An empirical study on the application of the Evidential Reasoning rule to decision making in financial investment
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摘要
Decision making in financial investment often involves conflicting information and subjective judgment of the investors. The Evidential Reasoning (ER) rule is a probabilistic inference rule that is suitable for handling conflicts in information and allows judgmental weighting on evidence sources. A model of analyst opinions is constructed based on the ER rule, which takes as input stock reports by financial analysts and produces portfolio strategies via evidence combination. Backtesting the investment strategies on data from the China Stock Market & Accounting Research (CSMAR) Database of 120,023 recommendation reports released between November 2008 and December 2012 by 3,761 financial analysts shows that the risk-adjusted average annual return of the strategy outperformed that of the CSI300 index by as much as 10.69% for an investment horizon of six months, with the p value from Student’s t-test as low as 0.02%. The model serves as the first successful application of the ER rule to aggregating financial analysts’ opinions for decision making in stock investment.
论文关键词:G11,G14,G17,Decision making,Financial investment,Dempster–Shafer theory,Evidential reasoning rule,Financial analysts,Market efficiency,Portfolio strategy,Mass function
论文评审过程:Received 27 April 2018, Revised 25 October 2018, Accepted 29 October 2018, Available online 8 November 2018, Version of Record 19 December 2018.
论文官网地址:https://doi.org/10.1016/j.knosys.2018.10.039