| Reference: | Akaya O., Senyuzc Z., Yoldas E., 2013. Hedge fund contagion and risk-adjusted returns: a
Markov-switching dynamic factor approach. Journal of Empirical Finance 22, 16–29.
Bakshi, Kapadia, Madan, 2003. Stock return characteristics, skew laws, and the differential pricing of
individual equity options. The Reviews of Financial Studies, Vol. 16, 101 - 143.
Bauwensa L., Dufaysa A., Rombouts J.V.K., 2014. Marginal likelihood for Markov-switching and
change-point GARCH models. Journal of Econometrics 178, 508–522.
Bekaerta G., Hoerova M., 2014. The VIX, the variance premium and stock market volatility. Journal of
Econometrics 183, 181–192.
Byun S.J., Kim J.S., 2013. The information content of risk-neutral skewness for volatility forecasting.
Journal of Empirical Finance 23, 142–161.
Chalamandaris G., Rompolis L.S., 2012. Exploring the role of the realized return distribution in the
formation of the implied volatility smile. Journal of Banking & Finance 36, 1028–1044.
Chang B.Y, Christoffersen P., Jacobs K., 2013. Market skewness risk and the cross section of stock
returns. Journal of Financial Economics 107, 46–68.
Chuanga W.I., Huangb T.C., Lin B.H., 2013. Predicting volatility using the Markov- switching
multifractal model: Evidence from S&P 100 index and equity options. North American Journal of
Economics and Finance 25, 168– 187.
Chung S.L., TsaiW.C., Wang Y.H., Weng P.S., 2011.The information content of the S&P 500 index and
VIX options on the dynamics of the S&P 500 index. Journal of Futures Markets, Vol. 31, No. 12,
1170–1201.
Conrad J., Dittmar R.F., Ghysels E., 2013. Ex Ante Skewness and Expected Stock Returns. Journal of
Finance Vol. 68, No. 1.
Cordisa S.A., Kirby C., 2014. Discrete stochastic autoregressive volatility. Journal of Banking &
Finance 43, 160–178.
Corsi, F, 2009.A simple approximate long-memory model of realized volatility, Journal of Financial
Econometrics,Vol.7, Issue 2, 174-196
Dueker M., Neely C.J., 2007. Can Markov switching models predict excess foreign exchange returns?
Journal of Banking & Finance 31, 279–296.
Fernandesa M.,. Medeirosc M.C., Scharth M., 2014. Modeling and predicting the CBOE market
volatility index. Journal of Banking & Finance 40, 1–10.
Gatheral, 2008. Consistent Modeling of SPX and VIX options.
Gray S.F, 1996. Modeling the conditional distribution of interest rates as a regime-switching process.
Journal of Financial Economics 42, 27 - 62.
Hamilton J.D., 1989. A new approach to the economic analysis of nonstationary time series and the
business cycle. Econometrica Vol. 57, No. 2, 357 - 384.
Hamilton J.D., 1990.Analysis of time series subject to changes in regime. Journal of Econometrics 45,
39-70.
Kanniainena J., Lina B., Yang H., 2014. Estimating and using GARCH models with VIX data for option
valuation. Journal of Banking & Finance 43, 200–211.
Khalifaa A.A.A, Hammoudehb S., Otranto E., 2014. Patterns of volatility transmissions within regime
switching across GCC and global markets. International Review of Economics and Finance 29,
512–524.
Kim C.J, 1994. Dynamic linear models with Markov-switching. Journal of Econometrics 60, l-22.
Lin Y.N., 2013. VIX option pricing and CBOE VIX Term Structure: A new methodology for volatility
derivatives valuation. Journal of Banking & Finance 37, 4432–4446.
Liua X., Margaritisb D., Wang P., 2012. Stock market volatility and equity returns: Evidence from a
two-state Markov-switching model with regressors. Journal of Empirical Finance 19, 483–496.
Miaoa W.C., Wub C.C., Su Y.K., 2013. Regime-switching in volatility and correlation structure using
range-based models with Markov-switching. Economic Modelling 31, 87–93.
Neumanna M., Skiadopoulos G., 2013.Predictable dynamics in higher order risk-neutral
moments:evidence from the S&P 500 options. Journal of Financial and Quantitative Analysis, Vol.
48, Issue 03, 947 - 977.
Onan M., Salih A., Burze Yasar, 2014. Impact of macroeconomic announcements on implied volatility
slope of SPX options and VIX. Finance Research Letters 11, 454–462.
Pan Q., Li Y., 2013. Testing volatility persistence on Markov switching stochastic volatility models.
Economic Modelling 35, 45–50.
Patrick S., Stewart M., 2002. Risk-neutral skewness: evidence from stock options. Journal of Financial
& Quantitative Analysis, Vol. 37, 471.
Raggia D., Bordignon S., 2012. Long memory and nonlinearities in realized volatility: A Markov
switching approach. Computational Statistics and Data Analysis 56, 3730–3742.
Raggia, Bordignon, 2012. Long memory and nonlinearities in realized volatility: A Markov switching
approach. Computational Statistics & Data Analysis,Vol. 56, Issue 11, Pages 3730–3742
Rossia A., Giampiero, 2006. Volatility estimation via hidden Markov models. Journal of Empirical
Finance 13, 203– 230.
Zhou Y., 2014. Modeling the joint dynamics of risk-neutral stock index and bond yield volatilities.
Journal of Banking & Finance 38, 216–228 |
