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Purpose - We propose a risk factor for idiosyncratic entropy and explore the relationship between this factor and … expected stock returns. Design/methodology/approach - We estimate a cross-sectional model of expected entropy that uses several … common risk factors to predict idiosyncratic entropy. Findings - We find a negative relationship between expected …
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optimizer. The mathematical motivation for such hybrid networks is presented, using the Kolmogorov theory of metric entropy. As … options written on the S&P 500 stock index. While option pricing theory typically requires a highly complex statistical model …
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Most macroeconomic data is continuously revised as additional information becomes available. We suggest that revisions of data is an increasingly important source of uncertainty about the state of the economy and offer an alternative channel of uncertainty - data uncertainty. This paper adds on...
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