A general procedure is proposed to identify changes in asset return interdependence over time using entropy theory. The approach provides a decomposition of interdependence in terms of comoments including coskewness, cokurtosis and covolatility as well as more traditional measures based on...

In this study, we analyze the lead-lag relationships between the US industry index and those of six other major countries from January 1973 to May 2021. We identify the leading role played by the US internationally by showing that the weekly returns of US industries, especially the US basic...

This research aims to improve the efficiency in estimating the Hurst exponent in financial time series. A new procedure is developed based on equality in distribution and is applicable to the estimation methods of the Hurst exponent. We show how to use this new procedure with three of the most...

Stock market return is one of financial variables that contain information to forecast real activity such as industrial production and real GDP growth. However, it is still controversial that stock market return can have a predictive content on real activity. This paper attempts to investigate...

This study re-visits the health-income nexus for Malaysia using alternative econometric techniques which addressed on the small sample problem. This study covers the period of 1970-2009. Based on the appealing small sample properties, we apply the bounds testing approach to cointegration and the...

Background: Banking is an important sector of Pakistan’s economy. It is general consideration that bank’s major activities saving and lending have positive impact on economic growth. So the aim of this study is to investigate this consideration and also investigate that either growth led...

We estimate the steady state growth rate for the Nordic countries using a “knowledge economy” approach. An endogenous growth framework is employed, in which total factor productivity is a function of human capital (measured by average years of education), trade openness, research and...

How does the yield curve respond to a jump in financial uncertainty? We address this question by conducting a local projections analysis with US monthly data, period: 1962- 2018. The state-of-the-art financial uncertainty measure proposed by Ludvigson, Ma, and Ng (2019) is found to predict...

This study examines the relationship between positive and negative investor sentiments and stock market returns and volatility in Group of 20 countries using various methods, including panel regression with fixed effects, panel quantile regressions, a panel vector autoregression (PVAR) model,...

A well-documented finding is that explicitly using jumps cannot efficiently enhance the predictability of crude oil price volatility. To address this issue, we find a phenomenon, "momentum of jumps" (MoJ), that the predictive ability of the jump component is persistent when forecasting the oil...