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.
How does competition among banks affect credit growth and real economic growth? In addition, how does it affect financial stability? In this blog post, we derive insights into this important set of questions from novel data on the U.S. banking system during the nineteenth century.
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.
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.
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.
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.
Marco Del Negro, Domenico Giannone, Marc Giannoni, Andrea Tambalotti, Brandyn Bok, and Eric Qian
Long-term government bond yields are at their lowest levels of the past 150 years in advanced economies. In this blog post, we argue that this low-interest-rate environment reflects secular global forces that have lowered real interest rates by about two percentage points over the past forty years. The magnitude of this decline has been nearly the same in all advanced economies, since their real interest rates have converged over this period. The key factors behind this development are an increase in demand for safety and liquidity among investors and a slowdown in global economic growth.
The term “operational risk” often evokes images of catastrophic events like hurricanes and earthquakes. For financial institutions, however, operational risk has a broader scope, encompassing losses related to fraud, rogue trading, product misrepresentation, computer and system failures, and cyberattacks, among other things. In this blog post, we discuss how operational risk has come into greater focus over the past two decades—to the point that it now accounts for more than a quarter of financial institutions’ regulatory capital.
Dong Beom Choi, Fernando M. Duarte, Thomas M. Eisenbach, and James Vickery
In the wake of the 2007-09 financial crisis, a wide range of new regulations have been introduced to improve the stability of the banking system. But has the banking system become safer since the crisis? In this post, we provide a new perspective on this question by employing four analytical models, each measuring a different aspect of banking system vulnerability, to evaluate how system stability has evolved over the past decade.
Nina Boyarchenko, Thomas M. Eisenbach, Pooja Gupta, Or Shachar, and Peter Van Tassel
Since the 2007-09 financial crisis, the prices of closely related assets have shown persistent deviations—so-called basis spreads. Because such disparities create apparent profit opportunities, the question arises of why they are not arbitraged away. In a recent Staff Report, we argue that post-crisis changes to regulation and market structure have increased the costs to banks of participating in spread-narrowing trades, creating limits to arbitrage. In addition, although one might expect hedge funds to act as arbitrageurs, we find evidence that post-crisis regulation affects not only the targeted banks but also spills over to less regulated firms that rely on bank intermediation for their arbitrage 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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