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This paper considers the problem of estimating a linear model between two heavy-tailed variables if the explanatory variable has an extremely low (or high) value. We propose an estimator for the model coefficient by exploiting the tail dependence between the two variables and prove its...
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dividends next period as ambiguous. We calibrate the agent's ambiguity aversion to match only the first moment of the risk …
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We merge the literature on downside return risk and liquidity risk and introduce the concept of extreme downside … same time when the market liquidity (return) is lowest. This effect is not driven by linear or downside liquidity risk or … extreme downside return risk and is mainly driven by more recent years. There is no premium for stocks whose liquidity is …
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