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.
Regional & Community Outreach connects the Bank to Main Street via structured dialogues and two-way conversations on small business, mortgages, and household credit.
Economic Education improves public knowledge about the Federal Reserve System, monetary policy implementation, and promoting financial stability through the Museum and programs for K-16 students and educators, and the community.
The San Francisco Fed’s John Williams gave an interesting speech awhile back on the challenge of teaching economics after the financial crisis, since the Federal Reserve had deployed new monetary policy and lending tools that “were not found in any textbook.”
Jamie McAndrews, Jonathan McCarthy, Paolo Pesenti, Argia Sbordone, and Andrea Tambalotti
The Research Group at the New York Fed, like the research divisions at the other regional Feds, is charged with providing advice on monetary policy to the Bank president. In addition, the role of research at this institution is related to two features of the New York Fed: first, the New York Fed president is a voting member of the Federal Open Market Committee (FOMC), and second, the Open Market Desk located at the New York Fed implements the policy decisions of the FOMC. In this post, we provide a brief introduction to the process whereby research economists, collaborating with staff in the Markets Group and the Integrated Policy Analysis [IPA] Group, provide policy advice to the Bank president. Because the FOMC meeting is the focus for monetary policy advice within the Fed, our discussion of the policy process will be organized around the FOMC cycle.
Euro area sovereign bond yields fell to record lows and the euro weakened after the European Central Bank (ECB) dramatically expanded its asset purchase program in early 2015. Some analysts predicted massive financial outflows spilling out of the euro area and affecting global markets as investors sought higher yields abroad. These arguments ignore balance of payments accounting, which requires any financial outflow from the euro area to be matched by a similar-sized inflow, absent a quick and substantial current account improvement. The focus on cross-border financial flows also is misguided since, according to asset pricing principles, the euro and global asset prices can move without any change in financial outflows.
The current policy debate is influenced by the possibility that the first-quarter GDP data were affected by “residual seasonality.” That is, the statistical procedures used by the Bureau of Economic Analysis (BEA) did not fully smooth out seasonal variation in economic activity. If this is indeed the case, then the weak readings of the economy in the first quarter give an inaccurate picture of the state of the economy. In this post, we argue that unusually adverse winter weather, rather than imperfect seasonal adjustment by the BEA, was an important factor behind the weak first-quarter GDP data.
In February, the Federal Reserve Bank of New York’s trading desk announced it will publish a new overnight bank funding rate early next year. The new rate will be based on both federal funds and Eurodollar transactions reported in a new data collection—the FR 2420 Report of Selected Money Market Rates. In a previous post, we explained how FR 2420 fed funds transaction data will replace brokered data as the base for the fed funds effective rate. This post provides insights on the Eurodollar market in advance of the publication of the overnight bank funding rate.
Marco Del Negro, Marc Giannoni, Matthew Cocci, Sara Shahanaghi, and Micah Smith
Second post in the series
In a recent series of blog posts, the former Chairman of the Federal Reserve System, Ben Bernanke, has asked the question: “Why are interest rates so low?” (See part 1, part 2, and part 3.) He refers, of course, to the fact that the U.S. government is able to borrow at an annualized rate of around 2 percent for ten years, or around 3 percent for thirty years. If you expect that inflation is going to be on average 2 percent over the next ten or thirty years, this implies that the U.S. government can borrow at real rates of interest between 0 and 1 percent at the ten- and thirty-year maturities. This phenomenon is by no means limited to the United States. Governments in Japan and Germany are able to borrow for ten years at nominal rates below 1 percent, and the ten-year yield on Swiss government debt is slightly negative. Why is that?
Marco Del Negro, Marc Giannoni, Matthew Cocci, Sara Shahanaghi, and Micah Smith
First in a two-part series
There are various types of economic forecasts, such as judgmental forecasts or model-based forecasts. In this post, we provide an update of the economic forecasts implied by the Federal Reserve Bank of New York’s (FRBNY) dynamic stochastic general equilibrium (DSGE) model, which we introduced in a series of five blog posts in September 2014 here. It continues to predict a gradual recovery in economic activity with a progressive but slow return of inflation toward the Federal Open Market Committee’s (FOMC) long-run target of 2 percent. This forecast remains surrounded by significant uncertainty. Please note that the DSGE model forecasts are not the official New York Fed staff forecasts, but only an input to the overall forecasting process at the Bank.
Today, the Federal Reserve Bank of New York (FRBNY) is hosting the spring meeting of its Economic Advisory Panel (EAP). As has become custom at this meeting, FRBNY staff are presenting their forecast for U.S. growth, inflation, and unemployment through the end of 2016. Following the presentation, members of the EAP, which consists of leading economists in academia and the private sector, are asked to discuss the staff forecast. Such feedback helps the staff evaluate the assumptions and reasoning underlying the forecast and the key risks to it. Subjecting the staff forecast to periodic evaluation is also important because it informs the staff’s discussions with New York Fed President William Dudley about economic conditions. In that same spirit, we are sharing a short summary of the staff forecast in this post. For more detail, please see the material from the EAP meeting on our website.
Note: A PDF version of this post fully documents the authors’ sources.
Negative interest rates have evolved, over the past few years, from a topic of modest academic interest to a practical reality. Short- and intermediate-term sovereign debt of several European countries, including Germany, Denmark, the Netherlands, Sweden, Austria, and Switzerland, now trades at negative yields.
Mounting evidence says that “low-risk” investing delivers superior returns, comparable to strategies based on value, size, and momentum. Such tactics include the “risk parity” (RP) asset allocation approach, which received considerable attention during the 2013 taper tantrum when many RP funds reportedly deleveraged. This strategy requires long or overweight positions in low-risk asset classes, such as government bonds, and offsetting short or underweight positions in risky asset classes, including shares. The low-risk umbrella also covers “betting against beta” (BAB) within, rather than across, asset classes. For example, investing in shorter- as opposed to longer-duration bonds beats the bond market, or owning low-beta at the expense of high-beta shares outpaces the S&P 500. Whether RP or BAB, what matters is return per unit of risk, the bang for the buck. Put more formally, RP and BAB profitability rests on an inverse relation between Sharpe ratios (SRs) and beta, the covariance of asset returns with the market portfolio. Such findings contradict the intuition that higher returns compensate for risk. Instead, investors profit handsomely by levering up relatively safe assets and shorting comparatively risky securities. However, as my New York Fed staff report argues, alternative reasoning and samples, as well as the types and number of “risks,” raise questions about not only BAB with government bonds (BABgov) but perhaps also RP. The investment implications are obvious, but the arguments and underlying data patterns also hint at key policy issues.
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