Purpose
The purpose of the termpaper is to make you an expert in some aspect of Financial Markets and Institutions. This semester we will focus on Financial Fraud as it relates to Markets or Institutions.  More specifically, we will be doing work on: The Metrics of a Fraud on one major Financial Institution /  Market.

You will choose a very specific financial institution or a financial security and do an in-depth and analysis of the Fraud.  You will analyze a fraud that happened in the last 5 Years. Take a quantitative approach to the problem and analyze it. Analytical and Quantitative/ Computer analysis will be amply rewarded.

Suggested Structure
Notes:

These are SUGGESTIONS for Students.
You may follow this or use your own structure for preparing the paper.
There is NO APPROVAL required for the topic you are working on as long as it falls in the guidelines stated in the Financial Fraud Research Paper Rubric (LMS Page).
The Only deliverable that is due is the FINAL PAPER on Nov 30, 2020.  You can submit it only once.  The Professor will not comment on any partial work, or suggest any topic, or idea as ORIGINALITY is what we are aiming for in developing the paper
Choose one specific Institution (Say Wells Fargo) or one specific market (say, Cryptocurrency market)
Choose a recent fraud activity (past 5 years), a major fraud ($100 million or above)
Choose an activity for one where financial information or data is publicly available
Identify and analyses the metric and framework for fraud using past / historical pattern
Take a financial and analytical approach; not a descriptive, historical or psychological approach
Do extensive research by going to scholar.google.com or other internet sites and identify ten major, relevant and focused article on this fraud
Do analysis and explain in your own words why it happened, how it happened, and what is being done to prevent such a fraud recurrence.
This is not a cut and paste job of others work. The submitted papers are automatically run through Turinitin software.  If the software finds similarity with others work there are penalties. If there are more than 30%-50% your score will be reduced to by 25%. If there are more than 50% -60% similarities your research paper score will be reduced 50%. If the similarities are greater than 60% you will get a zero in the paper.
See also the Financial Fraud presentation (PPT).
I suggest you use the Financial Fraud Research Paper Timetable (LMS Page) as a guide for working on this assignment throughout the course.
Format
The paper should be well written and proper endnotes and bibliography are required.
As a general guideline, the paper should be approximately TEN pages long, typed (1.5 spacing Font size 11 and excluding references and appendices).
The paper is due on November 30, 2020 (Monday).
Follow the Financial Fraud Research Paper Rubric (LMS Page) when developing your paper. Sample papers are available upon request.
You need to turn in an electronic copy of the paper also so that it can be checked with Turnitin software
Appropriate Topics
Some appropriate topics are below, but please choose a topic of your own.  The first criteria for grading the final project is the originality of the topic. No approval of your topic is required from instructor.

Impact of Fraud on any individual financial security Say Treasury Security
Impact of Fraud on any individual financial institution Say Wells Fargo
Impact of Fraud on global financial/banking practices Say Mobile banking
Impact of Fraud on any global financial market Say Mexican Peso
Impact of Fraud on any electronic markets – Say Derivative Security
Impact of Fraud on any individual investors Say Buyers of Insurance
Impact of Fraud on World Central Banks Cyber attack
Impact of Fraud on World payment systems -Cryptocurrency
Impact of Fraud on Global lending
Suggested, Appropriate Sources
Wall Street Journal
Business Week
Fortune
Forbes
The Economist
Financial Times
International Finance Corporations publications
Numerous Online publications
Numerous Academic Publications
The Banker
Annual Reports. 
IMF/World Bank publications.
Online Data Bases
Data-stream
Bloomberg
Yahoo
Google Scholar