Knowledge that Transforms

We conduct the first large-scale study of how different stakeholder groups assess corporate culture and quantify the economic implications of those differences. We employ generative AI to analyze analyst reports, call transcripts, and employee reviews, and organize the extracted information into a knowledge graph that links a culture type to its perceived causes and effects. We demonstrate that the divergence in different stakeholder groups' assessment of culture aligns with their distinct roles and economic incentives. Moreover, we show that analysts' culture analyses are incorporated into stock recommendations and target prices, and investors react to divergence in stakeholders' assessment of culture.

We present results from a field experiment that introduced digital payroll accounts to unbanked factory workers to examine how inexperienced consumers learn to use a new financial technology. We find that exposure to payroll accounts leads to increased account use, accelerated learning, and avoidance of common consumer protection risks. Those receiving electronic wage payments gradually build trust in the technology, learn to use accounts without assistance, and avoid illicit fees. Using experimental variation in assignment to bank versus mobile money accounts, we show that these impacts are concentrated in mobile money accounts, the newer, more complex, and less trusted financial technology.

We introduce a simple measure of informed trading risk, , the residual to liquidity quote‐improvement‐to‐deterioration ratio times . When facing with increased informed trading risk, liquidity providers compete less to provide liquidity, reducing their undercutting activity. Reductions in undercutting leave footprints in trade and quote data that are captured by . Unlike prior measures, is easy to construct, can be computed intraday, and is orthogonal to liquidity. The measure outperforms prominent existing alternatives in reflecting the extent of information asymmetry before earnings announcements, predicting unscheduled press releases, and identifying informed trading spillovers around them.

We study the asset allocation and investment performance of U.S. private foundations that support the charitable sector. Large foundations generated positive risk‐adjusted returns before 2008, driven by early access to private equity and venture capital funds, but have underperformed since. The median foundation underperforms by more than 100 bps. Foundations with concentrated stock holdings achieve higher returns but assume more risk. Due to the constraints imposed by the 5% minimum spending rule and accommodating monetary policy, foundations increase risk‐taking and reach for yield. Over time, a conservative asset allocation decreases real wealth, reducing charitable giving.

Using granular data covering both regulated (brokerage‐financed) and unregulated (shadow‐financed) margin accounts in China, we provide novel evidence on retail investors' margin trading behavior and its price implications. We first show that retail investors' decisions to lever up in stock trading despite the hefty borrowing cost is related to their lottery preferences. We then show that margin borrowing affects investors' trading behavior—investors are more likely to liquidate their holdings as they approach margin calls. Finally, we show that margin‐induced trading aggregates to affect asset prices and contributes to shock spillovers across stocks (e.g., from lottery stocks to nonlottery stocks).

Using information in returns, we identify the stochastic process of consumption. We find that aggregate consumption reacts over multiple quarters to innovations spanned by financial markets. This persistent component accounts for over a quarter of consumption variation. These shocks command a large and significant risk premium, driving a large share of stocks' and a small yet significant fraction of bonds' time‐series variation. Nevertheless, we find no support for stochastic volatility of consumption driving time‐varying risk premia. Finally, an otherwise standard recursive utility model based on our estimated process explains equity premium and risk‐free rate puzzles with low‐risk aversion.

I propose a dynamic equilibrium model of rental markets that endogenously gives rise to defaults on rents and evictions. In the model, eviction protections make it harder to evict delinquent renters, but higher default costs to landlords increase equilibrium rents. I quantify the model using micro data on evictions, rents, and homelessness. I find that stronger eviction protections exacerbate housing insecurity and lower welfare. The key empirical driver of this result is the persistent nature of risk underlying rent delinquencies. Rental assistance reduces housing insecurity and improves welfare because it lowers the likelihood that renters default ex ante.

Republicans start more firms than Democrats. In a sample of 40 million party‐identified Americans between 2005 and 2017, we find that 5.5% of Republicans and 3.7% of Democrats become entrepreneurs. This partisan entrepreneurship gap is time‐varying—Republicans increase their relative entrepreneurship during Republican administrations and decrease it during Democratic administrations, amounting to a partisan reallocation of 170,000 new firms over our 13‐year sample. We find sharp changes in partisan entrepreneurship around the elections of President Obama and President Trump, with the strongest effects among the most politically active partisans: those that donate and vote.