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.
Sarah Ngo Hamerling, Donald P. Morgan, and John Sporn
Did the 2007-09 financial crisis or the regulatory reforms that followed alter how banks change their underwriting standards over the course of the business cycle? We provide some simple, “narrative” evidence on that question by studying the reasons banks cite when they report a change in commercial credit standards in the Federal Reserve’s Senior Loan Officer Opinion Survey. We find that the economic outlook, risk tolerance, and other real factors generally drive standards more than financial factors such as bank capital and loan market liquidity. Those financial factors have mattered more since the crisis, however, and their importance increased further as post-crisis reforms were phased in in the middle of the following decade.
Nina Boyarchenko, Thomas M. Eisenbach, Pooja Gupta, Or Shachar, and Peter Van Tassel
“Arbitrageurs” such as hedge funds play a key role in the efficiency of financial markets. They compare closely related assets, then buy the relatively cheap one and sell the relatively expensive one, thereby driving the prices of the assets closer together. For executing trades and other services, hedge funds rely on prime brokers and broker-dealers. In a previous Liberty Street Economics blog post, we argued that post-crisis changes to regulation and market structure have increased the costs of arbitrage activity, potentially contributing to the persistent deviations in the prices of closely related assets since the 2007–09 financial crisis. In this post, we document how post-crisis changes to bank regulations have affected the relationship between hedge funds and broker-dealers.
Rajashri Chakrabarti, Andrew Haughwout, Donghoon Lee, William Nober, Joelle Scally, and Wilbert van der Klaauw
COVID-19 and associated social distancing measures have had major labor market ramifications, with massive job losses and furloughs. Millions of people have filed jobless claims since mid-March—6.9 million in the week of March 28 alone. These developments will surely lead to financial hardship for millions of Americans, especially those who hold outstanding debts while facing diminishing or disappearing wages. The CARES Act, passed by Congress on April 2, 2020, provided $2.2 trillion in disaster relief to combat the economic impacts of COVID-19. Among other measures, it included mortgage and student debt relief measures to alleviate the cash flow problems of borrowers. In this post, we examine who could benefit most (and by how much) from various debt relief provisions under the CARES Act.
Donald P. Morgan, Dong Beom Choi, and Michael R. Holcomb
Leverage limits as a form of capital regulation have a well-known, potential bug: If banks can’t lever returns as desired, they can boost returns on equity by shifting toward riskier, higher yielding assets. That reach for yield is the leverage rule “arbitrage.” But would banks do that? In a previous post, we discussed evidence from our working paper that banks did do just that in response to the new leverage rule that took effect in 2018. This post discusses new findings in our revised paper on when and how banks arbitraged.
Modern-day financial systems are highly complex, with billions of exchanges in information, assets, and funds between individuals and institutions. Though daunting to operationalize, regulating these transmissions may be desirable in some instances. For example, securities regulators aim to protect investors by tracking and punishing
Recent evidence shows that insiders have formed
that enable them to pursue activities outside the purview of regulatory oversight. In understanding the cat-and-mouse game between regulators and insiders, a key consideration is the networks that insiders might form in order to circumvent regulation, and how regulators might cope with insiders’ tactics. In this post, we introduce a
theoretical framework that considers network formation in response to regulation and review the key insights.
After the global financial crisis, regulatory changes were implemented to support financial stability, with some changes directly addressing capital and liquidity in bank holding companies (BHCs) and others targeting BHC size and complexity. Although the overall size of the largest U.S. BHCs has not decreased since the crisis, the organizational complexity of these same organizations has declined, with less notable changes being observed in their range of businesses and geographic scope (Goldberg and Meehl, forthcoming). In this post, we explore how different types of BHC risks—risks that can influence the probability that a BHC is stressed, as well as the chance of systemic implications—have changed over time. The results are mixed: Levels of most BHC risks tend to be higher than in the years immediately preceding the crisis, but are markedly lower than the levels seen during and immediately following the crisis.
Alan Basmajian, Brad Groarke, Vanessa Kargenian, Kimberley Liao, Erika Ota-Liedtke, Jesse Maniff, and Asani Sarkar
Financial technology (“FinTech”) refers to the evolving intersection of financial services and technology. In March, the New York Fed hosted "The First New York Fed Research Conference on FinTech” to understand the implications of FinTech developments on issues that are relevant to the Fed’s mandates such as lending, payments, and regulation. In this post, we summarize the principal themes and findings of the conference.
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.
Nina Boyarchenko, Anna M. Costello, and Or Shachar
Credit default swaps (CDS) are frequently credited with being the cause of AIG’s collapse during the financial crisis. A Reuters article from September 2008, for example, notes “[w]hen you hear that the collapse of AIG […] might lead to a systemic collapse of the global financial system, the feared culprit is, largely, that once-obscure […] instrument known as a credit default swap.” Yet, despite the prominent role that CDS played during the financial crisis, little is known about how individual financial institutions utilize CDS contracts on individual companies. In a recent New York Fed staff report, we assess the choice banks face when trading the idiosyncratic credit risk of a firm, and argue that banks’ participation decisions have been affected in the post-regulation period, either by direct changes in market structure or by changes in the relative cost of pursuing different strategies.
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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