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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).
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.
Antoine Martin, James J. McAndrews, Ali Palida, and David Skeie
Since 2008, the Federal Reserve has dramatically increased the supply of bank reserves, effectively adopting a floor system for monetary policy implementation. Since then, the behavior of short-term money market rates has been at times puzzling. In particular, short-term rates have been surprisingly firm in recent months, despite the large increase in reserves by the Fed as a part of its response to the coronavirus pandemic. In this post, we provide evidence that both the supply of reserves and the supply of short-term Treasury securities are important factors for explaining short-term rates.
Gara Afonso, Marco Cipriani, Gabriele La Spada, and Will Riordan
Aggregate reserves declined from nearly $3 trillion in August 2014 to $1.4 trillion in mid-September 2019, as the Federal Reserve normalized its balance sheet. This decline came to a halt in September 2019 when the Federal Reserve responded to turmoil in short-term money markets, with reserves fluctuating around $1.6 trillion in the early months of 2020. Then, in response to the COVID-19 pandemic, the Federal Reserve dramatically expanded its balance sheet, both directly, through outright purchases and repurchase agreements, and indirectly, as a consequence of the facilities to support market functioning and the flow of credit to the real economy. In this post, we characterize the increase in reserves between March and June 2020, describing changes to the distribution and concentration of reserves.
The coronavirus pandemic has prompted the Federal Reserve to pledge to purchase Treasury securities and agency mortgage-backed securities in the amount needed to support the smooth market functioning and effective transmission of monetary policy to the economy. But some market participants have questioned whether something more might not be required, including possibly some form of direct yield curve control. In the first half of the 1940s the Federal Open Market Committee (FOMC) sought to manage the level and shape of the Treasury yield curve. In this post, we examine what can be learned from the FOMC’s efforts of seventy-five years ago.
Gara Afonso, Fabiola Ravazzolo, and Alessandro Zori
How do changes in the rate that the Federal Reserve pays on reserves held by depository institutions affect rates in money markets in which the Fed does not participate? Through which channels do changes in the so-called administered rates reach rates in onshore and offshore U.S. dollar money markets? In this post, we answer these questions with the help of an interactive map that guides us through the web of interconnected relationships between the Fed, key market players, and the various instruments in the U.S. dollar funding market, highlighting the linkages across the short-term financial products that form this market.
Alyssa Cambron, Marco Cipriani, Joshua Jones, Romen Mookerjee, Scott Sherman, Brett Solimine, and Timothy Wessel
In this Liberty Street Economics post, Cipriani and coauthors discuss changes in the calculation of the Overnight Bank Funding Rate (OBFR), the reason for including selected deposits, and the likely impact of the change on the OBFR’s published value.
The price impact of a trade derives largely from its informational content. The “workup” mechanism, a trading protocol used in the U.S. Treasury securities market, is designed to mitigate the instantaneous price impact of a trade by allowing market participants to trade additional quantities of a security after a buyer and seller first agree on its price. Nevertheless, workup trades are not necessarily free of information. In this post, we assess the role of workups in price discovery, following our recent paper in the Review of Asset Pricing Studies (an earlier version of which was released as a New York Fed staff report).
As a consequence of the Federal Reserve’s large-scale asset purchases from 2008-14, banks’ reserve balances at the Fed have increased dramatically, rising from $10 billion in March 2008 to more than $2 trillion currently. In that new environment of abundant reserves, the FOMC put in place a framework for controlling the fed funds rate, using the interest rate that it offered to banks and a different, lower interest rate that it offered to non-banks (and banks). Now that the Fed has begun to gradually reduce its asset holdings, aggregate reserves are shrinking as well, and an important question becomes: How does a change in the level of aggregate reserves affect trading in the fed funds market? In our recent paper, we show that the answer depends not just on the aggregate size of reserve balances, as is sometimes assumed, but also on how reserves are distributed among banks. In particular, we show that a measure of the typical trade in the market known as the effective fed funds rate (EFFR) could rise above the rate paid on banks’ reserve balances if reserves remain heavily concentrated at just a few banks.
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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