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A bootstrap test for predictability of asset returns
Kim, Jae H.; Shamsuddin, Abul - In: Finance research letters 35 (2020), pp. 1-7
Persistent link: https://www.econbiz.de/10012438374
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Determining risk model confidence sets
Cummins, Mark; Dowling, Michael; Esposito, Francesco - In: Finance research letters 22 (2017), pp. 169-174
Persistent link: https://www.econbiz.de/10011808131
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Quantile-based GARCH-MIDAS : estimating value-at-risk using mixed-frequency information
Xu, Yan; Wang, Xinyu; Liu, Hening - In: Finance research letters 43 (2021), pp. 1-9
Persistent link: https://www.econbiz.de/10014632411
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Combination of forecasts : a bibliography
Trenkler, Götz (contributor); Gotu, Butte (contributor) - 1998
Persistent link: https://www.econbiz.de/10000672971
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The M-competition forecast data
Klapper, Matthias; Wenzel, Thomas - 1998
Persistent link: https://www.econbiz.de/10000672974
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Financial volatility forecasting with range-based autoregressive volatility model
Li, Hongquan; Hong, Yongmiao - In: Finance research letters 8 (2011) 2, pp. 69-76
Persistent link: https://www.econbiz.de/10009301308
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Forecasting exchange rates : the multi-state Markov-switching model with smoothing
Yuan, Chunming - In: International review of economics & finance : IREF 20 (2011) 2, pp. 342-362
Persistent link: https://www.econbiz.de/10009304115
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The effect of data revision on the basic New Keynesian model
Vázquez, Jesús; María-Dolores, Ramón; Londoño, Juan M. - In: International review of economics & finance : IREF 24 (2012), pp. 235-249
Persistent link: https://www.econbiz.de/10009690181
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Fundamentals, forecast combinations and nominal exchange-rate predictability
Wu, Jyh-lin; Wang, Yi-chiuan - In: International review of economics & finance : IREF 25 (2013), pp. 129-145
Persistent link: https://www.econbiz.de/10009693330
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Forecasting the volatility of S&P depositary receipts using GARCH-type models under intraday range-based and return-based proxy measures
Liu, Hung-Chun; Chiang, Shu-mei; Cheng, Nick Ying-pin - In: International review of economics & finance : IREF 22 (2012) 1, pp. 78-91
Persistent link: https://www.econbiz.de/10009618705