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Return-volatility relationship : insights from linear and non-linear quantile regression
Allen, David E.; Singh, Abhay Kumar; Powell, Robert; … - 2013
Persistent link: https://www.econbiz.de/10009724826
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Using exponentially weighted quantile regression to estimate value at risk and expected shortfall
Taylor, James W. - In: Journal of financial econometrics : official journal of … 6 (2008) 3, pp. 382-406
Persistent link: https://www.econbiz.de/10003748064
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A quantile regression neural network approach to estimating the conditional density of multiperiod returns
Taylor, James W. - In: Journal of forecasting 19 (2000) 4, pp. 299-311
Persistent link: https://www.econbiz.de/10001504631
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A quantile regression approach to estimating the distribution of multiperiod returns
Taylor, James W. - In: The journal of derivatives : the official publication … 7 (1999) 1, pp. 64-78
Persistent link: https://www.econbiz.de/10001432473
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An approximate long-memory range-based approach for value at risk estimation
Meng, Xiaochun; Taylor, James W. - In: International journal of forecasting 34 (2018) 3, pp. 377-388
Persistent link: https://www.econbiz.de/10012030985
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Forecasting value at risk and expected shortfall using a semiparametric approach based on the asymmetric laplace distribution
Taylor, James W. - In: Journal of business & economic statistics : JBES ; a … 37 (2019) 1, pp. 121-133
Persistent link: https://www.econbiz.de/10012176554