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Empirical asset pricing with nonlinear risk premia
Mijatovi´c, Aleksandar; Schneider, Paul - 2009
Persistent link: https://www.econbiz.de/10009428004
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Empirical asset pricing with nonlinear risk premia
Mijatovi´c, Aleksandar; Schneider, Paul - In: Journal of financial econometrics : official journal of … 12 (2014) 3, pp. 479-506
Persistent link: https://www.econbiz.de/10010391949
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Does the macroeconomy predict UK asset returns in a nonlinear fashion? : comprehensive out-of-sample evidence
Guidolin, Massimo; Hyde, Stuart; McMillan, David G.; … - 2010
Persistent link: https://www.econbiz.de/10008668600
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Does the macroeconomy predict UK asset returns in an nonlinear fashion? : comprehensive out-of-sample evidence
Guidolin, Massimo; Hyde, Stuart; McMillan, David G.; … - 2010
We perform a comprehensive examination of the recursive, comparative predictive performance of a number of linear and non-linear models for UK stock and bond returns. We estimate Markov switching, threshold autoregressive (TAR), and smooth transition autoregressive (STR) regime switching models,...
Persistent link: https://www.econbiz.de/10008990694
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Intraday volatility patterns in the Taiwan stock market and the impact on volatility forecasting
Wang, Yaw-huei; Wang, Yun-Yi - In: Asia-Pacific journal of financial studies 39 (2010) 1, pp. 70-89
Persistent link: https://www.econbiz.de/10009315274
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Corporate yield curves as predictors of future economic and financial indicators
Saar, Dan; Yagil, Yossi - In: Applied economics 47 (2015) 19/21, pp. 1997-2011
Persistent link: https://www.econbiz.de/10010513396
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Non-linear predictability of stock market returns : comparative evidence from Japan and the US
Humpe, Andreas; Macmillan, Peter - In: Investment management and financial innovations 11 (2014) 4, pp. 36-48
Persistent link: https://www.econbiz.de/10010514142
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Forecasting stock returns : do commodity prices help?
Black, Angela J.; Klinkowska, Olga; McMillan, David G.; … - In: Journal of forecasting 33 (2014) 8, pp. 627-639
Persistent link: https://www.econbiz.de/10011282841
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Asymmetries in conditional mean and variance : modelling stock returns by asMA-asQGARCH
Brännäs, Kurt; Gooijer, Jan G. de - 2000
variancefunctions. In a genuine out-of-sample forecasting experiment theperformance of the best fitted asMA-asQGARCH model is compared … topure asMA and no-change forecasts. This is done both in terms ofconditional mean forecasting as well as in terms of risk … forecasting. …
Persistent link: https://www.econbiz.de/10011303289
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Empirical evidence on the importance of aggregation, asymmetry, and jumps for volatility prediction
Duong, Diep; Swanson, Norman R. - 2013
forecasting volatility. Key papers in this area include Andersen, Bollerslev, Diebold and Labys (2003), Corsi (2004), Andersen …
Persistent link: https://www.econbiz.de/10009771770