Forecasting with Mixed-Frequency Data

作者: Elena Andreou , Eric Ghysels , Andros Kourtellos

DOI: 10.1093/OXFORDHB/9780195398649.013.0009

关键词: Data miningNowcastingMixed-data samplingMathematicsStatisticsMixed frequencyKalman filter

摘要: … -frequency variables in a relatively simple, parsimonious way, is organized as follows. Section 2 covers mixed data … The final section discusses volatility models using mixed frequencies. …

参考文章(66)
Roberto S. Mariano, Yasutomo Murasawa, A New Coincident Index of Business Cycles Based on Monthly and Quarterly Series Journal of Applied Econometrics. ,vol. 18, pp. 427- 443 ,(2003) , 10.1002/JAE.695
Clive W. J. Granger, Aggregation of time series variables-a survey Research Papers in Economics. ,(1988)
Anthony S. Tay, Financial variables as predictors of real output growth Research Papers in Economics. pp. 1- ,(2007)
Robert F Engle, Stock Volatility and the Crash of '87: Discussion Review of Financial Studies. ,vol. 3, pp. 103- 106 ,(1990)
Anthony S. Tay, Mixing Frequencies: Stock Returns as a Predictor of Real Output Growth Research Papers in Economics. pp. 1- ,(2006)
Stefan Mittnik, Stefan Mittnik, Stefan Mittnik, Peter A. Zadrozny, Peter A. Zadrozny, Forecasting Quarterly German GDP at Monthly Intervals Using Monthly Ifo Business Conditions Data Social Science Research Network. ,(2004)
Michelle T Armesto, Kristie M Engemann, Michael T Owyang, None, Forecasting with Mixed Frequencies Federal Reserve Bank of St Louis Review. ,vol. 92, pp. 521- 536 ,(2010) , 10.20955/R.92.521-36
Robert F. Engle, Eric Ghysels, Bumjean Sohn, On the Economic Sources of Stock Market Volatility Social Science Research Network. ,(2009) , 10.2139/SSRN.971310