We explore the dynamic effects of news about a future technology improvement which turns out ex post to be overoptimistic. We find that it is difficult to generate a boom-bust cycle (a period in which stock prices, consumption, investment and employment all rise and then crash) in response to...

This paper studies the role of international investment funds in the transmission of global financial conditions to the euro area using structural Bayesian vector auto regressions. While cross-border banking sector capital flows receded significantly in the aftermath of the global financial...

This paper studies the impact of major ECB monetary policy announcements on the portfolio allocation of euro area fund investors, using daily data between 2012 and mid-2016, a period that includes a variety of unconventional measures. We distinguish between active portfolio reallocation, driven...

We examine the transmission of monetary policy via the euro area investment fund sector using a BVAR framework. We find that expansionary shocks are associated with net inflows and that these are strongest for riskier fund types, reflecting search for yield among euro area investors. Search for...

We study the dynamics of a Lucas-tree model with finitely lived agents who "learn from experience." Individuals update expectations by Bayesian learning based on observations from their own lifetimes. In this model, the stock price exhibits stochastic boom-and-bust fluctuations around the...

We provide evidence that changes in the equity price and volatility of individual firms (measures that approximate the definition of 'granular shock' given in Gabaix, 2010) are key to improve the predictability of aggregate business cycle fluctuations in a number of countries. Specifically,...

During 2005-2006, the Chinese government implemented a reform aimed at eliminating the so-called non-tradable shares (NTS) typically held by the State or by politically connected institutional investors that were issued at the early stage of financial market development. Our analysis, based on...

We study empirically how competition among high-frequency traders (HFTs) affects their trading behavior and market quality. Our analysis exploits a unique dataset, which allows us to compare environments with and without high-frequency competition, and contains an exogenous event - a tick size...

We study the effects on the stock market of a securities transaction tax (STT). In particular, we focus on the recent introduction of a STT in Italy. Indeed, a peculiarity of the Italian STT is that it only concerns stocks of corporations with a market capitalization above 500 million euros. We...

This paper empirically models China’s stock prices using conventional fundamentals: corporate earnings, risk-free interest rate, and a proxy for equity risk premium. It uses the estimated longrun stock price misalignments to date booms and busts, and analyses equity market reforms and excess...