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.
The New York Fed engages with individuals, households and businesses in the Second District and maintains an active dialogue in the region. The Bank gathers and shares regional economic intelligence to inform our community and policy makers, and promotes sound financial and economic decisions through community development and education programs.
As noted in our previous post, thirty years has marked the outer boundary of Treasury bond maturities since “regular and predictable” issuance of coupon-bearing Treasury debt became the norm in the 1970s. However, the Treasury issued bonds with maturities of greater than thirty years on seven occasions in the 1950s and 1960s, in an effort to lengthen the maturity structure of the debt. While our earlier post described the efforts of Treasury debt managers to lengthen debt maturities between 1953 and 1957, this post examines the period from 1957 to 1965. An expanded version of both posts is available here.
Ever since “regular and predictable” issuance of coupon-bearing Treasury debt became the norm in the 1970s, thirty years has marked the outer boundary of Treasury bond maturities. However, longer-term bonds were not unknown in earlier years. Seven such bonds, including one 40-year bond, were issued between 1955 and 1963. The common thread that binds the seven bonds together was the interest of Treasury debt managers in lengthening the maturity structure of the debt. This post describes the efforts to lengthen debt maturities between 1953 and 1957. A subsequent post will examine the period from 1957 to 1965. An extended version of both posts is available here.
Corporate bonds are an important source of funding for public corporations in the United States. When these bonds cannot be easily traded in secondary markets or when investors cannot easily hedge their bond positions in derivatives markets, the issuance costs to corporations increase, leading to higher overall funding costs. In this post, we examine recent trends in arbitrage-based measures of liquidity in corporate bond and credit default swap (CDS) markets and evaluate potential explanations for the deterioration in these measures that occurred between the middle of 2015 and early 2016.
The panic of 1907 was among the most severe we’ve covered in our series and also the most transformative, as it led to the creation of the Federal Reserve System. Also known as the “Knickerbocker Crisis,” the panic of 1907 shares features with the 2007-08 crisis, including “shadow banks” in the form high-flying, less-regulated trusts operating beyond the safety net of the time, and a pivotal “Lehman moment” when Knickerbocker Trust, the second-largest trust in the country, was allowed to fail after J.P. Morgan refused to save it.
Oil prices plunged 65 percent between July 2014 and December of the following year. During this period, the yield spread—the yield of a corporate bond minus the yield of a Treasury bond of the same maturity—of energy companies shot up, indicating increased credit risk. Surprisingly, the yield spread of non‑energy firms also rose even though many non‑energy firms might be expected to benefit from lower energy‑related costs. In this blog post, we examine this counterintuitive result. We find evidence of a liquidity spillover, whereby the bonds of more liquid non‑energy firms had to be sold to satisfy investors who withdrew from bond funds in response to falling energy prices.
In recent months, there have been some high-profile assessments of how far the Federal Reserve has come in terms of communicating about monetary policy since its “secrets of the temple” days. While observers say the transition to greater transparency “still seems to be a work in progress,” they note the range of steps the Fed has taken over the years to shed light on its strategy, including issuing statements to announce and explain policy changes following Federal Open Market Committee (FOMC) meetings, post-meeting press conferences and minutes, FOMC-member speeches and testimony, and “forward guidance” in all its variants.
Tobias Adrian, Richard Crump, Peter Diamond, and Rui Yu
In a previous post, we showed how market rates on U.S. Treasuries violate the expectations hypothesis because of time-varying risk premia. In this post, we provide evidence that term structure models have outperformed direct market-based measures in forecasting interest rates. This suggests that term structure models can play a role in long-run planning for public policy objectives such as assessing the viability of Social Security.
Few people know the Treasury market from as many angles as Ken Garbade, a senior vice president in the Money and Payments Studies area of the New York Fed’s Research Group. Ken taught financial markets at NYU’s graduate school of business for many years before heading to Wall Street to assume a position in the research department of the primary dealer division of Bankers Trust Company. At Bankers, Ken conducted relative-value research on the Treasury market, assessing how return varies relative to risk for particular Treasury securities. For a time, he also traded single-payment Treasury obligations known as STRIPS—although not especially successfully, he notes.
The close relationship between market volatility and trading activity is a long-established fact in financial markets. In recent years, much of the trading in U.S. Treasury and equity markets has been associated with nearly simultaneous trading between the leading cash and futures platforms. The striking cross-activity patterns that arise in both high-frequency cross-market trading and related cross-market order book changes in U.S. Treasury markets are also witnessed in other asset classes and naturally lead to the question that we investigate in this post of how the cross-market component of overall trading activity is related to volatility.
The interdealer market for Treasury securities shares many features with other highly liquid markets that trade electronically using anonymous central limit order books. The interdealer Treasury market, however, contains a unique trading protocol, the so-called workup, that accounts for the majority of interdealer trading volume. While the workup is designed to enhance liquidity in a market with diverse participation, it may also delay certain price-improving order book adjustments and therefore affect price discovery. In this post, we exploit the tight relationship between the ten-year Treasury note traded on the BrokerTec platform and the corresponding Treasury futures contract to explore how the workup protocol affects trading in the interdealer market and to highlight the impact of technological changes on observed trading behaviors.
Liberty Street Economics features insight and analysis from economists working at the intersection of research and policy. The editors are Michael Fleming, Andrew Haughwout, Thomas Klitgaard, and Donald Morgan.
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.
Economic Research Tracker
Liberty Street Economics is now available on the iPhone® and iPad® and can be customized by economic research topic or economist.
We encourage your comments and queries on our posts and will publish them (below the post) subject to the following guidelines:
Please be brief: Comments are limited to 1500 characters.
Please be quick: Comments submitted after COB on Friday will not be published until Monday morning.
Please be aware: Comments submitted shortly before or during the FOMC blackout may not be published until after the blackout.
Please be on-topic and patient: Comments are moderated and will not appear until they have been reviewed to ensure that they are substantive and clearly related to the topic of the post. We reserve the right not to post any comment, and will not post comments that are abusive, harassing, obscene, or commercial in nature. No notice will be given regarding whether a submission will or will not be posted.
The LSE editors ask authors submitting a post to the blog to confirm that they have no conflicts of interest as defined by the American Economic Association in its Disclosure Policy. If an author has sources of financial support or other interests that could be perceived as influencing the research presented in the post, we disclose that fact in a statement prepared by the author and appended to the author information at the end of the post. If the author has no such interests to disclose, no statement is provided. Note, however, that we do indicate in all cases if a data vendor or other party has a right to review a post.