We use a unique dataset of bond downgrades from a niche rating company that has been found to be reacting faster to publicly available information than its competitors. Using regime-switching models we propose risk measures to quantify stock return disturbances (distress costs) associated with...

Numerous research papers have used Irish-only data to test for the presence of an investment gap for small- and medium-sized enterprises (SMEs). In this paper, we use cross country firm-level survey data from the World Bank Enterprise Surveys to explore the investment patterns of Irish SMEs in a...

As a unified discipline, econometrics is still relatively young and has been transforming and expanding very rapidly over the past few decades. Major advances have taken place in the analysis of cross sectional data by means of semi-parametric and non-parametric techniques. Heterogeneity of...

Autoregressive Conditional Heteroscedasticity (ARCH) models have successfully been employed in order to predict asset return volatility. Predicting volatility is of great importance in pricing financial derivatives, selecting portfolios, measuring and managing investment risk more accurately. In...

This study investigates the empirical relationship between economic growth (GDP) and Foreign Direct Investment (FDI) as well as the Real Effective Exchange Rate (REER) and Trade Openness (TOP) of Bangladesh over the period from 1973 to 2017 by using Johansen cointegration test and VECM analysis....

Several existing theories emphasize the strong positive effects of globalization and financial development on human development, either because of the rising economic welfare and the higher productivity of workers generating from increasing skill specialization or because financial development...

Autoregressive Conditional Heteroscedasticity (ARCH) models have successfully been employed in order to predict asset return volatility. Predicting volatility is of great importance in pricing financial derivatives, selecting portfolios, measuring and managing investment risk more accurately. In...

This paper develops a wavelet (spectral) approach to test the presence of a unit root in a stochastic process. The wavelet approach is appealing, since it is based directly on the different behavior of the spectra of a unit root process and that of a short memory stationary process. By...

We propose two tests for the equality of covariance matrices between two high-dimensional populations. One test is on the whole variance-covariance matrices, and the other is on offdiagonal sub-matrices which define the covariance between two non-overlapping segments of the high-dimensional...