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We evaluate the importance of “Limits to Arbitrage” to explain profitability of momentum strategies. Specifically, when the availability of arbitrage capital is in short supply, momentum cycles last longer, and breaks in momentum cycles are shorter. We demonstrate the robustness of our...
Persistent link: https://www.econbiz.de/10013070475
We evaluate the importance of "Limits to Arbitrage" to explain profitability of momentum strategies. Specifically, when the availability of arbitrage capital is in short supply, momentum cycles last longer, and breaks in momentum cycles are shorter. We demonstrate the robustness of our findings...
Persistent link: https://www.econbiz.de/10012463058
We evaluate the importance of "Limits to Arbitrage" to explain profitability of momentum strategies. Specifically, when the availability of arbitrage capital is in short supply, momentum cycles last longer, and breaks in momentum cycles are shorter. We demonstrate the robustness of our findings...
Persistent link: https://www.econbiz.de/10013149705
Persistent link: https://www.econbiz.de/10009719760
We use a sample of option prices, and the method of Bakshi, Kapadia and Madan (2003), to estimate the ex ante higher moments of the underlying individual securities' risk-neutral returns distribution. We find that individual securities' volatility, skewness, and kurtosis are strongly related to...
Persistent link: https://www.econbiz.de/10013116546
Persistent link: https://www.econbiz.de/10001709317
Persistent link: https://www.econbiz.de/10003298564
"We consider various MIDAS (Mixed Data Sampling) regression models to predict volatility. The models differ in the specification of regressors (squared returns, absolute returns, realized volatility, realized power, and return ranges), in the use of daily or intra-daily (5-minute) data, and in...
Persistent link: https://www.econbiz.de/10002482290
We consider various MIDAS (Mixed Data Sampling) regression models to predict volatility. The models differ in the specification of regressors (squared returns, absolute returns, realized volatility, realized power, and return ranges), in the use of daily or intra-daily (5-minute) data, and in...
Persistent link: https://www.econbiz.de/10012755731
We consider various MIDAS (Mixed Data Sampling) regression models to predict volatility. The models differ in the specification of regressors (squared returns, absolute returns, realized volatility, realized power, and return ranges), in the use of daily or intra-daily (5-minute) data, and in...
Persistent link: https://www.econbiz.de/10012467773