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Research Article

Cross-sectional volatility index as a proxy for the VIX in an Asian market

Article: 1364011 | Received 02 May 2017, Accepted 28 Jul 2017, Published online: 21 Aug 2017

References

  • Ahoniemi, K. (2006). Modeling and forecasting implied volatility- an econometric analysis of the vix index. Helsinki: HECER - Helsinki Center of Economic Research, University of Helsinki.
  • Ang, A., Hodrick, R. J., Xing, Y., & Zhang, X. (2006). The cross-section of volatility and expected returns. The Journal of Finance, 61, 259–299.
  • Ankrim, E. M., & Ding, Z. (2002). Cross-sectional volatility and return dispersion. Financial Analysts Journal, 58, 67–73.
  • Bagchi, B. (2016). Volatility spillovers between exchange rates and indian stock markets in the post-recession period: an aparch approach. International Journal of Monetary Economics and Finance, 9, 225–244.
  • Bentes, S. R. (2015). A comparative analysis of the predictive power of implied volatility indices and garch forecasted volatility. Physica A: Statistical Mechanics and its Applications, 424, 105–112.
  • Brandt, M. W., & Jones, C. S. (2006). Volatility forecasting with range-based egarch models. Journal of Business & Economic Statistics, 24, 470–486.
  • Campbell, J. Y., Lettau, M., Malkiel, B. G., & Xu, Y. (2001). Have individual stocks become more volatile? An empirical exploration of idiosyncratic risk. The Journal of Finance, 56(1), 1–43.
  • Cutler, D. M., Katz, D. Q., Sheiner, L., & Wooldridge, J. (1989). Stock market volatility, cross-section volatility, and stock returns (Working Paper 1989). Cambridge: Massachusetts Institute of Technology.
  • Engle, R. F., & Patton, A. J. (2001). What good is a volatility model. Quantitative Finance, 1, 237–245.
  • Fukasawa, M., Ishida, I., Maghrebi, N., Oya, K., Ubukata, M., & Yamazaki, K. (2011). Model-free implied volatility: from surface to index. International Journal of Theoretical and Applied Finance, 14, 433–463.
  • Garcia, R., Mantilla-Garcia, D., & Martellini, L. (2011). Idiosyncratic risk and the cross-section of stock returns (Working Paper, 5:57). Nice: EDHEC-Risk Institute.
  • Garcia, R., Mantilla-Garcia, D., & Martellini, L. (2014). A model-free measure of aggregate idiosyncratic volatility and the prediction of market returns. Journal of Financial and Quantitative Analysis, 49, 1133–1165.
  • Goltz, F., Guobenzaite, R., & Martellini, L. (2011). Introducing a new form of volatility index: The cross-sectional volatility index. Nice: EDHEC-Risk Institute.
  • Hohensee, M., & Lee, K. (2006). A survey on hedging markets in Asia: a description of asian derivatives markets from a practical perspective. Asian Bond Markets: Issues and Prospects, BIS Papers, 30, 261–81.
  • Kenmoe, S. R. N., & Tafou, C.D. (2014). The implied volatility analysis: The South African experience. arXiv preprint arXiv:1403.5965.
  • Liu, H. C., Lee, Y. H., & Lee, M. C. (2009). Forecasting china stock markets volatility via garch models under skewed-ged distribution. Journal of Money, 7, 5–15.
  • Merton, R. C. (1987). A simple model of capital market equilibrium with incomplete information. The Journal of Finance, 42, 483–510.
  • Nartea, G. V., Ward, B. D., & Yao, L. J. (2011). Idiosyncratic volatility and cross-sectional stock returns in southeast asian stock markets. Accounting & Finance, 51, 1031–1054.
  • Siriopoulos, C., & Fassas, A. (2012). An investor sentiment barometer greek implied volatility index. Global Finance Journal, 23, 77–93.
  • Su, C. (2010). Application of egarch model to estimate financial volatility of daily returns: The empirical case of China (Master’s thesis). University of Gothenburg, Gothenburg.
  • Whaley, R. E. (2000). The investor fear gauge. The Journal of Portfolio Management, 26, 12–17.
  • Xu, Y., & Malkiel, B. G. (2004). Idiosyncratic risk and security returns. In AFA 2001 New Orleans Meetings.Dallas: The University of Texas.