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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.
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.
Kristian Blickle, Fernando Duarte, Thomas Eisenbach, and Anna Kovner
A key part of understanding the stability of the U.S. financial system is to monitor leverage and funding risks in the financial sector and the way in which these vulnerabilities interact to amplify negative shocks. In this post, we provide an update of four analytical models, introduced in aLiberty Street Economics post last year, that aim to capture different aspects of banking system vulnerability. Since their introduction, vulnerabilities as indicated by these models have increased moderately, continuing the slow but steady upward trend that started around 2016. Despite the recent increase, the overall level of vulnerabilities according to this analysis remains subdued and is still significantly smaller than before the financial crisis of 2008-09.
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.
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.
Many market participants believe that large financial institutions enjoy an implicit guarantee that the government will step in to rescue them from potential failure. These “Too Big to Fail” (TBTF) issues became particularly salient during the 2008 crisis. From the government’s perspective, rescuing these financial institutions can be important to avoid harm to the financial system. The bailouts also artificially lower the risk borne by investors and the financing costs of big banks. The Dodd-Frank Act attempts to remove the incentive for governments to bail out banks in the first place by mandating that each large bank file a “living will” that details its strategy for a rapid and orderly resolution in the event of material distress or failure without disrupting the broader economy. In our recent New York Fed staff report, we look at whether living wills are effective at reducing the cost of implicit TBTF bailout subsidies.
Diego Aragon, Anna Kovner, Vanesa Sanchez, and Peter Van Tassel
The Tax Cuts and Jobs Act (TCJA) is expected to increase after-tax profits for most companies, primarily by lowering the top corporate statutory tax rate from 35 percent to 21 percent. At the same time, the TCJA provides less favorable treatment of net operating losses and limits the deductibility of net interest expense. We explain how the latter set of changes may heighten bank and corporate borrower cyclicality by making bank capital and default risk for highly levered corporations more sensitive to economic downturns.
It is widely said that a lack of “skin in the game” would distort lenders’ incentives and cause a moral hazard problem, that is, excessive risk‑taking. If so, does more skin in the game—in the form of extended liability—reduce bankers’ risk‑taking? In order to examine this question, we investigate historical data prior to the Great Depression, when bank owners’ liability for losses in the event of bank failure differed by state and primary regulator. This post describes our preliminary findings.
Nicola Cetorelli, B. Gerard Dages, Paul Licari, and Afshin Taber
The Committee on the Global Financial System, made up of senior officials from central banks around the world and chaired by New York Fed President William Dudley, recently released a report on “Structural Changes in Banking after the Crisis.” The report includes findings from a wide-ranging study documenting the significant structural adjustments in banking systems around the world in response to regulatory, technological, and market changes after the crisis, while also assessing their implications for financial stability, credit provision, and capital markets activity. It includes a new banking database spanning over twenty-one countries from 2000 to 2016 that could serve as a valuable reference for further analysis. Overall, the study concludes that the changed regulatory and market environment since the crisis has led banks to alter their business models and balance sheets in ways that make them more resilient but also less profitable, while continuing their role as intermediaries providing financial services to the real economy.
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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