Using variance risk premiums (VRPs) nonparametrically calculated from equity markets in selected major developed economies and emerging market economies (EMEs) over 2007 - 2015, we document the correlation of VRPs across the markets and examine whether equity fund flows work as a path through...

The study adds an empirical outlook on the predicting power of using data from the future to predict future returns. The crux of the traditional Capital Asset Pricing Model (CAPM) methodology is using historical data in the calculation of the beta coefficient. This study instead uses a battery...

What were the economic benefits and costs of preventing a stock market meltdown during the summer of 2015 by the Chinese government intervention? We answer this question by estimating the value creation for the stocks purchased by the government between the period starting with the market crash...

The KOSPI (Korea Composite Stock Price Index) 200 options are one of the most actively traded derivatives in the world. This paper empirically examines (a) the statistical properties of the Korea's representative implied volatility index (VKOSPI) derived from the KOSPI 200 options and (b) the...

World financial centers have an impact on the economies around the world. This particularly applies for the US equity market. Transactions which are performed on the US market define market trends in most of the world's financial markets, the only question that arises "is to what extent"....

This paper aims to forecast the Market Risk premium (MRP) in the US stock market by applying machine learning techniques, namely the Multilayer Perceptron Network (MLP), the Elman Network (EN) and the Higher Order Neural Network (HONN). Furthermore, Univariate ARMA and Exponential Smoothing...

This paper examines the evidence regarding predictability in the market risk premium using artificial neural networks (ANNs), namely the Elman Network (EN) and the Higher Order Neural network (HONN), univariate ARMA and exponential smoothing techniques, such as Single Exponential Smoothing (SES)...

This paper presents evidence of linkages across equity markets in the following transition economies: Russia, Ukraine, Poland and Czech Republic from beginning of January 2005 till the end of December 2014. We apply a multivariate asymmetric EGARCH model. Empirical results indicate significant...

This paper examines the time-varying conditional correlations of daily European equity market returns during the Irish sovereign debt crisis. A dynamic conditional correlation (DCC) multivariate GARCH model is used to estimate to what extent the collapse of Irish equity markets and subsequent...

This study aims to explore the relationship between market integration, foreign portfolio equity holding and inflation rates on international stock market linkages between Pakistan and India. To measure stock equity interlinkage, we constructed international co-movement index through rolling...