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Forecasting with VAR models : fat tails and stochastic volatility
Chiu, Ching Wai Jeremy; Mumtaz, Haroon; Pinter, Gabor - 2015
Persistent link: https://www.econbiz.de/10011312174
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Forecasting with VAR models : fat tails and stochastic volatility
Chiu, Ching Wai Jeremy; Mumtaz, Haroon; Pintér, Gábor - In: International journal of forecasting 33 (2017) 4, pp. 1124-1143
Persistent link: https://www.econbiz.de/10011746951
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Forecasting Peruvian macroeconomic variables with Bayesian Vector autorregressions with time-varying in the mean
Pérez Forero, Fernando - 2021
Persistent link: https://www.econbiz.de/10012543349
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Anticipating business-cycle turning points in real time using density forecasts from a VAR
Schreiber, Sven; Soldatenkova, Natalia - In: Journal of macroeconomics 47 (2016), pp. 166-187
Persistent link: https://www.econbiz.de/10011707598
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Forecasting dynamically asymmetric fluctuations of the U.S. business cycle
Zanetti Chini, Emilio - In: International journal of forecasting 34 (2018) 4, pp. 711-732
Persistent link: https://www.econbiz.de/10012031089
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Forecasting market risk of portfolios: copula-Markov switching multifractal approach
Segnon, Mawuli; Trede, Mark - In: The European journal of finance 24 (2018) 14, pp. 1123-1143
Persistent link: https://www.econbiz.de/10012258877
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The importance of time‐varying volatility and country interactions in forecasting economic activity
Trypsteen, Steven - In: Journal of forecasting 36 (2017) 6, pp. 615-628
Persistent link: https://www.econbiz.de/10011861398
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Large hybrid time-varying parameter VARs
Chan, Joshua - 2019
Persistent link: https://www.econbiz.de/10012224555
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Real-time density forecasts from VARs with stochastic volatility
Clark, Todd E. - 2009
Persistent link: https://www.econbiz.de/10003844506
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Forecasting value-at-risk using high-frequency information
Huang, Huiyu; Lee, Tae-hwy - In: Econometrics : open access journal 1 (2013) 1, pp. 127-140
In the prediction of quantiles of daily Standard&Poor’s 500 (S&P 500) returns we consider how to use high-frequency 5-minute data. We examine methods that incorporate the high frequency information either indirectly, through combining forecasts (using forecasts generated from returns sampled...
Persistent link: https://www.econbiz.de/10009776365