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Conventional financial theory considers ex-ante that risk, generally measured by the volatility, has to be …
Persistent link: https://www.econbiz.de/10011757486
volatility and other characteristics. Across stocks, trading costs are unrelated to the magnitude of momentum profits …
Persistent link: https://www.econbiz.de/10013406104
reduction in the portfolio's uncompensated timing exposure. Furthermore, by selling options, the overlay earns the volatility …
Persistent link: https://www.econbiz.de/10012944574
significant amounts of embedded leverage, this embedded leverage increases return volatility in proportion to the embedded …
Persistent link: https://www.econbiz.de/10012837946
We document profitable cross-sectional and time-series momentum in a broad set of 56 option factors constructed from monthly sorts on daily delta-hedged option positions. Option factor returns are highly autocorrelated, but momentum profits of strategies with longer formation periods are mainly...
Persistent link: https://www.econbiz.de/10014348978
volatility jump diffusion model …
Persistent link: https://www.econbiz.de/10013113731
understand the impact of macro and microeconomic forces on risk neutral volatility. VIX often increases with macroeconomic news …
Persistent link: https://www.econbiz.de/10013065496
understand the impact of macro and microeconomic forces on risk neutral volatility. VIX often increases with macroeconomic news …
Persistent link: https://www.econbiz.de/10013292369
Purpose - This article aims to present a new strategy of portfolio selection.Design/methodology/approach - After having made a comparative survey of different strategies of portfolio selection adopted by portfolio managers in Tunisia, we propose a new strategy, which we call weighted...
Persistent link: https://www.econbiz.de/10013128917
This paper studies portfolio optimization through improvements of ex-ante conditional covariance estimates. We use the cross-section of stock returns over a 52-year sample to analyze trading performance by implementing the machine learning algorithm of hierarchical clustering. We find that...
Persistent link: https://www.econbiz.de/10014514019