Uncertainty due to Infectious Diseases and Forecastability of the Realized Variance of US REITs: A Note
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- Gupta, Rangan & Subramaniam, Sowmya & Bouri, Elie & Ji, Qiang, 2021.
"Infectious disease-related uncertainty and the safe-haven characteristic of US treasury securities,"
International Review of Economics & Finance, Elsevier, vol. 71(C), pages 289-298.
- Rangan Gupta & Sowmya Subramaniam & Elie Bouri & Qiang Ji, 2020. "Infectious Disease-Related Uncertainty and the Safe-Haven Characteristic of US Treasury Securities," Working Papers 202078, University of Pretoria, Department of Economics.
- Omokolade Akinsomi, 2020. "How resilient are REITs to a pandemic? The COVID-19 effect," Journal of Property Investment & Finance, Emerald Group Publishing Limited, vol. 39(1), pages 19-24, July.
- Elie Bouri & Riza Demirer & Rangan Gupta & Christian Pierdzioch, 2020. "Infectious Diseases, Market Uncertainty and Oil Market Volatility," Energies, MDPI, vol. 13(16), pages 1-8, August.
- Gupta, Rangan & Sheng, Xin & Balcilar, Mehmet & Ji, Qiang, 2021.
"Time-varying impact of pandemics on global output growth,"
Finance Research Letters, Elsevier, vol. 41(C).
- Rangan Gupta & Xin Sheng & Mehmet Balcilar & Qiang Ji, 2020. "Time-Varying Impact of Pandemics on Global Output Growth," Working Papers 202062, University of Pretoria, Department of Economics.
- Ole E. Barndorff-Nielsen & Neil Shephard, 2006.
"Econometrics of Testing for Jumps in Financial Economics Using Bipower Variation,"
Journal of Financial Econometrics, Oxford University Press, vol. 4(1), pages 1-30.
- Neil Shephard & Ole Barndorff-Nielsen, 2003. "Econometrics of testing for jumps in financial economics using bipower variation," Economics Series Working Papers 2004-FE-01, University of Oxford, Department of Economics.
- Ole E. Barndorff-Nielsen & Neil Shephard, 2004. "Econometrics of testing for jumps in financial economics using bipower variationÂ," OFRC Working Papers Series 2004fe01, Oxford Financial Research Centre.
- Ole E. Barndorff-Nielsen & Neil Shephard, 2003. "Econometrics of testing for jumps in financial economics using bipower variation," Economics Papers 2003-W21, Economics Group, Nuffield College, University of Oxford.
- Marfatia, Hardik A. & Gupta, Rangan & Cakan, Esin, 2017.
"The international REIT’s time-varying response to the U.S. monetary policy and macroeconomic surprises,"
The North American Journal of Economics and Finance, Elsevier, vol. 42(C), pages 640-653.
- Hardik A. Marfatia & Rangan Gupta & Esin Cakan, 2017. "The International REIT's Time-Varying Response to the U.S. Monetary Policy and Macroeconomic Surprises," Working Papers 201712, University of Pretoria, Department of Economics.
- Zhang, Dayong & Hu, Min & Ji, Qiang, 2020. "Financial markets under the global pandemic of COVID-19," Finance Research Letters, Elsevier, vol. 36(C).
- Scott R. Baker & Nicholas Bloom & Steven J. Davis & Stephen J. Terry, 2020. "COVID-Induced Economic Uncertainty," NBER Working Papers 26983, National Bureau of Economic Research, Inc.
- Amaya, Diego & Christoffersen, Peter & Jacobs, Kris & Vasquez, Aurelio, 2015.
"Does realized skewness predict the cross-section of equity returns?,"
Journal of Financial Economics, Elsevier, vol. 118(1), pages 135-167.
- Diego Amaya & Peter Christoffersen & Kris Jacobs & Aurelio Vasquez, 2013. "Does Realized Skewness Predict the Cross-Section of Equity Returns?," CREATES Research Papers 2013-41, Department of Economics and Business Economics, Aarhus University.
- Jian Zhou & Zhixin Kang, 2011. "A Comparison of Alternative Forecast Models of REIT Volatility," The Journal of Real Estate Finance and Economics, Springer, vol. 42(3), pages 275-294, April.
- Fulvio Corsi, 2009. "A Simple Approximate Long-Memory Model of Realized Volatility," Journal of Financial Econometrics, Oxford University Press, vol. 7(2), pages 174-196, Spring.
- Andersen, Torben G & Bollerslev, Tim, 1998. "Answering the Skeptics: Yes, Standard Volatility Models Do Provide Accurate Forecasts," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 39(4), pages 885-905, November.
- Clark, Todd E. & West, Kenneth D., 2007.
"Approximately normal tests for equal predictive accuracy in nested models,"
Journal of Econometrics, Elsevier, vol. 138(1), pages 291-311, May.
- Todd E. Clark & Kenneth D. West, 2005. "Approximately normal tests for equal predictive accuracy in nested models," Research Working Paper RWP 05-05, Federal Reserve Bank of Kansas City.
- Kenneth D. West & Todd Clark, 2006. "Approximately Normal Tests for Equal Predictive Accuracy in Nested Models," NBER Technical Working Papers 0326, National Bureau of Economic Research, Inc.
- Jian Zhou, 2020. "A comparison of realised measures for daily REIT volatility," Journal of Property Research, Taylor & Francis Journals, vol. 37(1), pages 1-24, January.
- Ahdi N. Ajmi & Vassilios Babalos & Fotini Economou & Rangan Gupta, 2014. "Real Estate Markets and Uncertainty Shocks: A Variance Causality Approach," Working Papers 201436, University of Pretoria, Department of Economics.
- Ole E. Barndorff-Nielsen, 2004.
"Power and Bipower Variation with Stochastic Volatility and Jumps,"
Journal of Financial Econometrics, Oxford University Press, vol. 2(1), pages 1-37.
- Ole E. Barndorff-Nielsen & Neil Shephard, 2003. "Power and bipower variation with stochastic volatility and jumps," Economics Papers 2003-W17, Economics Group, Nuffield College, University of Oxford.
- Jian Zhou, 2011. "Long memory in REIT volatility revisited: genuine or spurious, and self-similar?," Journal of Property Research, Taylor & Francis Journals, vol. 28(3), pages 213-232, January.
- Assaf, Ata, 2015. "Long memory and level shifts in REITs returns and volatility," International Review of Financial Analysis, Elsevier, vol. 42(C), pages 172-182.
- Jian Zhou, 2017. "Forecasting REIT volatility with high-frequency data: a comparison of alternative methods," Applied Economics, Taylor & Francis Journals, vol. 49(26), pages 2590-2605, June.
- Ranjeeta Sadhwani & Suresh Kumar Oad Rajput & Asad Ali-Rind & Muhammad Tahir Suleman, 2019. "DOES CHANGE IN ECONOMIC POLICY UNCERTAINTY AFFECT REAL ESTATE INVESTMENT TRUSTS (REITs)?," Annals of Financial Economics (AFE), World Scientific Publishing Co. Pte. Ltd., vol. 14(04), pages 1-24, December.
- Ivelina Pavlova & Jang Hyung Cho & A.M. Parhizgari & William G. Hardin, 2014. "Long memory in REIT volatility and changes in the unconditional mean: a modified FIGARCH approach," Journal of Property Research, Taylor & Francis Journals, vol. 31(4), pages 315-332, December.
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More about this item
Keywords
Uncertainty; Infectious diseases; REITs; Realized variance; Forecasting;All these keywords.
JEL classification:
- C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
- C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
- G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
NEP fields
This paper has been announced in the following NEP Reports:- NEP-FOR-2020-11-16 (Forecasting)
- NEP-RMG-2020-11-16 (Risk Management)
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