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The Cross‐Section of Household Preferences

Journal of Finance 2026
This paper estimates the cross‐sectional distribution of Epstein‐Zin preferences using the wealth and risky portfolio shares of a large panel of Swedish households. We find modestly heterogeneous risk aversion (standard deviation 0.97, median 7.50) and a meaningfully heterogeneous and right‐skewed time preference rate (TPR; standard deviation 7.31%, median 4.08%) and elasticity of intertemporal substitution (EIS; standard deviation 3.17, median 0.70). Risk aversion and the EIS are only very weakly negatively correlated. We estimate lower risk aversion for households with riskier labor income, and a higher TPR and lower EIS for households that enter our sample with low wealth.

Do Equity and Options Markets Agree about Volatility?

Journal of Finance 2026 open access
We derive tight pricing kernel restrictions from options with same‐day expiration (“0DTEs”). These restrictions concern the volatility of small and frequent asset price moves that the equity and options markets must agree on in a frictionless economy. Their violation leads to pseudo‐arbitrage opportunities, characterized by nontrivial reward‐to‐risk ratios over arbitrarily short horizons and achieved by a combined position in 0DTEs and the underlying asset. Empirically, we find no evidence of feasible pseudo‐arbitrage opportunities, as transaction costs, estimation risk, and short‐term volatility risk prevent investors from taking advantage of small and infrequent disagreements about volatility between equity and options markets.

M&As, Employee Costs, and Labor Reallocation

Journal of Finance 2026
Mergers are associated with large and persistent earnings declines for incumbent employees in target firms. Linking employer‐employee administrative data with information on merger activity in Brazil, I find the negative effects concentrate on employees who exit target firms and reflect displacement in the short run and wage declines in the long run. Low‐skilled, managerial, and older employees fare worse. Overall, I conclude that mergers are followed by substantial reallocation costs reflecting losses of firm‐specific wage premiums, matching inefficiencies, and industry‐specific human capital depreciation, with employees transitioning to lower paying firms considered to be of lower productivity and employment value.

Jay R. Ritter

Journal of Finance 2026 open access
Department of Finance, Insurance, and Real Estate at the Warrington College of Business.After transitioning to emeritus status in 2024, he became Director of The IPO Initiative at Florida

Learning to Navigate a New Financial Technology

Journal of Finance 2026
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.

Detecting Informed Trading Risk from Undercutting Activity

Journal of Finance 2026 81(4), 2109-2164 open access
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.