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Fundamental and Technical Analysis with The Global Financial Crisis

The Global Financial Crisis has been discussed more than any other economic event. This affair has been one of the most negative episodes in history due to its impact on the world’s economies and on such a very large population of its people. The causes of the Global Financial Crisis have been attributed to a variety of factors. Fundamental and technical analyses, in parallel importance, are two of those contributing factors. In this analyses, each analysis participator attempts to prove the usefulness of his or her principle, especially after the Global Financial Crisis because people want to be clarified what leaded them to that crisis. Both fundamental and technical analyses seek to identify future prices of stocks on the stock market and which one was responsible for the Global Financial Crisis. This essay will provide the overview of the Global Financial Crisis and mainly focusing on the reasons why fundamental analysis is not literally responsible for the Global Financial Crisis.

Fundamental analysis is the investigation of obvious and unobservable economic factors that may have an impact on the operations of a company. Like other types of analysis, it aims to predict the future prices of stocks. It also identifies the expansion of an economy and estimates which stocks are undervalued and which are expected to grow (Sharma and Preeti 2009). Kothari (2001) explains that according to fundamental analysis, a firm’s value calculated from engaging financial reports for individual companies with economic factors that may influence that company. Fundamental analysis generates this result by looking at companies’ financial statements, announcements and other available resources. Fundamentally analyzing the company’s information and examining its economic data leads often to the right prediction about stocks in the future (Abarbanell and Bushee 1997). However, Waldron and Seng (2005) believe that the purpose of fundamental analysis is a “reduction of risk in decision making”. They disprove of the idea that abnormal returns cannot be continuously gained.

It is argued that fundamental analysis is a means of gaining money from a sinuous channel rather than from a straightforward channel, as stated by Penman (cited in Waldron and Seng 2005). Although, there is no single method of fundamental analysis, according to (Sharma and Preeti 2009), fundamental analysis is made up of two processes: distinguishing between mature and young firms and studying shares that are expected to grow. There are two common methods for conducting fundamental analysis: a "top down" strategy and a "bottom up" strategy. A “top down” strategy is a methodology of analyzing company’s operations and its expected future activities then moving to an analysis of the entire macroeconomic of the country in which that company operates. Conversely, a “bottom down” strategy starts from the opposite end, narrowly analyzing the macroeconomic structure, governmental policies and the company’s environment until it reaches the investment strategy of the company. In a given macroeconomic structure, it may be that some shares adequately reflect the value of their companies, but the company value will be negatively affected by the global financial crisis if the whole economy has an inefficient market form. Consequently, in the event of economic recession, almost all industries and companies will be negatively impacted. Fundamental analysis brings a clear advantage for investors because it allows them to base their decision making on clear result.

On the other hand, technical analysis focuses on marginalizing the market efficiency hypothesis (Neftci and Policano 1984). After the Global Financial Crisis, a large number of market participants disputed this hypothesis and attempted to remove it from the market (Easton and Kerin 2010). In short, technical practitioners believe that the history repeats itself, so a market’s historical and present data are the main resource used to predict the market’s future movement (Brown and Jennings 1989). Technical analysis aims to shape the trends of a market which are shown by the direction of economy forces. Identifying trends is the cornerstone of technical analysis because trends’ direction is unsystematic. Also, because of “high leverage, high liquidity and low brokerage costs permit quick trading profit” at the short term, technical analysis has become very common, particularly in the futures market (Austin 1989). Brown and Jennings (1989) add that obtaining information from past and present prices increases the opportunity of having a relatively accurate expectation. However, technical analysis ignores some factors that should be analysed; as a result, the predictions of future prices are inadequate (Austin 1986). Technical analysis in reality takes less time to perform than other strategies, so it is preferred by some because it is not time-consuming, especially for the short run, and when the results are needed quickly.

Nevertheless, technical analysis has some weakness because of behavioral actions, which can be taken into account by practitioners if there is a widely -spread conflicting information. Strand (2007) states that technical analysts attribute a price’s movements to people’s interactions with the market, so he argues that technical traders are able to forecast future prices when they study and analysis behaviors. Austin (1986) specifies one of the limitations of technical analysis, which claim this statement. That is technical analysts rely on announced information when this information is controlled by professional practitioner. Thus, studying traders’ behaviors might help in expecting the trend but it also there are professional traders who are difficult to predict their actions. Furthermore, technical analysis helps in making profit for a short period of time, but it is hardly ever to work for the long term.

The following two examples will show how both fundamental and technical analysis work in the event of the Global Financial Crisis. The two examples has be taken from the Australian stock market. Firstly, the chart 1 shows the movement of prices in the Australian economy in general.

Chart 1:

( $4857 ) ( $3690 ) ( $6434 ) ( $6297 )

http://au.finance.yahoo.com/

As can be seen, a large drop occurred in early 2009, a result of the Global Financial Crisis that shocked the world. Consequently, firms’ prices went down because they were involved in the economy.

The first example is Commonwealth Bank (CBA): Chart 2

( $56 ) ( $29 ) ( $59 ) ( $49 )

http://au.finance.yahoo.com/

The second example is Westpac Bank: Chart 3

( $25 ) ( $17 ) ( $49 ) ( $47 )

http://au.finance.yahoo.com/

By looking at the Charts 2 and 3, it can be seen that the shares prices of the Commonwealth Bank and Westpac Bank decreased in the trend, following the trend of the Australian economy because traders were exposed to the panic news and all public information that time. To clarify this point, those three trends will be compared to each other in one chart, Chart 4.

The combination of three shares: Chart 4

http://au.finance.yahoo.com/

The green line represents the all ordinaries share price.

The blue line represents the Westpac share price.

The red line represents the Commonwealth share price.

The chart illustrates what occurred during the Global Financial Crisis. Traders and technical practitioners became a target in news reports around that time, which led to increase panic amongst them. This derived them to rely on their emotions on their decision making. Fundamental analysis has an upward trend during its analysed years while technical analysis predicted the markets’ direction as being a head and shoulders curve. Chart 5, below, clarifies the reason behind excluding fundamental analysis from being responsible for the Global Financial Crisis.

Chart 5

The black line in Chart 5 demonstrates the expectation of fundamental analysts. Fundamental analysis does provide reasonable returns but it does not provide the best return usually. Sometimes, the returns on shares are high when the expectation of returns, according to fundamental analysis, is much less. This is because fundamental analysis calculates the intrinsic value of a company, while in reality the company’s share may be traded in overvalued prices. In contrast, the gap between the fundamental curve and actual trading in late 2009 and early 2010 is attributed to technical trading being done at that time. Moreover, this period is considered to be a short term according to fundamental analysis. Investors are meant to gain benefits from fundamental analysis in the long run.

Table 1

These calculations in Table 1 show the return on equity (ROE) over the covered period of the Global Financial Crisis. As it can be seen, that the ratio moved with the shares movement that time because the prices in calculation are taken from actual prices. However, the concept of fundamental analysis is to demonstrate that fundamental analysis work for the long run and it is not concerning about the short run. Technical analysis is the best way to use in short run and that is what led to the Global Financial Crisis in that short period of time.

In conclusion, technical analysis is a method for people who are aiming to make a profit in the short run while fundamental analysis plays a key role to make an abnormal profit in the long term. As it can be seen from the graph, the prices will continue increasing gradually during years.

Both fundamental and technical analyses offer a great opportunity for investors to have strong concepts about the market what it will look like in the future. Both are necessary to study when, how and why the prices have changed. Investors, with information provided by technical and fundamental analyses, will be able to rely on a confident base when they make decisions. Many believe using both strategies increase the chance of successful trade. Fundamentally choosing the suitable economies and companies and technically trading on those specific markets is the key of making profit. (Sharma, M. & Preeti 2009) states that technical analysis will success when the historical prices reflexes the fundamental data, otherwise the expectation of technical analysis only will be unsuccessful.

References:

Abarbanell, J.S. and B.J. Bushee. 1997. "Fundamental analysis, future earnings, and stock prices." Journal of Accounting Research 35(1): 1-24. 16/08/2012 http://search.proquest.com.ezp01.library.qut.edu.au/docview/206721576/Record/138B3EDDB4260E8A228/7?accountid=13380

Austin, M.J. 1986. "Futures fund performance: A test of the effectiveness of technical analysis." The Journal of Futures Markets (1986-1998) 6(2): 175-175. Accessed 21/08/2012 http://search.proquest.com.ezp01.library.qut.edu.au/docview/225502431/138B3E85E9E3F06A8CB/9?accountid=13380

Brown, David P. and Robert H. Jennings. 1989. The Review of Financial Studies 2(4): pp. 527-551. Accessed 16/08/2012 http://www.jstor.org.ezp01.library.qut.edu.au/stable/2962067?seq=1

Brown, David P. and Robert H. Jennings. 1989. "On technical analysis." The Review of Financial Studies (1986-1998) 2(4): 527-527. Accessed16/08/2012 http://search.proquest.com.ezp01.library.qut.edu.au/docview/207668890/138B3E85E9E3F06A8CB/5?accountid=13380

Bonenkamp, U., C. Homburg and A. Kempf. 2011. “Fundamental information in technical trading strategies. Journal of Business Finance & Accounting 38: 842–860. Accessed 17/08/2012. doi: 10.1111/j.1468-5957.2011.02252.x.

Easton, S and P. Kerin. 2010. “Market efficiency and the Global Financial Crisis.” Australian Economic Review 43(4): 464-468. Accessed 16/08/2012 http://onlinelibrary.wiley.com.ezp01.library.qut.edu.au/doi/10.1111/j.1467-8462.2010.00610.x/citedby?globalMessage=0&systemMessage=Wiley+Online+Library+will+be+disrupted+on+25+August+from+13%3A00-15%3A00+BST+%2808%3A00-10%3A00+EDT%29+for+essential+maintenance

Kluis, A. 2006. "Fundamentals vs. technical analysis." Corn and Soybean Digest 66(5): 34-34. Accessed 19/08/2012 http://search.proquest.com.ezp01.library.qut.edu.au/docview/215248559

Kothari, S.P. 2001. “Capital market research in accounting.” Journal of Accounting and Economics 31: 105-231. Accessed 17/08/2012 http://dx.doi.org.ezp01.library.qut.edu.au/10.1016/S0165-4101(01)00030-1

Neftci, S.N. and A.J. Policano. 1984. "Can chartists outperform the market? Market efficiency tests for ‘technical analysis.’" The Journal of Futures Markets (pre-1986) 4(4): 465-465. Accessed 21/08/2012 http://search.proquest.com.ezp01.library.qut.edu.au/docview/228298342/138B3E85E9E3F06A8CB/1?accountid=13380

Sharma, M. and Preeti. 2009. "Prediction of stock returns for growth firms: A fundamental analysis." Vision 13(3): 31-40. Accessed 20/08/2012 http://search.proquest.com.ezp01.library.qut.edu.au/docview/202667469

Strand, R. 2007. "Fundamental analysis vs technical analysis." Energy Processing Canada 39(3): 5-5. Accessed 17/08/2010 http://search.proquest.com.ezp01.library.qut.edu.au/docview/204670054

Seng, D. and J.R. Hancock. 2012. "Fundamental analysis and the prediction of earnings." International Journal of Business and Management 7(3): 32-46. Accessed 16/08/2012 http://search.proquest.com.ezp01.library.qut.edu.au/docview/927737638/138B3EDDB4260E8A228/2?accountid=13380

Tomek, W.G. and S.F. Querin. 1984. "Random processes in prices and technical analysis." The Journal of Futures Markets (pre-1986) 4(1): 15-15. Accessed 20/08/2012 http://search.proquest.com.ezp01.library.qut.edu.au/docview/228321988/138B3E85E9E3F06A8CB/7?accountid=13380

Waldron, M.A. and D. Seng. 2005. "The usefulness of financial information in investment decisions." The Business Review, Cambridge 4(1): 101-103. Accessed 18/08/2012. http://search.proquest.com.ezp01.library.qut.edu.au/docview/197314374/138B3EDDB4260E8A228/15?accountid=13380

$49

20072008200920102007200820092010

total assets4.4E+084.88E+086.2E+086.46E+083.78E+084.4E+085.9E+086.18E+08

total liabilities4.16E+084.61E+085.89E+086.11E+083.62E+084.22E+085.55E+0858088000

net income44700004741000472300056640003451000385900034460006346000

ROE0.1828670.181390.1502130.1592350.2167850.2199240.0994890.011328

CBAWBC

Sheet1

CBA WBC
2007 2008 2009 2010 2007 2008 2009 2010
total assets 440157000 487572000 620372000 646330000 377653000 439676000 589587000 618277000
total liabilities 415713000 461435000 588930000 610760000 361734000 422129000 554950000 58088000
net income 4470000 4741000 4723000 5664000 3451000 3859000 3446000 6346000
ROE 0.1828669612 0.1813903661 0.1502130908 0.1592353107 0.2167849739 0.2199236337 0.0994889858 0.0113283195