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An empirical study on the application of the Evidential Reasoning rule to decision making in financial investment

机译:实证证据规则在金融投资决策中的应用研究

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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.
机译:金融投资中的决策通常涉及矛盾的信息和投资者的主观判断。证据推理(ER)规则是一种概率推理规则,适用于处理信息冲突并允许对证据源进行判断加权。基于ER规则构建了分析师意见模型,该规则将财务分析师作为输入股票报告,并通过证据组合产生投资组合策略。由3,761名金融分析师对中国股票市场和会计研究(CSMAR)数据库中120,023份推荐报告中的数据进行的投资策略回溯测试,表明3,761位金融分析师在策略调整后的年均回报率优于CSI300六个月的投资期限内,该指数最多可增长10.69%,而学生t检验的p值可低至0.02%。该模型是ER规则首次成功应用,以汇总财务分析师的意见以进行股票投资决策。

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