IDEAS home Printed from https://ideas.repec.org/r/wly/jforec/v41y2022i5p980-996.html

Forecasting stock return volatility: The role of shrinkage approaches in a data‐rich environment

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Ran Wu & Hongjun Zeng & Mohammad Zoynul Abedin & Abdullahi D Ahmed, 2025. "The impact of extreme climate on tourism sector international stock markets: A quantile and time-frequency perspective," Tourism Economics, , vol. 31(8), pages 1598-1628, December.
  2. Qingxiang Han & Mengxi He & Yaojie Zhang & Muhammad Umar, 2023. "Default return spread: A powerful predictor of crude oil price returns," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(7), pages 1786-1804, November.
  3. Dai, Zhifeng & Peng, Yongxin, 2022. "Economic policy uncertainty and stock market sector time-varying spillover effect: Evidence from China," The North American Journal of Economics and Finance, Elsevier, vol. 62(C).
  4. Yaojie Zhang & Qingxiang Han & Mengxi He, 2024. "Forecasting stock market returns with a lottery index: Evidence from China," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 43(5), pages 1595-1606, August.
  5. Kisswani, Khalid M. & Lahiani, Amine & Fikru, Mahelet G., 2025. "Exploring dynamic extreme dependence of oil and agricultural markets," International Review of Economics & Finance, Elsevier, vol. 99(C).
  6. Nguyen, Hoang & Virbickaitė, Audronė, 2023. "Modeling stock-oil co-dependence with Dynamic Stochastic MIDAS Copula models," Energy Economics, Elsevier, vol. 124(C).
  7. Zetty Zahureen Mohd Yusoff & Nur Zahidah Bahrudin & Ani Wilujeng Suryani, 2023. "Monetary Policy, Macroeconomic and Anomalies Interactions Post COVID in Developed and Eastern European Stock Markets," Information Management and Business Review, AMH International, vol. 15(3), pages 470-479.
  8. Dai, Zhifeng & Zhu, Haoyang, 2023. "Dynamic risk spillover among crude oil, economic policy uncertainty and Chinese financial sectors," International Review of Economics & Finance, Elsevier, vol. 83(C), pages 421-450.
  9. Jun Long & Xianghui Yuan & Liwei Jin & Chencheng Zhao, 2024. "Connectedness and risk spillover in China's commodity futures sectors," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 44(5), pages 784-802, May.
  10. Liu, Jing & Chen, Zhonglu, 2023. "How do stock prices respond to the leading economic indicators? Analysis of large and small shocks," Finance Research Letters, Elsevier, vol. 51(C).
  11. Yaojie Zhang & Mengxi He & Yuqi Zhao & Xianfeng Hao, 2023. "Predicting stock realized variance based on an asymmetric robust regression approach," Bulletin of Economic Research, Wiley Blackwell, vol. 75(4), pages 1022-1047, October.
  12. Yuan, Xianghui & Li, Xiang, 2022. "Delta-hedging demand and intraday momentum: Evidence from China," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 600(C).
  13. Zhang, Li & Wang, Lu & Peng, Lijuan & Luo, Keyu, 2023. "Measuring the response of clean energy stock price volatility to extreme shocks," Renewable Energy, Elsevier, vol. 206(C), pages 1289-1300.
  14. Zhifeng Dai & Jie Kang & Hua Yin, 2023. "Forecasting equity risk premium: A new method based on wavelet de‐noising," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(4), pages 4331-4352, October.
  15. Juan D. Díaz & Erwin Hansen & Gabriel Cabrera, 2025. "Forecasting the Volatility of US Oil and Gas Firms With Machine Learning," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 44(4), pages 1383-1402, July.
  16. Feng, Lingbing & Qi, Jiajun & Lucey, Brian, 2024. "Enhancing cryptocurrency market volatility forecasting with daily dynamic tuning strategy," International Review of Financial Analysis, Elsevier, vol. 94(C).
  17. Nasiru Salihu & Poom Kumam & Aliyu Muhammed Awwal & Ibrahim Mohammed Sulaiman & Thidaporn Seangwattana, 2023. "The global convergence of spectral RMIL conjugate gradient method for unconstrained optimization with applications to robotic model and image recovery," PLOS ONE, Public Library of Science, vol. 18(3), pages 1-19, March.
  18. Ma, Yong & Li, Shuaibing & Zhou, Mingtao, 2025. "Twitter-based market uncertainty and global stock volatility predictability," The North American Journal of Economics and Finance, Elsevier, vol. 75(PA).
  19. Dai, Zhifeng & Zhang, Xiaotong & Yin, Zhujia, 2023. "Extreme time-varying spillovers between high carbon emission stocks, green bond and crude oil: Evidence from a quantile-based analysis," Energy Economics, Elsevier, vol. 118(C).
  20. Arash Pourrezaee & Ehsan Hajizadeh, 2025. "Forecasting Bitcoin Volatility and Value-at-Risk Using Stacking Machine Learning Models With Intraday Data," Computational Economics, Springer;Society for Computational Economics, vol. 66(1), pages 485-515, July.
  21. Haifei Wang & Ekaterina Isupova, 2025. "National or Global Uncertainty: Which Has a Greater Impact on Investment Demand?," SAGE Open, , vol. 15(3), pages 21582440251, July.
  22. Bumho Son & Yunyoung Lee & Seongwan Park & Jaewook Lee, 2023. "Forecasting global stock market volatility: The impact of volatility spillover index in spatial‐temporal graph‐based model," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(7), pages 1539-1559, November.
  23. Dai, Zhifeng & Zhang, Xiaotong, 2023. "Climate policy uncertainty and risks taken by the bank: Evidence from China," International Review of Financial Analysis, Elsevier, vol. 87(C).
  24. Lyócsa, Štefan & Todorova, Neda, 2024. "What drives the uranium sector risk? The role of attention, economic and geopolitical uncertainty," Energy Economics, Elsevier, vol. 140(C).
  25. Luo, Qin & Bu, Jinfeng & Xu, Weiju & Huang, Dengshi, 2023. "Stock market volatility prediction: Evidence from a new bagging model," International Review of Economics & Finance, Elsevier, vol. 87(C), pages 445-456.
  26. Wu, Xinyu & Xie, Haibin & Zhang, Huanming, 2022. "Time-varying risk aversion and renminbi exchange rate volatility: Evidence from CARR-MIDAS model," The North American Journal of Economics and Finance, Elsevier, vol. 61(C).
  27. Zeng, Qing & Tang, Yusui & Yang, Hua & Zhang, Xi, 2024. "Stock market volatility and economic policy uncertainty: New insight into a dynamic threshold mixed-frequency model," Finance Research Letters, Elsevier, vol. 59(C).
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.