This paper addresses the open debate about the usefulness of high-frequency (HF) data in large-scale portfolio allocation. Daily covariances are estimated based on HF data of the S&P 500 universe employing a blocked realized kernel estimator. We propose forecasting covariance matrices using a...

This paper addresses the open debate about the effectiveness and practical relevance of highfrequency (HF) data in portfolio allocation. Our results demonstrate that when used with proper econometric models, HF data offers gains over daily data and more importantly these gains are maintained...

The objectives of this paper are to examine the impact of liberalization on trade deficits and current accounts for developing economies. Attempts at liberalization in trade could lead to an increase in imports in the short run and this could cause both trade and current account deficits in...

This study examines the Prebisch and Singer hypothesis using a panel of 24 commodity prices from 1900 to 2010. The modelling approach stems from the need to meet two key concerns: (1) the presence of cross-sectional dependence among commodity prices; and (2) the identification of potential...

This paper investigates the dynamic relationship between terms of trade shocks and the current account in selected small islands developing states. The findings show that the terms of trade explain a significant proportion of the variation in the current account balances. Also, the current...

Through a VECM, during 1961-2017 in Argentina, we found cointegration between the Multilateral Real Exchange Rate and four fundamental variables: Net Foreign Assets, Public Expenditure, Terms of Trade, and Productivity. Defining the Real Exchange Rate as domestic prices in dollars, we estimate a...

I introduce a technique to estimate parameters in regressions with reduced rank parameters in a general setting. The framework can handle a general class of parameter restrictions and allows for specifications with heteroskedastic and autocorrelated regression errors. Applications of this...

This paper presents a new approach to estimation and inference in panel data models with a multifactor error structure where the unobserved common factors are (possibly) correlated with exogenously given individual-specific regressors, and the factor loadings differ over the cross section units....