Research Lab

How should an investor value financial data? The answer is complicated because it depends on the characteristics of all investors. We develop a sufficient statistics approach that uses equilibrium asset return moments to summarize all relevant information
about others’ characteristics. It can value data that is public or private, about one or many assets, relevant for dividends or for sentiment. While different data types, of course, have different valuations, heterogeneous investors also value the same data

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. We estimate that tax deferral increases demand for asset management services by $3.8 trillion, costing the government $23.4 billion in annual fees.

This paper theoretically and empirically investigates the effects of liquidity regulation on the banking system. We document that the current quantity-based liquidity rule has reduced banks’ liquidity risks. However, the mandated liquidity buffer appears to crowd out bank lending and lead to a migration of liquidity risks to banks that are not subject to liquidity regulation. These findings motivate a model of liquidity regulation with endogenous liquidity premiums and heterogeneous banks.

We propose a theory of banking in which banks cannot perfectly control deposit flows. Facing uninsurable loan and deposit shocks, banks dynamically manage lending, wholesale funding, deposits, and equity. Deposits create value by lowering funding costs. However, when the bank is undercapitalized and at risk of breaching leverage requirements, the marginal value of deposits can turn negative as deposit inflows, by raising leverage, increase the likelihood of costly equity issuance.

ASC 842, which requires balance sheet recognition of right-of-use (ROU) lease assets, resulted in a large increase in reported assets since 2019, thus impairing the time-series consistency of metrics that use assets (e.g., asset turnover). This paper shows that ROU assets can be estimated quite precisely using lease disclosure. Adding the estimated ROU asset for pre-ASC 842 observations substantially improves the ability of operating assets to explain sales. It also increases the ability of growth in operating assets to predict sales growth and explain analysts’ revenue growth forecasts.

Private equity was a bright spot in institutional investors’ portfolios last year. The asset class held up much better than public stocks, which were whipsawed by rising rates. Read the full article at the Financial Times.

We develop a novel technique to extract credit-relevant information from the text of quarterly earnings calls. This information is not spanned by fundamental or market variables and forecasts future credit spread changes. One reason for such forecastability is that our text-based measure predicts future credit spread risk and firm profitability. More firm- and call-level complexity increase the forecasting power of our measure for spread changes. Out-of-sample portfolio tests show the information in our measure is valuable for investors.

We identify model-free mispricing factors and relate them to global stock prices and investor beliefs. The factors are model-free as they measure variation in the relative prices of assets with the same cash ows. We design three factors to re ect the beliefs and capital ows of important clientele: investors in United States (US), developed, and emerging stock markets; and individuals and institutions. Together the three factors capture most (52%) of the systematic variation in price premiums of individual securities.