Ajmi, A.N., Babalos, V., Economou, F., and Gupta, R. (2014). Real estate markets and uncertainty shocks: A variance causality approach. Frontiers in Finance and Economics, 12(2), 56–85.
Akinsomi, O. (2020). How resilient are REITs to a pandemic? The COVID-19 effect. Journal of Property Investment & Finance, 39(1), 19-24.
Akinsomi, O., Aye, G.C., Babalos, V., Economou, F., and Gupta, R. (2016). Real estate returns predictability revisited: novel evidence from the US REITs market. Empirical Economics, 51(3), 1165-1190.
Asgharian, H., Hou , A.J., and Javed , F . (2013). The Importance of the Macroeconomic Variables in Forecasting Stock Return Variance: A GARCH MIDAS Approach. Journal of Forecasting, 32, 600-612.
Baumeister, C., Korobilis, D., and Lee, T.K. (2020). Energy markets and global economic conditions. Review of Economics and Statistics. DOI: https://doi.org/10.1162/rest_a_00977.
Bernanke, B. S. (1983). Nonmonetary effects of the financial crises in the propagation of the Great Depression. American Economic Review, 73, 257–276.
Bonato, M., Çepni, O., Gupta, R., and Pierdzioch, C. (2021a). Do Oil-Price Shocks Predict the Realized Variance of U.S. REITs? Energy Economics, 104, 105689.
- Bonato, M., Çepni, O., Gupta, R., and Pierdzioch, C. (2021b). Uncertainty due to infectious diseases and forecastability of the realized variance of United States real estate investment trusts: A note. International Review of Finance. DOI: https://doi.org/10.1111/irfi.12357.
Paper not yet in RePEc: Add citation now
Bonato, M., Çepni, O., Gupta, R., and Pierdzioch, C. (2022). Forecasting Realized Volatility of International REITs: The Role of Realized Skewness and Realized Kurtosis. Journal of Forecasting, 41(2), 303-315.
Bredin, D., O'Reilly, G., and Stevenson, S. (2007). Monetary shocks and REIT returns. Journal of Real Estate Finance and Economics, 35, 315-331.
Colacito, R., Engle, R.F. and Ghysels, E. (2011). A component model for dynamic correlations. Journal of Econometrics, 164 (1), 45-59.
Conrad, C., and Loch, K. (2015). Anticipating Long term Stock Market Volatility. Journal of Applied Econometrics, 30, 1090-1114.
Conrad, C., Loch, K., and Rittler, D. (2014). On the macroeconomic determinants of long-term volatilities and correlations in U.S. stock and crude oil markets. Journal of Empirical Finance, 29, 26-40.
Cotter, J., and Stevenson, S. (2008). Modeling long memory in REITs. Real Estate Economics, 36(3), 533-554.
Das, S., Demirer, R., Gupta, R., and Mangisa, S. (2019). The effect of global crises on stock market correlations: Evidence from scalar regressions via functional data analysis. Structural Change and Economic Dynamics, 50, 132–147.
Devaney, M. (2001). Time-varying risk premia for real estate investment trusts: a GARCH-M model. Quarterly Review of Economics and Finance, 41, 335-346.
Diebold, F.X., Mariano, R.S. (1995). Comparing predictive accuracy. Journal of Business and Economic Statistics, 13(3), 253-263.
Engle, R., and Lee, G. (1999), A permanent and transitory component model of stock return volatility. In ed. R.F. and H. White, Cointegration, Causality, and Forecasting: A Festschrift in Honor of Clive W.J. Granger, Oxford University press, 475-497.
Engle, R.F. and Rangel, J.G. (2008). The spline-garch model for low-frequency volatility and its global macroeconomic causes. Review of Financial Studies 21, 1187-1222.
Engle, R.F., Ghysels, E., and Sohn, B. (2013). Stock market volatility and macroeconomic fundamentals. Review of Economics & Statistics, 95, 776-797.
- Ghysels, E., and Valkanov, R. (2012). Forecasting Volatility with MIDAS. In L. Bauwens, C. Hafner, and S. Laurent (Eds.) Handbook of Volatility Models and Their Applications, Hoboken, New Jersey, United States: John Wiley & Sons, Inc, 383-401.
Paper not yet in RePEc: Add citation now
Ghysels, E., Plazzi, A., Valkanov, R., Rubia, A., and Dossani, A. (2019). Direct Versus IteratedMulti-period Volatility Forecasts. Annual Review of Financial Economics, 11, 173-195.
- Giglio, S., Kelly, B.T., and Stroebel, J. (2021). Climate Finance. Annual Review of Financial Economics, 13, 15-36.
Paper not yet in RePEc: Add citation now
Harvey, D., Leybourne, S., and Newbold, P. (1997). Testing the equality of prediction mean squared errors. International Journal of forecasting, 13(2), 281-291.
- Lee, Y-H., and Pai, T-Y. (2010). REIT volatility prediction for skew-GED distribution of the GARCH model. Expert Systems with Applications, 37, 4737-4741.
Paper not yet in RePEc: Add citation now
Leiva-Leon, D., Perez-Quiros, G., and Rots, E. (2020). Real-time weakness of the global economy: a first assessment of the coronavirus crisis. European Central Bank (ECB) Working Paper 2381.
Liu, J., Ma, F., Tang, Y. and Zhang, Y. (2019). Geopolitical risk and oil volatility: A new insight. Energy Economics, 84, 104548.
Marfatia, H. A., Gupta, R., and Cakan, E. (2017). The international REIT’s time-varying response to the US monetary policy and macroeconomic surprises. The North American Journal of Economics and Finance, 42, 640-653.
Marfatia, H.A., Gupta, R., and Lesame, K. (2021). Dynamic Impact of Unconventional Monetary Policy on International REITs. Journal of Risk and Financial Management 14(9), 429.
Nyakabawo, W. Gupta, R., and Marfatia, H.A. (2018). High Frequency Impact of Monetary Policy And Macroeconomic Surprises on US MSAs, Aggregate US Housing Returns And Asymmetric Volatility. Advances in Decision Sciences, 22(1), 204-229.
- Odusami, B.O. (2021a). Volatility jumps and their determinants in REIT returns. Journal of Economics and Business, 113, 105943.
Paper not yet in RePEc: Add citation now
Odusami, B.O. (2021b). Forecasting the Value-at-Risk of REITs using realized volatility jump models. The North American Journal of Economics and Finance, 58, 101426.
Pavlova, I., Cho, J. H., Parhizgari, A. M., and Hardin III, W. G. (2014). Long memory in REIT volatility and changes in the unconditional mean: a modified FIGARCH approach. Journal of Property Research, 31(4), 315-332.
Rangel, J.G., and Engle, R.F. (2012). The Factor–Spline–GARCH Model for High and Low Frequency Correlations. Journal of Business & Economic Statistics, 30(1), 109-124.
Sadhwani, R., Rajput, S.K.O., Ali-Rind, A., and Suleman, M.T. (2019). Does change in economic Policy uncertainty affect real estate investment trusts (REITs)? Annals of Financial Economics, 14(3), 1950016.
Salisu, A. A., Cuñado, J. and Gupta, R. (2022b). Geopolitical risks and historical exchange rate volatility of the BRICS. International Review of Economics & Finance, 77, 179-190.
Salisu, A.A., and Gupta, R. (2021). Oil shocks and stock market volatility of the BRICS: A GARCH-MIDAS approach. Global Finance Journal, 48, 100546.
Salisu, A.A., Gupta, Bouri, E. and Ji, Q. (2020). The role of global economic conditions in forecasting gold market volatility: Evidence from a GARCH-MIDAS approach. Research in International Business and Finance, 54, 101308.
Salisu, A.A., Gupta, R. and Pierdzioch, C. (2022c). Predictability of tail risks of Canada and the U.S. Over a Century: The role of spillovers and oil tail Risks. The North American Journal of Economics and Finance, 59, 101620.
Salisu, A.A., Gupta, R., Bouri, E., and Ji, Q. (2022a). Mixed-frequency forecasting of crude oil volatility based on the information content of global economic conditions. Journal of Forecasting, 41(1), 134-157.
- Schwert, G. W. (1989). Why does stock market volatility change over time. Journal of Finance, 44, 1115-1153.
Paper not yet in RePEc: Add citation now
Shiller, R. J. (1981a). Do stock prices move too much to be justified by subsequent changes in dividends. American Economic Review, 75, 421-436. Shiller, R. J. (l981b). The use of volatility measures in assessing market efficiency. Journal of Finance, 36, 291-304.
- Stevenson, S. (2002). An examination of volatility spillovers in REIT returns. Journal of Real Estate Portfolio Management, 8, 229-238.
Paper not yet in RePEc: Add citation now
Tiwari, A.K., André, C., and Gupta, R. (2020). Spillovers between US real estate and financial assets in time and frequency domains. Journal of Property Investment & Finance, 38(6), 525537.
Zhang, Y., Ma, F., Shi, B., and Huang, D. (2018). Forecasting the prices of crude oil: An iterated combination approach. Energy Economics, 70, 472-483.
Zhou, J. (2017). Forecasting REIT volatility with high-frequency data: a comparison of alternative methods. Applied Economics, 49(26), 2590-2605.
Zhou, J., and Kang, Z. (2011). A comparison of alternative forecast models of REIT volatility. The Journal of Real Estate Finance and Economics, 42(3), 275-294.