Generalization of the Implied Volatility of Options Applied to Shares

Mauro Masili, Antonio Luiz Tonissi Migliato

Abstract


Background: The historical volatility of assets has been widely studied and used in financial markets. In addition, the implied volatilities of options are increasingly being used as possible predictors of future volatility. Although the market works by pricing future expectations, there is no formal definition in the literature of what we call the implied volatility of a stock.

Objective: To generalize the concept of an option’s implied volatility and derive a new volatility to be assigned to the underlying stock, now named “asset implied volatility”.

Methods: The implied volatilities of options were calculated within the Black-Scholes model using historical stock and option prices, as well as characteristics such as expiration date, strike price, and others. The theoretical option price was calculated using variables extracted from the market, except for implied volatility, which was calculated by numerically inverting the price equation. Option’s greeks were also calculated and used to calculate the weighted average of the implied volatilities. Historical volatility was calculated using the Yang-Zhang method and was used for comparison.

Results: The “implied volatility of the asset” showed no correlation with the asset’s historical volatility. This new implied volatility, assigned to the asset, suggests that this metric may contain additional information since it does not incorporate information already measured in another way.

Relevance: The results have a potential contribution to economic agents as they can be used as an additional tool in financial resource allocation strategies for investment or asset trading.


Keywords


Implied Volatility; Historical Volatility; Stocks; Options; Derivatives

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References


Bennet, C. (2014). Trading volatility: Trading volatility, correlation, term structure and skew. Retrieved from http://www.trading-volatility.com/

Canina, L., & Figlewski, S. (1993). The informational content of implied volatility, The Review of Financial Studies, 6, 659–681.

Christensen, B. J., & Prabhala, N. R. (1998). The relation between implied and realized volatility, Journal of Financial Economics, 50, 125–150.

Hansen, C. S. (2001). The relationship between implied and realized volatility in the Danish option and equity markets, Accounting and Finance, 41, 197–228.

Harvey, C. R., & Whaley, R. E. (1992). Market volatility prediction and the efficiency of the S&P100 index option market, Journal of Financial Economics, 31, 43–73.

Kaeppel, J. (2002). The option trader’s guide to probability, volatility, and timing. New York: John Wiley & Sons, Inc.

Laplante, J. F., Desrochers, J., & Préfontaine, J. (2008). The GARCH(1,1) model as a risk predictor for international portfolios, International Business & Economics Research Journal, 7, 23–34.

Mello, A. R. A. F. (2009). Volatilidade implícita das opções de ações: uma análise sobre a capacidade de previsão do mercado sobre a volatilidade futura. Dissertação de mestrado. Fundação Getúlio Vargas, São Paulo.

Migliato, A. L. T, Storani, K., & Masili, M. (2008). Osciladores, padrões de candlesticks e variações de preços de ativos financeiros: um estudo preliminar sobre a relação entre esses fatores no mercado de ações, Revista Multiciência, 9, 291–301.

Poterba, J. M., & Summers, L. H. (1986). The persistence of volatility and stock market fluctuations, The American Economic Review, 76, 1142–1151.

Płuciennik, P. (2007). A modified Corrado-Miller implied volatility estimator. Fasciculi Mathematici, 38, 115–124.

Sheikh, A. M. (1989). Stock splits, volatility increases, and implied volatilities, The Journal of Finance, XLIV, 1361–1372.

Sinclair, E. (2008). Volatility trading. New Jersey: John Wiley & Sons, Inc.

Yang, D., & Zhang, Q. (2000). Drift-independent volatility estimation based on high, low, open, and close prices, Journal of Business 73, 477–491.


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Portuguese Journal of Finance, Management and Accounting

e-ISSN: 2183-3826

DOI: 10.54663/2183-3826

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