2009
DOI: 10.1142/s0219024909005294
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Sensitivity Analysis and Density Estimation for the Hobson-Rogers Stochastic Volatility Model

Abstract: Monte Carlo estimators of sensitivity indices and the marginal density of the price dynamics are derived for the Hobson-Rogers stochastic volatility model. Our approach is based mainly upon the Kolmogorov backward equation by making full use of the Markovian property of the dynamics given the past information. Some numerical examples are presented with a GARCHlike volatility function and its extension to illustrate the effectiveness of our formulae together with a clear exhibition of the skewness and the heavy… Show more

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Cited by 4 publications
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“…3.7). They are also applied in finance papers like Cox and Ross (1976), Aoki (1995), Kawai (2009) or Eberlein and Glau (2014).…”
Section: Related Literaturementioning
confidence: 99%
“…3.7). They are also applied in finance papers like Cox and Ross (1976), Aoki (1995), Kawai (2009) or Eberlein and Glau (2014).…”
Section: Related Literaturementioning
confidence: 99%
“…3.7). They are also applied in …nance papers like Cox and Ross (1976), Aoki (1995), Kawai (2009), or Eberlein and Glau (2014).…”
Section: Related Literaturementioning
confidence: 99%
“…One of the models that better fits market data is the so-called Hobson-Rogers model, introduced in Hobson and Rogers (1998) and studied with respect to various features in Antonelli and Prezioso (2008), Blaka Hallulli and Vargiolu (2007), Chiarella and Kwon (2000), Di Francesco and Pascucci (2004), Figà-Talamanca and Guerra (2006), Pascucci (2008, 2009), Kawai (2009), Platania (2003), Sekine (2008). The Hobson-Rogers model consists in the following (we only present the version with a single offset function).…”
Section: Introductionmentioning
confidence: 99%