This paper develops a model of banking frictions and banking riskiness, the importance of which is highlighted by the recent Global Financial Crisis (GFC). We propose a model-based approach to decompose the effect of a banking riskiness shock into a pure default effect and a risk effect when...

This paper examines the linkage of real interest rates of a group of Pacific-Basin countries with a focus on East Asia. We consider monthly real interest rates of the US, Japan, Korea, Singapore, and Thailand from 1980 and 2004. The impulse response analysis and half-life estimation are...

Estimation of the reduced rank regression model requires restrictions be imposed upon the model. Two forms of restrictions are commonly used. Earlier Bayesian work relied on the triangular method of identification which imposes an a priori ordering on the variables in the system, however,...

The basic ideals underlying the Kalman filter are outlined in this paper without direct recourse to the complex formulae normally associated with this method. The novel feature of the paper is its reliance on a new algebraic system based on the first two moments of the multivariate normal...

Statistics is commonly taught as a set of techniques to aid in decision making, by extracting information from data. It is argued here that the underlying purpose, often implicit rather than explicit, of every statistical analysis is to establish a set of probability models which can be used to...

This study examines the existence of long-run equilibrium relationship between the Cambodia’s real exchange rates and real interest differentials. The results of cointegration tests (i.e. Engle-Granger tests, and Johansen’s multivariate tests without and with structural breaks)...

The object of this paper is to produce distributional forecasts of physical volatility and its associated risk premia using a non-Gaussian, non-linear state space approach. Option and spot market information on the unobserved variance process is captured by using dual 'model-free' variance...

The object of this paper is to produce non-parametric maximum likelihood estimates of forecast distributions in a general non-Gaussian, non-linear state space setting. The transition densities that define the evolution of the dynamic state process are represented in parametric form, but the...

This article studies a simple, coherent approach for identifying and estimating error correcting vector autoregressive moving average (EC-VARMA) models. Canonical correlation analysis is implemented for both determining the cointegrating rank, using a strongly consistent method, and identifying...

In There is evidence that exponential smoothing methods as well as time varying parameter models perform relatively well in forecasting comparisons. The aim of this paper is to introduce a new forecasting technique by integrating the exponential smoothing model with regressors whose coefficients...