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Financial price fluctuations in a stock market model with many interacting agents
Horst, Ulrich - 2001
We consider a financial market model with a large number of interacting agents. Investors are heterogeneous in their expectations about the future evolution of an asset price process. Their current expectation is based on the previous states of their "neighbors" and on a random signal about the...
Persistent link: https://www.econbiz.de/10009613599
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Malliavin's calculus in insider models : additional utility and free lunches
Imkeller, Peter - 2002
We consider simple models of financial markets with regular traders and insiders possessing some extra information … information drift, i.e. the drift to eliminate in order to preserve the martingale property in the insider's filtration, turns out … trace of the conditional laws of the insider information with respect to the filtration of the regular trader. Several …
Persistent link: https://www.econbiz.de/10009620768
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Option pricing under linear autoregressive dynamics, heteroskedasticity, and conditional leptokurtosis
Hafner, Christian M.; Herwartz, Helmut - 1999
Daily returns of financial assets are frequently found to exhibit positive autocorrelation at lag 1. When specifying a linear AR(l) conditional mean, one may ask how this predictability affects option prices. We investigate the dependence of option prices on autoregressive dynamics under...
Persistent link: https://www.econbiz.de/10009580460
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Modeling the interdependence of volatility and inter-transaction duration processes
Grammig, Joachim; Wellner, Marc - 1999
indirect test of the hypothesis that volatility is caused by private information that affects prices when informed investors …
Persistent link: https://www.econbiz.de/10009579173
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Flexible stochastic volatility structures for high frequency financial data
Feldmann, David; Härdle, Wolfgang; Hafner, Christian M.; … - 1998
Stochastic Volatility (SV) models are widely used in financial applications. To decide whether standard parametric restrictions are justified for a given dataset, a statistical test is required. In this paper, we develop such a test based on the linear state space representation. We provide a...
Persistent link: https://www.econbiz.de/10009578026
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A local instrumental estimation method for generalized additive volatility models
Kim, Woocheol; Linton, Oliver - 2000
We investigate a new separable nonparametric model for time series, which includes many ARCH models and AR models already discussed in the literature. We also propose a new estimation procedure based on a localization of the econometric method of instrumental variables. Our method has...
Persistent link: https://www.econbiz.de/10009612037
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Risk premia and financial modelling without measure transformation
Platen, Eckhard - 2000
This paper describes a financial market modelling framework that exploits the notion of a deflator . The denominations of the deflator measured in units of primary assets form a minimal set of basic financial quantities that completely specify the overall market dynamics, where deflated asset...
Persistent link: https://www.econbiz.de/10009612031
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American options, multi-armed bandits and optimal consumption plans : a unifying view
Bank, Peter (contributor); Föllmer, Hans (contributor) - 2003 - [Elektronische Ressource], rev
Persistent link: https://www.econbiz.de/10001917057
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Semiparametric diffusion estimation and application to a stock market index
Härdle, Wolfgang; Kleinow, Torsten; Korostelev, … - 2001
The analysis of diffusion processes in financial models is crucially dependent on the form of the drift and diffusion coefficient functions. A methodology is proposed for estimating and testing coefficient functions for ergodic diffusions that are not directly observable. It is based on...
Persistent link: https://www.econbiz.de/10009613611
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Fitting the smile revisited : a least squares kernel estimator for the implied volatility surface
Fengler, Matthias R. (contributor); Wang, Qihua (contributor) - 2003 - [Elektronische Ressource]
Persistent link: https://www.econbiz.de/10001919426