Knowledge that Transforms

Abstract Both in the USA and in the Euro area, bank supervision is the joint responsibility of local and central supervisors. I study a model in which local supervisors do not internalize as many externalities as a central supervisor. Local supervisors are more lenient, but banks also have weaker incentives to hide information from them. These two forces can make a joint supervisory architecture optimal, with more weight put on centralized supervision when cross-border externalities are larger. Conversely, more centralized supervision endogenously encourages banks to integrate more cross-border. Due to this complementarity, the economy can be trapped in a suboptimal equilibrium with either too little or too much central supervision, when a superior equilibrium would be achievable.

Abstract We identify the effects of the Basel III macroprudential tool Counter-Cyclical Capital Buffer on mortgage lending. Using the first dataset on responses from multiple banks to each household, we find no evidence of explicit rationing. But as the CCyB applied only to mortgages, banks with higher mortgage specialization or lower capital cushions raise prices by an extra eight basis points. Bank level data then show that this allows them to slow their mortgage growth and rebuild capital cushions. While market-wide mortgage growth did not slow down significantly, the composition of mortgage suppliers thus moved to previously less exposed banks.

Abstract Using NYSE short-sale order data, we investigate whether short sellers’ informational advantage is related to firm earnings and analyst-related events. With a novel decomposition method, we find that while these fundamental event days constitute only 12% of sample days, they account for over 24% of the overall underperformance of heavily shorted stocks. Importantly, short sellers use both public news and private information to anticipate news regarding earnings and analysts. Shorting’s predictive ability remains significant after controlling for information in analyst actions and displays no reversal patterns, indicating that short sellers know more than analysts, and the nature of their information is long term.

Abstract By analyzing the portfolio allocations of target date funds (TDFs), we document that the observed durations of TDF portfolios are inconsistent with the durations predicted by classical portfolio theory. We call this stylized fact the duration puzzle. We investigate to what extent several extensions of classical portfolio theory can explain the duration puzzle. More specifically, we consider the impact of human capital, inflation risk, and portfolio restrictions on the duration of the optimal portfolio. We find that it is difficult to explain the duration puzzle, especially for individuals aged between 35 and 65 years.

Abstract We introduce a novel strategy to predict monthly equity premia that is based on extracted news from more than 700,000 newspaper articles, which were published in The New York Times and Washington Post between 1980 and 2018. We propose a flexible data-adaptive switching approach to map a large set of different news-topics into forecasts of aggregate stock returns. The information that is embedded in our extracted news is not captured by established economic predictors. Compared with the prevailing historical mean between 1999 and 2018, we find large out-of-sample (OOS) gains with an ROOS2 of 6.52% and sizeable utility gains for a mean–variance investor. The empirical results indicate that geopolitical news are at times more valuable than economic news to predict the equity premium and we also find that forecasting gains arise in down markets.