With the rapid flow of knowledge and capital from Hong Kong and Taiwan to Mainland China, a dynamic economy of “Greater China” has emerged, making the Chinese trio increasingly interdependent on trade and investment. In this paper we develop a three-variable VAR model to assess empirically...

Several Multivariate GARCH (MGARCH) models have been proposed, and recently such MGARCH specifications have been examined in terms of their out-of-sample forecasting performance. An empirical comparison of alternative MGARCH models is provided, which focuses on the BEKK, DCC, Corrected DCC...

Of the two most widely estimated univariate asymmetric conditional volatility models, the exponential GARCH (or EGARCH) specification can capture asymmetry, which refers to the different effects on conditional volatility of positive and negative effects of equal magnitude, and leverage, which...

No abstract received.

The three most popular univariate conditional volatility models are the generalized autoregressive conditional heteroskedasticity (GARCH) model of Engle (1982) and Bollerslev (1986), the GJR (or threshold GARCH) model of Glosten, Jagannathan and Runkle (1992), and the exponential GARCH (or...

The purpose of the paper is to discuss ten things potential users should know about the limits of the Dynamic Conditional Correlation (DCC) representation for estimating and forecasting time-varying conditional correlations. The reasons given for caution about the use of DCC include the...

Financial economics and econometrics have advanced rapidly in recent years, in terms of coverage of topics, the creation of new data sources, the availability of existing high frequency and ultra-high frequency tick data, the growing importance of international financial analysis, the...

The <i>Journal of Risk and Financial Management</i> was first published in 2008, and, since its inception, has published a number of theoretical and empirical papers on various topics in risk and financial management, in pursuit of its stated goal of advancing knowledge and understanding in the...

The papers in this special issue of Mathematics and Computers in Simulation cover the following topics: improving judgmental adjustment of model-based forecasts, whether forecast updates are progressive, on a constrained mixture vector autoregressive model, whether all estimators are born equal:...

One of the most widely-used multivariate conditional volatility models is the dynamic conditional correlation (or DCC) specification. However, the underlying stochastic process to derive DCC has not yet been established, which has made problematic the derivation of asymptotic properties of the...