Alfaro, Rodrigo and Silva, Carmen Gloria (2010): Stock Index Volatility: the case of IPSA.
Preview |
PDF
MPRA_paper_25906.pdf Download (171kB) | Preview |
Abstract
This paper introduces alternative measurements that use additional information of prices during the day: opening, minimum, maximum, and closing prices. Using the binomial model as the distribution of the stock price we prove that these alternative measurements are more efficient than the traditional ones that rely only in closing price. Following Garman and Klass (1980) we compute the relative efficiency of these measurements showing that are 3 to 4 times more efficient than using closing prices. Using daily data of the Chilean stock market index we show that a discrete-time approximation of the stock price seems to be more accurate than the continuous-time model. Also, we prove that there is a high correlation between intraday volatility measurements and implied ones obtained from options market (VIX). For that we propose the use of intraday information to estimate volatility for the cases where the stock markets do not have an associated option market.
Item Type: | MPRA Paper |
---|---|
Original Title: | Stock Index Volatility: the case of IPSA |
Language: | English |
Keywords: | Volatility, Binomial Model, VIX, Bias and Efficiency. |
Subjects: | G - Financial Economics > G1 - General Financial Markets > G11 - Portfolio Choice ; Investment Decisions G - Financial Economics > G1 - General Financial Markets > G12 - Asset Pricing ; Trading Volume ; Bond Interest Rates C - Mathematical and Quantitative Methods > C2 - Single Equation Models ; Single Variables > C22 - Time-Series Models ; Dynamic Quantile Regressions ; Dynamic Treatment Effect Models ; Diffusion Processes |
Item ID: | 25906 |
Depositing User: | Rodrigo Alfaro |
Date Deposited: | 18 Oct 2010 14:51 |
Last Modified: | 01 Oct 2019 20:57 |
References: | Alfaro, R., Silva, C.G., 2008. Volatilidad de Índices Accionarios: el caso del IPSA. Latin American Journal of Economics. Cuadernos de Economía, Vol. 45 (Noviembre): 217-233. Cox, J., Ross, S., Rubinstein, M., 1979. Option pricing: a simplified approach. Journal of Financial Economics 7(3): 229-263. Demeterfi, K., Derman, E., Kamal, M., Zou, J., 1999. More Than You Ever Wanted to Know About Volatility Swaps. Goldman Sachs Quantitative Strategies Research Notes. Garman, M., Klass, M., 1980. On the Estimation of Security Price Volatilities from Historical Data. The Journal of Business 53(1): 67-78. Parkinson, M., 1980. The Extreme Value Method for Estimating the Variance of the Rate of Return. The Journal of Business 53(1): 61-65. Rogers, L., Satchell, S., 1991. Estimating Variance from High, Low, and Closing Prices. The Annals of Applied Probability 1(4): 504-512. Wilmott, P., 2006. Paul Wilmott on Quantitative Finance, volume 3, second edition. John Wiley & Sons, Ltd. Yang, D., Zhang, Q., 2000. Drift-Independent Volatility Estimation Based on High, Low, Open, and Close Prices. The Journal of Business 73(3): 477-491. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/25906 |