The Information Content of Implied Stochastic Volatility from Currency Options

1996 ◽  
Vol 29 ◽  
pp. S559 ◽  
Author(s):  
Dajiang Guo
2006 ◽  
Vol 4 (2) ◽  
pp. 203
Author(s):  
Alan De Genaro Dario

Volatility swaps are contingent claims on future realized volatility. Variance swaps are similar instruments on future realized variance, the square of future realized volatility. Unlike a plain vanilla option, whose volatility exposure is contaminated by its asset price dependence, volatility and variance swaps provide a pure exposure to volatility alone. This article discusses the risk-neutral valuation of volatility and variance swaps based on the framework outlined in the Heston (1993) stochastic volatility model. Additionally, the Heston (1993) model is calibrated for foreign currency options traded at BMF and its parameters are used to price swaps on volatility and variance of the BRL / USD exchange rate.


2011 ◽  
Vol 19 (2) ◽  
pp. 207-232
Author(s):  
Byung Jin Kang

This paper investigate the information content of implied volatilities derived from KRW/USD OTC currency options. First, we examined the explanatory power of implied volatilities in forecasting future realized volatilities of the spot exchange rates. Next, we examined the dynamic properties of volatility spreads, the difference between implied volatilities and realized volatilities, observed in KRW/USD currency option markets. Using the sample data from January 2006 through March 2010, we first find that even though the implied volatilities have a little explanatory power in forecasting future realized volatilities, they don't improve the information content of simple historical volatilities at all. Second, this paper finds that during the period before global financial crisis in 2008, the implied volatilities are consistently lower than the realized volatilities. This suggests that we cannot exclude the possibility of risk seeking behavior of the investors in KRW/USD OTC currency option markets at that time. Finally, from the comparative analysis with KOSPI 200 index options for the same sample period, we confirmed that our empirical results are uniquely observed only in KRW/USD OTC currency option markets.


2018 ◽  
Vol 21 (08) ◽  
pp. 1850052
Author(s):  
R. MERINO ◽  
J. POSPÍŠIL ◽  
T. SOBOTKA ◽  
J. VIVES

In this paper, we derive a generic decomposition of the option pricing formula for models with finite activity jumps in the underlying asset price process (SVJ models). This is an extension of the well-known result by Alòs [(2012) A decomposition formula for option prices in the Heston model and applications to option pricing approximation, Finance and Stochastics 16 (3), 403–422, doi: https://doi.org/10.1007/s00780-012-0177-0 ] for Heston [(1993) A closed-form solution for options with stochastic volatility with applications to bond and currency options, The Review of Financial Studies 6 (2), 327–343, doi: https://doi.org/10.1093/rfs/6.2.327 ] SV model. Moreover, explicit approximation formulas for option prices are introduced for a popular class of SVJ models — models utilizing a variance process postulated by Heston [(1993) A closed-form solution for options with stochastic volatility with applications to bond and currency options, The Review of Financial Studies 6 (2), 327–343, doi: https://doi.org/10.1093/rfs/6.2.327 ]. In particular, we inspect in detail the approximation formula for the Bates [(1996), Jumps and stochastic volatility: Exchange rate processes implicit in Deutsche mark options, The Review of Financial Studies 9 (1), 69–107, doi: https://doi.org/10.1093/rfs/9.1.69 ] model with log-normal jump sizes and we provide a numerical comparison with the industry standard — Fourier transform pricing methodology. For this model, we also reformulate the approximation formula in terms of implied volatilities. The main advantages of the introduced pricing approximations are twofold. Firstly, we are able to significantly improve computation efficiency (while preserving reasonable approximation errors) and secondly, the formula can provide an intuition on the volatility smile behavior under a specific SVJ model.


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