| If you remember back to "sadistics", there are actually 2 different variances, and therefore standard deviations: the sample standard deviation and the population standard deviation. The difference in the calculation is that the sample standard deviation divides by N - 1, while the population standard deviation divides by N. As its name implies, the population standard deviation is applicable when you have the entire population of observations, not just a sample. In the case of stock returns, the returns are actually a sample of stock returns since there were stock returns before 1926 and there will be more in the future. Should you ever need them, Excel has built-in functions for the population variance (VARP) and population standard deviation (STDEVP). Using these functions on large company stock returns, we find the following: | |||
| Population variance of large company stock returns: | 0.039768 | ||
| Population standard deviation of large company stock returns: | 19.94% | ||
| RWJ Excel Tip | |||
| The population variance function (VARP) and population standard deviation function (STDEVP) are both located in the Statistical category of More Functions. To use both functions, insert the function and select the cells or array you want Excel to calculate the population variance or population standard deviation for. Below, you will see how we entered the returns to calculate the population variance and population standard deviation for large company stock returns. | |||
| Notice that the sample variance and population variance are similar, as are the sample standard deviation and population standard deviation. This should often be the case. If you have enough numbers to calculate a standard deviation or variance in practice, whether you divide by N or N-1 should make little difference. Having said this, we will continue to use the sample standard deviation and sample variance throughout the text because they are technically the correct calculations. | |||
| Normal Distribution | |||
| We are almost certain that one thing everyone remembers from statistics class was looking up standard normal probabilities on tables. Excel has built-in functions that calculate standard normal probabilities much more quickly and accurately. | |||
| Looking back on the small-company stock returns in Table 10.1, what is the probability that you will lose more than a specified percentage of your money in a single year? | |||
| Specified value: | -16.00% | ||
| Average return: | 16.50% | ||
| Standard deviation: | 32.50% | ||
| Probability less than value: | 15.87% | ||
| RWJ Excel Tip | |||
| To find the standard normal probability, we use the NORMDIST function. Note, this is not the same as the NORMSDIST (notice the "S" in the middle) that will be used in a later chapter. To find the NORMDIST function, go to More Functions, Statistical. The NORMDIST function box looks like this: | |||
| The inputs for the NORMDIST function are X (the value you want to test), the Mean (average), and Standard_dev (standard deviation). The Cumulative value uses True for the cumulative probability function and False for the probability mass function. Notice that NORMDIST gives the probability less than the specified value. In other words, if you look at the normal distribution, this is the probability to the left of the specified value. Since the total probability is 1 (100%), if we want the probability that a return is greater than the specified value, we need to take 1 minus the value given by the NORMDIST function. You can look below for an example. | |||
| Suppose we are considering an asset with the following distribution. What is the probability that the return of the asset is greater than a specified value? | |||
| Specified value: | 17.00% | ||
| Average return: | 13.00% | ||
| Standard deviation: | 35.20% | ||
| Probability greater than value: | 45.48% | ||
| Another question that can arise when dealing with returns is this: What is the minimum loss an investor can expect a specified percentage of the time? We can use the large company stock information from Figure 10.2 to answer this question. | |||
| Specified percentage: | 20.00% | ||
| Average return: | 11.70% | ||
| Standard deviation: | 20.60% | ||
| Minimum expected loss: | -5.64% | ||
| RWJ Excel Tip | |||
| To answer this question, we use the NORMINV function. The NORMINV function box looks like this: | |||
| The inputs for the NORMINV function are Probability (the probablity you specify), the Mean (average), and Standard_dev (standard deviation). In this case, the probablity that the return is less than -5.64 percent is 20 percent, or about once every 5 years. | |||
| Summary Statistics | |||
| Suppose you want all of the summary statistics for a data series in one step. Excel has an analysis tool that will do this for you. Below, you can see the descriptive statistics for large company stock returns for 1926-2014. | |||
| Large Company Stocks | |||
| Mean | 0.1195449438 | ||
| Standard Error | 0.0212582097 | ||
| Median | 0.143 | ||
| Mode | -0.0875 | ||
| Standard Deviation | 0.200549549 | ||
| Sample Variance | 0.0402201216 | ||
| Kurtosis | 0.0364005177 | ||
| Skewness | -0.4160754403 | ||
| Range | 0.9655 | ||
| Minimum | -0.436 | ||
| Maximum | 0.5295 | ||
| Sum | 10.6395 | ||
| Count | 89 | ||
| RWJ Excel Tip | |||
| To calculate all of the descriptive statistics for a data series, go to the Data tab, select Data Analysis, and Descriptive Statistics: | |||
| When you click OK, another box comes up with the options that are available. Below are the options we made: | |||
| We selected the large company stock returns, including the header and checked the options for the label in the first row. We next selected the output range so that Excel would report the statistics on this worksheet, and finally checked Summary statistics. As you can see, if you are interested in all or most of the basic descriptive statistics about some data, this option will allow you to get all of the statistics in one step. | |||
Frequency Distribution of Large Company Stocks: 1926-2014
Range of Annual Returns
Number of Observations
Frequency Distribution of Large Company Stocks: 1926-2014
Range of Annual Returns
Number of Observations
Frequency Distribution of Large Company Stocks: 1926-2014
Range of Annual Returns
Number of Observations
Frequency Distribution of Large Company Stocks: 1926-2014
Range of Annual Returns
Number of Observations
Frequency Distribution of Large Company Stocks: 1926-2014
Range of Annual Returns
Number of Observations
Frequency Distribution of Large Company Stocks: 1926-2014
Range of Annual Returns
Number of Observations
Frequency Distribution of Large Company Stocks: 1926-2014
Range of Annual Returns
Number of Observations
Frequency Distribution of Large Company Stocks: 1926-2014
Range of Annual Returns
Number of Observations
Frequency Distribution of Large Company Stocks: 1926-2014
Range of Annual Returns
Number of Observations
Frequency Distribution of Large Company Stocks: 1926-2014
Range of Annual Returns
Number of Observations
Frequency Distribution of Large Company Stocks: 1926-2014
Range of Annual Returns
Number of Observations
Frequency Distribution of Large Company Stocks: 1926-2014
Range of Annual Returns
Number of Observations
Histogram
| Bin | Frequency |
| -60% | 0 |
| -55% | 0 |
| -50% | 0 |
| -45% | 0 |
| -40% | 1 |
| -35% | 2 |
| -30% | 0 |
| -25% | 2 |
| -20% | 1 |
| -15% | 0 |
| -10% | 6 |
| -5% | 7 |
| 0% | 5 |
| 5% | 5 |
| 10% | 7 |
| 15% | 7 |
| 20% | 9 |
| 25% | 9 |
| 30% | 4 |
| 35% | 9 |
| 40% | 4 |
| 45% | 1 |
| 50% | 2 |
| 55% | 2 |
| 60% | 0 |
| More | 0 |
Histogram
Frequency -60% -55% -50% -45% -40% -35% -30% -25% -20% -15% -10% -5% 0% 5% 10% 15% 20% 25% 30% 35% 40% 45% 50% 55% 60% More 0 0 0 0 1 2 0 2 1 0 6 7 5 5 7 7 9 9 4 9 4 1 2 2 0 0Bin
Frequency
Section 10.6
| Chapter 10 - Section 6 | |||
| More about Average Returns | |||
| We used the AVERAGE function to calculate the arithmetic average of a series of returns. Excel also has a function that calculates the geometric average, however the function is slightly more difficult to use for returns since it will not work if any value in the series is less than or equal to zero. To adjust for this, we can add 1 to each return first, find the geometric return, and then subtract 1 from this answer. At the bottom of this worksheet, we have added 1 to the annual return for each asset class. Now we use Excel's geometric mean function: | |||
| Large company stocks: | |||
| Long-term government bonds: | |||
| U.S. Treasury bills: | |||
| Inflation: | |||
| RWJ Excel Tip | |||
| The GEOMEAN function is under More Functions, Statistical on the Formula tab. The GEOMEAN function requires the input for the cells that we want to calculate the geometric mean for in the box. Below, you will see our inputs for calculating the gemoetric return for 1 plus the large company stock returns. Notice, we entered the data as an array by selecting all the adjacent cells with the mouse. The array is reported with a colon (:) between the first cell and the last cell. Of course, we could have entered one cell at a time by entering the cell in Number1, hitting tab, and then entering the next cell in Number2, and so on. | |||
| Now we can subtract one to find the geometric return for each asset class: | |||
| Geometric Return | |||
| Large company stocks: | |||
| Long-term government bonds: | |||
| U.S. Treasury bills: | |||
| Inflation: | |||
| 1 (One) plus the annual return | |||
| Large Company Stocks | Long-Term Government Bonds | U.S. Treasury Bills | Consumer Price Index |
| 1926 | |||
| 1927 | |||
| 1928 | |||
| 1929 | |||
| 1930 | |||
| 1931 | |||
| 1932 | |||
| 1933 | |||
| 1934 | |||
| 1935 | |||
| 1936 | |||
| 1937 | |||
| 1938 | |||
| 1939 | |||
| 1940 | |||
| 1941 | |||
| 1942 | |||
| 1943 | |||
| 1944 | |||
| 1945 | |||
| 1946 | |||
| 1947 | |||
| 1948 | |||
| 1949 | |||
| 1950 | |||
| 1951 | |||
| 1952 | |||
| 1953 | |||
| 1954 | |||
| 1955 | |||
| 1956 | |||
| 1957 | |||
| 1958 | |||
| 1959 | |||
| 1960 | |||
| 1961 | |||
| 1962 | |||
| 1963 | |||
| 1964 | |||
| 1965 | |||
| 1966 | |||
| 1967 | |||
| 1968 | |||
| 1969 | |||
| 1970 | |||
| 1971 | |||
| 1972 | |||
| 1973 | |||
| 1974 | |||
| 1975 | |||
| 1976 | |||
| 1977 | |||
| 1978 | |||
| 1979 | |||
| 1980 | |||
| 1981 | |||
| 1982 | |||
| 1983 | |||
| 1984 | |||
| 1985 | |||
| 1986 | |||
| 1987 | |||
| 1988 | |||
| 1989 | |||
| 1990 | |||
| 1991 | |||
| 1992 | |||
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Pivot Tables
| Chapter 10 |
| Pivot Tables |
| We have already shown how to analyze data using Excel functions such as AVERAGE and STDEV. Since we have a small data set, these functions are probably the easiest way to analyze historic annual market returns for the period we examined in the text. However, we feel that pivot tables are such an important part of data analysis, especially for large data sets, that we wanted to introduce you to pivot tables. On the Historic Data 2 worksheet, you will find the annual returns for the four asset classes from Table 10.1 in the textbook. Notice, we have the year listed in the first column, the asset class in the second column, and the return in the third column. Pivot tables are designed to group things that are alike. In this case, we will have the pivot table group the returns by the asset class in the second column. Suppose we had data with several categorizations in the columns, such as sales with region and quarter, we could create a pivot table that totaled sales by region and quarter. |
| Since we have a small data set, our pivot table will be basic. Below, we describe how we constructed the pivot table on the next worksheet. |
| RWJ Excel Tip |
| To create a pivot table, we went to the data we wanted to use to create a pivot table and selected a cell in the data (any cell in the data array will work). Next, we went to the Insert tab, then selected Pivot Table. This brought up a box that looks like this: |
| Excel automatically selects all of the data in the rows and columns of the data array. We chose to output the data in a new worksheet and clicked OK. This brings up a new worksheet that looks like this: |
| To get Excel to display the returns by asset class, we selected Asset and Return in the Pivot Table File List. As you can see on the Pivot Table worksheet, the values calculated for each asset class are the sum of the returns over this period. While this is useful for numbers such as sales, it is less useful for returns. You can right-click on the Sum of Returns header at the top of the column, select Summarize Values By, and Average. The result is the average of each assets returns over his period. You can also choose More Options and calculate other statistics such as variance and standard deviation. |
| Excel will also graph a chart from pivot table data. We went to the Insert tab and clicked PivotChart. This brought up a box that looks like this: |
| On the new worksheet, we selected Asset and Return in the Pivot Table File List. The pivot table and graph were automatically inserted. As before, the calculation was the sum of the returns, so we changed the calculation to the average using the Summarize Data By option like we explained above. |
| Pivot tables are a powerful way to categorize and summarize data. There are many more options for pivot tables and we encourage you to explore them. |
Historic data 2
| Year | Asset | Return |
| 1926 | CPI | -1.12% |
| 1927 | CPI | -2.26% |
| 1928 | CPI | -1.16% |
| 1929 | CPI | 0.58% |
| 1930 | CPI | -6.40% |
| 1931 | CPI | -9.32% |
| 1932 | CPI | -10.27% |
| 1933 | CPI | 0.76% |
| 1934 | CPI | 1.52% |
| 1935 | CPI | 2.99% |
| 1936 | CPI | 1.45% |
| 1937 | CPI | 2.86% |
| 1938 | CPI | -2.78% |
| 1939 | CPI | 0.00% |
| 1940 | CPI | 0.71% |
| 1941 | CPI | 9.93% |
| 1942 | CPI | 9.03% |
| 1943 | CPI | 2.96% |
| 1944 | CPI | 2.30% |
| 1945 | CPI | 2.25% |
| 1946 | CPI | 18.13% |
| 1947 | CPI | 8.84% |
| 1948 | CPI | 2.99% |
| 1949 | CPI | -2.07% |
| 1950 | CPI | 5.93% |
| 1951 | CPI | 6.00% |
| 1952 | CPI | 0.75% |
| 1953 | CPI | 0.75% |
| 1954 | CPI | -0.74% |
| 1955 | CPI | 0.37% |
| 1956 | CPI | 2.99% |
| 1957 | CPI | 2.90% |
| 1958 | CPI | 1.76% |
| 1959 | CPI | 1.73% |
| 1960 | CPI | 1.36% |
| 1961 | CPI | 0.67% |
| 1962 | CPI | 1.33% |
| 1963 | CPI | 1.64% |
| 1964 | CPI | 0.97% |
| 1965 | CPI | 1.92% |
| 1966 | CPI | 3.46% |
| 1967 | CPI | 3.04% |
| 1968 | CPI | 4.72% |
| 1969 | CPI | 6.20% |
| 1970 | CPI | 5.57% |
| 1971 | CPI | 3.27% |
| 1972 | CPI | 3.41% |
| 1973 | CPI | 8.71% |
| 1974 | CPI | 12.34% |
| 1975 | CPI | 6.94% |
| 1976 | CPI | 4.86% |
| 1977 | CPI | 6.70% |
| 1978 | CPI | 9.02% |
| 1979 | CPI | 13.29% |
| 1980 | CPI | 12.52% |
| 1981 | CPI | 8.92% |
| 1982 | CPI | 3.83% |
| 1983 | CPI | 3.79% |
| 1984 | CPI | 3.95% |
| 1985 | CPI | 3.80% |
| 1986 | CPI | 1.10% |
| 1987 | CPI | 4.43% |
| 1988 | CPI | 4.42% |
| 1989 | CPI | 4.65% |
| 1990 | CPI | 6.11% |
| 1991 | CPI | 3.06% |
| 1992 | CPI | 2.90% |
| 1993 | CPI | 2.75% |
| 1994 | CPI | 2.67% |
| 1995 | CPI | 2.54% |
| 1996 | CPI | 3.32% |
| 1997 | CPI | 1.70% |
| 1998 | CPI | 1.61% |
| 1999 | CPI | 2.68% |
| 2000 | CPI | 3.39% |
| 2001 | CPI | 1.55% |
| 2002 | CPI | 2.40% |
| 2003 | CPI | 1.90% |
| 2004 | CPI | 3.30% |
| 2005 | CPI | 3.40% |
| 2006 | CPI | 2.54% |
| 2007 | CPI | 4.08% |
| 2008 | CPI | 0.94% |
| 2009 | CPI | 2.72% |
| 2010 | CPI | 1.50% |
| 2011 | CPI | 2.96% |
| 2012 | CPI | 1.74% |
| 2013 | CPI | 1.50% |
| 2014 | CPI | 0.80% |
| 1926 | Large company stocks | 13.75% |
| 1927 | Large company stocks | 35.70% |
| 1928 | Large company stocks | 45.08% |
| 1929 | Large company stocks | -8.80% |
| 1930 | Large company stocks | -25.13% |
| 1931 | Large company stocks | -43.60% |
| 1932 | Large company stocks | -8.75% |
| 1933 | Large company stocks | 52.95% |
| 1934 | Large company stocks | -2.31% |
| 1935 | Large company stocks | 46.79% |
| 1936 | Large company stocks | 32.49% |
| 1937 | Large company stocks | -35.45% |
| 1938 | Large company stocks | 31.63% |
| 1939 | Large company stocks | -1.43% |
| 1940 | Large company stocks | -10.36% |
| 1941 | Large company stocks | -12.02% |
| 1942 | Large company stocks | 20.75% |
| 1943 | Large company stocks | 25.38% |
| 1944 | Large company stocks | 19.49% |
| 1945 | Large company stocks | 36.21% |
| 1946 | Large company stocks | -8.42% |
| 1947 | Large company stocks | 5.05% |
| 1948 | Large company stocks | 4.99% |
| 1949 | Large company stocks | 17.81% |
| 1950 | Large company stocks | 30.05% |
| 1951 | Large company stocks | 23.79% |
| 1952 | Large company stocks | 18.39% |
| 1953 | Large company stocks | -1.07% |
| 1954 | Large company stocks | 52.23% |
| 1955 | Large company stocks | 31.62% |
| 1956 | Large company stocks | 6.91% |
| 1957 | Large company stocks | -10.50% |
| 1958 | Large company stocks | 43.57% |
| 1959 | Large company stocks | 12.01% |
| 1960 | Large company stocks | 0.47% |
| 1961 | Large company stocks | 26.84% |
| 1962 | Large company stocks | -8.75% |
| 1963 | Large company stocks | 22.70% |
| 1964 | Large company stocks | 16.43% |
| 1965 | Large company stocks | 12.38% |
| 1966 | Large company stocks | -10.06% |
| 1967 | Large company stocks | 23.98% |
| 1968 | Large company stocks | 11.03% |
| 1969 | Large company stocks | -8.43% |
| 1970 | Large company stocks | 3.94% |
| 1971 | Large company stocks | 14.30% |
| 1972 | Large company stocks | 18.99% |
| 1973 | Large company stocks | -14.69% |
| 1974 | Large company stocks | -26.47% |
| 1975 | Large company stocks | 37.23% |
| 1976 | Large company stocks | 23.93% |
| 1977 | Large company stocks | -7.16% |
| 1978 | Large company stocks | 6.57% |
| 1979 | Large company stocks | 18.61% |
| 1980 | Large company stocks | 32.50% |
| 1981 | Large company stocks | -4.92% |
| 1982 | Large company stocks | 21.55% |
| 1983 | Large company stocks | 22.56% |
| 1984 | Large company stocks | 6.27% |
| 1985 | Large company stocks | 31.73% |
| 1986 | Large company stocks | 18.67% |
| 1987 | Large company stocks | 5.25% |
| 1988 | Large company stocks | 16.61% |
| 1989 | Large company stocks | 31.69% |
| 1990 | Large company stocks | -3.10% |
| 1991 | Large company stocks | 30.46% |
| 1992 | Large company stocks | 7.62% |
| 1993 | Large company stocks | 10.08% |
| 1994 | Large company stocks | 1.32% |
| 1995 | Large company stocks | 37.58% |
| 1996 | Large company stocks | 22.96% |
| 1997 | Large company stocks | 33.36% |
| 1998 | Large company stocks | 28.58% |
| 1999 | Large company stocks | 21.04% |
| 2000 | Large company stocks | -9.10% |
| 2001 | Large company stocks | -11.89% |
| 2002 | Large company stocks | -22.10% |
| 2003 | Large company stocks | 28.89% |
| 2004 | Large company stocks | 10.88% |
| 2005 | Large company stocks | 4.91% |
| 2006 | Large company stocks | 15.79% |
| 2007 | Large company stocks | 5.49% |
| 2008 | Large company stocks | -37.00% |
| 2009 | Large company stocks | 26.46% |
| 2010 | Large company stocks | 15.06% |
| 2011 | Large company stocks | 2.11% |
| 2012 | Large company stocks | 16.00% |
| 2013 | Large company stocks | 32.30% |
| 2014 | Large company stocks | 13.70% |
| 1926 | LT government bonds | 5.69% |
| 1927 | LT government bonds | 6.58% |
| 1928 | LT government bonds | 1.15% |
| 1929 | LT government bonds | 4.39% |
| 1930 | LT government bonds | 4.47% |
| 1931 | LT government bonds | -2.15% |
| 1932 | LT government bonds | 8.51% |
| 1933 | LT government bonds | 1.92% |
| 1934 | LT government bonds | 7.59% |
| 1935 | LT government bonds | 4.20% |
| 1936 | LT government bonds | 5.13% |
| 1937 | LT government bonds | 1.44% |
| 1938 | LT government bonds | 4.21% |
| 1939 | LT government bonds | 3.84% |
| 1940 | LT government bonds | 5.70% |
| 1941 | LT government bonds | 0.47% |
| 1942 | LT government bonds | 1.80% |
| 1943 | LT government bonds | 2.01% |
| 1944 | LT government bonds | 2.27% |
| 1945 | LT government bonds | 5.29% |
| 1946 | LT government bonds | 0.54% |
| 1947 | LT government bonds | -1.02% |
| 1948 | LT government bonds | 2.66% |
| 1949 | LT government bonds | 4.58% |
| 1950 | LT government bonds | -0.98% |
| 1951 | LT government bonds | -0.20% |
| 1952 | LT government bonds | 2.43% |
| 1953 | LT government bonds | 2.28% |
| 1954 | LT government bonds | 3.08% |
| 1955 | LT government bonds | -0.73% |
| 1956 | LT government bonds | -1.72% |
| 1957 | LT government bonds | 6.82% |
| 1958 | LT government bonds | -1.72% |
| 1959 | LT government bonds | -2.02% |
| 1960 | LT government bonds | 11.21% |
| 1961 | LT government bonds | 2.20% |
| 1962 | LT government bonds | 5.72% |
| 1963 | LT government bonds | 1.79% |
| 1964 | LT government bonds | 3.71% |
| 1965 | LT government bonds | 0.93% |
| 1966 | LT government bonds | 5.12% |
| 1967 | LT government bonds | -2.86% |
| 1968 | LT government bonds | 2.25% |
| 1969 | LT government bonds | -5.63% |
| 1970 | LT government bonds | 18.92% |
| 1971 | LT government bonds | 11.24% |
| 1972 | LT government bonds | 2.39% |
| 1973 | LT government bonds | 3.30% |
| 1974 | LT government bonds | 4.00% |
| 1975 | LT government bonds | 5.52% |
| 1976 | LT government bonds | 15.56% |
| 1977 | LT government bonds | 0.38% |
| 1978 | LT government bonds | -1.26% |
| 1979 | LT government bonds | 1.26% |
| 1980 | LT government bonds | -2.48% |
| 1981 | LT government bonds | 4.04% |
| 1982 | LT government bonds | 44.28% |
| 1983 | LT government bonds | 1.29% |
| 1984 | LT government bonds | 15.29% |
| 1985 | LT government bonds | 32.27% |
| 1986 | LT government bonds | 22.39% |
| 1987 | LT government bonds | -3.03% |
| 1988 | LT government bonds | 6.84% |
| 1989 | LT government bonds | 18.54% |
| 1990 | LT government bonds | 7.74% |
| 1991 | LT government bonds | 19.36% |
| 1992 | LT government bonds | 7.34% |
| 1993 | LT government bonds | 13.06% |
| 1994 | LT government bonds | -7.32% |
| 1995 | LT government bonds | 25.94% |
| 1996 | LT government bonds | 0.13% |
| 1997 | LT government bonds | 12.02% |
| 1998 | LT government bonds | 14.45% |
| 1999 | LT government bonds | -7.51% |
| 2000 | LT government bonds | 17.22% |
| 2001 | LT government bonds | 5.51% |
| 2002 | LT government bonds | 15.15% |
| 2003 | LT government bonds | 2.01% |
| 2004 | LT government bonds | 8.12% |
| 2005 | LT government bonds | 6.89% |
| 2006 | LT government bonds | 0.28% |
| 2007 | LT government bonds | 10.85% |
| 2008 | LT government bonds | 14.24% |
| 2009 | LT government bonds | -25.61% |
| 2010 | LT government bonds | 7.73% |
| 2011 | LT government bonds | 35.75% |
| 2012 | LT government bonds | 1.80% |
| 2013 | LT government bonds | -14.69% |
| 2014 | LT government bonds | 12.90% |
| 1926 | Treasury bills | 3.30% |
| 1927 | Treasury bills | 3.15% |
| 1928 | Treasury bills | 4.05% |
| 1929 | Treasury bills | 4.47% |
| 1930 | Treasury bills | 2.27% |
| 1931 | Treasury bills | 1.15% |
| 1932 | Treasury bills | 0.88% |
| 1933 | Treasury bills | 0.52% |
| 1934 | Treasury bills | 0.27% |
| 1935 | Treasury bills | 0.17% |
| 1936 | Treasury bills | 0.17% |
| 1937 | Treasury bills | 0.27% |
| 1938 | Treasury bills | 0.06% |
| 1939 | Treasury bills | 0.04% |
| 1940 | Treasury bills | 0.04% |
| 1941 | Treasury bills | 0.14% |
| 1942 | Treasury bills | 0.34% |
| 1943 | Treasury bills | 0.38% |
| 1944 | Treasury bills | 0.38% |
| 1945 | Treasury bills | 0.38% |
| 1946 | Treasury bills | 0.38% |
| 1947 | Treasury bills | 0.62% |
| 1948 | Treasury bills | 1.06% |
| 1949 | Treasury bills | 1.12% |
| 1950 | Treasury bills | 1.22% |
| 1951 | Treasury bills | 1.56% |
| 1952 | Treasury bills | 1.75% |
| 1953 | Treasury bills | 1.87% |
| 1954 | Treasury bills | 0.93% |
| 1955 | Treasury bills | 1.80% |
| 1956 | Treasury bills | 2.66% |
| 1957 | Treasury bills | 3.28% |
| 1958 | Treasury bills | 1.71% |
| 1959 | Treasury bills | 3.48% |
| 1960 | Treasury bills | 2.81% |
| 1961 | Treasury bills | 2.40% |
| 1962 | Treasury bills | 2.82% |
| 1963 | Treasury bills | 3.23% |
| 1964 | Treasury bills | 3.62% |
| 1965 | Treasury bills | 4.06% |
| 1966 | Treasury bills | 4.94% |
| 1967 | Treasury bills | 4.39% |
| 1968 | Treasury bills | 5.49% |
| 1969 | Treasury bills | 6.90% |
| 1970 | Treasury bills | 6.50% |
| 1971 | Treasury bills | 4.36% |
| 1972 | Treasury bills | 4.23% |
| 1973 | Treasury bills | 7.29% |
| 1974 | Treasury bills | 7.99% |
| 1975 | Treasury bills | 5.87% |
| 1976 | Treasury bills | 5.07% |
| 1977 | Treasury bills | 5.45% |
| 1978 | Treasury bills | 7.64% |
| 1979 | Treasury bills | 10.56% |
| 1980 | Treasury bills | 12.10% |
| 1981 | Treasury bills | 14.60% |
| 1982 | Treasury bills | 10.94% |
| 1983 | Treasury bills | 8.99% |
| 1984 | Treasury bills | 9.90% |
| 1985 | Treasury bills | 7.71% |
| 1986 | Treasury bills | 6.09% |
| 1987 | Treasury bills | 5.88% |
| 1988 | Treasury bills | 6.94% |
| 1989 | Treasury bills | 8.44% |
| 1990 | Treasury bills | 7.69% |
| 1991 | Treasury bills | 5.43% |
| 1992 | Treasury bills | 3.48% |
| 1993 | Treasury bills | 3.03% |
| 1994 | Treasury bills | 4.39% |
| 1995 | Treasury bills | 5.61% |
| 1996 | Treasury bills | 5.14% |
| 1997 | Treasury bills | 5.19% |
| 1998 | Treasury bills | 4.86% |
| 1999 | Treasury bills | 4.80% |
| 2000 | Treasury bills | 5.98% |
| 2001 | Treasury bills | 3.33% |
| 2002 | Treasury bills | 1.61% |
| 2003 | Treasury bills | 0.94% |
| 2004 | Treasury bills | 1.14% |
| 2005 | Treasury bills | 2.79% |
| 2006 | Treasury bills | 4.97% |
| 2007 | Treasury bills | 4.52% |
| 2008 | Treasury bills | 1.24% |
| 2009 | Treasury bills | 0.15% |
| 2010 | Treasury bills | 0.14% |
| 2011 | Treasury bills | 0.06% |
| 2012 | Treasury bills | 0.80% |
| 2013 | Treasury bills | 0.50% |
| 2014 | Treasury bills | 0.20% |
Pivot Table
Pivot Chart
Master it!
| Chapter 10 - Master it! | |
| As we have seen, over the 1926-2014 period, small company stocks had the highest return and the highest risk, while U.S. Treasury bills had the lowest return and the lowest risk. While we certainly hope you have an 83 year holding period, likely your investment will be for fewer years. One way risk and return is examined over a shorter investment period is by using rolling returns and standard deviations. Suppose you have a series of annual returns and you want to calculate a 3-year rolling average return. You would calculate the first rolling average at Year 3 using the returns for the first 3 years. The next rolling average would be calculated using the returns from Years 2, 3, and 4. | |
| a. | Using the annual returns for large company stocks and Treasury bills, calculate both the 5- and 10-year rolling average return and standard deviation. |
| b. | Over how many 5-year periods did Treasury bills outperform large company stocks? How many 10-year periods? |
| c. | Over how many 5-year periods did Treasury bills have a larger standard deviation than large company stocks? Over how many 10-year periods? |
| d. | Graph the rolling 5-year and 10-year average returns for large company stocks and Treasury bills. |
| e. | What conclusions do you draw from the above results? |
Solution
| Master it! Solution | ||||||||||||
| Large Company Stocks | Treasury Bills | 5- Year Period | 10-Year Period | |||||||||
| a. | 5-Year Average | 5-Year Standard Deviation | 10-Year Average | 10-Year Standard Deviation | 5-Year Average | 5-Year Standard Deviation | 10-Year Average | 10-Year Standard Deviation | T-Bill had a higher return | T-Bills had a higher standard deviation | T-Bill had a higher return | T-Bills had a higher standard deviation |
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