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At the time of writing this article, Fourier inversion is the computational method of choice for a fast and accurate calculation of plain vanilla option prices in models with an analytically available characteristic function. Shifting the contour of integration along the complex plane allows for...
Persistent link: https://www.econbiz.de/10005209502
The characteristic functions of many affine jump-diffusion models, such as Heston’s stochastic volatility model and all of its extensions, involve multivalued functions such as the complex logarithm. If we restrict the logarithm to its principal branch, as is done in most software packages,...
Persistent link: https://www.econbiz.de/10005137076
Estimation of the volatility of time series has taken off since the introduction of the GARCH and stochastic volatility …
Persistent link: https://www.econbiz.de/10008867496
Estimation of the volatility of time series has taken off since the introduction of the GARCH and stochastic volatility … unobserved stochastic volatility, and the varying approaches that have been taken for such estimation. In order to simplify the … comprehension of these estimation methods, the main methods for estimating stochastic volatility are discussed, with focus on their …
Persistent link: https://www.econbiz.de/10008867506
Double barrier options have become popular instruments in derivative markets. Several papers have already analysed double knock-out call and put options using different methods. In a recent paper, Geman and Yor (1996) derive expressions for the Laplace transform of the double barrrier option...
Persistent link: https://www.econbiz.de/10005281742
<p>A key application of long memory time series models concerns inflation. Long memory implies that shocks have a long-lasting effect. It may however be that empirical evidence for long memory is caused by neglecting one or more level shifts. Since such level shifts are not unlikely for inflation,...</p>
Persistent link: https://www.econbiz.de/10005209483
This paper develops a novel approach to modeling and forecasting realized volatility (RV) measures based on copula functions. Copula-based time series models can capture relevant characteristics of volatility such as nonlinear dynamics and long-memory type behavior in a flexible yet parsimonious...
Persistent link: https://www.econbiz.de/10009293998
The sum of squared intraday returns provides an unbiased and almost error-free measure of ex-post volatility. In this paper we develop a nonlinear Autoregressive Fractionally Integrated Moving Average (ARFIMA) model for realized volatility, which accommodates level shifts, day-of-the-week...
Persistent link: https://www.econbiz.de/10005137234
considered for the modelling of economic time series. The focus of this paper is on the simultaneous estimation of parameters … related to the stochastic processes of the mean part and the variance part of the model. The estimation method is based on … carried out to investigate the small-sample properties of the estimation procedure. We present two illustrations which are …
Persistent link: https://www.econbiz.de/10005209436
varying size. Based on the new modelling framework and the associated estimation technique, we find remarkable changes in the …
Persistent link: https://www.econbiz.de/10005209535