[go: up one dir, main page]
More Web Proxy on the site http://driver.im/ Skip to main content
Log in

Short-term volatility timing: a cross-country study

  • Original Research
  • Published:
Annals of Operations Research Aims and scope Submit manuscript

Abstract

In this paper, we examine how mutual fund managers behave to fluctuations in market volatility. We use a sample of daily return from countries around the world to evaluate how manager perform to publicly available information. There is a lack of empirical studies that examine the relation between conditional market returns and conditional volatility on a global scale; we provide evidence across countries to answer this question. Our study provides new evidence about conditional mutual fund performance across countries. We find that during periods of high market volatility mutual funds reduce market exposure across all countries; this implies that systemic risk is particularly sensitive to changes in market volatility around the world.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Subscribe and save

Springer+ Basic
£29.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price includes VAT (United Kingdom)

Instant access to the full article PDF.

Similar content being viewed by others

Notes

  1. The U.S. factors are drawn from French’s website: http://mba.tuck.dartmouth.edu/pages/faculty/ken.french/.

  2. IVolatility.com's database represents the most complete and accurate source of historical implied volatility and correlation data ever developed.

References

  • Barroso, P., Detzel, A., & Maio, P. (2021). Managing the risk of the beta anomaly. SSRN working paper.

  • Bollen, N., & Busse, J. (2001). On the timing ability of mutual fund managers. Journal of Finance, 3, 1075–1094.

    Article  Google Scholar 

  • Busse, J. (1999). Volatility timing in mutual funds: Evidence from daily returns. Review of Financial Studies, 12, 1009–1041.

    Article  Google Scholar 

  • Carhart, M. (1997). On persistence in mutual fund performance. Journal of Finance, 52, 57–82.

    Article  Google Scholar 

  • Cederburg, S., O’Doherty, M. S., Wang, F., & Yan, X. S. (2020). On the performance of volatility-managed portfolios. Journal of Financial Economics, 138, 95–117.

    Article  Google Scholar 

  • Daniel, K., Grinblatt, M., Titman, S., & Wermers, R. (1997). Measuring mutual fund performance with characteristic-based benchmarks. Journal of Finance, 52, 1035–1058.

    Google Scholar 

  • Dimson, E. (1979). Risk measurement when shares are subject to infrequent trading. Journal of Financial Economics, 7, 197–226.

    Article  Google Scholar 

  • Elton, E. J., Gruber, M. J., & Blake, C. R. (1996a). Survivorship bias and mutual fund performance. Review of Financial Studies, 9, 1097–1120.

    Article  Google Scholar 

  • Elton, E. J., Gruber, M. J., Das, S., & Blake, C. R. (1996b). The persistence of risk-adjusted mutual fund performance. Journal of Business, 69, 133–157.

    Article  Google Scholar 

  • Elton, E. J., Gruber, M. J., Das, S., & Hlavka, C. (1993). Efficiency with costly information: A reinterpretation of evidence from managed portfolios. Review of Financial Studies, 6, 1–22.

    Article  Google Scholar 

  • Fama, E., & French, K. (1993). Common risk factors in the returns on stocks and bonds. Journal of Financial Economics, 33, 3–56.

    Article  Google Scholar 

  • Ferson, W. E., & Mo, H. (2016). Performance measurement with selectivity, market and volatility timing. Journal of Financial Economics, 121, 93–110.

    Article  Google Scholar 

  • Ferson, W. E., & Warther, V. A. (1996). Evaluating fund performance in a dynamic market. Financial Analysts Journal, 52, 20–28.

    Article  Google Scholar 

  • Fleming, J., Kirby, C., & Ostdiek, B. (2001). The economic value of volatility timing. Journal of Finance, 56, 329–352.

    Article  Google Scholar 

  • Moreira, A., & Muir, T. (2017). Volatility-managed portfolios. Journal of Finance, 72, 1611–1644.

    Article  Google Scholar 

  • Nelson, D. B. (1991). Conditional heteroskedasticity in asset returns: A new approach. Econometrica, 59, 347–370.

    Article  Google Scholar 

  • Novy-Marx, R., & Velikov, M. (2022). Betting against betting against beta. Journal of Financial Economics, 143, 80–106.

    Article  Google Scholar 

  • Parkinson, M. (1980). The extreme value method for estimating the variance of the rate of return. Journal of Business, 53, 61–66.

    Article  Google Scholar 

  • Scruggs, J. T. (1998). Resolving the puzzling intertemporal relation between the market risk premium and conditional market variance: A two-factor approach. Journal of Finance, 53, 575–603.

    Article  Google Scholar 

  • Vidal, M., Vidal-García, J., & Boubaker, S. (2015). Market timing around the world. Journal of Alternative Investments, 18, 61–89.

    Article  Google Scholar 

  • Vidal-García, J., & Vidal, M. (2021a). Short-term performance and mutual fund size. SSRN working paper.

  • Vidal-García, J., & Vidal, M. (2021b). Sharpe ratio: International evidence. SSRN working paper.

  • Vidal-García, J., Vidal, M., Boubaker, S., & Uddin, G. S. (2016). The short-term persistence of international mutual fund performance. Economic Modelling, 52(Part B), 926–938.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Javier Vidal-García.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Appendix

Appendix

See Tables 1, 2 , 3 , 4, 5, 6, 7, 8, 9, 10.

Table 2 Performance of mutual fund sample and random control sample
Table 3 Results of Daily Volatility Timing
Table 4 Results of monthly volatility timing
Table 5 Conditional monthly volatility timing models
Table 6 Relation between volatility timing and performance
Table 7 Conditional alphas
Table 8 Performance of homogenous samples and random control sample
Table 9 Results of daily volatility timing for homogenous samples
Table 10 Results of monthly volatility timing for homogenous samples

Rights and permissions

Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Vidal, M., Vidal-García, J., Boubaker, S. et al. Short-term volatility timing: a cross-country study. Ann Oper Res 336, 1681–1706 (2024). https://doi.org/10.1007/s10479-022-04998-5

Download citation

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10479-022-04998-5

Keywords

JEL Classification

Navigation