In this paper, we examine the evolution of the S&P500 returns volatility around market crashes using a Markov-Switching model. We find that volatility typically switches into the high volatility state well before a crash and remains in the high state for a considerable period of time after the...

In this paper, we examine the evolution of the S&P500 returns volatility around market crashes using a Markov-Switching model. We find that volatility typically switches into the high volatility state well before a crash and remains in the high state for a considerable period of time after the...

Bubbles are omnipresent in lab experiments with asset markets. But these experiments were (mostly) conducted in environments with only human traders. Today markets are substantially determined by algorithmic traders. Here we use a laboratory experiment to measure human trading behaviour changes...

This paper studies the impact of stock market development on cross country relative prices (the real exchange rate). A nonlinear relationship is uncovered in the cross section: prices and the stock market increase together in the beginning; then prices fall as the stock market continues to...

This study explores the role of short sale constraints in explaining the variation in premiums to Net Asset Value (NAV) in REIT pricing. We use proprietary information on short sales between June 2006 and September 2008 to examine how short sales and short sale constraints affect the variation...

Changes in the general level of prices and inflation have profound effects on asset prices. There are several reasons for these effects and the influence differs depending on the source of the inflation and whether it is expected or not. To understand these effects, it is important to clarify...

Market participants often invest in order to acquire information that pertains to the market itself (e.g. order flow) rather than to fundamentals. This enables them to infer more information from past trades. I show that agents trading on such information, typically high-frequency traders,...

A new high-frequency data set is used to estimate the Fed's impact on the level and volatility of stock prices while accounting for endogeneity and omitted variable biases and potential asymmetries. Results show that after addressing these issues, the effect of policy shocks on the level and...

We investigate the movements of the yield curve after the release of major U.S. macroeconomic announcements through the lenses of an arbitrage-free dynamic term structure model with macroeconomic fundamentals. Combining estimated yield responses obtained using high-frequency data with model...