Factor-augmented HAR model improves realized volatility forecasting

References

• Baek, C., R. A. Davis, and V. Pipiras. 2017. “Sparse Seasonal and Periodic Vector Autoregressive Modeling.” Computational Statistics and Data Analysis 106: 103–126. doi:10.1016/j.csda.2016.09.005.
   Web of Science ®Google Scholar
• Baek, C., R. A. Davis, and V. Pipiras. 2018. “Periodic Dynamic Factor Models: Estimation Approaches and Applications.” Electronic Journal of Statistics 12 (2): 4377–4411. doi:10.1214/18-EJS1518.
   Web of Science ®Google Scholar
• Baek, C., and V. Pipiras. 2014. “On Distinguishing Multiple Changes in Mean and Long-range Dependence Using Local Whittle Estimation.” Electronic Journal of Statistics 8: 931–964. doi:10.1214/14-EJS916.
   Web of Science ®Google Scholar
• Bai, J., and S. Ng. 2008. “Large Dimensional Factor Analysis.” Foundations and Trends® in Econometrics 3 (2): 89–163. doi:10.1561/0800000002.
   Google Scholar
• Bernanke, B. S., J. Boivin, and P. Eliasz. 2005. “Measuring the Effects of Monetary Policy: a Factor-augmented Vector Autoregressive (FAVAR) Approach.” The Quarterly Journal of Economics 120 (1): 387–422. doi:10.1162/0033553053327452.
   Web of Science ®Google Scholar
• Bilson, C. M., T. J. Brailsford, and V. C. Hooper. 2002. “The Explanatory Power of Political Risk in Emerging Markets.” International Review of Financial Analysis 11 (1): 1–27. doi:10.1016/S1057-5219(01)00067-9.
   Google Scholar
• Binder, J. J., and M. J. Merges. 2001. “Stock Market Volatility and Economic Factors.” Review of Quantitative Finance and Accounting 17 (1): 5–26. doi:10.1023/A:1011207919894.
   Google Scholar
• Chen, N. F., R. Roll, and S. A. Ross. 1986. “Economic Forces and the Stock Market.” Journal of Business 59: 383–403. doi:10.1086/296344.
   Web of Science ®Google Scholar
• Cheung, Y.-L., and S.-C. Mak. 1992. “The International Transmission of Stock Market Fluctuation between the Developed Markets and the Asian?Pacific Markets.” Applied Financial Economics 2 (1): 43–47. doi:10.1080/758527545.
   Google Scholar
• Corsi, F. 2009. “A Simple Approximate Long-memory Model of Realized Volatility.” Journal of Financial Econometrics 7 (2): 174–196. doi:10.1093/jjfinec/nbp001.
   Web of Science ®Google Scholar
• Corsi, F., S. Mittnik, C. Pigorsch, and U. Pigorsch. 2008. “The Volatility of Realized Volatility.” Econometric Reviews 27 (1–3): 46–78. doi:10.1080/07474930701853616.
   Web of Science ®Google Scholar
• Diebold, F. X., and K. Yilmaz 2008. “Macroeconomic Volatility and Stock Market Volatility, Worldwide.” National Bureau of Economic Research No. w14269 doi:10.3386/w14269.
   Google Scholar
• Goodfellow, I., Y. Bengio, and A. Courville. 2016. Deep Learning. Vol. 1.  Cambridge, MA: MIT Press.
   Google Scholar
• Graves, A. 2012. Supervised Sequence Labelling with Recurrent Neural Networks. Berlin, Heidelberg: Springer-Verlag. doi:10.1007/978-3-642-24797-2.
   Google Scholar
• Hyndman, R. J. 2006. “Another Look at Forecast-accuracy Metrics for Intermittent Demand.” Foresight: the International Journal of Applied Forecasting 4 (4): 43–46.
   Google Scholar
• In, F., S. Kim, and J. H. Yoon. 2002. “International Stock Market Linkages: Evidence from the Asian Financial Crisis.” Journal of Emerging Market Finance 1 (1): 1–29. doi:10.1177/097265270200100102.
   Google Scholar
• Jones, C. M., and G. Kaul. 1996. “Oil and the Stock Markets.” The Journal of Finance 51 (2): 463–491. doi:10.1111/j.1540-6261.1996.tb02691.x.
   Web of Science ®Google Scholar
• Kang, S. H., Z. Jiang, Y. Lee, and S. M. Yoon. 2010. “Weather Effects on the Returns and Volatility of the Shanghai Stock Market.” Physica A: Statistical Mechanics and Its Applications 389 (1): 91–99. doi:10.1016/j.physa.2009.09.010.
   Web of Science ®Google Scholar
• Lee, T., M. Kim, and C. Baek. 2015. “Tests for Volatility Shifts in GARCH against Long-Range Dependence.” Journal of Time Series Analysis 36 (2): 127–153. doi:10.1111/jtsa.12098.
   Web of Science ®Google Scholar
• Liu, C., and J. M. Maheu. 2008. “Are There Structural Breaks in Realized Volatility?” Journal of Financial Econometrics 6 (3): 326–360. doi:10.1093/jjfinec/nbn006.
   Web of Science ®Google Scholar
• Schwert, G. W. 1989. “Why Does Stock Market Volatility Change over Time?” The Journal of Finance 44 (5): 1115–1153. doi:10.1111/j.1540-6261.1989.tb02647.x.
   Web of Science ®Google Scholar
• Song, J., and C. Baek. 2019. “Detecting Structural Breaks in Realized Volatility.” Computational Statistics and Data Analysis 134: 58–75. doi:10.1016/j.csda.2018.12.007.
   Web of Science ®Google Scholar
• Stock, J. H., and M. W. Watson. 2011. “Dynamic Factor Models.” In Oxford Handbook of Economic Forecasting, edited by Michael P. Clements and David F. Hendry, 35–59. USA: Oxford University Press. doi:10.1093/oxfordhb/9780195398649.013.0003.
   Google Scholar