Take-up at the Federal Reserve’s Overnight Reverse Repo Facility (ON RRP) increased from a few billion dollars in January 2021 to around $2.6 trillion at the end of December 2022. In this post, based on a recent Staff Report, we explain how the supply of U.S. Treasury bills (T-bills) affects the decision of money market mutual funds (MMFs) to invest at the facility. We show that MMFs responded to a reduction in T-bill supply by increasing their take-up at the ON RRP, helping to explain the increased overall take-up.
Bond Funds in the Aftermath of SVB’s Collapse
March 2023 will rightfully be remembered as a period of major turmoil for the U.S. banking industry. In this post, we go beyond banks to analyze how fixed-income, open-end funds (bond funds) fared in the days after the start of the banking crisis. We find that bond funds experienced net outflows each day for almost three weeks after the run on Silicon Valley Bank (SVB), and that these outflows were experienced diffusely across the entire segment. Our preliminary evidence suggests that the outflows from bond funds may have been an unintended consequence of the exceptional measures taken to strengthen the balance sheet of banks during this time.
The Nonbank Shadow of Banks
Financial and technological innovation and changes in the macroeconomic environment have led to the growth of nonbank financial institutions (NBFIs), and to the possible displacement of banks in the provision of traditional financial intermediation services (deposit taking, loan making, and facilitation of payments). In this post, we look at the joint evolution of banks—referred to as depository institutions from here on—and nonbanks inside the organizational structure of bank holding companies (BHCs). Using a unique database of the organizational structure of all BHCs ever in existence since the 1970s, we document the evolution of NBFI activities within BHCs. Our evidence suggests that there exist important conglomeration synergies to having both banks and NBFIs under the same organizational umbrella.
The New York Fed DSGE Model Perspective on the Lagged Effect of Monetary Policy
This post uses the New York Fed DSGE model to ask the question: What would have happened to interest rates, output, and inflation had the Federal Reserve been following an average inflation targeting (AIT)-type reaction function since 2021:Q2, when inflation began to rise—as opposed to keeping the federal funds rate at the zero lower bound (ZLB) until March 2022, and then raising it aggressively thereafter? We show that actual policy was more accommodative in 2021 than implied by the AIT reaction function and then more contractionary in 2022 and beyond. On net, the lagged effect of monetary policy on the level of GDP, when measured relative to the counterfactual, has been positive throughout the forecast horizon, due to the initial boost associated with keeping the fed funds rate near zero in 2021.
A Bayesian VAR Model Perspective on the Lagged Effect of Monetary Policy
Over the last few years, the U.S. economy has experienced unusually high inflation and an unprecedented pace of monetary policy tightening. While inflation has fallen recently, it remains above target, and the economy continues to expand at a robust pace. Does the resilience of the U.S. economy imply that monetary policy has been ineffectual? Or does it reflect that policy acts with “long and variable lags” and so we haven’t yet observed the full effect of the monetary tightening that has already taken place? Using a Bayesian vector autoregressive (BVAR) model, we show that economic activity has, indeed, been substantially stronger than would have been anticipated considering the rapid policy tightening. Still, the model expects a significant slowdown in 2024-25, even though short-term interest rates are forecasted to fall.
Banks versus Hurricanes
The impacts of hurricanes analyzed in the previous post in this series may be far-reaching in the Second District. In a new Staff Report, we study how banks in Puerto Rico fared after Hurricane Maria struck the island on September 17, 2017. Maria makes a worst case in some respects because the economy and banks there were vulnerable beforehand, and because Maria struck just two weeks after Hurricane Irma flooded the island. Despite the immense destruction and disruption Maria caused, we find that the island’s economy and banks recovered surprisingly quickly. We discuss the various protections—including homeowners’ insurance, federal aid, and mortgage guarantees—that helped buttress the island’s economy and banks.
Flood‑Prone Basement Housing in New York City and the Impact on Low‑ and Moderate‑Income Renters
Hurricane Ida, which struck New York in early September 2021, exposed the region’s vulnerability to extreme rainfall and inland flooding. The storm created massive damage to the housing stock, particularly low-lying units. This post measures the storm’s impact on basement housing stock and, following the focus on more-at-risk populations from the two previous entries in this series, analyzes the attendant impact on low-income and immigrant populations. We find that basements in select census tracts are at high risk of flooding, affecting an estimated 10 percent of low-income and immigrant New Yorkers.
Small Business Recovery after Natural Disasters in the Fed’s Second District
A previous Liberty Street Economics post found that minority-owned small businesses in the Federal Reserve’s Second District have been particularly vulnerable to natural disasters. Here we focus on the aftermath of disasters (such as hurricanes, floods, wildfires, droughts, and winter storms) and examine disparities in the ability of these firms to reopen their businesses and access disaster relief. Our results indicate that while white- and minority-owned firms remain closed for similar durations, the latter are more reliant on external funding from government and private sources to cope with disaster losses.
How Do Natural Disasters Affect Small Business Owners in the Fed’s Second District?
In this post, we follow up on the previous Liberty Street Economics post in this series by studying other impacts of extreme weather on the real sector. Data from the Federal Reserve’s Small Business Credit Survey (SBCS) shed light on how small businesses in the Second District are impacted by natural disasters (such as hurricanes, floods, wildfires, droughts, and winter storms). Among our findings are that increasing shares of small business firms in the region sustain losses from natural disasters, with minority-owned firms suffering losses at a disproportionately higher rate than white-owned firms. For many minority-owned firms, these losses make up a larger portion of their total revenues. In a companion post, we will explore the post-disaster recovery of small firms in the Second District: how long do they remain closed and what are their sources of disaster relief?
Flood Risk and Firm Location Decisions in the Fed’s Second District
The intensity, duration, and frequency of flooding have increased over the past few decades. According to the Federal Emergency Management Agency (FEMA), 99 percent of U.S. counties have been impacted by a flooding event since 1999. As the frequency of flood events continues to increase, the number of people, buildings, and agriculture exposed to flood risk is only likely to grow. As a previous post points out, measuring the geographical accuracy of such risk is important and may impact bank lending. In this post, we focus on the distribution of flood risk within the Federal Reserve’s Second District and examine its effect on establishment location decisions over the last two decades.