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References (22)
-
O. Gwilym, O. Gwilym (2001)
Forecasting Volatility for Options Pricing for the U.K. Stock MarketJournal of Financial Management and analysis, 14
-
Philippe Jorion (1995)
Predicting Volatility in the Foreign Exchange MarketJournal of Finance, 50
-
S. Chu, S. Freund (1996)
Volatility estimation for stock index options: A GARCH approachThe Quarterly Review of Economics and Finance, 36
-
Jeff Fleming (1998)
The quality of market volatility forecasts implied by S&P 100 index option pricesJournal of Empirical Finance, 5
-
C. Lamoureux, W. Lastrapes (1993)
Forecasting Stock-Return Variance: Toward an Understanding of Stochastic Implied VolatilitiesReview of Financial Studies, 6
-
Yu Huang, Shing Chen (2002)
Warrants pricing: Stochastic volatility vs. Black-ScholesPacific-basin Finance Journal, 10
-
J. Campa, P. Chang (1995)
Testing the Expectations Hypothesis on the Term Structure of Volatilities in Foreign Exchange OptionsJournal of Finance, 50
-
Linda Canina, Stephen Figlewski (1993)
The Informational Content of Implied VolatilityReview of Financial Studies, 6
-
Vicentiu Covrig, Buen Low (2003)
The Quality of Volatility Traded on the Over-the-Counter Currency Market: A Multiple Horizons StudyJournal of Futures Markets, 23
-
T. Andersen, T. Bollerslev, Stephen Lange (1999)
Forecasting financial market volatility: Sample frequency vis-a-vis forecast horizonJournal of Empirical Finance, 6
-
Dajiang Guo (1996)
The risk premium of volatility implicit in currency optionsProceedings of the IEEE/IAFE/INFORMS 1998 Conference on Computational Intelligence for Financial Engineering (CIFEr) (Cat. No.98TH8367)
-
Louis Scott (1991)
The Information Content of Prices in Derivative Security MarketsDerivatives
-
Daniel Nelson (1991)
CONDITIONAL HETEROSKEDASTICITY IN ASSET RETURNS: A NEW APPROACHEconometrica, 59
-
T. Day, C. Lewis (1992)
Stock market volatility and the information content of stock index optionsJournal of Econometrics, 52
-
J. Hull (1989)
Options, Futures, and Other Derivatives -
A. Pagan, G. Schwert (1989)
Alternative Models for Conditional Stock VolatilityNBER Working Paper Series
-
David Bates (1993)
Jumps and Stochastic Volatility: Exchange Rate Processes Implicit in Thephlx Deutschemark OptionsNBER Working Paper Series
-
J. Hull, Alan White (1987)
The Pricing of Options on Assets with Stochastic VolatilitiesJournal of Finance, 42
-
Kai Li (2002)
Long-Memory versus Option-Implied Volatility Predictions, 9
-
Galen Burghardt, M. Lane (1990)
How to tell if options are cheap, 16
-
S. Feinstein (1989)
Forecasting stock-market volatility using options on index futuresEconometric Reviews
-
T. Day, C. Lewis (1993)
Forecasting Futures Market Volatility, 1
- Publisher
- Inderscience Publishers
- Copyright
- Copyright © Inderscience Enterprises Ltd. All rights reserved
- ISSN
- 1752-7767
- eISSN
- 1752-7775
- DOI
- 10.1504/AJFA.2008.019876
- Publisher site
- See Article on Publisher Site
Abstract
This paper examines the informational content and predictive power of implied volatility over different forecasting horizons in a sample of European covered warrants traded in the Hong Kong and Singapore markets. The empirical results show that time-series-based volatility forecasts outperform implied volatility forecast as predictors of future volatility. The finding also suggests that implied volatility is biased and informationally inefficient and that covered warrants are typically overvalued. The results are attributable to the fact that, in Hong Kong and Singapore, the covered warrants markets are dominated by retail investors who tend to use covered warrants' leverage to speculate on the price movements of the underlying assets rather than to express their view on volatility. Arbitrage is not possible in the markets as short-selling of covered warrants is prohibited.
Journal
American Journal of Finance and Accounting – Inderscience Publishers
Published: Jan 1, 2008