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The 27th SUERF Colloquium in Munich in June 2008: New Trends in Asset Management: Exploring the Implications was already topical in the Summer of 2008. The subsequent dramatic events in the Autumn of 2008 made the presentations in Munich even more relevant to investors and bankers that want to...
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This research analyses high-frequency data of the cryptocurrency market in regards to intraday trading patterns. We study trading quantitatives such as returns, traded volumes, volatility periodicity, and provide summary statistics of return correlations to CRIX (CRyptocurrency IndeX), as well...
Persistent link: https://www.econbiz.de/10012433234
The article focuses on forecasting idiosyncratic hedge fund return volatility using a non-linear Markov switching GARCH (MS-GARCH) framework in which the conditional mean and volatility of systematic and idiosyncratic hedge fund return components may exhibit dynamic Markov switching behaviour....
Persistent link: https://www.econbiz.de/10013129198
Recent research advocates volatility diversification for long equity investors. It can even be justified when short-term expected returns are highly negative, but only when its equilibrium return is ignored. Its advantages during stock market crises are clear but we show that the high...
Persistent link: https://www.econbiz.de/10013130721
In this paper, we estimate several augmented [Treynor and Mazuy1966] models to examine the performance of hedge fund index returns in four different emerging market regions. In our estimations we match the fund returns with the regional emerging market equity and bond index data, which is a...
Persistent link: https://www.econbiz.de/10013133215
High-frequency trading has become a dominant force in the U.S. capital market, accounting for over 70% of dollar trading volume. This study examines the implication of high-frequency trading for stock price volatility and price discovery. I find that high-frequency trading is positively...
Persistent link: https://www.econbiz.de/10013137079
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OBJECTIVES This research aimed to verify the performance of the Volatility Timing (VT) and Reward to Risk Timing (RRT) models of portfolio selection when compared with the Naïve and Mean-Variance ones, applied to the Brazilian stock market.METHODOLOGYThe methodology consists in applying the VT,...
Persistent link: https://www.econbiz.de/10012926429