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Forecasting realized volatility of international REITs: The role of realized skewness and realized kurtosis

Citations

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Cited by:

  1. Xu Xiangxin & Kazeem O. Isah & Yusuf Yakub & Damilola Aboluwodi, 2025. "Revisiting the Volatility Dynamics of REITs Amid Uncertainty and Investor Sentiment: A Predictive Approach in GARCH‐MIDAS," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 44(7), pages 2193-2204, November.
  2. Elie Bouri & Rangan Gupta & Asingamaanda Liphadzi & Christian Pierdzioch, 2024. "Forecasting Stock Returns Volatility of the G7 Over Centuries: The Role of Climate Risks," Working Papers 202424, University of Pretoria, Department of Economics.
  3. Li XU & Liviu Marian Matac & Juan Felipe Espinosa Cristia & Rui Dias & Codruta-Daniela Pavel, 2025. "Utilizing the real estate investment trusts for portfolio optimisation by application of genetic algorithm," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 12(1), pages 1-11, December.
  4. Foglia, Matteo & Plakandaras, Vasilios & Gupta, Rangan & Bouri, Elie, 2025. "Rare disasters and multilayer spillovers between volatility and skewness in international stock markets over a century of data: The role of geopolitical risk," International Review of Economics & Finance, Elsevier, vol. 101(C).
  5. Mensi, Walid & Ko, Hee-Un & Sensoy, Ahmet & Kang, Sang Hoon, 2024. "Higher-order moment connectedness between stock and commodity markets and portfolio management," Resources Policy, Elsevier, vol. 89(C).
  6. Zhang, Yaojie & He, Mengxi & Wang, Yudong & Wen, Danyan, 2025. "Model specification for volatility forecasting benchmark," International Review of Financial Analysis, Elsevier, vol. 97(C).
  7. Hugo Gobato Souto, 2026. "Evaluating the Efficacy of NHITS for Forecasting Stock Realized Volatility: A Comparative Analysis with Established Models," Computational Economics, Springer;Society for Computational Economics, vol. 67(2), pages 1291-1348, February.
  8. Xu, Buyun & Wu, Zhimin, 2025. "Real-time GARCH@CARR: A joint model of returns, realized measure of volatility and current intraday information," The North American Journal of Economics and Finance, Elsevier, vol. 76(C).
  9. Cui, Jinxin & Maghyereh, Aktham, 2023. "Time-frequency dependence and connectedness among global oil markets: Fresh evidence from higher-order moment perspective," Journal of Commodity Markets, Elsevier, vol. 30(C).
  10. Salisu, Afees A. & Gupta, Rangan & Bouri, Elie, 2023. "Testing the forecasting power of global economic conditions for the volatility of international REITs using a GARCH-MIDAS approach," The Quarterly Review of Economics and Finance, Elsevier, vol. 88(C), pages 303-314.
  11. Matteo Bonato & Oguzhan Cepni & Rangan Gupta & Christian Pierdzioch, 2025. "Electricity Sales and Forecasting of Stock Market Realized Volatility: A State-Level Analysis of the United States," Working Papers 202540, University of Pretoria, Department of Economics.
  12. Elie Bouri & Rangan Gupta & Asingamaanda Liphadzi & Christian Pierdzioch, 2026. "Forecasting the volatility of stock returns in the G7 countries over centuries: the role of climate risks," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 50(1), pages 1-32, December.
  13. Hendrik Jenett & Cathrine Nagl & Maximilian Nagl & S. McKay Price & Wolfgang Schaefers, 2026. "Dynamics of REIT Returns and Volatility: Analyzing Time-Varying Drivers Through an Explainable Machine Learning Approach," The Journal of Real Estate Finance and Economics, Springer, vol. 72(1), pages 1-40, January.
  14. Bonato, Matteo & Çepni, Oğuzhan & Gupta, Rangan & Pierdzioch, Christian, 2021. "Do oil-price shocks predict the realized variance of U.S. REITs?," Energy Economics, Elsevier, vol. 104(C).
  15. Vasilios Plakandaras & Matteo Bonato & Rangan Gupta & Oguzhan Cepni, 2025. "Machine Learning and the Forecastability of Cross-Sectional Realized Variance: The Role of Realized Moments," Working Papers 202518, University of Pretoria, Department of Economics.
  16. Shixuan Wang & Rangan Gupta & Matteo Bonato & Oğuzhan Çepni, 2025. "The Effects of Conventional and Unconventional Monetary Policy Shocks on US REITs Moments: Evidence from VARs with Functional Shocks," The Journal of Real Estate Finance and Economics, Springer, vol. 71(4), pages 642-702, November.
  17. Somani, Dhanashree & Gupta, Rangan & Karmakar, Sayar & Plakandaras, Vasilios, 2025. "Supply bottlenecks and machine learning forecasting of international stock market volatility," Finance Research Letters, Elsevier, vol. 86(PG).
  18. Li, Xiaodan & Gong, Xue & Ge, Futing & Huang, Jingjing, 2024. "Forecasting stock volatility using pseudo-out-of-sample information," International Review of Economics & Finance, Elsevier, vol. 90(C), pages 123-135.
  19. Waqas Hanif & Hee-Un Ko & Linh Pham & Sang Hoon Kang, 2023. "Dynamic connectedness and network in the high moments of cryptocurrency, stock, and commodity markets," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-40, December.
  20. Cui, Jinxin & Maghyereh, Aktham, 2023. "Higher-order moment risk connectedness and optimal investment strategies between international oil and commodity futures markets: Insights from the COVID-19 pandemic and Russia-Ukraine conflict," International Review of Financial Analysis, Elsevier, vol. 86(C).
  21. Gao, Wang & Jin, Xiaoman & Zhang, Hongwei & He, Miao, 2025. "The asymmetric response of higher-order moments of precious metals to energy shocks and financial stresses: Evidence from time-frequency connectedness approach," Energy Economics, Elsevier, vol. 142(C).
  22. Matteo Foglia & Vasilios Plakandaras & Rangan Gupta & Elie Bouri, 2023. "Multi-Layer Spillovers between Volatility and Skewness in International Stock Markets Over a Century of Data: The Role of Disaster Risks," Working Papers 202337, University of Pretoria, Department of Economics.
  23. Zhang, Hongwei & Zhao, Xinyi & Gao, Wang & Niu, Zibo, 2023. "The role of higher moments in predicting China's oil futures volatility: Evidence from machine learning models," Journal of Commodity Markets, Elsevier, vol. 32(C).
  24. Jiqian Wang & Rangan Gupta & Oğuzhan Çepni & Feng Ma, 2023. "Forecasting international REITs volatility: the role of oil-price uncertainty," The European Journal of Finance, Taylor & Francis Journals, vol. 29(14), pages 1579-1597, September.
  25. Cui, Jinxin & Maghyereh, Aktham & Liao, Dijia, 2024. "Risk connectedness between international oil and stock markets during the COVID-19 pandemic and the Russia-Ukraine conflict: Fresh evidence from the higher-order moments," International Review of Economics & Finance, Elsevier, vol. 95(C).
  26. Giovanni Bonaccolto & Massimiliano Caporin & Oguzhan Cepni & Rangan Gupta, 2026. "Forecasting Realized Volatility of State-Level Stock Markets of the United States: The Role of Sentiment," Working Papers 202603, University of Pretoria, Department of Economics.
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