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Density forecasting for the efficient balancing of the generation and consumption of electricity
Taylor, James W. - In: International journal of forecasting 22 (2006) 4, pp. 707-724
Persistent link: https://www.econbiz.de/10003385855
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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 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
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Volatility forecasting with smooth transition exponential smoothing
Taylor, James W. - In: International journal of forecasting 20 (2004) 2, pp. 273-286
Persistent link: https://www.econbiz.de/10002033481
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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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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
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Further empirical evidence on the forecasting of volatility with smooth transition exponential smoothing
Liu, Min; Taylor, James W.; Choo, Wei Chong - In: Economic modelling 93 (2020), pp. 651-659
Persistent link: https://www.econbiz.de/10012430324