Knowledge that Transforms

This paper estimates consumption and GDP tail risk dynamics over the long run (1900–2020). Our predictive approach circumvents the scarcity of large macroeconomic crises by exploiting a rich information set covering 42 countries. This flexible approach does not require asset price information and can thus serve as a benchmark to evaluate the empirical validity of rare disaster models. Our estimates covary with asset prices and forecast future stock returns, in line with theory. A calibration disciplined by our estimates supports the prediction that macroeconomic tail risk drives the equity premium.

We develop a general equilibrium model of self-fulfilling bank runs. The key novelty is the way in which the banking system’s assets and liabilities are connected. Banks issue loans to entrepreneurs who sell goods to households, which in turn pay for the goods by redeeming bank deposits. The return on bank assets is thus contingent on households being able to withdraw their deposits. In a run, not all households that wish to consume manage to withdraw, since part of banks’ cash reserves end up in the hands of households without consumption needs. This misallocation of liquidity lowers revenues of entrepreneurs and bank asset returns, thereby rationalising the run. Interventions that restrict redemptions in a run can be self-defeating due to their negative effect on demand in goods markets. We show how runs can sometimes be prevented with combinations of deposit freezes and redemption penalties as well as with the provision of emergency liquidity.

We provide strong evidence of a countercyclical sensitivity of the stock market to major macroeconomic announcements. The most notable cyclical variation takes place within expansions: sensitivity is largest early in an expansion and essentially zero late in an expansion. By exploiting the comovement pattern between stocks and bonds around announcements, we show that the stock market sensitivity is large when the cash flow component of news is least offset by news about future risk-free rates. Observed fluctuations in stock sensitivities can be attributed to shifting perceptions of monetary policy responsiveness.

A critical question facing speculators contemplating to trade on private information is whether their signal has already been priced in by the market. In our model, speculators assess the novelty of their information based on recent price movements, and market makers are aware that speculators might be trading on stale news. An asymmetric response to past price movements ensues: after price increases, buy volume – because it may result from stale news trading – has a lower price impact than sell volume (and vice versa after price decreases). Consequently, return skewness is negatively related to lagged returns. We find strong support for these and other predictions using a comprehensive sample of US stocks.

We study the optimal execution problem in a principal–agent setting. A client contracts to purchase from a dealer. The dealer hedges, buying from the market, creating temporary and permanent price impact. The client chooses a contract, which specifies payment as a function of market prices; hidden action precludes conditioning on the dealer’s hedging trades. We show the first-best benchmark is theoretically achievable with an unrestricted contract set. We then consider weighted-average-price contracts, which are commonly used. In the continuous-time limit, the optimal weighting entails a constant density at interior times and discrete masses at the extremes.

Brazil initiated a major credit expansion program through government banks in 2011. The program primarily targeted public sector workers with offers of payroll-backed loans. Using individual-level administrative data we find that the program led to a 15 percentage point rise in debt to initial income for public sector workers. We develop a new method for estimating workers' expected income growth, and show that “consumption smoothing” cannot explain the rise in consumer borrowing. Instead, the evidence supports “consumption binging”: less financially sophisticated workers borrowed more at high real interest rates, and experienced both higher consumption volatility and lower average consumption.

We find that central bank reserves injected by QE crowd out bank lending. We estimate a structural model with cross-sectional instrumental variables for deposit and loan demand. Our results are determined by the elasticity of loan demand and the impact of reserve holdings on the cost of supplying loans. The reserves injected by QE raise loan rates by 7.4 basis points, and each dollar of reserves reduces bank lending by 7.7 cents. Our results imply that a large injection of central bank reserves has the unintended consequence of crowding out bank loans because of bank balance sheet costs.

We investigate how access to robo-advisors impacts the financial investment and welfare of less-wealthy investors. We leverage a quasi-experiment where a major U.S. robo-advisor significantly expands access by reducing its account minimum, increasing participation by middle-class investors but not the poor. A benchmark model calibrated to portfolio-level data rationalizes this increase: middle-class investors want sophisticated investing but cannot achieve it themselves. Their welfare rises moderately, driven by advanced features like multi-dimensional glide-paths and additional priced risk factors. Middle-age investors gain three times more than millennials. Our results reveal novel margins of demand for robo-advisors, helping explain their sustained growth.

We survey thousands of affluent American investors to examine the relationship between personalities and investment decisions. The Big Five personality traits correlate with investors' beliefs about the stock market and economy, risk preferences, and social interaction tendencies. Two personality traits, Neuroticism and Openness, stand out in their explanatory power for equity investments. Investors with high Neuroticism and those with low Openness tend to allocate less investment to equities. We examine the underlying mechanisms and find evidence for both standard channels of preferences and beliefs and other nonstandard channels. We show consistent out-of-sample evidence in representative panels of Australian and German households.

We develop a structural credit risk model, which allows us to price equity/credit indices and their options through the asset dynamics of index constituents. We estimate the model via MLE and find that equity and credit index option prices are well explained out-of-sample. Contrary to recent empirical findings, the two option markets are not inconsistently priced through the lens of our model. Returns on both options, while extreme, do not indicate any evidence of mispricing. Our analysis suggests that jointly addressing the pricing of various instruments requires properly attributing three different sources of systematic risk: asset, variance, and jump risks.