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.
Katherine Di Lucido, Anna Kovner, and Samantha Zeller
The Fed’s December 2015 decision to raise interest rates after an unprecedented seven-year stasis offers a chance to assess the link between interest rates and bank profitability. A key determinant of a bank’s profitability is its net interest margin (NIM)—the gap between an institution’s interest income and interest expense, typically normalized by the average size of its interest-earning assets. The aggregate NIM for the largest U.S. banks reached historic lows in the fourth quarter of 2015, coinciding with the “low for long” interest rate environment in place since the financial crisis. When interest rates fall, interest income and interest expenses tend to fall as well, but the relative changes—and the impact on NIM—are less clear. In this post, we explore how NIM fell during the low-interest-rate period, finding that banks mitigated some, but not all, of the impact of lower rates by shifting into less costly types of liabilities. Our analysis also gives insight into how NIM may respond to the new rising interest rate environment.
The New York Fed’s recently released Quarterly Trends for Consolidated U.S. Banking Organizations (QT report) confirms that bank loan portfolios look a lot healthier than they did just a few years ago, reflecting the sustained economic recovery from the Great Recession. In this post, we sharpen the focus to look at bank loan performance in more detail, using more disaggregated charts added to the QT report this quarter.
The global financial crisis has put financial stability risks—and the potential role of macroprudential policies in addressing them—at the forefront of policy debates. The challenge for macroeconomists is to develop new models that are consistent with the data while being able to capture the highly nonlinear nature of crisis episodes. In this post, we evaluate the impact of a macroprudential policy that has the government tilt incentives for banks to encourage them to build up their equity positions. The government has a role since individual banks do not internalize the systemic benefit of having more bank equity. Our model allows for an evaluation of the tradeoff between the size of such incentives and the probability of a future financial crisis.
Every quarter, senior loan officers at selected large banks around the United States are asked by Fed economists how their standards for approving business loans changed compared with the quarter before. Of all the questions in the Senior Loan Officer Opinion Survey (SLOOS), responses to that question about standards usually attract the most attention from the financial press and researchers. Relatively ignored by comparison are loan officers’ reports on how they changed interest spreads, collateral requirements, and other terms on loans they are willing to approve. Lenders can clearly expand or contract credit by altering those terms even without changing their standards for approving loans, so we investigate whether the reports on loan terms collected in the SLOOS are also informative.
In the third post in this series, we examined GCF Repo® traders’ end-of-day strategies. In this final post, we further our understanding of dealers’ behavior by looking at their trading pattern within the day.
Paul Goldsmith-Pinkham, Beverly Hirtle, and David Lucca
Since the financial crisis, bank regulatory and supervisory policies have changed dramatically both in the United States (Dodd-Frank Wall Street Reform and Consumer Protection Act) and abroad (Third Basel Accord). While these shifts have occasioned much debate, the discussion surrounding supervision remains limited because most supervisory activity— both the amount of supervisory attention and the demands for corrective action by supervisors—is confidential.
Drawing on our recent staff report “Parsing the Content of Bank Supervision,” this post provides a peek behind the scenes of bank supervision, presenting a statistical linguistic analysis based on confidential communications from Fed supervisors to the banks they supervise. Our analysis tackles several fundamental questions: What are the precise supervisory issues being raised? What drives the issues supervisors bring up? How does bank supervision relate to the other two pillars of the Basel Accord: capital regulations and market discipline?
Supervisors monitor banks to assess the banks’ compliance with rules and regulations but also to ensure that they engage in safe and sound practices (see our earlier post What Do Banking Supervisors Do?). Much of the work that bank supervisors do is behind the scenes and therefore difficult for outsiders to measure. In particular, it is difficult to know what impact, if any, supervisors have on the behavior of banks. In this post, we describe a new Staff Report in which we attempt to measure the impact that supervision has on bank performance. Does more attention by supervisors lead to lower risk at banks and, if so, at what cost to profitability or growth?
Last month the New York Fed held a conference on supervising large, complex financial institutions. The event featured presentations of empirical and theoretical research by economists here, commentary by academic researchers, and panel discussions with policymakers and senior supervisors. The conference was motivated by the recognition that supervision is distinct from regulation, but that the difference between them is often not well understood. The discussion focused on defining objectives for supervising the large, complex financial companies that figure so prominently in our financial system and ways of measuring how effectively supervision achieves these goals. This post summarizes the key themes from the conference and introduces the more in-depth posts that will follow in this blog series.
U.S. Bank Holding Companies (BHCs) currently control about 3,000 subsidiaries that provide community housing services—such as building low-income housing units, maintaining shelters, and providing housing services to the elderly and disabled. This aspect of U.S. BHC activity is intriguing because it departs from the traditional deposit-taking and loan-making operations typically associated with banks. But perhaps most importantly, the sheer number of these subsidiaries makes one think about the organizational complexity of U.S. BHCs. This is an issue that has generated much discussion in recent years. In this post we describe the emergence and growth of community housing subsidiaries and discuss to what extent they contribute to the complexity of their parent organizations.
Editors’ Note: The original version of this post slightly overestimated the fraction of people of all types (low income, minority, etc.) who live in banking deserts. This version reports the correct figures. None of the substantive conclusions were affected. (Updated July 12, 2016)
U.S. banks have shuttered nearly 5,000 branches since the financial crisis, raising concerns that more low-income and minority neighborhoods may be devolving into “banking deserts” with inadequate, or no, mainstream financial services. We investigate this issue and also ask whether such neighborhoods are particularly exposed to branch closings—a development that, according to recent research, could reduce credit access, even with other branches present, by destroying “soft” information about borrowers that influences lenders’ credit decisions. Our findings are mixed, suggesting that further study of these concerns is warranted.
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 Donald Morgan, 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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