This paper explores the impacts on an economy of a central bank changing the size and composition of its balance sheet. One of the ways in which such asset purchases could influence prices and demand is via portfolio balance effects. We develop and calibrate a simple OLG model in which...

This paper sheds new light on herding of institutional investors by using a unique database that identifies every transaction made by financial institutions in the German stock market. First, the analysis reveals that herding behavior of institutions occurs daily. Second, replication of the...

Using the Household Finance and Consumption Survey (HFCS), a large micro-level dataset on households’ wealth in fifteen euro area countries, this paper explores how households allocate their assets. We derive stylized facts on asset participation as well as levels of asset holdings and...

Using a unique data set that contains the complete ownership structure of the German stock market, we study the momentum and contrarian trading of different investor groups. Foreign investors and financial institutions, and especially mutual funds, are momentum traders, whereas private...

We study an investment experiment conducted with a representative sample of German households. Respondents invest in a safe asset and a risky asset whose return is tied to the German stock market. Experimental investments correlate with beliefs about stock market returns and exhibit desirable...

We theoretically show that there is a fundamental disconnect be- tween the disposition effect, i.e., investors’ tendency to sell winning assets too early and losing assets too late, and its common empirical measure, namely a positive difference between the proportion of gains and losses re-...

Extant literature consistently documents that investors tilt their domestic equity portfolios towards regionally close stocks (local bias). We hypothesize that individual investors’ local bias is not limited to the domestic sphere but instead also determines their international investment...