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Can idiosyncratic volatility help forecast stock market volatility?
Taylor, Nicholas - In: International journal of forecasting 24 (2008) 3, pp. 462-479
Persistent link: https://www.econbiz.de/10003764116
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Forecasting S&P 500 volatility : long memory, level shifts, leverage effects, day-of-the-week seasonality, and macroeconomic announcements
Martens, Martin; Dijk, Dick van; Pooter, Michiel de - In: International journal of forecasting 25 (2009) 2, pp. 282-303
Persistent link: https://www.econbiz.de/10003870055
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On the macroeconomic causes of exchange rate volatility
Morana, Claudio - In: International journal of forecasting 25 (2009) 2, pp. 328-350
Persistent link: https://www.econbiz.de/10003870061
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General-to-specific modelling of exchange rate volatility : a forecast evaluation
Bauwens, Luc; Sucarrat, Genaro - In: International journal of forecasting 26 (2010) 4, pp. 885-907
Persistent link: https://www.econbiz.de/10008807690
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The pricing of time-varying exchange rate risk in the stock market : a nonparametric approach
Chung, Y. Peter; Zhou, Zhong-guo - In: Studies in nonlinear dynamics and econometrics : SNDE ; … 16 (2012) 1, pp. 1-31
Persistent link: https://www.econbiz.de/10009521656
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Volatility feedback and risk premium in GARCH models with generalized hyperbolic distributions
Yang, Minxian - In: Studies in nonlinear dynamics and econometrics : SNDE ; … 15 (2011) 3, pp. 1-19
Persistent link: https://www.econbiz.de/10009521860
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A new error measure for forecasts of household-level, high resolution electrical energy consumption
Haben, Stephen; Ward, Jonathan; Vukadinović Greetham, … - In: International journal of forecasting 30 (2014) 2, pp. 246-256
Persistent link: https://www.econbiz.de/10010510941
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Forecasting return volatility : level shifts with varying jump probability and mean reversion
Xu, Jiawen; Perron, Pierre - In: International journal of forecasting 30 (2014) 3, pp. 449-463
Persistent link: https://www.econbiz.de/10010511565
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Forecasting daily return densities from intraday data : a multifractal approach
Hallam, Mark; Olmo, Jose - In: International journal of forecasting 30 (2014) 4, pp. 863-881
Persistent link: https://www.econbiz.de/10010517781
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Particle Gibbs with ancestor sampling for stochastic volatility models with: heavy tails, in mean effects, leverage, serial dependence and structural breaks
Nonejad, Nima - In: Studies in nonlinear dynamics and econometrics : SNDE ; … 19 (2015) 5, pp. 561-584
Persistent link: https://www.econbiz.de/10011431022