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James Conklin, W. Scott Frame, Kristopher Gerardi, and Haoyang Liu
Editor’s note: When this post was first published, the chart labels for “Non-Boom Counties” were incorrect; the labels have been corrected. (February 26, 12:00 pm)
The role of subprime mortgage lending in the U.S. housing boom of the 2000s is hotly debated in academic literature. One prevailing
narrative ascribes the unprecedented home price growth during the mid-2000s to an expansion in mortgage lending to subprime borrowers. This post, based on our recent working paper, “Villains or Scapegoats? The Role of Subprime Borrowers in Driving the U.S. Housing Boom,” presents evidence that is inconsistent with conventional wisdom. In particular, we show that the housing boom and the subprime boom occurred in different places.
Michael Fleming, Giang Nguyen, and Francisco Ruela
The popularity of U.S. Treasury securities as a means of pricing other securities, managing interest rate risk, and storing value is, in part, due to the efficiency and liquidity of the U.S. Treasury market. Any structural changes that might affect these attributes of the market are therefore of interest to market participants and policymakers alike. In this post, we consider how a 2018 change in the minimum price increment, or tick size, for the 2-year U.S. Treasury note affected market quality, following our recently updated New York Fed staff report.
How should we measure market expectations of the U.S. government failing to meet its debt obligations and thereby defaulting? A natural candidate would be to use the spreads on U.S. sovereign single-name credit default swaps (CDS): since a CDS provides insurance to the buyer for the possibility of default, an increase in the CDS spread would indicate an increase in the market-perceived probability of a credit event occurring. In this post, we argue that aggregate measures of activity in U.S. sovereign CDS mask a decrease in risk-forming transactions after 2014. That is, quoted CDS spreads in this market are based on few, if any, market transactions and thus may be a misleading indicator of market expectations.
Michael J. Fleming, Peter Johansson, Frank M. Keane, and Justin Meyer
The New York Fed recently hosted the fifth annual Conference on the U.S. Treasury Market. The one-day event was co-sponsored with the U.S. Department of the Treasury, the Federal Reserve Board, the U.S. Securities and Exchange Commission (SEC), and the U.S. Commodity Futures Trading Commission (CFTC). This year’s agenda featured a series of keynote addresses and expert panels focused on a variety of topics, including issues related to the LIBOR transition, data transparency and reporting requirements, and market structure and risk.
Fedwire Funds, a key payment system in the United States, is used by banks to wire money to one another throughout the day. Historically, the total value of payments sent over Fedwire has been roughly proportional to economic activity. Since the financial crisis, however, we have instead observed a strong co-movement between total payments and the level of aggregate reserves. This co-movement suggests that a fraction of every dollar of reserves created recirculates on a daily basis. In this post, we investigate why total payments, a flow variable driven by real and financial activity, would co-move with total reserves, a stock variable controlled by the Federal Reserve.
Michael J. Fleming, Peter Johansson, Frank M. Keane, and Justin Meyer
Five years ago today, U.S. Treasury yields plunged and then quickly rebounded for no apparent reason amid high volatility, strained liquidity conditions, and record trading volume in the market. Federal Reserve Chair Jerome Powell, then a Board governor, noted that such episodes, “threaten to erode investor confidence” and that investors need “to have full faith in the structure and functioning of Treasury markets themselves.” The October 15, 2014, “flash rally” led to an interagency staff report on the events of that day, an annual series of Treasury market conferences, additional study of clearing and settlement practices, and the introduction of a new transactions reporting scheme. Many of these developments are discussed in posts (see, for example, here and here) in the Liberty Street Economics archive.
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.
By November 2008, the Global Financial Crisis, which originated in the residential housing market and the shadow banking system, had begun to turn into a major recession, spurring the Federal Open Market Committee (FOMC) to initiate what we now refer to as quantitative easing (QE). In this blog post, we draw upon the empirical findings of post-crisis academic research–including our own work–to shed light on the question: Did QE work?
Following the 2007-09 financial crisis, regulations were introduced that increased the cost of entering into repurchase agreements (repo) for bank holding companies (BHC). As a consequence, banks and securities dealers associated with BHCs, a set of firms which dominates the repo market, were predicted to pull back from the market. In this blog post, we examine whether this changed environment allowed new participants, particularly those not subject to the new regulations, to emerge. We find that although new participants have come on the scene and made gains, they remain a small part of the overall repo market.
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.
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.
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