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findings suggest that machine learning methods provide more accurate models of stock returns based on risk factors than … standard regression-based methods of estimation. They also indicate that certain risk factors and combinations of risk factors …
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, and predictability of stock returns. The key to our results is that the agent's risk-aversion changes over time as a …
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, and predictability of stock returns. The key to our results is that the agent's risk-aversion changes over time as a …
Persistent link: https://www.econbiz.de/10012763762
We test the hypothesis that, when thinking about allocating money to a stock, investors mentally represent the stock by the distribution of its past returns and then evaluate this distribution in the way described by prospect theory. In a simple model of asset prices where some investors think...
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weekly data and prospect theory for monthly data. The results demonstrate that the risk of a stock can be underestimated or …
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