Question
Suppose you are a quantitative analyst specializing in big data and machine learning.
Your manager is asking you to write a research report on a finance-related topic using big data techniques.
Examples include studying the relationship between two (or more) financial variables, designing risk management strategies, implementing trading strategies on different assets, optimizing your investment portfolio, forecasting returns/volatilities, etc.
Your final report should include six parts: Introduction, Literature Review, Data and Empirical Analysis, Conclusion, References and Appendix.
Intended Learning Outcomes being assessed
Demonstrate knowledge of advanced aspects of big data analytics
Apply appropriate machine learning techniques to analyze big data sets
Assess the statistical significance of data mining results
Utilize statistical packages (R and Python) to perform basic data mining tasks on big data
