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.
The New York Fed engages with individuals, households and businesses in the Second District and maintains an active dialogue in the region. The Bank gathers and shares regional economic intelligence to inform our community and policy makers, and promotes sound financial and economic decisions through community development and education programs.
Ryan Bush, Adam Kirk, Antoine Martin, Phil Weed, and Patricia Zobel
Since the financial crisis, banking regulators around the world have been intensely aware of liquidity risk and, in part as a response, have introduced the Basel III liquidity regulation. Today, the world’s largest banks hold substantial liquidity buffers comprising both securities and central bank reserves, to satisfy internal liquidity stress tests and minimum quantitative regulatory requirements. The appropriate level of liquidity buffers depends on the likely outflows in a market stress situation. In this post, we use public data to provide a rough estimate of stressed outflows that the largest banks would face and consider how they could meet these outflows.
Banks traditionally provide loans that are funded mostly by deposits and thereby create liquidity, which benefits the economy. However, since the loans are typically long-term and illiquid, whereas the deposits are short-term and liquid, this creation of liquidity entails risk for the bank because of the possibility that depositors may “run” (that is, withdraw their deposits on short notice). To mitigate this risk, regulators implemented the liquidity coverage ratio (LCR) following the financial crisis of 2007-08, mandating banks to hold a buffer of liquid assets. A side effect of the regulation, however, is a reduction in liquidity creation by banks subject to LCR, as we find in our recent paper.
In our previous post, we discussed the meaning of the term “credit allocation” and how it relates to the Federal Reserve’s holdings of agency mortgage-backed securities (MBS). We concluded that the Fed’s MBS holdings do not pose significant credit risk but that the Fed does influence the relative market price of credit when it purchases agency MBS, and this indirectly influences decisions by investors. Today, we take the next step and discuss how the Fed’s MBS purchases affect the U.S. economy and, in particular, how the effect of MBS purchases can differ from the effect of purchases of Treasury securities.
It is sometimes said that the Federal Reserve should not engage in “credit allocation.” But what does credit allocation actually mean? And how do current Fed policies affect the allocation of credit? In this post, we describe two separate ideas often associated with credit allocation. The first idea is that the Fed should not take credit risk, which taxpayers would ultimately have to bear. The second idea is that the Fed’s actions should not influence the flow of credit to particular sectors. We consider whether the Fed’s holdings of agency mortgage-backed securities (MBS) could affect the allocation of credit. In a companion post, we discuss how the economic effects of the Fed’s MBS holdings compare with the economic effects of more traditional holdings.
Bill Dudley will soon turn over the keys to the vault—so to speak. But before his tenure ends after nine years as president of the New York Fed, Liberty Street Economics sought to capture his parting reflections on economic research, FOMC preparation, and leadership. Publications editor Trevor Delaney recently caught up with Dudley. This transcript has been lightly edited.
Donald P. Morgan, Maxim Pinkovskiy, and Davy Perlman
Editor's note: The original version of this post misstated the share of the population that is unbanked for several states. The table, interactive chart, and related text have been corrected. These changes did not alter our conclusion that across states, the share of the population that is unbanked is not positively correlated with the share living in banking deserts.
Unbanked households are often imagined to live in urban neighborhoods devoid of banks, but is that really the case? Our map of U.S. banking deserts reveals that most are not in urban areas, where financial exclusion may be endemic, but in actual deserts—largely in the sparsely populated, rural West. Across states, we find that the share of the population in a banking desert is unrelated to the share that is unbanked. If distance from a bank is not what causes financial exclusion, then motivating banks to locate closer to the unbanked may not promote financial inclusion.
Michele Cavallo, Marco Del Negro, W. Scott Frame, Jamie Grasing, Benjamin A. Malin, and Carlo Rosa
In the wake of the global financial crisis, the Federal Reserve dramatically increased the size of its balance sheet—from about $900 billion at the end of 2007 to about $4.5 trillion today. At its September 2017 meeting, the Federal Open Market Committee (FOMC) announced that—effective October 2017—it would initiate the balance sheet normalization program described in the June 2017 addendum to the FOMC’s Policy Normalization Principles and Plans.
In the spirit of this season of year-end lists of accomplishments, Liberty Street Economics offers a roundup of our most viewed posts. Our readers continued to gravitate toward timely, topical posts; our most popular explained how the Fed manages its enlarged balance sheet—a major focus of the FOMC, Congress, markets, and economists. Prompted by reader questions in response to their first post, the authors also penned a follow-up post. Another hit this year described an innovative indicator of economic growth—night light intensity measured via satellite—and used it to fact-check official Chinese growth estimates.
Antoine Martin, Susan McLaughlin, and Jordan Pollinger
The Federal Reserve Bank of New York releases data on a number of market operations, reference rates, monetary policy expectations, and Federal Reserve securities portfolio holdings. These data are released at different times, for different types of securities or rates, and for different audiences. In an effort to bring this information together in a single, convenient location, the New York Fed developed the Markets Data Dashboard, which was launched today.
A year has passed since Beverly Hirtle was named director of research for the Federal Reserve Bank of New York. Before assuming that position, Bev played many roles at the Bank over the last thirty years, including serving as the deputy chair of the Federal Reserve Model Oversight Group responsible for designing and implementing the Comprehensive Capital Analysis and Review and Dodd-Frank Act stress tests. But what was it like to become the head of the Research and Statistics Group and director of research? Hirtle offers some insight into her latest role.
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.
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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