A mixture innovation time-varying parameter VAR model is used to examine the impact of structural oil price shocks on U.S. stock market return. Time variation is evident in both the coefficients and the variance-covariance matrix. The standard deviations of the demand side structural shocks...

Empirical event studies estimate that Large Scale Asset Purchases (LSAP) push down long-term interest rates through the portfolio balance channel. However, since portfolio reallocation takes time to materialise, a longer horizon may be more appropriate to assess the effects of LSAP. With a...

We conduct a decomposition for the stock market return by incorporating the information from 124 macro variables. Using factor analysis, we estimate six common factors and run a VAR containing these factors and financial variables such as the market dividend yield and the T-bill rate. Including...

What is the link between stock returns and news about economic growth? Using consensus forecasts from the Philadelphia Fed's Survey of Professional Forecasters, I find that the univariate association between stock returns and GDP growth forecast surprises is indistinguishable from zero. While...

This study examines the relationship between corporate real estate (CRE) holdings and stock returns before and after the Global Financial Crisis (GFC). We find that (1) the United States and the United Kingdom show a negative relationship before the GFC and positive after the GFC. (2) Firms that...

I quantify the causal impact of macroeconomic uncertainty on time-varying expected returns. The exogenous timing of macroeconomic announcements provides an instrument for uncertainty. Using daily measures of macroeconomic uncertainty and expected equity market returns, I find announcements...

Understanding the factors that drive the stock market is more than an academic exercise. With a framework to understanding what that drives the overall market, business leaders are positioned to drive value their own businesses. While driving increases in shareholder value is one of the most...

In this paper we apply Random Matrix Theory (RMT) to study daily returns correlations of 83 companies that are part of the Chilean stock market during the period 2000 to 2011. We find that using RMT to identify statistically significant correlations within our sample of stocks significantly...

The arrival of new, unfamiliar, investment opportunities is often associated with "exuberant" movements in asset prices and real economic activity. During these episodes of high uncertainty, financial markets look at the real sector for signals about the profitability of the new investment...

Using quantitative data obtained from public available database, this paper discusses the difference between of the Brazilian GDP and the Brazilian Stock Exchange industry breakdown. I examined if, and to what extent, the industry breakdowns are similar. First, I found out that the Stock...