Journal of Finance最新文献

We use a large cross section of equity returns to estimate a rich affine model of equity prices, dividends, returns, and their dynamics. Our model prices dividend strips of the market and equity portfolios without using strips data in the estimation. Yet model-implied equity yields closely match yields on traded strips. Our model extends equity term-structure data over time (to the 1970s) and across maturities, and generates term structures for various equity portfolios. The novel cross section of term structures from our model covers 45 years and includes several recessions, providing a novel set of empirical moments to discipline asset pricing models.

The pricing of carbon transition risk is central to the debate on climate-aware investments. Emissions are tightly linked to sales and are available to investors only with significant lags. The positive carbon return, or brown-minus-green return differential, documented in previous studies arises from forward-looking firm performance information contained in emissions rather than a risk premium in ex ante expected returns. After accounting for the data release lag, carbon returns turn negative in the United States and insignificant globally. Developed markets experience lower carbon returns due to intense climate concern shocks, while countries with stringent climate policies exhibit higher carbon returns.

We provide a simple model of investment by a firm funded with debt and equity and empirical evidence to demonstrate that, once we control for the debt overhang problem with credit spreads, asset volatility is an unambiguously positive signal for investment, while equity volatility sends a mixed signal: Elevated volatility raises the option value of equity and increases investment for financially sound firms, but exacerbates debt overhang and decreases investment for firms close to default. Our study provides a simple unified understanding of the structural and empirical relationships between investment, credit spreads, equity versus asset volatility, leverage, and Tobin's $�q$.

We study the impact of rising mortgage rates on mobility and labor reallocation. Using individual-level credit record data and variation in the timing of mortgage origination, we show that a 1 percentage point decline in the difference between mortgage rates locked in at origination and current rates reduces moving by 9% overall and 16% between 2022 and 2024, and this relationship is asymmetric. Mortgage lock-in also dampens flows in and out of self-employment and the responsiveness to shocks to nearby employment opportunities that require moving, measured as wage growth within a 50- to 150-mile ring and instrumented with a shift-share instrument.

We show that utility tokens can limit the rent-seeking activities of two-sided platforms with market power while preserving efficiency gains due to network effects. We model platforms where buyers and sellers can meet to exchange services. Tokens serve as the sole medium of exchange on a platform and can be traded in a secondary market. Tokenizing a platform commits a firm to give up monopolistic rents associated with the control of the platform, leading to long-run competitive prices. We show how the threat of entrants can incentivize developers to tokenize and discuss cases where regulation is needed to enforce tokenization.

We propose a novel way to estimate a portfolio's abnormal price, the percentage gap between price and the present value of dividends computed with a chosen asset pricing model. Our method, based on a novel identity, resembles the time-series estimator of abnormal returns, avoids the issues in alternative approaches, and clarifies the role of risk and mispricing in long-horizon returns. We apply our techniques to study the cross-section of price levels relative to the capital asset pricing model (CAPM) and find that a single characteristic, adjusted value, provides a parsimonious model of CAPM-implied abnormal price.