Knowledge that Transforms

Abstract We analyze a multiyear, multicountry entrepreneurship survey with more than one million observations to identify startups with low and high growth potential. We confirm the validity of these ex ante measures with ex post firm-level information on employment growth. We find that negative aggregate financial shocks reduce all startup types, but their effect is significantly stronger for startups with high growth potential, especially when GDP growth is low. Our results uncover a new composition of entry channel that significantly reduces employment growth and is potentially important for explaining slow recoveries after financial crises.

Abstract We study how small and medium enterprise (SME) lenders react to information about their competitors’ contracting decisions. To isolate this learning from lenders’ common reactions to unobserved shocks to fundamentals, we exploit the staggered entry of lenders into an information-sharing platform. Upon entering, lenders adjust their contract terms toward what others offer. This reaction is mediated by the distribution of market shares: lenders with higher shares or that operate in concentrated markets react less. Thus, contract terms are shaped not only by borrower or lender fundamentals but also by the interaction between information availability and competition.

Abstract Permissionless blockchains require a protocol to generate consensus. Many prominent permissionless blockchains employ Proof-of-Work (PoW) for that purpose, but PoW possesses significant shortcomings. Various alternatives have been proposed. This paper provides the first formal economic model of the most famous alternative, Proof-of-Stake (PoS), and establishes conditions under which PoS generates consensus. A sufficiently modest reward schedule not only implies the existence of an equilibrium in which consensus obtains as soon as possible but also precludes a persistent forking equilibrium. The latter result arises because PoS, unlike PoW, requires that validators are also stakeholders.

Abstract We show that machine learning methods, in particular, extreme trees and neural networks (NNs), provide strong statistical evidence in favor of bond return predictability. NN forecasts based on macroeconomic and yield information translate into economic gains that are larger than those obtained using yields alone. Interestingly, the nature of unspanned factors changes along the yield curve: stock- and labor-market-related variables are more relevant for short-term maturities, whereas output and income variables matter more for longer maturities. Finally, NN forecasts correlate with proxies for time-varying risk aversion and uncertainty, lending support to models featuring both channels.

Abstract We document four secular trends about U.S. mortgage origination by traditional and FinTech lenders after the 2008-2009 financial crisis. First, since 2011, the overall number, size, and approval rate of small and medium-sized loans have been decreasing over time, relative to large loans. Second, the largest lenders redistribute their lending the most. Third, this loan-size redistribution of credit increases in the size of the lender. Fourth, the effects are stronger for mortgages further away from the conforming loan limit(s) in both directions. We argue that the supply of credit drives these secular trends, and we assess several potential economic mechanisms.

Abstract This paper examines whether ETFs are a unique source of corporate bond fragility. Relative to mutual funds, ETFs cater to high-liquidity-demand investors, facilitate positive feedback strategies, and transmit outflows to corporate bonds via near-proportional trading. Comparing yield spread changes of bonds from the same issuer, we show that ETFs create flow-induced pressure during the Taper Tantrum, a period of market turmoil. Redemptions used to maintain the relative price efficiency of the largest and most liquid ETFs lead to significantly higher yield spreads for 4 months before reverting. The pattern indicates ETFs amplify the effects of negative fundamental shocks.

Abstract We show that constraints on using leverage for foreign positions can act as an international investment barrier. Guided by an international CAPM with leverage constraints, we use observed stock prices to measure the variation in the magnitude and the implicit cost of such cross-border funding barriers. Our measure helps explain the dynamics of global market integration and, in particular, its reversals documented in the literature, but not explained by other international investment barriers. We confirm our results using alternative financial integration measures, international capital flows, and institutional portfolio holdings.

Abstract We provide evidence that culture is a source of pricing bias. In a sample of 1.9 million auction transactions in 49 countries, paintings by female artists sell at an unconditional discount of 42.1%. The gender discount increases with measures of country-level gender inequality—even in artist fixed effects regressions. Our results are robust to accounting for potential gender differences in art characteristics and their liquidity. Evidence from two experiments supports the argument that women’s art may sell for less because it is made by women. However, the gender discount reduces over time as gender equality increases.

Abstract This paper revisits the relationship between firm performance and CEO turnover. Instead of classifying turnovers into forced and voluntary, we introduce performance-induced turnover, defined as turnover that would not have occurred had performance been “good.” We document a close turnover-performance link and estimate that 38%–55% of turnovers are performance induced. This is significantly more than the number of forced turnovers, though the two types of turnovers are highly correlated. Compared to the predictions of Bayesian learning models, learning about CEO ability appears to be slow, and boards act as if CEO ability (or match quality) was subject to frequent shocks.

Abstract Investors’ perception of performance is biased because the relevant measure, returns, is rarely displayed. Major indices ignore dividends, thereby underreporting market performance. Newspapers are more pessimistic on ex-dividend days, consistent with mistaking the index for returns. Market betas should track returns, but track prices more than dividends, creating predictable returns. Mutual funds receive inflows for “beating the S&P 500” price index based on net asset value (also not a return). Investors extrapolate market indices, not returns, when forming annual performance expectations. Displaying returns by default would ameliorate these issues, which arise despite high attention and agreement on the appropriate measure.