1. Conventional and Unconventional Monetary Policy Rate Uncertainty and Stock Market Volatility: A Forecasting Perspective. (2021). GUPTA, RANGAN ; Bouri, Elie ; Liu, Rui Peng.
   In: Working Papers.
   RePEc:pre:wpaper:202178.

   Full description at Econpapers || Download paper

2. Firm-level Business Uncertainty and the Predictability of the Aggregate U.S. Stock Market Volatility during the COVID-19 Pandemic. (2021). Salisu, Afees ; GUPTA, RANGAN ; van Eyden, Renee ; Demirer, Riza.
   In: Working Papers.
   RePEc:pre:wpaper:202157.

   Full description at Econpapers || Download paper

3. Investor Confidence and Forecastability of US Stock Market Realized Volatility : Evidence from Machine Learning. (2021). Pierdzioch, Christian ; GUPTA, RANGAN ; Nel, Jacobus.
   In: Working Papers.
   RePEc:pre:wpaper:202118.

   Full description at Econpapers || Download paper

4. Financial Vulnerability and Volatility in Emerging Stock Markets: Evidence from GARCH-MIDAS Models. (2021). You, Yu ; GUPTA, RANGAN ; Demirer, Riza ; Li, HE.
   In: Working Papers.
   RePEc:pre:wpaper:202112.

   Full description at Econpapers || Download paper

5. Forecasting Realized Stock-Market Volatility: Do Industry Returns have Predictive Value?. (2020). Pierdzioch, Christian ; GUPTA, RANGAN ; Demirer, Riza.
   In: Working Papers.
   RePEc:pre:wpaper:2020107.

   Full description at Econpapers || Download paper

1. Alam, M. S., Shahzad, S. J. H., & Ferrer, R. (2019). Causal flows between oil and forex markets using high-frequency data: Asymmetries from good and bad volatility. Energy Economics, 104513. doi:10.1016/j.eneco.2019.104513.

2. Andersen, T. G., Bollerslev, T., Diebold, F. X., & Labys, P. (2001). The Distribution of Realized Exchange Rate Volatility. Journal of the American Statistical Association, 96(453), 42–55.

3. Apergis, N., Baruník, J., & Lau, M. C. K. (2017). Good volatility, bad volatility: What drives the asymmetric connectedness of Australian electricity markets? Energy Economics, 66, 108–115.

4. Baruník, J., Kočenda, E., & Vácha, L. (2016). Asymmetric connectedness on the U.S. stock market: Bad and good volatility spillovers. Journal of Financial Markets, 27, 55–78.

5. Bauer, G. H., & Vorkink, K. (2011). Forecasting multivariate realized stock market volatility. Journal of Econometrics, 160(1), 93–101.

6. BenSaïda, A. (2018). Good and bad volatility spillovers: An asymmetric connectedness. Journal of Financial Markets, 43, 78-95.
   Paper not yet in RePEc: Add citation now
   

7. Campbell, J.Y. & Thompson, S.B. (2008). Predicting excess stock returns out of sample: Can anything beat the historical average? Review of Financial Studies 21, 1509–1531.

8. Chen, Y., Ma, F., & Zhang, Y. (2019). Good, bad cojumps and volatility forecasting: New evidence from crude oil and the U.S. stock markets. Energy Economics, 81, 52-62.

9. Cho, S., & Shin, D. W. (2016). An integrated heteroscedastic autoregressive model for forecasting realized volatilities. Journal of the Korean Statistical Society, 45(3), 371–380.
   Paper not yet in RePEc: Add citation now
   

10. Clark, T.E. & West, K.D. (2007). Approximately normal tests for equal predictiveaccuracy in nested models. Journal of Econometrics 138, 291–311.

11. Corsi, F. (2009). A simple approximate long-memory model for realized volatility. Journal of Financial Econometrics, 7, 174-196.

12. Corsi, F., Audrino, F. and Reno, R. (2012). HAR modeling for realized volatility forecasting. In Handbook of Volatility Models and Their Applications, ed. By Bauwens, L., Hafner, C. M. and Laurent S., Chap. 15, pp.363-382. New Jersey, USA: John Wiley & Sons, Inc.
    Paper not yet in RePEc: Add citation now
    

13. Degiannakis, S. (2017). The one-trading-day-ahead forecast errors of intra-day realized volatility.

14. Degiannakis, S. (2018). Multiple days ahead realized volatility forecasting: Single, combined and average forecasts. Global Finance Journal, 36, 41–61.

15. Degiannakis, S., & Filis, G. (2017). Forecasting oil price realized volatility using information channels from other asset classes. Journal of International Money and Finance, 76, 28–49.

16. Gkillas, K., Gupta, R., & Pierdzioch, C. (2019a). Forecasting realized gold volatility: Is there a role of geopolitical risks? Finance Research Letters, in press, doi.org/10.1016/j.frl.2019.08.028 Gkillas, K., Gupta, R., & Pierdzioch, C. (2019b). Forecasting (downside and upside) realized exchange-rate volatility: Is there a role for realized skewness and kurtosis? Physica A: Statistical Mechanics and Its Applications, 532, 121867.

17. Gong, X., & Lin, B. (2017). Forecasting the good and bad uncertainties of crude oil prices using a HAR framework. Energy Economics, 67, 315–327.

18. Gong, X., & Lin, B. (2019). Modeling stock market volatility using new HAR-type models. Physica A: Statistical Mechanics and Its Applications, 516, 194-211.

19. Gupta, R., Pierdzioch, C., Selmi, R., & Wohar, M. E. (2018). Does partisan conflict predict a reduction in US stock market (realized) volatility? Evidence from a quantile-on-quantile regression model. The North American Journal of Economics and Finance, 43, 87–96.

20. He, F., Wang, Z. & Yin, L. (2019). Asymmetric volatility spillovers between international economic policy uncertainty and the U.S. stock market. The North American Journal of Economics and Finance, In Press, doi.org/10.1016/j.najef.2019.101084.

21. Ma, F., Wahab, M. I. M., Huang, D., & Xu, W. (2017). Forecasting the realized volatility of the oil futures market: A regime switching approach. Energy Economics, 67, 136–145.

22. Ma, F., Zhang, Y., Huang, D., & Lai, X. (2018). Forecasting oil futures price volatility: New evidence from realized range-based volatility. Energy Economics, 75, 400-409.

23. Mei, D., Liu, J., Ma, F., & Chen, W. (2017). Forecasting stock market volatility: Do realized skewness and kurtosis help? Physica A: Statistical Mechanics and Its Applications, 481, 153–159.

24. Motegi, K., Cai, X., Hamori, S. and Xu, H. (2019). Moving Average Threshold Heterogeneous Autoregressive (MAT-HAR) Models. Available at http://dx.doi.org/10.2139/ssrn.3426182 Newey, W. K., & West, K. D. (1987): A Simple, Positive Semi-Definite, Heteroskedasticity and Autocorrelation Consistent Covariance Matrix. Econometrica, 55, 703-708.
    Paper not yet in RePEc: Add citation now
    

25. Newey, W. K., & West, K. D. (1994): Automatic Lag Selection in Covariance Matrix Estimation. Review of Economic Studies, 61, 631-653.

26. Oloko, T.F. (2018). Portfolio diversification between developed and developing stock markets: The case study of US and UK investors in Nigeria. Research in International Business and Finance, 45, 219-232.

27. Peng, H., Chen, R., Mei, D., & Diao, X. (2018). Forecasting the realized volatility of the Chinese stock market: Do the G7 stock markets help? Physica A: Statistical Mechanics and Its Applications, 501, 78–85.

28. Ping, Y., & Li, R. (2018). Forecasting realized volatility based on the truncated two-scales realized volatility estimator (TTSRV): Evidence from China’s stock market. Finance Research Letters, 25, 222–229.

29. Poon, S-H, & Granger, C. W. J. (2003). Forecasting Volatility in Financial Markets: A Review. Journal of Economic Literature, 41(2), 478-539.

30. Qu, H., Duan, Q., & Niu, M. (2018). Modeling the volatility of realized volatility to improve volatility forecasts in electricity markets. Energy Economics, 74, 767–776.

31. Salisu A. A., Adediran, I., A., Oloko, T. and Ohemeng, W. (2019). The heterogeneous behaviour of the inflation hedging property of cocoa. North American Journal of Economic and Finance, in Press, https://doi.org/10.1016/j.najef.2019.101093 Sharma, P., & Vipul. (2016). Forecasting stock market volatility using Realized GARCH model: International evidence. The Quarterly Review of Economics and Finance, 59, 222–230.

32. Salisu, A. A. & Isah, K. O. (2017). Revisiting the oil price and stock market nexus: A nonlinear Panel ARDL approach. Economic Modelling, 66, 258–271.

33. Salisu, A. A. & Ogbonna, A. E. (2018). Does time-variation matter in the stochastic volatility components for G7 stock returns. Working Papers 062, Centre for Econometric and Allied Research, University of Ibadan Salisu, A. A. & Ogbonna, A. E. (2019). Another look at the energy-growth nexus: New insights from MIDAS regressions. Energy, 174, 69-84.

34. Salisu, A. A. & Oloko, T.F. (2015). Modeling oil price-US stock nexus: A VARMA-BEKKAGARCH approach. Energy Economics, 50, 1-12.

35. Salisu, A. A., Swaray, R. and Oloko, T. F. (2019). Improving the predictability of the oil–US stock nexus: The role of macroeconomic variables. Economic Modelling, 76, 153-171.

36. Solnik, B.K. (1974). Why not diversify international rather than domestically? Financial Analysis Journal, 89–94.
    Paper not yet in RePEc: Add citation now
    

37. Tian, F., Yang, K., & Chen, L. (2017). Realized volatility forecasting of agricultural commodity futures using the HAR model with time-varying sparsity. International Journal of Forecasting, 33(1), 132–152.

38. Tong, H. (1978). On a threshold model. In Pattern Recognition and Signal Processing, ed. By Chen, C. H. Sijthoff and Noordhoff, Amsterdam.
    Paper not yet in RePEc: Add citation now
    

39. Wu, X., & Hou, X. (2019). Forecasting realized variance using asymmetric HAR model with timevarying coefficients. Finance Research Letters, 30, 89-95.

40. Wu, X., & Wang, X. (2019). Forecasting volatility using realized stochastic volatility model with time-varying leverage effect. Finance Research Letter, In Press, doi.org/10.1016/j.frl.2019.08.019 Yao, X., Izzeldin, M., & Li, Z. (2019). A novel cluster HAR-type model for forecasting realized volatility. International Journal of Forecasting, 35(4), 1318–1331.

41. Zhou, W., Pan, J., & Wu, X. (2019). Forecasting the realized volatility of CSI 300. Physica A: Statistical Mechanics and Its Applications, 531, 121799.

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   In: International Economics and Economic Policy.
   RePEc:kap:iecepo:v:22:y:2025:i:1:d:10.1007_s10368-024-00630-y.

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   In: Palgrave Communications.
   RePEc:pal:palcom:v:11:y:2024:i:1:d:10.1057_s41599-024-03183-2.

   Full description at Econpapers || Download paper

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   In: International Review of Financial Analysis.
   RePEc:eee:finana:v:95:y:2024:i:pa:s1057521924002862.

   Full description at Econpapers || Download paper

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   In: International Review of Financial Analysis.
   RePEc:eee:finana:v:93:y:2024:i:c:s1057521924000462.

   Full description at Econpapers || Download paper

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   In: International Journal of Finance & Economics.
   RePEc:wly:ijfiec:v:28:y:2023:i:2:p:1994-2005.

   Full description at Econpapers || Download paper

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   In: Research in International Business and Finance.
   RePEc:eee:riibaf:v:64:y:2023:i:c:s0275531922002100.

   Full description at Econpapers || Download paper

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   In: Resources Policy.
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   RePEc:eee:jocoma:v:30:y:2023:i:c:s2405851322000423.

   Full description at Econpapers || Download paper

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   RePEc:eee:jocoma:v:30:y:2023:i:c:s2405851322000290.

   Full description at Econpapers || Download paper

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    In: Energy Economics.
    RePEc:eee:eneeco:v:127:y:2023:i:pa:s0140988323005273.

    Full description at Econpapers || Download paper

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    In: Energy Economics.
    RePEc:eee:eneeco:v:120:y:2023:i:c:s0140988323001251.

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    In: International Journal of Energy Economics and Policy.
    RePEc:eco:journ2:2023-03-63.

    Full description at Econpapers || Download paper

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    In: International Journal of Finance & Economics.
    RePEc:wly:ijfiec:v:27:y:2022:i:1:p:384-400.

    Full description at Econpapers || Download paper

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    In: Economic Change and Restructuring.
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    Full description at Econpapers || Download paper

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    In: International Review of Economics & Finance.
    RePEc:eee:reveco:v:78:y:2022:i:c:p:81-94.

    Full description at Econpapers || Download paper

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    In: Resources Policy.
    RePEc:eee:jrpoli:v:79:y:2022:i:c:s0301420722004913.

    Full description at Econpapers || Download paper

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    In: Resources Policy.
    RePEc:eee:jrpoli:v:78:y:2022:i:c:s0301420722003361.

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    Full description at Econpapers || Download paper

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    In: International Review of Economics & Finance.
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    In: Energy Economics.
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    In: Economic Analysis and Policy.
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    Full description at Econpapers || Download paper

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    In: Energies.
    RePEc:gam:jeners:v:13:y:2020:i:17:p:4354-:d:402987.

    Full description at Econpapers || Download paper

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    Full description at Econpapers || Download paper

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    In: Working Papers.
    RePEc:pre:wpaper:201978.

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