This post presents an update of the economic forecasts generated by the Federal Reserve Bank of New York’s dynamic stochastic general equilibrium (DSGE) model. We describe very briefly our forecast and its change since September 2021.
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Marco Del Negro, Aidan Gleich, Shlok Goyal, Alissa Johnson, and Andrea Tambalotti
This post presents an update of the economic forecasts generated by the Federal Reserve Bank of New York’s dynamic stochastic general equilibrium (DSGE) model. We describe very briefly our forecast and its change since September 2021.
Michael Fleming, Frank Keane, and Daniel Weitz
On November 17, 2021, the New York Fed hosted the seventh annual Conference on the U.S. Treasury Market. The one-day event, held virtually, was co-sponsored by the U.S. Department of the Treasury, the Federal Reserve Board, the U.S. Securities and Exchange Commission (SEC), and the U.S. Commodity Futures Trading Commission (CFTC). The agenda featured one panel on the effects of sudden changes in investor positioning, and two panels discussing proposals to strengthen Treasury market resiliency and improve market intermediation from various public and private sector perspectives. Speeches touched on recommendations from a recent progress report by the Inter-Agency Working Group for Treasury Market Surveillance (IAWG), and efforts to improve market resilience by reforming market structure and regulation. Finally, a fireside chat discussed the importance of increasing diversity of experiences and perspectives within the public and private sectors.
Raphael Auer, Jon Frost, Michael Lee, Antoine Martin, and Neha Narula
In the past year, a number of central banks have stepped up work on central bank digital currencies (CBDCs – see map). For central banks, are CBDCs just a defensive reaction to private-sector innovations in money, or are they an opportunity for the monetary system? In this post, we consider several long-standing goals of central banks in their support and provision of retail payments, why and how central banks tackle these issues, and where CBDCs fit into the array of potential solutions.
Dean Parker and Moritz Schularick
The term spread is the difference between interest rates on short- and long-dated government securities. It is often referred to as a predictor of the business cycle. In particular, inversions of the yield curve—a negative term spread—are considered an early warning sign. Such inversions typically receive a lot of attention in policy debates when they […]
Jan J. J. Groen and Adam I. Noble
Despite China’s tighter financial policies and the Evergrande troubles, Chinese financial stress measures have been remarkably stable around average levels. Chinese financial conditions, though, are affected by global markets, making it likely that low foreign financial stress conditions are blurring the state of Chinese financial markets. In this post, we parse out the domestic component of a Chinese financial stress measure to evaluate the downside risk to future economic activity.
Marco Cipriani and Gabriele La Spada
In March 2020, U.S. dollar-denominated prime money market funds (MMFs) suffered heavy outflows as concerns about the COVID-19 pandemic increased in the United States and Europe. Investors redeemed their shares en masse not only from funds domiciled in the United States (“domestic”) but also from offshore funds. In this post, we use differences in the regulatory regimes of domestic and offshore funds to identify the impact of the redemption gates and liquidity fees recently introduced as part of MMF industry reforms in both the United States and Europe.
Ruchi Avtar, Rajashri Chakrabarti, and Kasey Chatterji-Len
This post concludes a three-part series exploring the gender, racial, and educational disparities of debt outcomes of college students. In the previous two posts, we examined how debt holding and delinquency behaviors vary among students of different race and gender, breaking up our analyses by level of degree pursued by the student. We found that Black and Hispanic students were less likely than white students to take on credit card debt, auto loans, and mortgage debt, but experienced higher rates of delinquency in each of these debt areas by the age of 30. In contrast, Black students were more likely to take out student debt and both Black and Hispanic students experienced higher rates of student debt delinquency. We found that Asian students broadly followed reverse patterns from Black and Hispanic students by age 30. They were more likely than white students to acquire mortgages and less likely to hold student debt, but their delinquency patterns were in general similar to those of white students. Women were less likely to hold an auto loan or mortgage and more likely to hold student debt by age 30, and in most cases their delinquency outcomes were indistinguishable from males. In this post, we seek to understand mechanisms behind these racial and gender disparities and examine the role of educational attainment in explaining these patterns.
Ruchi Avtar, Rajashri Chakrabarti, and Kasey Chatterji-Len
This post is the second in a three-part series exploring racial, gender, and educational differences in household debt outcomes. In the first post, we examined how the propensity to take out household debt and loan amounts varied among students by race, gender, and education level, finding notable differences across all of these dimensions. Were these disparities in debt behavior by gender, race, and education level associated with differences in financial stress, as captured by delinquencies? This post focuses on this question.
Ruchi Avtar, Rajashri Chakrabarti, and Kasey Chatterji-Len
Household debt has risen markedly since 2013 and amounts to more than $15 trillion dollars. While the aggregate volume of household debt has been well-documented, literature on the gender, racial and education distribution of debt is lacking, largely because of an absence of adequate data that combine debt, demographic, and education information. In a three-part series beginning with this post, we seek to bridge this gap. In this first post, we focus on differences in debt holding behavior across race and gender. Specifically, we explore gender and racial disparities in different types of household debt and delinquencies—for auto, mortgage, credit card, and student loans—while distinguishing between students pursuing associate’s (AA) and bachelor’s (BA) degrees. In the second post in this series, we investigate gender and racial disparities in delinquencies across these various kinds of consumer debt. We close with a third post where we try to understand some of the mechanisms behind differences in debt and delinquencies across gender and race.
Matteo Crosignani, Thomas Eisenbach, and Fulvia Fringuellotti
More than a year into the COVID-19 pandemic, the U.S. banking system has remained stable and seems to have weathered the crisis well, in part because of effects of the policy actions undertaken during the early stages of the pandemic. In this post, we provide an update of four analytical models that aim to capture different aspects of banking system vulnerability and discuss their perspective on the COVID pandemic. The four models, introduced in a Liberty Street Economics post in November 2018 and updated annually since then, monitor vulnerabilities of U.S. banking firms and the way in which these vulnerabilities interact to amplify negative shocks.
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