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題名 An empirical comparison between kelly criterion and vince`s optimal F
作者 左瑞麟
Wu, M.-E.
Wang, C.-H.
Chung, W.-H.
Tso, Raylin
Yang, I.-H.
貢獻者 資訊科學系
關鍵詞 Big data; Commerce; Backtesting; Empirical - comparisons; Financial transactions; Kelly criterion; Numerical experiments; Odds; Profit and loss; Trading strategies; Distributed computer systems
日期 2015-12
上傳時間 9-Aug-2017 17:27:25 (UTC+8)
摘要 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. © 2015 IEEE.
關聯 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, 806-810
資料類型 conference
DOI http://dx.doi.org/10.1109/SmartCity.2015.166
dc.contributor 資訊科學系zh_Tw
dc.creator (作者) 左瑞麟zh_TW
dc.creator (作者) Wu, M.-E.en_US
dc.creator (作者) Wang, C.-H.en_US
dc.creator (作者) Chung, W.-H.en_US
dc.creator (作者) Tso, Raylinen_US
dc.creator (作者) Yang, I.-H.en_US
dc.date (日期) 2015-12en_US
dc.date.accessioned 9-Aug-2017 17:27:25 (UTC+8)-
dc.date.available 9-Aug-2017 17:27:25 (UTC+8)-
dc.date.issued (上傳時間) 9-Aug-2017 17:27:25 (UTC+8)-
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/111692-
dc.description.abstract (摘要) 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. © 2015 IEEE.en_US
dc.format.extent 210 bytes-
dc.format.mimetype text/html-
dc.relation (關聯) 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, 806-810en_US
dc.subject (關鍵詞) Big data; Commerce; Backtesting; Empirical - comparisons; Financial transactions; Kelly criterion; Numerical experiments; Odds; Profit and loss; Trading strategies; Distributed computer systemsen_US
dc.title (題名) An empirical comparison between kelly criterion and vince`s optimal Fen_US
dc.type (資料類型) conference-
dc.identifier.doi (DOI) 10.1109/SmartCity.2015.166-
dc.doi.uri (DOI) http://dx.doi.org/10.1109/SmartCity.2015.166-