Original title: Good volatility, bad volatility, and the cross-section of stock returns at different investment horizons
Translated title: Good volatility, bad volatility, and the cross-section of stock returns at different investment horizons
Authors: Sako, Tony Ryan Hlali ; Baruník, Jozef (advisor) ; Kukačka, Jiří (referee)
Document type: Master’s theses
Year: 2018
Language: eng
Abstract: Starting with the assumption that different investors have different investment time preferences and different risk tolerances within their given investment time-frames, this paper investigates the value of employing multiresolution analysis to model volatility and risk-pricing. In terms of estimation and fore- casting performance we were able to reduce by at least half the volatility fore- casting errors, with even better results at longer horizons. In regards to risk pricing we learn that extreme aggregate volatility (i.e. tail risk) is priced but regular volatility is not. Additionally we find that whilst aggregate volatility is generally more important over the long-horizon, during periods of market turmoil it is much more significant over the short-horizon. Finally we show that stocks with high sensitivity to aggregate volatility have lower subsequent returns supporting the idea that they become attractive as a hedge against market volatility. JEL Classification C12, C13, C21, C22, C31, C32, C51, C52, C53 Keywords Realized Volatility, Wavelet, Long-Memory Models, Cross-Section, Volatility Forecast, High-Frequency Data Author's e-mail tony sako@yahoo.com Supervisor's e-mail barunik@fsv.cuni.cz
Keywords: Cross-Section; High-Frequency Data; Long-Memory Models; Realized Volatility; Volatility Forecast; Wavelet; Cross-Section; High-Frequency Data; Long-Memory Models; Realized Volatility; Volatility Forecast; Wavelet

Institution: Charles University Faculties (theses) (web)
Document availability information: Available in the Charles University Digital Repository.
Original record: http://hdl.handle.net/20.500.11956/99532

Permalink: http://www.nusl.cz/ntk/nusl-384637


The record appears in these collections:
Universities and colleges > Public universities > Charles University > Charles University Faculties (theses)
Academic theses (ETDs) > Master’s theses
 Record created 2018-07-30, last modified 2018-07-30


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