76 research outputs found

    Investment under ambiguity with the best and worst in mind

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    Recent literature on optimal investment has stressed the difference between the impact of risk and the impact of ambiguity - also called Knightian uncertainty - on investors' decisions. In this paper, we show that a decision maker's attitude towards ambiguity is similarly crucial for investment decisions. We capture the investor's individual ambiguity attitude by applying alpha-MEU preferences to a standard investment problem. We show that the presence of ambiguity often leads to an increase in the subjective project value, and entrepreneurs are more eager to invest. Thereby, our investment model helps to explain differences in investment behavior in situations which are objectively identical

    Information and ambiguity: herd and contrarian behaviour in financial markets

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    “The final publication is available at Springer via http://dx.doi.org/10.1007/s11238-012-9334-3”The paper studies the impact of informational ambiguity on behalf of informed traders on history-dependent price behaviour in a model of sequential trading in nancial markets. Following Chateauneuf, Eichberger and Grant (2006), we use neo-additive capacities to model ambiguity. Such ambiguity and attitudes to it can engender herd and contrarian behaviour, and also cause the market to break down. The latter, herd and contrarian behaviour, can be reduced by the existence of a bid-ask spread.Research in part funded by ESRC grant RES-000-22-0650

    An analysis of private investors' stock market return forecasts

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    The study analyses data on stock index forecasts made by private investors. The implied returns calculated from these forecasts exhibit negative skewness and excess kurtosis. Past returns have a positive impact on the implied returns, consistent with investors expecting positive momentum. Females are less optimistic than males, but their forecasts have higher standard deviation. Consistent with the weekend effect, implied returns from estimates entered on weekends are significantly lower than those entered on weekdays. Implied returns are not consistently related to the weather conditions on the day the forecast was made.
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