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This paper investigates the common intuition suggesting that dur-ing crises the shape of the financial market clearly differentiates from that of random walk processes. In this sense, it challenges th...
The univariate piecing-together approach (PT) fits a univariate generalized Pareto distribution (GPD) to the upper tail of a given distribution function in a continuous manner. We propose a multivaria...
This study considers the multivariate segmentation procedure under the assumption of the multivariate Gaussian mixture. Jensen-Shannon divergence between two multivariate Gaussian distributions is emp...
This paper deals with dependence across marginally exponentially distributed arrival times, such as default times in financial modeling or inter-failure times in reliability theory. We explore the rel...
Abstract: We introduce closed-form transition density expansions for multivariate affine jump-diffusion processes. The expansions rely on a general approximation theory which we develop in weighted Hi...
We present a multivariate stochastic volatility model with leverage, which is flexible enough to recapture the individual dynamics as well as the interdependencies between several assets while still ...
Inference on multivariate ARCH processes with large sizes      Inference  multivariate ARCH processes  large sizes        font style='font-size:12px;'> 2010/10/29
The covariance matrix is formulated in the framework of a linear multivariate ARCH process with long memory, where the natural cross product structure of the covariance is generalized by adding two ...
This paper develops a Bayesian procedure for estimation and forecasting of the volatility of multivariate time series. The foundation of this work is the matrix-variate dynamic linear model, for the v...
Multivariate Modeling of Daily REIT Volatility     multivariate GARCH  REIT  value stocks       font style='font-size:12px;'> 2011/3/31
This paper examines volatility in REITs using a multivariate GARCH based model. The Multivariate VAR-GARCH technique documents the return and volatility linkages between REIT sub-sectors and also exam...
CLOSED-FORM LIKELIHOOD EXPANSIONS FOR MULTIVARIATE DIFFUSIONS     Diffusions  likelihood  expansions  discrete observations       font style='font-size:12px;'> 2014/3/13
This paper provides closed-form expansions for the log-likelihood function of multivariate diffusions sampled at discrete time intervals. The coefficients of the expansion are calculated explicitly by...
We examine the quality of recently developed asymptotic approximations to the sampling distributions of various statistics in levels regressions when the regressors have unit ro...
The paper formulates and estimates a single-factor multi-variate time series model. The model is a dynamic gen-eralization of the multiple indicator (or factor analysis) model. ...

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