暂时别动
发表于 2025-3-25 03:24:13
http://reply.papertrans.cn/17/1624/162369/162369_21.png
Intuitive
发表于 2025-3-25 10:10:18
https://doi.org/10.1007/978-3-8349-9782-1stness tests. Through the implementation of the trading strategy, we propose a method to tackle the problem of the aggregation of the predictions of a polymodel, based on the information added by each elementary model.
Epidural-Space
发表于 2025-3-25 13:52:35
http://reply.papertrans.cn/17/1624/162369/162369_23.png
受人支配
发表于 2025-3-25 19:25:33
Book 2022ing polymodels in very different ways, and a genetic algorithm is describedwhich combines these different predictions into a single portfolio, aiming to optimize the portfolio returns net of transaction costs. Addressed to investors at all levels of experience this book will also be of interest to b
Myosin
发表于 2025-3-25 22:28:50
Polymodel Theory: An Overview, how polymodels are, in several respects, a superior alternative to classical multivariate regressions estimated with OLS, Ridge and Stepwise techniques; we also present the limits of the method. Although it is a regression technique, we clarify how the polymodels framework is closer to artificial intelligence than traditional statistics.
领导权
发表于 2025-3-26 03:27:06
http://reply.papertrans.cn/17/1624/162369/162369_26.png
consent
发表于 2025-3-26 05:43:43
https://doi.org/10.1007/978-3-030-97319-3AI for finance; Quantitative strategies; Polymodels; Machine learning; Cross section of stock returns; No
大沟
发表于 2025-3-26 11:13:57
978-3-030-97321-6The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
synovium
发表于 2025-3-26 14:35:32
http://reply.papertrans.cn/17/1624/162369/162369_29.png
cocoon
发表于 2025-3-26 20:07:44
Regel: Jeder Erfolg hat Spielregeln how polymodels are, in several respects, a superior alternative to classical multivariate regressions estimated with OLS, Ridge and Stepwise techniques; we also present the limits of the method. Although it is a regression technique, we clarify how the polymodels framework is closer to artificial intelligence than traditional statistics.