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In May 2022, Sam Khater—chief economist for Freddie Mac—argued that a surge in first-time buyers had been an important driver of the housing market the previous year. In contrast, using data from the New York Fed Consumer Credit Panel, we find that the share of home purchases by first-time buyers fell in 2021. This suggests that other factors were important to the rapid increase in house prices in 2021.
The collapse of Silicon Valley Bank (SVB) and Signature Bank (SB) has raised questions about the fragility of the banking system. One striking aspect of these bank failures is how the runs that preceded them reflect risks and trade-offs that bankers and regulators have grappled with for many years. In this post, we highlight how these banks, with their concentrated and uninsured deposit bases, look quite similar to the small rural banks of the 1930s, before the creation of deposit insurance. We argue that, as with those small banks in the early 1930s, managing the information around SVB and SB’s balance sheets is of first-order importance.
Recent events have highlighted the importance of understanding the distribution and composition of funding across banks. Market participants have been paying particular attention to the overall decline of deposit funding in the U.S. banking system as well as the reallocation of deposits within the banking sector. In this post, we describe changes in bank funding structure since the onset of monetary policy tightening, with a particular focus on developments through March 2023.
Job gains exceeded output growth in 2022, bringing GDP per worker back down to its trend level after being well above for an extended period. Employment is consequently set to grow slower than output going forward, as it typically does. Breaking down the GDP per worker by industry, though, shows a significant divergence between the services and goods-producing sectors. Productivity in the services sector was modestly above its pre-pandemic path at the end of last year, suggesting room for relatively strong employment growth, with the gap particularly large in the health care, professional and business services, and leisure and hospitality sectors. Productivity in goods-producing industries, though, was depressed, implying that payroll growth is set to lag that sector’s GDP growth.
The New York Fed’s Treasury Market Practices Group (TMPG) recently released a consultative white paper on clearing and settlement processes for secured financing trades (SFT) involving U.S. Treasury securities. The paper describes the many ways that Treasury SFTs are cleared and settled— information that may not be readily available to all market participants. It also identifies potential risk and resiliency issues, and so promotes discussion about whether current practices have room for improvement. This work is timely given the SEC’s ongoing efforts to improve transparency and lower systemic risk in the Treasury market by increasing the prevalence of central clearing. In this post, we summarize the current state of clearing and settlement for Treasury SFTs and highlight some of the key risks described in the white paper.
This post presents an updated estimate of inflation persistence, following the release of personal consumption expenditure (PCE) price data for March 2023. The estimates are obtained by the Multivariate Core Trend (MCT), a model we introduced on Liberty Street Economics last year and covered most recently in a March post. The MCT is a dynamic factor model estimated on monthly data for the seventeen major sectors of the PCE price index. It decomposes each sector’s inflation as the sum of a common trend, a sector-specific trend, a common transitory shock, and a sector-specific transitory shock. The trend in PCE inflation is constructed as the sum of the common and the sector-specific trends weighted by the expenditure shares.
An often-overlooked aspect of flood-plain mapping is the fact that these maps designate stark boundaries, with households falling either inside or outside of areas designated as “flood zones.” Households inside flood zones must insure themselves against the possibility of disasters. However, costly insurance may have pushed lower-income households out of areas officially designated a flood risk and into physically adjacent areas. While not designated an official flood risk, Federal Emergency Management Agency (FEMA) and disaster data shows that these areas are still at considerable risk of flooding. In this post, we examine whether flood maps may have inadvertently clustered those households financially less able to bear the consequences of a disaster into areas that may still pose a significant flood risk.
A growing number of climate-related policies have been adopted globally in the past thirty years (see chart below). The risk to economic activity from changes in policies in response to climate risks, such as carbon taxes and green subsidies, is often referred to as transition risk. Transition risk can adversely affect the real economy through […]
The first post in this series discussed the potential exposure of banks to the open-end funds sector, by virtue of commonalities in asset holdings that expose banks to balance sheet losses in the event of an asset fire sale by these funds. In this post, we summarize the findings reported in a recent paper of ours, in which we expand the analysis to consider a broad cross section of non-bank financial institution (NBFI) segments. We unveil an innovative monitoring insight: the network of interconnections across NBFI segments and banks matters. For example, certain nonbank institutions may not have a meaningful asset overlap with banks, but their fire sales could nevertheless represent a vulnerability for banks because their assets overlap closely with other NBFIs that banks are substantially exposed to.
Non-bank financial institutions (NBFIs) have grown steadily over the last two decades, becoming important providers of financial intermediation services. As NBFIs naturally interact with banking institutions in many markets and provide a wide range of services, banks may develop significant direct exposures stemming from these counterparty relationships. However, banks may be also exposed to NBFIs indirectly, simply by virtue of commonality in asset holdings. This post and its companion piece focus on this indirect form of exposure and propose ways to identify and quantify such vulnerabilities.
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