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.
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.
Catherine Chen, Marco Cipriani, Gabriele La Spada, Philip Mulder, and Neha Shah
On October 14, 2016, amendments to Securities and Exchange Commission (SEC) rule 2a-7, which governs money market mutual funds (MMFs), went into effect. The changes are designed to reduce MMFs’ susceptibility to destabilizing runs and contain two principal requirements. First, institutional prime and muni funds—but not retail or government funds—must now compute their net asset values (NAVs) using market-based factors, thereby abandoning the fixed NAV that had been a hallmark of the MMF industry. Second, all prime and muni funds must adopt a system of gates and fees on redemptions, which can be imposed under certain stress scenarios. This post studies the effect of the amendments on the size and composition of the MMF industry and, in particular, whether MMF investors shifted their assets from prime and muni funds toward government funds in anticipation of the tighter regulatory regime.
Debt in China has increased dramatically in recent years, accounting for roughly one-half of all new credit created globally since 2005. The country’s share of total global credit is nearly 25 percent, up from 5 percent ten years ago. By some measures (as documented below), China’s credit boom has reached the point where countries typically encounter financial stress, which could spill over to international markets given the size of the Chinese economy. To better understand the associated risks, it is important to examine the drivers of China’s expansion in credit, the increasing complexity of its financial system, and evidence that its supply of credit may be growing more rapidly than reported. Note, however, that there are several features of China’s financial system that reduce the threat of a financial disruption.
Every quarter, senior loan officers at selected large banks around the United States are asked by Fed economists how their standards for approving business loans changed compared with the quarter before. Of all the questions in the Senior Loan Officer Opinion Survey (SLOOS), responses to that question about standards usually attract the most attention from the financial press and researchers. Relatively ignored by comparison are loan officers’ reports on how they changed interest spreads, collateral requirements, and other terms on loans they are willing to approve. Lenders can clearly expand or contract credit by altering those terms even without changing their standards for approving loans, so we investigate whether the reports on loan terms collected in the SLOOS are also informative.
Andreas Fuster, Eilidh Geddes, Benedict Guttman-Kenney, and Andrew Haughwout
Housing is by far the most important asset for most households, and, not coincidentally, housing debt dwarfs other household liabilities. The relationship between housing debt and housing values figures significantly in financial and macroeconomic stability, as events during the housing bust of 2006-12 clearly demonstrated. This week, Liberty Street Economics presents five posts touching on various aspects of housing, from the changing relationship between mortgage debt and housing equity to the future of homeownership. In today’s post, we provide estimates of housing equity and explore how vulnerable households are to declines in house prices, using methods introduced in our paper “Tracking and Stress Testing U.S. Household Leverage.”
Alexandra Altman, Kathryn Bayeux, Marco Cipriani, Adam Copeland, Scott Sherman, Brett Solimine
Editor’s note: In the data file originally released with this post, some repo volume figures were misaligned with their dates; the problem has been corrected. (December 19, 11:15 a.m.)
In its recent “Statement Regarding the Publication of Overnight Treasury GC Repo Rates,” the Federal Reserve Bank of New York, in cooperation with the U.S. Treasury Department’s Office of Financial Research, announced the potential publication of three overnight Treasury general collateral (GC) repurchase (repo) benchmark rates. Each of the proposed rates is designed to capture a particular segment of repo market activity. All three rates, as currently envisioned, would initially be based on transaction-level overnight GC repo trades occurring on tri-party repo platforms. The first rate would only include transactions in the tri-party repo market, excluding both General Collateral Finance Repo Service, or GCF Repo®, transactions and Federal Reserve transactions. (GCF Repo is a registered service mark of the Fixed Income Clearing Corporation.) Henceforth in this post, this segment will be referred to as tri-party ex-GCF/Fed. The second rate would build on the first by including GCF Repo trading activity while still excluding Federal Reserve transactions. Finally, the third rate would include tri-party ex-GCF/Fed transactions, GCF Repo transactions, and Federal Reserve transactions. The repo benchmark rates would be calculated as volume-weighted medians, as is currently the case for the production of the effective federal funds rate (EFFR) and the overnight bank funding rate (OBFR), and would be accompanied by summary statistics. The three proposed rate compositions result from staff analysis on the various market segments and characteristic trading behavior, though the New York Fed expects to work with the Board of Governors of the Federal Reserve System to seek public comment on the composition and calculation methodology for these rates before adopting a final publication plan.
Asset securitization is an important source of corporate funding in capital markets. Collateralized loan obligations (CLOs) are securitization structures that allow syndicated bank lenders and bond underwriters to repackage business loans and sell them to investors as securities. CLOs are actively overseen by a collateral manager that has the responsibility to trade loans in the portfolio to benefit from gains and mitigate losses from credit exposures. Because CLOs include a diverse portfolio of loans, a single firm that commingles its lending role with the collateral management role can reap information advantages stemming from its “originate-to-distribute” activities.
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.
James Vickery, Lauren Thomas, and Ulysses Velasquez
Profits and employment in the oil and natural gas extraction industry have fallen significantly since 2014, reflecting a sustained decline in energy prices. In this post, we look at how these tremors are affecting banks that operate in energy industry–intensive regions of the United States. We find that banks in the “oil patch” have experienced a significant rise in delinquencies on commercial and industrial loans. So far though, there appears to be limited evidence of spillovers to other types of loans and no evidence of widespread bank losses or failures in these regions.
The money market industry is in the midst of significant change. With the implementation this month of new Securities and Exchange Commission rules designed to make money market funds (MMFs) more resilient to stress, institutional prime and tax-exempt funds must report more accurate prices reflecting the net asset value (NAV) of shares based on market prices for the funds’ asset holdings, rather than promising a fixed NAV of $1 per share. The rules also permit prime funds, which invest in a mixture of corporate debt, certificates of deposit, and repurchase agreements, to impose fees or set limits on investors who redeem shares when market conditions sharply deteriorate. (Funds investing in government securities, which are more stable, are not subject to the new rules.) These changes, driven by a run on MMFs at the height of the financial crisis, add to earlier risk-limiting rules on portfolio holdings.
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.