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Time series analysis for financial market meltdowns
Kim, Young Shin; Račev, Svetlozar T.; Bianchi, Michele … - 2010
There appears to be a consensus that the recent instability in global financial markets may be attributable in part to the failure of financial modeling. More specifically, current risk models have failed to properly assess the risks associated with large adverse stock price behavior. In this...
Persistent link: https://www.econbiz.de/10008653556
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Measuring financial risk and portfolio optimization with a non-Gaussian multivariate model
Kim, Young Shin; Giacometti, Rosella; Račev, Svetlozar T. - 2012
In this paper, we propose a multivariate market model with returns assumed to follow a multivariate normal tempered stable distribution. This distribution, defined by a mixture of the multivariate normal distribution and the tempered stable subordinator, is consistent with two stylized facts...
Persistent link: https://www.econbiz.de/10009576319
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Modeling local trends with regime shifting models with time-varying probabilities
Focardi, Sergio M.; Fabozzi, Frank J.; Mazza, Davide - In: International review of financial analysis 66 (2019), pp. 1-11
Persistent link: https://www.econbiz.de/10012208942
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Calibrating the Italian smile with time-varying volatility and heavy-tailed models
Bianchi, Michele Leonardo; Račev, Svetlozar T.; … - In: Computational economics 51 (2018) 3, pp. 339-378
Persistent link: https://www.econbiz.de/10011963681
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Testing the forecasting ability of multi-factor models on non-US interbank rates
Tunaru, Diana; Fabozzi, Francesco A.; Fabozzi, Frank J. - In: The journal of fixed income : JFI 31 (2021) 2, pp. 7-33
Persistent link: https://www.econbiz.de/10012656054
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Computing VAR and AVaR in Infinitely Divisible Distributions
Kim, Young Shin - 2009
In this paper we derive closed-form solutions for the cumulative density function and the average value-at-risk for five subclasses of the infinitely divisible distributions: classical tempered stable distribution, Kim-Rachev distribution, modified tempered stable distribution, normal tempered...
Persistent link: https://www.econbiz.de/10013160026
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Stochastic models for risk estimation in volatile markets : a survey
Stoyanov, Stoyan V.; Racheva-Iotova, Borjana; Račev, … - 2010
Persistent link: https://www.econbiz.de/10003964894
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Stochastic Models for Risk Estimation in Volatile Markets : A Survey
Stoyanov, Stoyan V. - 2010
Portfolio risk estimation in volatile markets requires employing fat-tailed models for financial returns combined with … copula functions to capture asymmetries in dependence and an appropriate downside risk measure. In this survey, we discuss … how these three essential components can be combined together in a Monte Carlo based framework for risk estimation and …
Persistent link: https://www.econbiz.de/10013134877
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Bayesian inference for hedge funds with stable, distribution of returns
Güner, Biliana; Račev, Svetlozar T.; Edelmanz, Daniel; … - 2010
Recently, a body of academic literature has focused on the area of stable distributions and their application potential for improving our understanding of the risk of hedge funds. At the same time, research has sprung up that applies standard Bayesian methods to hedge fund evaluation. Little or...
Persistent link: https://www.econbiz.de/10008653564
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A comparison of multi-factor term structure models for interbank rates
Fabozzi, Frank J.; Fabozzi, Francesco A.; Tunaru, Diana - In: Review of quantitative finance and accounting 61 (2023) 1, pp. 323-356
Persistent link: https://www.econbiz.de/10014342033