Exploring Forecast Error and the Informational Content of Implied Volatility in the Taiwan Market

다국어 초록 (Multilingual Abstract)

This paper employs the autoregressive conditional jump intensity model, incorporating a forecast error, to investigate the relationships between the changes in the implied volatility and the relevant determinants in the Taiwan market. We further apply the orthogonality test to explore forecast error and content of information. The empirical results show that the changes in the implied volatility are affected by the contemporaneous returns, lagged returns,lagged changes in the implied volatility, contemporaneous daily changes in the realized volatility and lagged forecast error. At the same time, these results are consistent with the behavioral explanations of Hibbert et al. [Journal of Banking and Finance (2008) vol. 32, pp. 2254–2266]. We also demonstrate that the implied volatility in Taiwan seems to be an efficient forecast of future realized volatility during the whole of the sample period, except for the financial crisis period.

참고문헌 (Reference)

1 Bollerslev, T., "Volatility puzzles: A simple framework for gauging returnvolatility regressions" 131 : 123-150, 2006

2 Donaldson, R. G., "Volatility forecasts, trading volume, and the ARCH versus option-implied volatility trade-off" 28 : 519-538, 2005

3 Sepp, A., "VIX option pricing in a jump-diffusion model" 21 : 84-89, 2008

4 Ghysels, E., "There is a risk-return tradeoff after all" 76 : 509-548, 2005

5 Lundblad, C. T., "The risk return tradeoff in the long-run: 1836–2003" 85 : 123-150, 2007

6 Christensen, B. J., "The relation between implied and realized volatility" 50 : 125-150, 1998

7 Fleming, J., "The quality of market volatility forecasts implied by S&P100 index option prices" 5 : 317-345, 1998

8 Pan, J., "The jump-risk premia implicit in options: Evidence from an integrated timeseries study" 63 : 3-50, 2002

9 Becker, R., "The jump component of S&P 500 volatility and the VIX index" 33 : 1033-1038, 2009

10 Ederington, L., "The information frown in option prices" 29 : 1429-1457, 2005

11 Eraker, B., "The impact of jumps in volatility and returns" 58 : 1269-1300, 2003

12 Corrado, C. J., "The forecast quality of CBOE implied volatility indexes" 25 : 339-373, 2005

13 Low, C., "The fear and exuberance from implied volatility of S&P 100 index options" 77 : 527-546, 2004

14 Lin, C. T., "The diffusion-jump process for the VIX and S&P 500 index" 4 : 1761-1768, 2010

15 Mayhew, S., "Stock return dynamics, option volume, and the information content of implied volatility" 23 : 615-646, 2003

16 Fleming, J., "Predicting stock market volatility: A new measure" 15 : 265-302, 1995

17 Becker, R., "On the informational efficiency of S&P 500 implied volatility" 17 : 139-153, 2006

18 Jorion, P., "On jump processes in the foreign exchange and stock markets" 1 : 427-445, 1988

19 Das, S. R., "Of smiles and smirks: A term structure perspective" 34 : 211-239, 1999

20 Maheu, J. M., "News arrival, jump dynamics and volatility components for individual stock returns" 59 : 755-793, 2004

21 Wong, W. K., "Market imperfections and the information content of implied and realized volatility" 17 : 58-79, 2009

22 Wagner, N., "Local and spillover shocks in implied market volatility: Evidence from the U.S. and Germany" 18 : 237-251, 2004

23 Bali, T. G., "Is there a risk-return tradeoff? Evidence from high-frequency data" 21 : 1169-1198, 2006

24 Dumas, B., "Implied volatility functions: Empirical tests" 53 : 2059-2106, 1998

25 Newey, W. K., "Hypothesis testing with efficient method of moments estimation" 28 : 777-787, 1987

26 Hansen, L. P., "Forward rates as optimal predictors of future spot rates: An econometric analysis" 88 : 829-853, 1980

27 Andersen, T. G., "Forecasting financial market volatility: Sampling frequency vis-a-vis forecast horizon" 6 : 457-477, 1999

28 Pong, S., "Forecasting currency volatility: A comparison of implied volatilities and AR(FI)MA models" 28 : 2541-2563, 2004

29 Blair, B. J., "Forecasting S&P 100 volatility: The incremental information content of implied volatilities and high-frequency index returns" 105 : 5-26, 2001

30 Shefrin, H., "Ending the management illusion: How to drive business results using the principles of behavioral finance" McGraw Hill 2008

31 Bakshi, G., "Empirical performance of alternative options pricing models" 52 : 2003-2049, 1997

32 Becker, R., "Does implied volatility provide any information beyond that captured in model-based volatility forecasts?" 31 : 2535-4259, 2007

33 Chan, W. H., "Conditional jump dynamics in stock market return" 20 : 377-389, 2002

34 Chicago Board Options Exchange, "CBOE volatility index–VIX"

35 Andersen, T. G., "Answering the skeptics: Yes, standard volatility models do provide accurate forecasts" 39 : 885-905, 1998

36 Dotsis, G., "An empirical comparison of continuous-time models of implied volatility indices" 31 : 3584-3603, 2007

37 Bali, T. G., "A conditional extreme value volatility estimator based on high-frequency returns" 31 : 361-397, 2007

38 Hibbert, A. M., "A behavioral explanation for the negative asymmetric return-volatility relation" 32 : 2254-2266, 2008