Knowledge that Transforms

ABSTRACT We examine decentralization of digital platforms through tokenization as an innovation to resolve the conflict between platforms and users. By delegating control to users, tokenization through utility tokens acts as a commitment device that prevents a platform from exploiting users. This commitment comes at the cost of not having an owner with an equity stake who, in conventional platforms, would subsidize participation to maximize the platform's network effect. This trade‐off makes utility tokens a more appealing funding scheme than equity for platforms with weak fundamentals. The conflict reappears when nonusers, such as token investors and validators, participate on the platform.

ABSTRACT We show that over the past half‐century, innovative disruptions were central to understanding corporate defaults. In a given year, industries experiencing abnormally high venture capital or initial public offering activity subsequently see higher default rates, higher segment exits by conglomerates, and higher yields on bonds issued by the firms in these industries. Overall, we find that disruption is a broad phenomenon, negatively affecting incumbent firms across the spectrum of age, valuation, and levers, with the exception of very large and low‐leverage firms, in line with our central hypothesis.

ABSTRACT Angel investor tax credits are used globally to spur high‐growth entrepreneurship. Exploiting their staggered implementation in 31 U.S. states, we find that they increase angel investment yet have no significant impact on entrepreneurial activity. Two mechanisms explain these results: crowding out of alternative financing and low sensitivity of professional investors to tax credits. With a large‐scale survey and a stylized model, we show that low responsiveness among professional angels may reflect the fat‐tailed return distributions that characterize high‐growth startups. The results contrast with evidence that direct subsidies to firms have positive effects, raising concerns about promoting entrepreneurship with investor subsidies.

ABSTRACT Failing to account for transaction costs materially impacts inferences drawn when evaluating asset pricing models, biasing tests in favor of those employing high‐cost factors. Ignoring transaction costs, Hou, Xue, and Zhang (2015, Review of Financial Studies , 28, 650–705) q ‐factor model and Barillas and Shanken (2018, The Journal of Finance , 73, 715–754) six‐factor models have high maximum squared Sharpe ratios and small alphas across 205 anomalies. They do not, however, come close to spanning the achievable mean‐variance efficient frontier. Accounting for transaction costs, the Fama and French (2015, Journal of Financial Economics , 116, 1–22; 2018, Journal of Financial Economics , 128, 234–252) five‐factor model has a significantly higher squared Sharpe ratio than either of these alternative models, while variations employing cash profitability perform better still.

ABSTRACT Governments regulate debt collectors to protect consumers from predatory practices. These restrictions may lower repayment, reducing the supply of mainstream credit and increasing demand for alternative credit. Using individual credit record data and a difference‐in‐differences design comparing consumers in states that tighten restrictions on debt collection to those in neighboring states that do not, I find that restricting collections reduces access to mainstream credit and increases payday borrowing. These findings provide new evidence of substitution between alternative and mainstream credit and point to a trade‐off between shielding consumers from certain collection practices and pushing them into higher cost payday lending markets.

ABSTRACT The response of corporate bond credit spreads to three exogenous macro shocks—oil supply, investment‐specific technology, and government spending—is large, significant, and a mirror image of macroeconomic activity. This countercyclicality is driven largely by credit risk premia and translates into significant return predictability. Equity risk premia exhibit similar responses, providing external validity. Information rigidities and leverage play a key role in the transmission of the shocks. Since causal evidence linking macro shocks to credit markets is scarce and recent work highlights the real effects of credit fluctuations, our findings contribute to understanding the joint dynamics of credit markets and the macroeconomy.

ABSTRACT We study the causal effect of liquidity constraints on individual labor market outcomes by exploiting the 1992 mortgage reform in Denmark, which for the first time allowed homeowners to borrow against housing equity for nonhousing purposes. Following the reform, liquidity‐constrained homeowners increased debt levels and had higher earnings growth and lower employment rates. The option to borrow against housing equity enabled liquidity‐constrained individuals to move to high‐wage jobs and invest in valuable human and physical capital. The results imply that relaxing household liquidity constraints during recessions can create better job matches, potentially increasing earnings and output in the longer run.

ABSTRACT Commercial loan valuations crucially depend on accurate loan income, but underwritten income on commercial mortgage‐backed securities (CMBS) loans is commonly overstated relative to actual property income. Consistent with these differences being originator‐specific, income overstatement in CMBS 2.0 deals varies widely and persistently across originators, is priced by originators, is related across property types within an originator, is predictable ex ante, and is accompanied by inflation of past financials. Risk retention and associated regulation had no discernible effect on income overstatement. Originator income overstatement is highly predictive of pre‐ and COVID‐period loan distress. Overall, recent market stresses reveal large systemic differences in underwriting standards across originators.

ABSTRACT Are market experts prone to heuristics, and do these heuristics transfer across buying and selling domains? We investigate this question using a unique data set of institutional investors with portfolios averaging $573 million. A striking finding emerges: While there is evidence of skill in buying, selling decisions underperform substantially, even relative to random‐selling strategies. This holds despite the similarity between the two decisions in frequency, substance, and consequences for performance. Evidence suggests an asymmetric allocation of cognitive resources such as attention can explain the discrepancy: We document a systematic, costly heuristic process for selling but not for buying.

ABSTRACT We document a rapid increase in retail trading in options in the United States. Facilitated by payment for order flow (PFOF) from wholesalers executing retail orders, retail trading recently reached over 60% of total market volume. Nearly 90% of PFOF comes from three wholesalers. Exploiting new flags in transaction‐level data, we isolate wholesaler trades and build a novel measure of retail options trading. Our measure comoves with equity‐based retail activity proxies and drops significantly during U.S. brokerage platform outages and trading restrictions. Retail investors prefer cheaper, weekly options with average bid‐ask spread of 12.6%, and lose money on average.