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Titlebook: Continuous Time Processes for Finance; Switching, Self-exci Donatien Hainaut Book 2022 The Editor(s) (if applicable) and The Author(s), und

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樓主: 撒謊
41#
發(fā)表于 2025-3-28 16:08:30 | 只看該作者
Gaussian Fields for Asset Prices, one of the main motivations justifying the study of fractional Brownian motion (fBm) seen in Chap. .. Gaussian fields offer a natural extension of fBm in which the marginal distribution is Gaussian with various covariance structures.
42#
發(fā)表于 2025-3-28 20:02:45 | 只看該作者
43#
發(fā)表于 2025-3-28 23:28:07 | 只看該作者
Switching Models: Properties and Estimation,hat this model fails to account for economic cycles because increments are independent and identically distributed. A reliable solution for modeling economic cycles consists in modulating the parameters of a basis process, e.g., a Brownian motion by a hidden Markov chain. This approach has received
44#
發(fā)表于 2025-3-29 03:37:14 | 只看該作者
Estimation of Continuous Time Processes by Markov Chain Monte Carlo,carry out when the calculation of the likelihood is computationally intensive, as for instance in the multivariate extension of switching models of Chap. .. This chapter presents an alternative to maximum likelihood estimation based on a Bayesian learning paradigm. This estimation procedure, called
45#
發(fā)表于 2025-3-29 08:32:38 | 只看該作者
46#
發(fā)表于 2025-3-29 11:32:29 | 只看該作者
47#
發(fā)表于 2025-3-29 16:17:39 | 只看該作者
Non-Markov Models for Contagion and Spillover,the occurrence of a shock depends on previous ones. In the most common specification, the intensity of jumps, that is akin to the instantaneous probability of a shock, increases as soon as a jump is observed. The influence of this jump on the intensity next decays with time according to a memory fun
48#
發(fā)表于 2025-3-29 21:47:43 | 只看該作者
Fractional Brownian Motion,ltifractal process competes with GARCH models, whereas the Heston model of Chap. . achieves a better likelihood than the Black and Scholes model. On the other hand, models based on fractional Brownian motion (fBm) have emerged in recent years. For instance, in the rough Heston model, the volatility
49#
發(fā)表于 2025-3-30 00:19:18 | 只看該作者
Gaussian Fields for Asset Prices,ing securities. Assuming that asset returns are ruled by a Brownian motion with drift is convenient for mathematical developments. However, this model does not replicate the time dependence observed for some asset classes, as underlined by Willinger et al. (Finance Stoch 3:1–13, 1999). This point is
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