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.
Uyanga Byambaa, Beverly Hirtle, Anna Kovner, and Matthew Plosser
Supervision and regulation are critical tools for the promotion of stability and soundness in the financial sector. In a prior post, we discussed findings from our recent research paper which examines the impact of supervision on bank performance (see earlier post How Does Supervision Affect Banks?). As described in that post, we exploit new supervisory data and develop a novel strategy to estimate the impact of supervision on bank risk taking, earnings, and growth. We find that bank holding companies (BHCs or “banks”) that receive more supervisory attention have less risky loan portfolios, but do not have lower growth or profitability. In this post, we examine the benefits of supervision over time, and especially during banking industry downturns.
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.
In recent years there has been a lot of interest in the effect of income inequality (heterogeneity) on the economy, from both academics and policymakers. Researchers have developed Heterogeneous Agent New Keynesian (HANK) models that incorporate heterogeneity and uninsurable idiosyncratic risk into the New Keynesian models that have become a cornerstone of monetary policy analysis. This research has argued that heterogeneity and idiosyncratic risk change many features of New Keynesian models – the
transmission of conventional monetary policy, the forward guidance puzzle, fiscal multipliers, the efficacy of targeted transfers and automatic stabilizers, among others. However, the source of the difference between HANK and representative agent New Keynesian (RANK) models remains unclear. This is because HANK models are typically not analytically tractable, leaving it unclear what exactly is driving the results. To shed light on the macroeconomic consequences of heterogeneity, we develop a stylized HANK model that contains key features present in more complicated HANK models.
Marco Cipriani, Jeff Gortmaker, and Gabriele La Spada
In a recent post, we documented the transmission of monetary policy through money market funds (MMFs). In this post, we complement that analysis by comparing the transmission of monetary policy via MMFs to the transmission via bank deposits and studying the impact of the differential pass-through on the size of the MMF industry. To this purpose, we focus on rates on certificates of deposit (CDs) offered to banks’ retail customers and compare their response to monetary policy with that of retail MMF yields.
Marco Cipriani, Jeff Gortmaker, and Gabriele La Spada
In December 2015, the Federal Reserve tightened monetary policy for the first time in almost ten years and, over the following three years, it raised interest rates eight more times, increasing the target range for the federal funds rate from 0-25 basis points (bps) to 225-250 bps. To what extent are changes in the fed funds rate transmitted to cash investors, and are there differences in the pass-through between retail and institutional investors? In this post, we describe the impact of recent rate increases on the yield paid by money market funds (MMFs) to their investors and show that the impact varies depending on investors’ sophistication.
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 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.
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.
Alyssa Cambron, Marco Cipriani, Joshua Jones, Romen Mookerjee, Scott Sherman, Brett Solimine, and Timothy Wessel
The Federal Reserve Bank of New York recently decided to revise the composition of the Overnight Bank Funding Rate (OBFR), a reference rate measuring the cost banks face to borrow overnight in unsecured U.S. dollar-denominated money markets. Specifically, in addition to the federal funds and Eurodollar transactions currently comprising the OBFR, the OBFR now also includes overnight, interest-bearing demand deposits (at rates negotiated between the counterparties and excluding deposits payable on demand) booked within banks’ U.S. offices, known as “selected deposits.” In this post, we discuss the change in more detail, the reason for including selected deposits, and the likely impact on the OBFR’s published values.
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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