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This paper shows the importance of technological synergies among heterogeneous firms for aggregate fluctuations. First, we document six novel empirical facts using microdata that suggest the existence of important technological synergies between trading firms, the presence of positive...
Persistent link: https://www.econbiz.de/10014496498
with MCMC algorithm” cited, Rev Quant Finan Acc (2012) 38:479-493 DOI 10.1007/s11156-011-0236-1 where we propose initially … estimate the parameter of a mixture stochastic volatility model, we first use the Expectation-Maximisation (EM) algorithm. The …
Persistent link: https://www.econbiz.de/10009755511
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We propose a high-frequency rebalancing algorithm (HFRA) and compare its performance with periodic rebalancing (PR) and …
Persistent link: https://www.econbiz.de/10014541693
and showed that the implied volatility can be obtained by interpolation. This interpolation-based algorithm does not …
Persistent link: https://www.econbiz.de/10013114656
This paper addresses the joint calibration problem of SPX options and VIX options or futures. We show that the problem can be formulated as a semimartingale optimal transport problem under a finite number of discrete constraints, in the spirit of [arXiv:1906.06478]. We introduce a PDE...
Persistent link: https://www.econbiz.de/10012837844
Calibrating option pricing models to market prices often leads to optimisation problems to which standard methods (like such based on gradients) cannot be applied. We investigate two models: Heston's stochastic volatility model, and Bates's model which also includes jumps. We discuss how to...
Persistent link: https://www.econbiz.de/10013095037
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This paper points out an empirical failing of real business cycle models in which unemployment is endogenized through a matching function. One can easily choose a calibration to make the cyclical fluctuation in unemployment as large in the model as it is in the data, or to make the response of...
Persistent link: https://www.econbiz.de/10011509369
The Heston model stands out from the class of stochastic volatility (SV) models mainly for two reasons. Firstly, the process for the volatility is nonnegative and mean-reverting, which is what we observe in the markets. Secondly, there exists a fast and easily implemented semi-analytical...
Persistent link: https://www.econbiz.de/10008663372