Narrow search
Showing 1 - 6 of 6
Cover Image
Using CAViaR models with implied volatility for value-at-risk estimation
Jeon, Jooyoung; Taylor, James W. - In: Journal of forecasting 32 (2013) 1, pp. 62-74
Persistent link: https://www.econbiz.de/10009758719
Cover Image
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
Cover Image
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
Cover Image
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
Cover Image
Estimating Value-at-Risk and Expected Shortfall using the intraday low and range data
Meng, Xiaochun; Taylor, James W. - In: European journal of operational research : EJOR 280 (2020) 1, pp. 191-202
Persistent link: https://www.econbiz.de/10012132379
Cover Image
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