Individual Report

Assessment 2 Information

Subject Code: FINM4100

Subject Name: Data Analytics in Accounting, Economics & Finance

Assessment Title: Investigative Report - Fintech & Regtech

Assessment Type: Individual Assignment

Weighting: 25%

Total Marks 25

Submission: Face to Face Students: Turnitin;

Online Students: Turnitin

Due Date: Friday Week 10, 19:55pm AEST via Turnitin

Assessment Description

• This is an individual report. Word limit is 1500 (+/- 10%)

• This report should be prepared for practitioners in the financial services industry and

address the:

A) Application of big data and analytics to central banking and;

B) The effects this will have over how these institutions operate over the next 5-10 years

• Students are provided with ONE core reading and four suggested readings (Available on

MyKBS).

1. CORE: Big data approach to understand central banks and their operation.

2. SUGGESTED: Central banks’ new strategic approach toward big data analytics in

forecasting and decision-making.

3. SUGGESTED: The future of central banking - The European Central Bank.

4. SUGGESTED: Big data supporting financial stability

5. SUGGESTED: Emerging opportunities and challenges with central bank data.

Students must reference the core reading in their report.

• In addition to the core readings, students must to include THREE additional references from

their own research.

• Students may wish to use the ECB, RBA, US Federal Reserve, IMF and World Bank

websites to source valuable supplementary information.

• Theoretical frameworks and concepts from the lectures need to be applied to the analysis

• The report should be appropriately referenced based on the resources found on MyKBS

(Academic Success Centre): https://elearning.kbs.edu.au/mod/page/view.php?id=194263

Assessment Focus

Develop an investigative report into the:

A) Application of big data and analytics to central banking and;

B) The effects this will have over how these institutions operate over the next 5-10 years

In addition to your own thoughts and analysis, your report might also address the following areas:

• Use of sentiment analysis or similar approach to provide a qualitative interpretation of central bank discussion papers.

• The enterprise data governance framework adopted by a central bank such as the European Central Bank (ECB), the US Federal Reserve (The Fed) or the Bank of Japan (BoJ).

• How big data can potentially assist with (monetary) policy rate-setting that helps stablise inflation and reduce unemployment to its natural rate.

• How big data may be used to support financial stability.

• How big data could change both the internal operations of central banks and transform the external economic and financial systems central banks analyse.

• Remember to consider your audience: practitioners in the financial services industry

Suggested Structure:

Introduction

• What is central banking?

Discussion

• Use of sentiment analysis or similar approach to provide a qualitative interpretation of central bank discussion papers.

• The enterprise data governance framework adopted by a central bank such as the European Central Bank (ECB), the US Federal Reserve (The Fed) or the Bank of Japan (BoJ).

• How big data can potentially assist with (monetary) policy rate-setting that helps stablise inflation and reduce unemployment to its natural rate.

• How big data may be used to support financial stability.

• How big data could change both the internal operations of central banks and transform the external economic and financial systems central banks analyse.

• Your thoughts and recommendations (arguments should be backed by evidence).

Conclusion

• Summary of main discussion points.

References & Appendices

Task-Based Rubric

Section Criteria Marks Allocated

A) Research and Description of Current Trends

Demonstrate an ability to describe, evaluate and conduct research on current trends in big data and analytics as they relate to central banks. Integrate an understanding of analytics techniques, governance and economic and financial theory policy to address the application of big data and analytics to central banks.

4 marks 6 marks

B) Conclusions, Predictions and Reflections

Synthesise theory and practice taught in the course, personal research and the reports provided to provide a logical, convincing and supported conclusion/prediction on the effects of big data and analytics on the future of central banking

10 marks

Referencing, Presentation and Communication

Construct a report that follows a logical sequence of an executive summary, introduction, clear sections and a summary/conclusion. Judge the needs of the report audience (finance industry professionals) and adapt the report structure, presentation and jargon to address those needs. Conduct research into the report topic based on provided readings and personal research. Demonstrate an understanding of which sources are most relevant to addressing the report focus. Apply Harvard Referencing conventions to acknowledging all sources used in constructing the report

6 marks 2 marks 2 marks

Total Marks 30

Page 4 Kaplan Business School Assessment Outline

Important Study Information

Academic Integrity Policy KBS values academic integrity. All students must understand the meaning and consequences of cheating, plagiarism and other academic offences under the Academic Integrity and Conduct Policy. What is academic integrity and misconduct? What are the penalties for academic misconduct? What are the late penalties? How can I appeal my grade? Click here for answers to these questions: http://www.kbs.edu.au/current-students/student-policies/.

Word Limits for Written Assessments Submissions that exceed the word limit by more than 10% will cease to be marked from the point at which that limit is exceeded.

Study Assistance Students may seek study assistance from their local Academic Learning Advisor or refer to the resources on the MyKBS Academic Success Centre page. Click here for this information.