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An empirical comparison between kelly criterion and vince's optimal F
Conference paper

An empirical comparison between kelly criterion and vince's optimal F

Mu-En Wu, Chia-Hung Wang, Wei-Ho Chung, Raylin Tso and I-Hsuan Yang
Proceedings - 2015 IEEE International Conference on Smart City, SmartCity 2015, Held Jointly with 8th IEEE International Conference on Social Computing and Networking, SocialCom 2015, 5th IEEE International Conference on Sustainable Computing and Communications, SustainCom 2015, 2015 International Conference on Big Data Intelligence and Computing, DataCom 2015, 5th International Symposium on Cloud and Service Computing, SC2 2015, pp.806-810
2015
DOI: https://doi.org/10.1109/SmartCity.2015.166

Abstract

Backtesting Kelly Criterion Odds Taiwan index futures market Vince's Optimal F Win rate Information Systems Media Technology Computer Science Applications Signal Processing Computer Networks and Communications Modeling and Simulation Sociology and Political Science Urban Studies
In this paper, we compare the differences between traditional Kelly Criterion and Vince's optimal f through backtesting actual financial transaction data. We apply a momentum trading strategy to the Taiwan Weighted Index Futures, and analyze its profit-and-loss vectors of Kelly Criterion and Vince's optimal f, respectively. Our numerical experiments demonstrate that there is nearly 90% chance that the difference gap between the bet ratio recommended by Kelly criterion and and Vince's optimal f lies within 2%. Therefore, in the actual transaction, the values from Kelly Criterion could be taken directly as the optimal bet ratio for funds control.

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