The learner will also be taught scientific ways of back testing without succumbing to either look ahead (or) survival bias. You will learn various methods of building a robust back testing system for the strategies discussed in the previous course.
This Advanced Trading Algorithms Course offered by Coursera in partnership with Indian School of Business .
You will be taught how to differentiate between mere data mining and results based on solid empirical or theoretical foundation. Next, you will learn the ways and means of back testing the results and subjecting the back test results to stress tests.
After which, you will learn the various ways in which transaction costs and other frictions could be incorporated in the back testing algorithm.
Finally, you will learn techniques for measuring a strategies' performance and the concept of risk adjusted return. You will use some of the famous measures for risk adjusted returns such as Sharpe ratio, Treynor's Ratio and Jenson's Alpha. You will see how to pick an appropriate benchmark for a proposed fund.
Always verify the dates on the programme website programme website .
Approx. 8 hours to complete Suggested: The estimated workload for this course is 4 to 5 hours per week
This programme requires students to demonstrate proficiency in English.
Check the programme website for information about funding options.
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