We present evidence of significant bias in event studies that investigate the effect of U.S. monetary policy on U.S. stock prices. To overcome this bias, we propose a new identification method based on the "Impossible Trinity" theory which argues that an economy with a fixed exchange rate and...

In the present paper the negative impact of interest rates on stock returns will be estimated for the European economies. Data are monthly during the year 2008 and cover the following countries: Belgium, France, Germany, Greece, Ireland, Italy, Netherlands, Portugal and Spain. The elaboration of...

This paper studies the dynamic relationship between the Jordanian output and other macroeconomics variables such as inflation, interest rate and stock returns. It employs the Vector Auto Regressive (VAR) approach method of Lee (1992) to analyze the relationship and dynamic interaction among...

Financial markets have experienced unprecedented transformations, signs of which have emerged since the late 1970s. In recent years substantial consolidation occurred. In response to changes in macroeconomic variables, such as GDP, industrial production, inflation and the political business...

The European Central Bank (ECB), as part of its forward-looking strategy, needs high-quality financial market statistical indicators as a means to facilitate evidence-based and sound decision-making. Such indicators include timely market intelligence and information to gauge investors'...

Stock-bond correlation is considered an important input for multi-asset portfolio construction. While there has been much research on US stockbond correlation, less work has focused on stock-bond correlations in other countries, their relationship to each other, and their common macroeconomic...

We provide an innovative methodological contribution to the measurement of returns on infrequently traded assets using a novel approach to repeat-sales regression estimation. The model for price indices we propose allows for correlation with other markets, typically with higher liquidity and...

In this paper we apply cointegration and Granger-causality analyses to construct linear and neural network error-correction models for an Austrian Initial Public Offerings IndeX (IPOXATX). We use the significant relationship between the IPOXATX and the Austrian Stock Market Index ATX to forecast...

This study sheds new light on the question of whether or not sentiment surveys, and the expectations derived from them, are relevant to forecasting economic growth and stock returns, and whether they contain information that is orthogonal to macroeconomic and financial data. I examine 16...

We examine the relation between cryptocurrency returns and two blockchain characteristics, computing power and network size. We show that cryptocurrency prices are cointegrated with computing power and network. Further, cryptocurrency returns have positive and significant risk exposures to...