L Yu, R Zha, D Stafylas, K He, J Liu - International Review of Financial …, 2020 - Elsevier
This paper examines the dynamic relationship between the oil market and stock markets from two perspectives: dependence between the crude oil market (WTI) and stock markets of …
S Çiçek, A Yıldırım - Central Bank Review, 2024 - Elsevier
The Turkish economy has encountered significant shocks in interest rates and foreign exchange along with global risks in recent years. These shocks had an impact not only on …
This survey reviews the existing literature on the most relevant Bayesian inference methods for univariate and multivariate GARCH models. The advantages and drawbacks of each …
MC Ausín, P Galeano - Computational Statistics & Data Analysis, 2007 - Elsevier
Bayesian inference and prediction for a generalized autoregressive conditional heteroskedastic (GARCH) model where the innovations are assumed to follow a mixture of …
String similarity search is a fundamental operation in data cleaning and integration. It has two variants, threshold-based string similarity search and top-k string similarity search …
Chapter written for the Handbook of Volatility Models and their Applications, edited by Luc Bauwens, Christian Hafner, and Sébastien Laurent, forthcoming in 2012 (John Wiley & …
GC Lim, GM Martin, VL Martin - Journal of Applied …, 2005 - Wiley Online Library
A general parametric framework based on the generalized Student t‐distribution is developed for pricing S&P500 options. Higher order moments in stock returns as well as …
This article looks at the usefulness of Bayesian methods in finance. It covers all the major topics in finance. It discusses the predictability of the mean of asset returns, central to …
R Tunaru, T Zheng - International Review of Financial Analysis, 2017 - Elsevier
Parameter estimation risk is non-trivial in both asset pricing and risk management. We adopt a Bayesian estimation paradigm supported by the Markov Chain Monte Carlo inferential …