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Correction: When this post was first published, line labels in the panel showing Tier 1 capital ratios were reversed; the labels have been corrected. (November 13, 10:40 a.m.)
Over the past two decades, the growth of shadow banking has transformed the way the U.S. banking system funds corporations. In this post, we describe how this growth has affected both the term loan and credit line businesses, and how the changes have resulted in a reduction in the liquidity insurance provided to firms.
As the aggregate supply of reserves shrinks and large banks implement liquidity regulations, they may follow a variety of liquidity management strategies depending on their business models and the interest rate differences between alternative liquid instruments. For example, the banks may continue to hold large amounts of excess reserves or shift to Treasury or agency securities or shrink their balance sheets. In this post, we provide new evidence on how large banks have managed their cash, which is the largest component of reserves, on a daily basis since the implementation of liquidity regulations.
Update (9 a.m.): An earlier version of this post transposed line labels in the first figure. The error has been corrected.
First of two posts
The Federal Open Market Committee (FOMC) has recently communicated its aim to continue implementing monetary policy in a regime that maintains an ample supply of reserves, though with a significantly lower level of reserves than has prevailed in recent years. The liquidity needs of the largest U.S. commercial banks play an important role in understanding the banking system’s appetite for actual reserve holdings, which we refer to as bank reserve demand. In this post, we discuss the recent evolution of large bank cash balances and the effect of liquidity regulations on these balances. In part two of this series, we provide new evidence on how the largest banks manage their liquidity needs on a daily basis.
The price impact of a trade derives largely from its information content. The “workup” mechanism, a trading protocol used in the U.S. Treasury securities market, is designed to mitigate the instantaneous price impact of a trade by allowing market participants to trade additional quantities of a security after a buyer and seller first agree on its price. Nevertheless, workup trades are not necessarily free of information. In this post, we assess the role of workups in price discovery, following our recent paper in the Review of Asset Pricing Studies (an earlier version of which was released as a New York Fed staff report).
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.
From 2008 to 2014 the Federal Reserve vastly increased the size of its balance sheet, mainly through its large-scale asset purchase programs (LSAPs). The resulting abundance of reserves affected the financial system in a number of ways, including by changing the intraday timing of interbank payments. In this post we show that (1) there appears to be a nonlinear relationship between the amount of reserves in the system and the timing of interbank payments, and (2) with the increase in reserves, smaller banks shifted their timing of payments more significantly than larger banks did. This result suggests that tracking the timing of payments sent by banks could provide an informative signal about the impact of the shrinking Federal Reserve balance sheet on the payments system.
Ryan Bush, Adam Kirk, Antoine Martin, Philip Weed, and Patricia Zobel
Since the financial crisis, banking regulators around the world have been intensely aware of liquidity risk and, in part as a response, have introduced the Basel III liquidity regulation. Today, the world’s largest banks hold substantial liquidity buffers comprising both securities and central bank reserves, to satisfy internal liquidity stress tests and minimum quantitative regulatory requirements. The appropriate level of liquidity buffers depends on the likely outflows in a market stress situation. In this post, we use public data to provide a rough estimate of stressed outflows that the largest banks would face and consider how they could meet these outflows.
Gizem Kosar, Kyle Smith, and Wilbert van der Klaauw
Today we are releasing new data on individuals’ experiences and expectations regarding household spending. These data have been collected every four months since December 2014 as part of our Survey of Consumer Expectations (SCE). The goal of this blog post is to introduce the SCE Household Spending Survey and highlight some of its features.
Erin Denison, Michael J. Fleming, and Asani Sarkar
Second of five posts
Expectations of creditor recovery were low when the Lehman Brothers bankruptcy process started. On the day the firm filed for bankruptcy in September 2008, the average price of Lehman’s senior bonds implied a recovery rate of about 30 percent for senior creditors. A month later the bond price was implying a recovery rate of 9 percent, consistent with results from Lehman’s CDS auction. Two and a half years later, Lehman’s estate estimated that the recovery rate for holding company creditors would be just 16 percent. So, ten years after the filing, how much did creditors actually recover?
Michael J. Fleming, Bruce Mizrach, and Giang Nguyen
It’s long been known that asset prices respond not only to public information, such as macroeconomic announcements, but also to private information revealed through trading. More recently, with the growth of high-frequency trading, academics have argued that limit orders—orders to buy or sell a security at a specific price or better—also contain information. In this post, we examine the information content of trades and limit orders in the U.S. Treasury securities market, following this paper, recently published in the Journal of Financial Markets and earlier as a New York Fed staff report.
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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