Financial APT-Based Gaussian TFA Learning for Adaptive Portfolio Management
نویسندگان
چکیده
Adaptive portfolio management has been studied in the literature of neural nets and machine learning. The recently developed Temporal Factor Analysis (TFA) model mainly targeted for further study of the Arbitrage Pricing Theory (APT) is found to have potential applications in portfolio management. In this paper, we aim to illustrate the superiority of APT-based portfolio management over return-based portfolio management.
منابع مشابه
Arbitrage pricing theory-based Gaussian temporal factor analysis for adaptive portfolio management
Ever since the inception of Markowitz’s modern portfolio theory, static portfolio optimization techniques were gradually phased out by dynamic portfolio management due to the growth of popularity in automated trading. In view of the intensive computational needs, it is common to use machine learning approaches on Sharpe ratio maximization for implementing dynamic portfolio optimization. In the ...
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