The value of the customer has been widely recognized in terms of financial planning and efficient resource allocation including the financial service industry. Previous studies have shown that directly observable information can be used in order to make reasonable predictions of customer...

Country risk assessment is central to the international investment, which recently has increasingly focused on emerging markets (EM). In this paper we proxy for country risk in EM by using time-varying beta. We extend existing literature by applying a dynamic conditional correlation GARCH model....

This paper investigates the effect of including the customer loan approval process to the estimation of loan performance and explores the influence of sample selection bias in predicting the probability of default. The bootstrap variable reduction technique is applied to reduce the variable...

Recently there have been a number of differing findings in the empirical evidence on fund performance. In this paper we suggest this difference could be explained by the treatment of the regression assumptions. The crucial question in this paper for investors is whether the presence of...

This paper investigates the impact of news announcements on foreign exchange (FX) implied volatility (IV) for four major FX rates for the 12-year period 1998–2009. The news announcements examined are 16 scheduled US macroeconomic announcements, the release of the minutes of the Federal Open...

In this paper we examine whether the UK closed-end country fund premium is related to the illiquidity of the UK fund or the illiquidity of the country in which the fund invests. We also consider whether emerging market country funds behave differently in terms of their premium and illiquidity to...

We propose a new method for estimating common factors of multiple time series. One distinctive feature of the new approach is that it is applicable to some nonstationary time series. The unobservable, nonstationary factors are identified by expanding the white noise space step by step, thereby...

For autoregressive moving average (ARMA) models with infinite variance innovations, quasi-likelihood-based estimators (such as Whittle estimators) suffer from complex asymptotic distributions depending on unknown tail indices. This makes statistical inference for such models difficult. In...

Although quasi maximum likelihood estimator based on Gaussian density (G-QMLE) is widely used to estimate GARCH-type models, it does not perform successfully when error distribution is either skewed or leptokurtic. This paper proposes normal mixture quasi-maximum likelihood estimator (NM-QMLE)...

We propose a new method to determine the cointegration rank in the error correction model of Engle and Granger (1987). To this end, we first estimate the cointegration vectors in terms of a residual-based principal component analysis. Then the cointegration rank, together with the lag order, is...