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Dynamic return predictability in the Russian stock market

机译:俄罗斯股市的动态回报可预测性

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This paper explores whether the relevance of a conditional multifac-tor model and autocorrelation in predicting the Russian aggregate stock return fluctuates over time. The source of return predictability is shown to vary considerably with information flow. In general, predictability of the Russian stock market return is at a high level. Autocorrelation increases during periods of low information flow. During periods of high information, conditional exposure to the local market risk and changes in oil price influence the expected return on the Russian stock market. The lagged global stock market factor and currency returns have insignificant influence.
机译:本文探讨了条件多因素模型和自相关在预测俄罗斯总股票收益率中的相关性是否随时间波动。回报可预测性的来源显示随着信息流的不同而有很大差异。一般而言,俄罗斯股市收益的可预测性处于较高水平。在信息流较少的时期,自相关会增加。在信息丰富的时期,有条件地承受当地市场风险以及石油价格的变化会影响俄罗斯股票市场的预期收益。滞后的全球股票市场因素和货币收益影响不大。

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