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The extended switching regression model : allowing for multiple latent state variables
Preminger, Arie; Ben-Zion, Uri; Wettstein, David - In: Journal of forecasting 26 (2007) 7, pp. 457-473
Persistent link: https://www.econbiz.de/10003593886
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Extended switiching regression models with time-varying probabilities for combining forecasts
Preminger, Arie; Ben-Zion, Uri; Wettstein, David - In: The European journal of finance 12 (2006) 6/7, pp. 455-472
Persistent link: https://www.econbiz.de/10003382811
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Forecasting volatilities in equity, bond and money markets : a market-based approach
Wang, Kent - In: Australian journal of management 35 (2010) 2, pp. 165-180
Persistent link: https://www.econbiz.de/10008656214
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Predicting volatility: getting the most out of return data sampled at different frequencies
Ghysels, Eric; Santa-Clara, Pedro; Valkanov, Rossen I. - In: Journal of econometrics 131 (2006) 1/2, pp. 59-95
Persistent link: https://www.econbiz.de/10003298564
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Evaluating density forecasts from models of stock market returns
Raaij, Gabriela de; Raunig, Burkhard - In: The European journal of finance 11 (2005) 2, pp. 151-166
Persistent link: https://www.econbiz.de/10002841826
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Predicting volatility : getting the most out of return data sampled at different frequencies
Ghysels, Eric; Santa-Clara, Pedro; Valkanov, Rossen - 2004
"We consider various MIDAS (Mixed Data Sampling) regression models to predict volatility. The models differ in the … specification of regressors (squared returns, absolute returns, realized volatility, realized power, and return ranges), in the use … data, we find that daily realized power (involving 5-minute absolute returns) is the best predictor of future volatility …
Persistent link: https://www.econbiz.de/10002482290
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Evaluating density forecasts with an application to stock market returns
Raaij, Gabriela de; Raunig, Burkhard - 2002
Persistent link: https://www.econbiz.de/10001650402
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Does partisan conflict predict a reduction in US stock market (realized) volatility? : evidence from a quantile-on-quantile regression model
Gupta, Rangan; Pierdzioch, Christian; Selmi, Refk; … - In: The North American journal of economics and finance : a … 43 (2018), pp. 87-96
Persistent link: https://www.econbiz.de/10012036263
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Incorporating economic policy uncertainty in US equity premium models : a nonlinear predictability analysis
Bekiros, Stelios; Gupta, Rangan; Majumdar, Anandamayee - In: Finance research letters 18 (2016), pp. 291-296
Persistent link: https://www.econbiz.de/10011657223
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Evaluating density forecasts with an application to stock market returns
Raaij, Gabriela de; Raaij, Gabriela de; Raunig, Burkhard - 2002
Density forecasts have become quite important in economics and finance. For example, such forecasts play a central role in modern financial risk management techniques like Value at Risk. This paper suggests a regression based density forecast evaluation framework as a simple alternative to other...
Persistent link: https://www.econbiz.de/10001657476