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Deborah Leonard, Antoine Martin, Simon Potter, and Brett Rose
In our previous post, we considered balance sheet mechanics related to the Federal Reserve’s purchase and redemption of Treasury securities. These mechanics are fairly straightforward and help to illustrate the basic relationships among actors in the financial system. Here, we turn to transactions involving agency mortgage-backed securities (MBS), which are somewhat more complicated. We focus particularly on what happens when households pay down their mortgages, either through regular monthly amortizations or a large payment covering some or all of the outstanding balance, as might occur with a refinancing.
Michael Fleming, Gabriel Herman, Deborah Leonard, Dave Na, and Lisa Stowe
The Federal Reserve Bank of New York’s Markets Group today published a report presenting updated staff projections for the future path of domestic securities held in the System Open Market Account (SOMA) and portfolio-related income. The updated projections incorporate very recent information and are provided as a tool for the public to further understand factors affecting the evolution of the Federal Reserve’s balance sheet.
The size of the Federal Reserve’s balance sheet increased greatly between 2009 and 2014 owing to large-scale asset purchases. The balance sheet has stayed at a high level since then through the ongoing reinvestment of principal repayments on securities that the Fed holds. When the Federal Open Market Committee (FOMC) decides to reduce the size of the Fed’s balance sheet, it is expected to do so by gradually reducing the pace of reinvestments, as outlined in the June 2017 addendum to the FOMC’s Policy Normalization Principles and Plans. How do asset purchases increase the size of the Fed’s balance sheet? And how would reducing reinvestments reduce the size of the balance sheet? In this post, we answer these questions by describing the mechanics of the Fed’s balance sheet. In our next post, we will describe the balance sheet mechanics with respect to agency mortgage-backed securities (MBS).
Editor’s note: This post was originally published on June 30, 2017. We are running it again today, August 14, in conjunction with a companion piece scheduled for August 16. An error in the table was corrected on July 3.
Central bank lending facilities were vital during the financial crisis of 2007-08 when many banks and nonbank financial institutions turned to them to meet funding needs as private funding dried up. Since then, there has been renewed interest in the design of central bank lending facilities in the post-crisis period. In this post, we compare the Federal Reserve’s discount window with the lending facilities at three other major central banks: the Bank of England (BoE), the European Central Bank (ECB), and the Bank of Japan (BoJ). We observe that, relative to the other central banks, the Fed’s discount window is less integrated into the monetary policy framework. In a follow-up post, we will discuss differences in the central banks’ counterparty and collateral policies.
Ozge Akinci, Marco Del Negro, Abhi Gupta, Pearl Li, and Erica Moszkowski
This post presents our quarterly update of the economic forecasts generated by the Federal Reserve Bank of New York’s dynamic stochastic general equilibrium (DSGE) model. We describe very briefly our forecast and its change since February 2017. As usual, we wish to remind our readers that the DSGE model forecast is not an official New York Fed forecast, but only an input to the Research staff’s overall forecasting process. For more information about the model and variables discussed here, see our
DSGE Model Q & A.
Quantitative easing (QE)—the Federal Reserve’s effort to provide policy accommodation lowering long-term interest rates at a time when the federal funds rate was near its lower bound—has generated a great deal of research, both about its impact and about the frictions that might limit that impact. For example, this recent study finds that weak competition in local mortgage markets limited the pass-through from QE to mortgage rates for borrowers, and another study suggests that QE expanded banks’ mortgage lending while crowding out their commercial lending. In this post, we look into a different friction—whether banks’ limited risk-taking capacity after the crisis led them to favor refinance mortgages over new mortgage originations.
Marco Del Negro, Marc Giannoni, Abhi Gupta, Pearl Li, and Erica Moszkowski
This post presents the latest update of the economic forecasts generated by the Federal Reserve Bank of New York’s (FRBNY) dynamic stochastic general equilibrium (DSGE) model. We introduced this model in a series of blog posts in September 2014 and published forecasts twice a year thereafter. With this post, we move to a quarterly release schedule, and highlight how our forecasts have changed since November 2016.
Tobias Adrian is leaving the New York Fed to become the Financial Counselor and Director of the Monetary and Capital Markets Department at the International Monetary Fund (IMF). In announcing Adrian’s appointment, Christine Lagarde, managing director of the IMF, described Tobias as “internationally highly regarded for his insightful analytical work.” Until he starts his new position at the beginning of 2017, Adrian will be winding down his service as Senior Vice President of the New York Fed and Associate Director of the Bank’s Research and Statistics Group. Before he moves on to the IMF, Adrian shared some insight on his time at the Bank.
Bianca De Paoli, Luca Dedola, Linda Goldberg, Arnaud Mehl, John Rogers, and Livio Stracca
The New York Fed recently hosted the third biannual Global Research Forum on International Macroeconomics and Finance, an event organized in conjunction with the European Central Bank (ECB) and the Federal Reserve Board. Bringing together a diverse group of academics, policymakers, and market participants, the two-day conference (November 17-18) was aimed at promoting discussion of frontier research on empirical and theoretical issues in international finance, banking, and open-economy macroeconomics. Understanding the drivers and implications of international capital flows was a major area of focus, along with the policy challenges posed by global financial integration.
Marco Del Negro, Marc Giannoni, Abhi Gupta, Pearl Li, and Erica Moszkowski
This post presents the latest update of the economic forecasts generated by the Federal Reserve Bank of New York’s (FRBNY) dynamic stochastic general equilibrium (DSGE) model. We introduced this model in a series of blog posts in September 2014 and have since published forecasts twice a year. Here we describe our current forecast and highlight how it has changed since May 2016.
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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