The Federal Reserve Bank of New York works to promote sound and well-functioning financial systems and markets through its provision of industry and payment services, advancement of infrastructure reform in key markets and training and educational support to international institutions.
When the U.S. Treasury sells a new security, the security is announced to the public, auctioned a number of days later, and then issued sometime after that. When-issued (WI) trading refers to trading of the new security after the announcement but before issuance. Such trading promotes price discovery, which may reduce uncertainty at auction, potentially lowering government borrowing costs. Despite the importance of WI trading, and the advent of Treasury trading volume statistics from the Financial Industry Regulatory Authority (FINRA), little is known publicly about the level of WI activity. In this post, we address this gap by analyzing WI transactions recorded in FINRA’s Trade Reporting and Compliance Engine (TRACE) database.
Gara Afonso, Marco Cipriani, Steph Clampitt, Haitham Jendoubi, Gabriele La Spada, and Will Riordan
Changes in the distribution of banks’ reserve balances are important since they may impact conditions in the federal funds market and alter trading dynamics in money markets more generally. In this post, we propose using the Lorenz curve and Gini coefficient as a new approach to measuring reserve concentration. Since 2013, concentration, as captured by the Lorenz curve and the Gini coefficient, has co-moved with aggregate reserves, decreasing as aggregate reserves declined (such as in 2015-18) and increasing as aggregate reserves increased (such as at the onset of the COVID-19 pandemic).
In prior research, we documented evidence suggesting that digital payment adoptions have accelerated as a result of the COVID-19 pandemic. While digitalization of payment activity improves data utilization by firms, it can also infringe upon consumers’ right to privacy. Drawing from a recent paper, this blog post explains how payment data acquired by firms impacts market structure and consumer welfare. Then, we discuss the implications of introducing a central bank digital currency (CBDC) that offers consumers a low-cost, privacy-preserving electronic means of payment—essentially, digital cash.
Ivan T. Ivanov, Marco Macchiavelli, and João A.C. Santos
Natural disasters are usually associated with an increase in the demand for credit by both households and companies in the affected regions. However, if capacity constraints preclude banks from meeting the local increase in demand, the banks may reduce lending elsewhere, thus propagating the shock to unaffected areas. In this post, we analyze the corporate loan market and find that banks, particularly those with lower capital, reduce credit provisioning to distant regions unaffected by natural disasters. We also find that shadow banks only partially offset the reduction in bank credit, so borrowers in regions unaffected by natural disasters experience a decline in credit supply.
Andrew Haughwout, Donghoon Lee, Joelle Scally, and Wilbert van der Klaauw
Today, the New York Fed’s Center for Microeconomic Data reported that total household debt balances increased slightly in the third quarter of 2020, according to the latest Quarterly Report on Household Debt and Credit. This increase marked a reversal from the modest decline in the second quarter of 2020, a downturn driven by a sharp contraction in credit card balances. In the third quarter, credit card balances declined again, even as consumer spending recovered somewhat; meanwhile, mortgage originations came in at a robust $1.049 trillion, the highest level since 2003. Many of the efforts to stabilize the economy in response to the COVID-19 crisis have focused on consumer balance sheets, both through direct cash transfers and through forbearances on federally backed debts. Here, we examine the uptake of forbearances on mortgage and auto loans and its impact on their delinquency status and the borrower’s credit score. This analysis, as well as the Quarterly Report on Household Debt and Credit, is based on anonymized Equifax credit report data.
Kristian Blickle, Matteo Crosignani, Fernando Duarte, Thomas Eisenbach, Fulvia Fringuellotti, and Anna Kovner
The COVID-19 pandemic has led to significant changes in banks’ balance sheets. To understand how these changes have affected the stability of the U.S. banking system, we provide an update of four analytical models that aim to capture different aspects of banking system vulnerability.
The U.S. federal funds market played a central role in the financial system during the 2007-09 crisis, because it was the market which provided banks with immediate liquidity, even late in the day. Interpreting changes in fed funds rates is notoriously difficult, however, as many of the economic drivers behind the rates are simultaneously changing. In this post, I highlight results from a working paper which untangles the impact of these economic drivers and measures their respective effects on the marketplace using data over a sample period leading up to and during the financial crisis. The analysis shows that the spread between fed funds sold and bought widened because of increases in counterparty risk. Further, there was a large increase in the supply of cash into this market, suggesting that banks viewed fed funds as a relatively safe place to invest cash in a crisis environment.
Workers' remittances—funds that migrants send to their country of birth—are an important source of income for a number of economies in Latin America, with the bulk of these funds coming from the United States. Have these flows dried up, given the COVID-19 recession and resulting unprecedented job losses? We find that remittances initially faltered but rebounded in the summer months, performing better than during the last U.S. recession despite more severe job losses. Large government income support payments probably explain some of this resilience. Whether remittances continue to hold up is likely to depend on how quickly the U.S. job market recovers, particularly in hard-hit service industries.
Liberty Street Economics features insight and analysis from New York Fed economists working at the intersection of research and policy. Launched in 2011, the blog takes its name from the Bank’s headquarters at 33 Liberty Street in Manhattan’s Financial District.
The editors are Michael Fleming, Andrew Haughwout, Thomas Klitgaard, and Asani Sarkar, all economists in the Bank’s Research Group.
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The views expressed are those of the authors, and do not necessarily reflect the position of the New York Fed or the Federal Reserve System.
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