Monetary policy is widely understood to influence firms' investment decisions, but a new analysis from the Federal Reserve Bank of New York suggests the average effect obscures more than it reveals. The post, based on a recent Staff Report, finds that investment by most firms in most time periods responds little to changes in interest rates. Yet for a small subset of firms and quarters, the response is dramatic. This matters because policymakers and market participants often rely on average effects when assessing how rate changes transmit through the economy, potentially missing pockets of acute sensitivity that can shape capital spending in specific sectors or periods.
The analysis revisits a literature that estimates firm-level investment responses to monetary policy surprises, building on work by Ottonello and Winberry (2020). Monetary policy surprises are measured as changes in the federal funds rate implied by federal funds futures in a narrow window around policy announcements. Investment is defined as the growth rate in the capital stock at a quarterly frequency for publicly listed firms in Compustat. Rather than selecting a firm characteristic ex ante, the authors estimate the entire unconditional distribution of investment responses to monetary policy, which they abbreviate as RIMP. The result is a clustering regression framework that groups each firm in each period as a high or low responder.
The estimated distribution shows that all firms still cut investment when interest rates increase, as indicated by negative values across the horizontal axis. However, the magnitude is small for most observations. For about 5 percent of all firms and quarters, a monetary shock that raises the federal funds rate by 1 percentage point induces a 4 percentage point drop in the growth rate of capital. Decomposing the variance, the authors find that very little of the overall variation is common to all firms. A larger but still limited share is explained by permanent differences across firms. Most of the variation is within firms over time, meaning a firm can be highly responsive in one quarter and relatively unresponsive for several quarters thereafter.
The findings carry implications for how investors and analysts interpret monetary transmission. Small firms and young firms cut investment the most when faced with an interest rate hike, confirming earlier findings by Gertler and Gilchrist (1994) and Cloyne et al. (2024). The authors also find that these characteristics interact: small and young firms have the most negative RIMP. Other drivers studied in the Staff Report include debt maturity, with firms that have shorter debt maturity showing greater sensitivity. Because most of the variation is within firms over time rather than across firms, a firm's current balance-sheet profile may be a less reliable predictor of its future sensitivity than commonly assumed.
The analysis has clear limitations. It relies on publicly listed firms in Compustat, so private companies—which may face different financing constraints—are not captured. The evidence is drawn from a single source read in full, and the published post truncates some of the underlying Staff Report detail. The authors themselves emphasize that substantial variation cannot easily be linked to specific firm characteristics. What to watch is whether future work can identify the time-varying conditions that push a given firm into the high-sensitivity tail, and whether those conditions cluster in ways that amplify or dampen the aggregate investment response to policy.