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.
As the aggregate supply of reserves shrinks and large banks implement liquidity regulations, they may follow a variety of liquidity management strategies depending on their business models and the interest rate differences between alternative liquid instruments. For example, the banks may continue to hold large amounts of excess reserves or shift to Treasury or agency securities or shrink their balance sheets. In this post, we provide new evidence on how large banks have managed their cash, which is the largest component of reserves, on a daily basis since the implementation of liquidity regulations.
Update (9 a.m.): An earlier version of this post transposed line labels in the first figure. The error has been corrected.
First of two posts
The Federal Open Market Committee (FOMC) has recently communicated its aim to continue implementing monetary policy in a regime that maintains an ample supply of reserves, though with a significantly lower level of reserves than has prevailed in recent years. The liquidity needs of the largest U.S. commercial banks play an important role in understanding the banking system’s appetite for actual reserve holdings, which we refer to as bank reserve demand. In this post, we discuss the recent evolution of large bank cash balances and the effect of liquidity regulations on these balances. In part two of this series, we provide new evidence on how the largest banks manage their liquidity needs on a daily basis.
Gara M. 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.
Fernando M. Duarte, Collin Jones, and Francisco Ruela
Second of two posts
When a financial firm suffers sufficiently high losses, it might default on its counterparties, who may in turn become unable to pay their own creditors, and so on. This “domino” or “cascade” effect can quickly propagate through the financial system, creating undesirable spillovers and unnecessary defaults. In this post, we use the framework that we discussed in “Assessing Contagion Risk in a Financial Network,” the first part of this two-part series, to answer the question: How vulnerable is the U.S. financial system to default spillovers?
Fernando M. Duarte, Collin Jones, and Francisco Ruela
First of two posts
In compiling a list of key takeaways of the 2008 financial crisis, surely the dangers of counterparty risk would be near the top. During the crisis, speculation on which financial institution would be next to default on its obligations to creditors, and which one would come after that, dominated news cycles. Since then, there has been an explosion in research trying to understand and quantify the default spillovers that can arise through counterparty risk. This is the first of two posts delving into the analysis of financial network contagion through this spillover channel. Here we introduce a framework that is useful for thinking about default cascades, originally developed by Eisenberg and Noe.
By many measures nonfinancial corporate debt has been increasing as a share of GDP and assets since 2010. As the May Federal Reserve Financial Stability Report explained, high business debt can be a financial stability risk because heavily indebted corporations may need to cut back spending more sharply when shocks occur. Further, when businesses cannot repay their loans, financial institutions and investors incur losses. In this post, we review measures of corporate leverage in the United States. Although corporate debt has soared, concerns about debt growth are mitigated in part by higher corporate cash flows.
Gara Afonso, Filippo Curti, Ping McLemore, and Atanas Mihov
Cyber risk poses a major threat to financial stability, yet financial institutions still lack consensus on the definition of and terminology around cyber risk and have no common framework for confronting these hazards. This impedes efforts to measure and manage such risk, diminishing institutions’ individual and collective readiness to handle system-level cyber threats. In this blog post, we describe the proceedings of a recent workshop where leading risk managers, academics, and policy makers gathered to discuss proposals for countering cyber risk. This workshop is part of a joint two-phase initiative run by the Federal Reserve Banks of Richmond and New York and the Fed’s Board of Governors to harmonize cyber risk identification, classification, and measurement practices.
By November 2008, the Global Financial Crisis, which originated in the residential housing market and the shadow banking system, had begun to turn into a major recession, spurring the Federal Open Market Committee (FOMC) to initiate what we now refer to as quantitative easing (QE). In this blog post, we draw upon the empirical findings of post-crisis academic research–including our own work–to shed light on the question: Did QE work?
From the fourth quarter of 2017 through the third quarter of 2018, the average contract interest rate on new thirty-year fixed rate mortgages rose by roughly 70 basis points—from 3.9 percent to 4.6 percent. During this same period, there was a broad-based slowing in housing market activity with sales of new single-family homes declining by 7.6 percent while sales of existing single-family homes fell by 4.6 percent. Interestingly though, these declines in home sales were larger than in the two previous episodes when mortgage interest rates rose by a comparable amount. This post considers whether provisions in the Tax Cuts and Jobs Act of 2017 (TCJA) might have also contributed to the recent decline in housing market activity.
Sean Hundtofte, Michael Junho Lee, Antoine Martin, and Reed Orchinik
Having witnessed the dramatic rise and fall in the value of cryptocurrencies over the past year, we wanted to learn more about what motivates people to participate in this market. To find out, we included a special set of questions in the May 2018 Survey of Consumer Expectations, a project of the New York Fed’s Center for Microeconomic Data. This blog post summarizes the results of that survey, shedding light on U.S. consumers’ depth of participation in cryptocurrencies and their motives for entering this new market.
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.
Economic Research Tracker
Liberty Street Economics is now available on the iPhone® and iPad® and can be customized by economic research topic or economist.
We encourage your comments and queries on our posts and will publish them (below the post) subject to the following guidelines:
Please be brief: Comments are limited to 1500 characters.
Please be quick: Comments submitted after COB on Friday will not be published until Monday morning.
Please be aware: Comments submitted shortly before or during the FOMC blackout may not be published until after the blackout.
Please be on-topic and patient: Comments are moderated and will not appear until they have been reviewed to ensure that they are substantive and clearly related to the topic of the post. We reserve the right not to post any comment, and will not post comments that are abusive, harassing, obscene, or commercial in nature. No notice will be given regarding whether a submission will or will not be posted.
The LSE editors ask authors submitting a post to the blog to confirm that they have no conflicts of interest as defined by the American Economic Association in its Disclosure Policy. If an author has sources of financial support or other interests that could be perceived as influencing the research presented in the post, we disclose that fact in a statement prepared by the author and appended to the author information at the end of the post. If the author has no such interests to disclose, no statement is provided. Note, however, that we do indicate in all cases if a data vendor or other party has a right to review a post.