Reference no: EM133071458

FINM4100 Data Analytics in Accounting, Economics and Finance - Kaplan Business School

Assessment - Investigative Report - Fintech & Regtech

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

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

Attachment:- Data Analytics in Accounting.rar