We study how risk management through hedging affects firms and competition among firms in the life insurance industry, an industry with over 7 trillion in assets and over 1,000 private and public firms. We examine firms after a staggered state-level reform that reduces the costs of hedging by granting derivatives superpriority in case of insolvency. We show that firms that are likely to face costly

We study the contribution of banks and nonbanks to cyclical fluctuations in the supply of syndicated loans. We find that a reduction in nonbank lending explains most of the contraction in syndicated credit and the associated employment losses during the Global Financial Crisis, while banks’ contribution is small. Looking over multiple cycles, we find nonbanks’ credit supply is roughly three times as

Financial transaction taxes, or generally transaction costs, are salient in derivatives markets and seldom studied in equilibrium models. We study a tractable model with proportional transaction costs where agents trade a derivative with nonlinear payoffs to hedge nontraded endowments. We show that trade is sustained in an equilibrium with transaction costs only if there is sufficient heterogeneity

I find that foreign multinational firms engage in tax-motivated income shifting out of the United States. The analysis uses novel data on foreign-owned U.S. subsidiaries as well as variation in foreign countries’ tax rates and controlled foreign corporation rules. Foreign multinational firms primarily rely on tax-motivated transfer pricing to shift income out of the United States, and the aggregate

This paper explores implications of weak identification in common ‘long memory’ and recent ‘rough’ approaches to modeling volatility dynamics of financial assets. We unveil an asymptotic near-observational equivalence between a long memory model with weak autoregressive dynamics and a rough model with a near-unit autoregressive root. Standard methods struggle to distinguish them, and conventional asymptotics

Higher-order beliefs—beliefs about others’ beliefs—may be important for trading behavior and asset prices but have received little systematic empirical examination. Examining more than 20 years of evidence from the Robert Shiller Investor Confidence surveys, we find that investors’ higher-order beliefs provide substantial motivations for nonfundamental speculation–taking a stock market position that

The U.S. stock market’s return during the first month of a quarter correlates strongly with returns in future months, but the correlation is negative if the future month is the first month of a quarter, and positive if it isn’t. These correlations offset, consistent with the well-known near-zero unconditional autocorrelation, yet they are pervasive, present across industries and countries. The pattern

We develop a tractable dynamic contracting framework to study bank bail-in regimes. In the presence of a repeated monitoring problem, the optimal bank capital structure combines standard debt, which induces liquidation and provides strong incentives, and bail-in debt, which restores solvency but provides weaker incentives. Given fire sales, an optimal policy response entails joint regulation: a bail-in

We study the impact of uncertainty on optimal contracting in a multidivisional firm. Headquarters contract with division managers to induce effort. Uncertainty creates endogenous disagreement, thereby aggravating moral hazard. By hedging uncertainty, headquarters design incentive contracts that reduce disagreement and lower incentive provision costs, thereby promoting effort. Because hedging uncertainty

I show that investor composition affects bond price dynamics and capital allocation during crises. Using large-scale holdings data and within-firm ownership variation across near-identical bonds, I causally identify bond returns’ investor composition elasticities. Corporate bonds held predominantly by insurers rather than mutual funds suffer milder losses in downturns: increasing insurer holdings by

This paper proposes a top-down linear option pricing model that unifies the pricing of different option contracts not by assuming common dynamics but by imposing common pricing on each risk source in proportion to decentralized risk estimates. The model generates significantly better pricing performance than existing bottom-up models. Its high-dimensional risk structure effectively explains the options

We present evidence that loan allocations and loan terms are closely linked to the strength of social connections between bank and borrower regions. Lending increases with social connectedness, particularly in the presence of strong screening incentives. If connectedness is high, banks discriminate between borrowers more, the terms of originated loans are more borrower friendly, and loan performance

We present a model rationalizing the economic value of digital tokens for launching peer-to-peer platforms. By using the blockchain to transparently distribute tokens before the platform launches, a token sale overcomes later coordination failures between the platform’s users. This result follows from forward induction reasoning, under which the costly and observable action of token acquisition credibly

We provide experimental evidence of a positive memory bias that affects individuals’ beliefs, decisions to reinvest, and overconfidence in the stock market. Individuals overremember positive investment outcomes of chosen assets and underremember negative ones. Based on their memories, subjects form overly optimistic beliefs about their investment, reinvest too much, and become overconfident about their

We measure popular sentiment toward finance by applying a large language model to millions of books published in eight countries over hundreds of years. We extensively validate this measure both internally and externally. We document persistent differences in finance sentiment across countries despite ample time-series variation. Books written in the languages of more capitalist countries discuss finance

We develop an economic model to compare equilibrium security of Proof-of-Work (PoW) versus Proof-of-Stake (PoS) blockchains. We derive general conditions to determine when PoW blockchains are more secure than otherwise equivalent PoS blockchains and vice versa. Applying real-world parameter values to these conditions, we demonstrate that PoS blockchains are more secure than otherwise equivalent PoW

I study the real effects of centralized derivative markets using the staggered introduction of futures contracts for different steel products in the United States. Employing a difference-in-differences strategy, I find that the arrival of centralized futures markets improves price transparency and risk management in the underlying product market: price dispersion decreases and steel producers increase

We show a negative effect of opioid prescriptions on subsequent individual employment among employers in our sample using doctor-opioid-prescribing propensity as our instrument. This finding has implications for firms that must now contend with lower local labor supply. We find a negative relationship between opioid prescriptions and subsequent establishment growth. However, firms respond to labor

We present a novel methodology for the out-of-sample forecast of the equity premium. Our predictive slope coefficient is a conservative constant that has a lower bias than the zero slope employed by the historical average, but has the same variance. We demonstrate that, theoretically and empirically, our method dominates the historical average in forecast performance. Our methodology establishes a

In an investment experiment, we show variations in information afect beliefs and decision-making within the information-beliefs-decisions chain. Subjects observe the time series of a risky asset and a signal that, in random rounds, helps predict returns. Subjects form extrapolative forecasts following a signal they perceive as useless, and their investment decisions underreact to their beliefs. If

In the United States, a significant number of criminal defendants are held in pretrial detention and face substantial financial burdens. Matching individual-level criminal case records to household-level financial data, we exploit the quasi-random assignment of court commissioners to study how pretrial detention affects household solvency. We find that pretrial detention results in higher rates of

This paper documents a striking fact: a narrow window around Fed meetings captures the entire secular decline in U.S. Treasury yields. Yield movements outside this window are transitory and wash out over time. This is surprising because the forces behind the secular decline are thought to be independent of monetary policy. Long-term bond yields decline when the Fed cuts the short rate and when the

We examine the optimal financing of infrastructure when governments can expropriate rents from private sector firms that manage infrastructure. While private firms need incentives to implement projects well, governments need incentives to limit expropriation. This double moral hazard limits the willingness of outside investors to fund infrastructure projects. Optimal financing contracts involve government

Firms enter new sectors by either building on their resources or buying existing companies. Using French administrative data, we propose a measure of human capital distance between a firm and a sector of entry. Using a shift-share instrument, we show that firms build in close sectors and buy in distant sectors in terms of human capital distance. Firms build by hiring new workers, which becomes increasingly

Using new SEC data, we study fund derivative use and its impact on performance. Despite small portfolio weights, derivatives contribute largely to fund returns. Contrary to prior research, we find most employ derivatives to amplify, not hedge, equity returns. Using machine learning to classify funds’ derivative strategies reveals high specializations linked to information-related trading, liquidity

I show that memory-induced attention can distort prices in financial markets. I exploit rigid earnings announcement schedules to identify which firms are associated in investors’ memory. Firms with randomly overlapping earnings announcements are associated in memory because many investors experience them in the same context. Months later, when only one of the two firms announces earnings, this context

We show that widely used macroprudential regulations that rely on historical cost accounting (HCA) to insulate banks’ balance sheets from financial market volatility significantly affect the transmission of monetary policy onto bank lending. Using detailed supervisory data from Italian banks, we find that HCA mutes the transmission of quantitative easing and other monetary policies that affect the

We study the corporate-loan pricing decisions of a major, systemic bank during the Greek financial crisis. A unique aspect of our data set is that we observe both the actual interest rate and the “break-even rate” (BE rate) of each loan, as computed by the bank’s own loan-pricing department (in effect, the loan’s marginal cost). We document that low-BE-rate (safer) borrowers are charged significant

We investigate the predictive power of loan spreads for forecasting business cycles, specifically focusing on more constrained, intermediary-reliant firms. We introduce a novel loan-market-based credit spread constructed using secondary corporate loan-market prices over the 1999 to 2023 period. Loan spreads significantly enhance the prediction of macroeconomic outcomes, outperforming other credit-spread

The second special issue on big data in finance showcases advancements in research related to data of large size, high dimension, and complex structure since the first NBER/RFS big data conference. The papers published in this next chapter address some questions that were proposed in the initial special issue in 2021. Other papers are more directly connected to recent developments in the markets. We

Mutual funds investing in illiquid corporate bonds actively manage Treasury positions to buffer redemption shocks. This liquidity management practice can transmit non-fundamental fund flow shocks onto Treasuries, generating excess return volatility. Consistent with this hypothesis, we find that Treasury excess return volatility is positively associated with bond fund ownership, and this pattern is

Using a semisupervised topic model on 7 million New York Times articles spanning 160 years, we test whether topics of media discourse predict future stock market excess returns to test rational and behavioral hypotheses about market valuation of disaster risk. Media discourse data address the challenge of sample size even when disasters are rare. Our methodology avoids look-ahead bias and addresses

The availability of big data and analytics expertise provides insurers with informational advantages over policyholders in estimating risk. We study competition between heterogeneously informed insurers, showing that their information may or may not be revealed in equilibrium. We find that all equilibria are profitable and that noninformative equilibria entail risk pooling and possibly efficiency.

We introduce a novel nonparametric bootstrap for the yield curve that is agnostic to the true factor structure of interest rates. We deconstruct the yield curve into primitive objects, with weak cross-sectional and time-series dependence, that serve as building blocks for resampling the data. We analyze the properties of the bootstrap for mimicking salient features of the data and conducting valid

I exploit a Dutch reform in the regulatory discount curve that makes the liabilities of pension funds and insurance companies (P&Is) more sensitive to changes in 20-year interest rates but less so to longer maturity rates. Following the reform, P&Is reduced their longest maturity bond holdings but increased those with 20-year maturities, steepening the long end of the yield curve. Using the reform

We offer new evidence on the relationship between competition and innovation that overcomes two measurement difficulties compromising the extant literature: aggregation at either firm level (or higher) of innovative activity, and the mediating influence of distance-to-technological-frontier. FDA awards of Breakthrough Therapy Designations (BTDs) on specific drugs, instrument stochastic unleveling of

This paper presents an approach for pricing gold from investors’ perspective. The model is based on no-arbitrage principles with minimal structural assumptions. There is no need to specify investor preferences. When fitted to match 10-year real U.S. Treasury rates, the model can replicate the salient fluctuations in the time series of gold prices since 2007. The model is also able to capture key patterns

We study the role of brokers in selection markets. We find broker-clients in the Canadian mortgage market are observationally different from branch-clients. They finance larger loans with more leverage and longer amortization. We build and estimate a model of mortgage demand to disentangle three possible explanations for these riskier product choices: (1) selection on observables, (2) unobserved borrower

We quantify the cost of pledging collateral for small businesses by exploiting a regulatory quirk of the SBA disaster lending program in which firms are exempt from posting collateral if their loan size is below a threshold. Firms bunch their loans below the threshold, and the resultant distortion in the loan size distribution reveals the magnitude of the collateral cost. The collateral cost is substantial

Variation in monthly metro area house prices unrelated to expected rents clouds the information about future rents in price-rent ratios and lagged changes in house prices. The variation in house prices unrelated to expected rents is, however, correlated across areas, and the problem is mitigated by measuring rent growth regression variables net of their monthly cross-section (across-area) means. This

We derive optimal characteristics of contribution rates into defined contribution pension plans based on consumption-savings theory. Contribution rates should increase with age and decrease with the balance-to-income ratio. Using Swedish registry data, we show that on average, individuals save according to those principles. However, almost half of the population behaves hand-to-mouth and does not undo

We propose the currency hedging channel that connects countries’ external imbalances to their exchange rate behavior. We present a model in which investors increase their currency hedging during periods of financial distress in proportion to their net foreign asset exposure. This behavior coupled with constrained financial intermediation explains observed relationships between gradually adjusting external

When a macroeconomic shock arrives, variation in household balance sheet health (captured by the presence of financial distress, or “FD”) leads to differential access to credit and hence a distribution in consumption responses. As we document, though, over the past two recessions, households in prior FD also experienced macroeconomic shocks more intensely than others, leading to a distribution of shock

Under standard assumptions, individuals and the government are indifferent between traditional tax-deferred retirement accounts and “front-loaded” (Roth) accounts. Adding investment fees to this benchmark, individuals are still indifferent, but the government is not. We show that under weak conditions firms charge equal percent fees under both systems, yielding higher dollar fees under Traditional

I show that shocks to financial intermediaries supplying hedging instruments to corporations have real effects. I exploit a quasi-natural experiment in South Korea in 2010, where regulations required banks to hold enough capital for taking foreign exchange derivatives (FXD) positions. Using variation in exposure to this regulation across banks, I find that the regulation caused a reduction in FXD supply

Single women invest less in risky assets than do single men. This paper analyzes the determinants of the “gender investment gap” based on a structural life-cycle framework. The model can rationalize the gender investment gap without gender heterogeneity in preferences. Rather, lower deterministic income and larger household sizes shift the composition of single women toward poorer households that invest

This paper examines whether capital structure is irrelevant for enterprise value and investment when investors care about environmental, social, and governance issues, which we refer to as “ESG-Modigliani-Miller” (ESG-MM). Theoretically, we show that ESG-MM holds with linear pricing and additive ESG. ESG-MM means that issuing low-yielding green bonds does not lower the overall cost of capital because

We analyze changes to mutual funds’ self-declared benchmarks using hand-collected data from funds’ prospectuses. Under existing rules, funds can freely change their benchmark indexes and, implicitly, the historical returns to which they compare their past performance. Funds exploit this loophole by adding (dropping) indexes with lower (higher) past returns, thereby materially improving the appearance

This paper introduces a new metric, α, to benchmark the performance of individual private equity funds. Our metric is substantially less sensitive to noise in fund cash flows compared to the popular public market equivalent (PME) and its generalization (GPME), while having the same aggregate pricing implications as GPME. For a large data set of fund cash flows, α estimates have much lower standard

We survey retail investors at an online bank to study how beliefs about the autocorrelation of aggregate stock returns shape investment decisions measured in administrative account data. Individuals’ beliefs exhibit substantial heterogeneity and predict trading responses to market movements. We inform half of our respondents that, historically, the autocorrelation was close to zero, which causes them

Previous research shows that incentives to meet short-term earnings targets can cause firms to increase share buybacks, leading to cuts in investments and employment. Using plant-level census data, we find that incentives to engage in earnings-per-share-motivated buybacks result in lower productivity at both the plant and firm level. We attribute this productivity drop to two mechanisms: reduced investment

We study the dynamics of trading volume and bid-ask spread using a multiperiod trading model with oligopolistic market makers. Traders smooth out their trading even though they are not strategic, and thus trading persists after the arrival of information or liquidity shocks. Traders act quickly on their private information while postponing hedging trades until later periods. The market power of market

We measure the causal impact of reductions in benchmark interest rates on the renegotiation and performance of distressed loans, using 2000s subprime mortgages as a laboratory. Subprime borrowers treated with larger benchmark rate reductions benefited from increased debt-renegotiation probabilities and lower debt-service payments. Modification rates were similar among current and delinquent borrowers

We analyze effects of tacit collusion in a dynamic general equilibrium model of oligopolistic sectors with capital investment and real frictions. Through their effects on equilibrium- and off-equilibrium stock prices, fundamental shocks affect incentives for defection from tacit collusion, amplifying the interaction between the real economy and financial markets as well as firms’ risk exposure. The

We show that commercial mortgage borrowers behave opportunistically to attempt to obtain principal reductions. We develop a model in which lenders cannot perfectly observe borrowers’ use values and renegotiation is costly. We then exploit a tax rule change that reduced the cost of renegotiation. Consistent with the model predictions, borrowers with high private use values of the property are more likely

We decompose corporate bond and equity index returns into duration-matched government bond returns and the excess returns over this duration-matched counterfactual, which we term duration-adjusted returns. Compared with previously used excess return definitions (ie, returns in excess of Treasury bills), our decomposition leads to markedly different return patterns and asset pricing implications. In

Can a socially responsible fund (SRF) improve social welfare while maximizing assets under management? We consider a two-sector model integrating financial intermediation, emissions’ negative externalities, and investors’ social preferences with regard to value alignment and impact. In scenarios with a high proportion of value-aligned investors, the SRF invests in clean sectors and compels recipients

We highlight the limitations of using cumulative advertising expenses as an input measure of brand value. Using two output measures—Interbrand’s data and a novel text-based measure—we find that an equal-weighted portfolio of top brands yields an annual abnormal return of 3%. The excess returns are driven by companies that develop their brands internally. Intangible factors proposed in the literature

Chapter 7 is the most popular bankruptcy system for U.S. firms and individuals. Chapter 7 professional fees are substantial. Theoretically, high fees might be an unavoidable cost of incentivizing professionals. I test this empirically. I study trustees, the most important professionals in chapter 7, who liquidate assets in exchange for legally mandated commissions. Exploiting kinks in the commission

Relative performance evaluation (RPE) intensifies competitive pressure by tying executive compensation to the profits of rivals. We show that these contracts make loan syndication harder by reducing banks’ willingness to participate in loans underwritten by banks named in their RPE contracts. Lead arranger banks, which are more frequently named in RPE, hold larger shares of the loans they syndicate