A similarity‐based approach to time‐varying coefficient non‐stationary autoregression
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DOI: j.1467-9892.2012.00783.x
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Cited by:
- Hamid, Alain & Heiden, Moritz, 2015. "Forecasting volatility with empirical similarity and Google Trends," Journal of Economic Behavior & Organization, Elsevier, vol. 117(C), pages 62-81.
- Lieberman, Offer & Phillips, Peter C.B., 2022.
"Understanding temporal aggregation effects on kurtosis in financial indices,"
Journal of Econometrics, Elsevier, vol. 227(1), pages 25-46.
- Offer Lieberman & Peter C.B. Phillips, 2018. "Understanding Temporal Aggregation Effects on Kurtosis in Financial Indices," Cowles Foundation Discussion Papers 2151, Cowles Foundation for Research in Economics, Yale University.
- D. Schneller & S. Heiden & M. Heiden & A. Hamid, 2018. "Home is Where You Know Your Volatility – Local Investor Sentiment and Stock Market Volatility," German Economic Review, Verein für Socialpolitik, vol. 19(2), pages 209-236, May.
- Kapetanios, George & Mitchell, James & Shin, Yongcheol, 2014.
"A nonlinear panel data model of cross-sectional dependence,"
Journal of Econometrics, Elsevier, vol. 179(2), pages 134-157.
- Dr. James Mitchell, 2010. "A Nonlinear Panel Data Model of Cross-sectional Dependence," National Institute of Economic and Social Research (NIESR) Discussion Papers 370, National Institute of Economic and Social Research.
- James Mitchell & George Kapetanios & Yongcheol Shin, 2012. "A Nonlinear Panel Data Model of Cross-Sectional Dependence," Discussion Papers in Economics 12/01, Division of Economics, School of Business, University of Leicester.
- Lieberman, Offer & Phillips, Peter C.B., 2017.
"A multivariate stochastic unit root model with an application to derivative pricing,"
Journal of Econometrics, Elsevier, vol. 196(1), pages 99-110.
- Offer Lieberman & Peter C.B. Phillips, 2014. "A Multivariate Stochastic Unit Root Model with an Application to Derivative Pricing," Cowles Foundation Discussion Papers 1964, Cowles Foundation for Research in Economics, Yale University.
- Kinjo Keita & Sugawara Shinya, 2016. "Predicting Empirical Patterns in Viewing Japanese TV Dramas Using Case-Based Decision Theory," The B.E. Journal of Theoretical Economics, De Gruyter, vol. 16(2), pages 679-709, June.
- Golosnoy, Vasyl & Hamid, Alain & Okhrin, Yarema, 2014. "The empirical similarity approach for volatility prediction," Journal of Banking & Finance, Elsevier, vol. 40(C), pages 321-329.
- Rossi, Francesca & Lieberman, Offer, 2023. "Spatial autoregressions with an extended parameter space and similarity-based weights," Journal of Econometrics, Elsevier, vol. 235(2), pages 1770-1798.
- Lieberman, Offer & Phillips, Peter C.B., 2020.
"Hybrid stochastic local unit roots,"
Journal of Econometrics, Elsevier, vol. 215(1), pages 257-285.
- Offer Lieberman & Peter C.B. Phillips, 2017. "Hybrid Stochastic Local Unit Roots," Cowles Foundation Discussion Papers 2113, Cowles Foundation for Research in Economics, Yale University.
- Donald W. K. Andrews & Ming Li, 2024. "Inference in a Stationary/Nonstationary Autoregressive Time-Varying-Parameter Model," Cowles Foundation Discussion Papers 2389, Cowles Foundation for Research in Economics, Yale University.
- Offer Lieberman & Peter C. B. Phillips, 2014.
"Norming Rates And Limit Theory For Some Time-Varying Coefficient Autoregressions,"
Journal of Time Series Analysis, Wiley Blackwell, vol. 35(6), pages 592-623, November.
- Offer Lieberman & Peter C.B. Phillips, 2013. "Norming Rates and Limit Theory for Some Time-Varying Coefficient Autoregressions," Cowles Foundation Discussion Papers 1916, Cowles Foundation for Research in Economics, Yale University.
- Imene Ben El Hadj Said & Skander Slim, 2022. "The Dynamic Relationship between Investor Attention and Stock Market Volatility: International Evidence," JRFM, MDPI, vol. 15(2), pages 1-25, February.
- Teitelbaum, Joshua C., 2013. "Asymmetric empirical similarity," Mathematical Social Sciences, Elsevier, vol. 66(3), pages 346-351.
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