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Forecasting volatility with support vector machine-based GARCH model
Shiyi, Chen; Härdle, Wolfgang; Jeong, Kiho - In: Journal of forecasting 29 (2010) 4, pp. 406-433
Persistent link: https://www.econbiz.de/10003989791
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Augmented half-life estimation based on high-frequency data
Huang, Mao-Lung; Liao, Shu-Yi; Lin, Kuo-Chin - In: Journal of forecasting 34 (2015) 7, pp. 523-532
Persistent link: https://www.econbiz.de/10011390442
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Forecasting latent volatility through a Markov chain approximation filter
Lo, Chia Chun; Skindilias, Konstantinos; … - In: Journal of forecasting 35 (2016) 1, pp. 54-69
Persistent link: https://www.econbiz.de/10011417712
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Forecasting VaR models under different volatility processes and distributions of return innovations
Dendramis, Yiannis; Spungin, Giles E.; Tzavalis, Elias - In: Journal of forecasting 33 (2014) 7, pp. 515-531
Persistent link: https://www.econbiz.de/10011282095
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Forecasting daily variations of stock index returns with a multifractal model of realized volatility
Lux, Thomas; Morales-Arias, Leonardo; Sattarhoff, Cristina - In: Journal of forecasting 33 (2014) 7, pp. 532-541
Persistent link: https://www.econbiz.de/10011282864
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A multiplicative error model with heterogeneous components for forecasting realized volatility
Han, Heejoon; Park, Myung D.; Zhang, Shen - In: Journal of forecasting 34 (2015) 3, pp. 209-219
Persistent link: https://www.econbiz.de/10011305259
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Model uncertainty and forecast combination in high-dimensional multivariate volatility prediction
Amendola, Alessandra; Storti, Giuseppe - In: Journal of forecasting 34 (2015) 2, pp. 83-91
Persistent link: https://www.econbiz.de/10011305317
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Realized volatility forecast of stock index under structural breaks
Yang, Ke; Chen, Langnan; Tian, Fengping - In: Journal of forecasting 34 (2015) 1, pp. 57-82
Persistent link: https://www.econbiz.de/10011305343
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Does information help intra-day volatility forecasts?
McMillan, David G.; Quiroga García, Raquel - In: Journal of forecasting 32 (2013) 1, pp. 1-9
Persistent link: https://www.econbiz.de/10009758739
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Predicting bid-ask spreads using long-memory autoregressive conditional poisson models
Groß-Klußmann, Axel; Hautsch, Nikolaus - In: Journal of forecasting 32 (2013) 8, pp. 724-742
Persistent link: https://www.econbiz.de/10010344462