We consider which readily observable characteristics of individual stocks may be used to forecast subsequent extreme price movements. We believe we are the first to explicitly consider the predictive influence of option implied volatility in such a framework, which we unsurprisingly find to be an important indicator. However, after controlling for implied volatility levels, other factors, particularly firm age and size, still have additional predictive power of extreme returns. Furthermore, excluding predicted extreme return stocks leads to a portfolio that has lower risk (standard deviation of returns and lower beta) without sacrificing performance.
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Title
Predicting extreme returns and portfolio management implications
Publication Details
Journal of financial research, Vol.36(4)
Resource Type
Journal article
Publisher
Wiley-Blackwell Publishing, Inc.; United States
Series
36
Format
pdf
Number of pages
36
Copyright
2013 The Southern Finance Association and the Southwestern Finance Association
Identifiers
99380090338506600
Academic Unit
Accounting and Finance; Lewis Bear Jr. College of Business
Language
English
Predicting extreme returns and portfolio management implications