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Research examining the usefulness of non-linear models for stock market returns has almost reached an impasse. While there is general recognition of the superior ability of non-linear models to describe the data, there is less certainty about their ability to forecast the data. As such simple...
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This paper explores the implications of a dividend yield model for predicting aggregate Japanese stock returns using long time-series data from 1949 to 2009. In addition to one-period return tests, we conduct statistical tests based on dividend growth forecasts and long-horizon return forecasts...
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The stock expected returns are positively related to operation performances and negatively related to investment and financing activities, we check the three indicators with significant predictive power in the cross-section of stock returns, across large, medium and small cap stock groups: Net...
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There is a generalized conviction that variation in dividend yields is exclusively related to expected returns and not to expected dividend growth - e.g. Cochrane's presidential address (Cochrane (2011)). We show that this pattern, although valid for the aggregate stock market, is not true for...
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the ARIMA model to analyze the sensitivity of such models to different time horizons used in the estimation of trends and …
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