Technological Shocks and Stock Market Volatility Over a Century: A GARCH-MIDAS Approach
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[1] Afees A. Salisu,et al. Policy uncertainty and stock market volatility revisited: The predictive role of signal quality , 2023, Journal of Forecasting.
[2] Rangan Gupta,et al. Forecasting stock market volatility with regime-switching GARCH-MIDAS: The role of geopolitical risks , 2023, International Journal of Forecasting.
[3] Daron Acemoglu,et al. Radical and Incremental Innovation: The Roles of Firms, Managers, and Innovators , 2022, American Economic Journal: Macroeconomics.
[4] P. Narayan,et al. Technology shocks and stock returns: A long-term perspective , 2022, Journal of Empirical Finance.
[5] Christian Pierdzioch,et al. Investor Confidence and Forecastability of US Stock Market Realized Volatility: Evidence from Machine Learning , 2021, Journal of Behavioral Finance.
[6] Rangan Gupta,et al. Investors’ Uncertainty and Forecasting Stock Market Volatility , 2021, Journal of Behavioral Finance.
[7] Po-Hsuan Hsu,et al. Corporate R&D and Stock Returns: International Evidence , 2020, Journal of Financial and Quantitative Analysis.
[8] Tae-Hwy Lee,et al. Predicting the long-term stock market volatility: A GARCH-MIDAS model with variable selection , 2020, Journal of Empirical Finance.
[9] Afees A. Salisu,et al. A moving average heterogeneous autoregressive model for forecasting the realized volatility of the US stock market: Evidence from over a century of data , 2020 .
[10] Stephen M. Miller,et al. Hybrid ARFIMA Wavelet Artificial Neural Network Model for DJIA Index Forecasting , 2020, SSRN Electronic Journal.
[11] Yaojie Zhang,et al. Geopolitical risk and oil volatility: A new insight , 2019, Energy Economics.
[12] Rangan Gupta,et al. The effect of global crises on stock market correlations: Evidence from scalar regressions via functional data analysis , 2019, Structural Change and Economic Dynamics.
[13] D. Hirshleifer,et al. Innovative Originality, Profitability, and Stock Returns , 2017 .
[14] Adnen Ben Nasr,et al. Forecasting the volatility of the dow jones islamic stock market index: Long memory vs. regime switching , 2016 .
[15] Rangan Gupta,et al. Modelling the volatility of the Dow Jones Islamic Market World Index using a fractionally integrated time-varying GARCH (FITVGARCH) model , 2014 .
[16] Christian Conrad,et al. Anticipating Long-Term Stock Market Volatility , 2014 .
[17] L. Schmid,et al. Innovation, Growth, and Asset Prices , 2013 .
[18] Eric Ghysels,et al. Stock Market Volatility and Macroeconomic Fundamentals , 2013, Review of Economics and Statistics.
[19] Ufuk Akcigit,et al. Innovation, Reallocation and Growth , 2013, American Economic Review.
[20] Ralitsa Petkova,et al. Does Idiosyncratic Volatility Proxy for Risk Exposure , 2012 .
[21] Po-Hsuan Hsu,et al. Innovative Efficiency and Stock Returns , 2012 .
[22] Dimitris Papanikolaou,et al. Growth Opportunities, Technology Shocks and Asset Prices , 2012 .
[23] Dimitris Papanikolaou,et al. Investment Shocks and Asset Prices , 2011, Journal of Political Economy.
[24] R. Engle,et al. The Factor-Spline-GARCH Model for High- and Low-Frequency Correlations , 2011 .
[25] Ufuk Akcigit,et al. Growth through Heterogeneous Innovations , 2010, Journal of Political Economy.
[26] Xiaoquan Jiang. Return dispersion and expected returns , 2010 .
[27] Po-Hsuan Hsu. Technological Innovations and Aggregate Risk Premiums , 2009 .
[28] L. Kogan,et al. The Demographics of Innovation and Asset Returns , 2009 .
[29] Nicolae Gârleanu,et al. Technological Growth and Asset Pricing , 2009 .
[30] Eric Ghysels,et al. A Component Model for Dynamic Correlations , 2009 .
[31] Bruce D. Phelps. A Comprehensive Look at the Empirical Performance of Equity Premium Prediction , 2009 .
[32] C. Cao,et al. Can Growth Options Explain the Trend in Idiosyncratic Risk , 2008 .
[33] Michael P. Clements,et al. Macroeconomic Forecasting With Mixed-Frequency Data , 2008 .
[34] Po-Hsuan Hsu,et al. Technology Prospects and the Cross-Section of Stock Returns , 2008 .
[35] M. Wohar,et al. Forecasting Stock Return Volatility in the Presence of Structural Breaks , 2008 .
[36] R. Engle,et al. The Spline-Garch Model for Low Frequency Volatility and its Global Macroeconomic Causes , 2006 .
[37] Ľuboš Pástor,et al. Technological Revolutions and Stock Prices , 2005 .
[38] Rasmus Lentz,et al. An Empirical Model of Growth Through Product Innovation , 2005, SSRN Electronic Journal.
[39] Adlai J. Fisher,et al. Corporate Investment and Asset Price Dynamics: Implications for SEO Event Studies and Long-Run Performance , 2004 .
[40] I. Welch,et al. A Comprehensive Look at the Empirical Performance of Equity Premium Prediction II , 2004, SSRN Electronic Journal.
[41] Adlai J. Fisher,et al. Corporate Investment and Asset Price Dynamics: Implications for the Cross-Section of Returns , 2003 .
[42] Mark Doms,et al. Understanding Productivity: Lessons from Longitudinal Microdata , 2000 .
[43] J. Haltiwanger,et al. Aggregate Productivity Growth: Lessons from Microeconomic Evidence , 1998 .
[44] R. Green,et al. Optimal Investment, Growth Options, and Security Returns , 1998 .
[45] Paul Newbold,et al. Testing the equality of prediction mean squared errors , 1997 .
[46] F. Diebold,et al. Comparing Predictive Accuracy , 1994, Business Cycles.
[47] G. Schwert. Why Does Stock Market Volatility Change Over Time? , 1988 .
[48] R. Shiller,et al. The Use of Volatility Measures in Assessing Market Efficiency , 1980 .
[49] Marcelo C. Medeiros,et al. Modeling and Forecasting Large Realized Covariance Matrices and Portfolio Choice , 2017 .
[50] S. Satchell,et al. Forecasting Volatility in Financial Markets : A Review , 2004 .
[51] B. Bernanke,et al. Non-Monetary Effects of the Financial Crisis in the Propagation of the Great Depression , 1983 .