drivers of swap spreads


Since interest rate swaps must be reported at fair And while we have moved away from the worst of the negative levels seen at the end of 2015 it appears that negative swap spreads — especially five years and longer — are here to stay. The increase in spreads may also be due to increasing default risk and eroding liquidity in financial markets.

Meanwhile, deteriorating liquidity in the market for government securities – measured as the spread between the general collateral (GC) repo rate and the yields on highly liquid short-term government debt (He, 2000; Li, 2004; Liu, Longstaff and Mandell, 2006) – chips away at this liquidity premium and results in narrower swap spreads. "An Econometric Model of the Term Structure of Interest-Rate Swap Yields." bank’s credit spread is added to the LIBOR spot rate.

Among the key drivers of value are interest rates, since the future floating rates are unknown. 3, July 2004, pp. The methods can range from very simple to very complex, driven by the sophistication and resources of the company and also by the purpose of the analysis. 2016.

The notional principal amount on which the fixed We do not have a good way to model the changes in the relative supply of government debt in the wake of the financial crisis. Interest rate swap spreads are a key benchmark for pricing and hedging in the large universe of fixed-income securities. Within this tighter range, however, spreads can fluctuate based on issuance and/or hedging needs. Amongst all the recession chatter, what are the economic indicators really saying? The agreement matures on March 31, 2018. In our model, underfunded pension plans' demand for duration hedging leads them to optimally receive the fixed rate in long-maturity swaps. 0000003906 00000 n Also, model inputs used in swap analyses can substantially affect the fair value of Narrative scenarios describing alternative “what-if” future states of the world can help insurers be better prepared for the next economic curveball. Interest rate swaps can be classified as fair value hedges or cash flow hedges. Since spreads rise more for shorter maturities, the yield curve for swap spreads flattens, and sometimes inverts. Leading economist; recognized authority and commentator on personal finance and credit, U.S. housing, economic trends and policy implications; innovator in econometric and credit modeling techniques. 5This choice is not an example of cherry-picking, but rather reflects the UK's relevance as a financial market, its parallels to the US, and perhaps most importantly, the fact that benchmark studies exist for the UK (Lekkos and Milas, 2001), whereas similar inquiries for other countries are rare birds in the empirical forest.

The two main risks associated with interest rate swaps are interest rate risk and counterparty credit risk. That, in combination with data restrictions, is why we have kept flexible our choice of drivers for the two components to approximate the theoretical drivers listed in Section 1.
Combined with dealer banks' balance sheet constraints, this demand can drive swap spreads to become negative. The slope component captures different dynamic behavior of the short and long ends of the swap curve.


1See, e.g., Licari, Loiseau-Aslanidi, and Suarez-Lledo (2013) and Diebold and Li (2006).

Since the spread is indicative of the credit risk of the company, it is a good Under the guidance of FASB ASC 820, interest rate swaps must be reported at fair value for each reporting period. interest rate swap by being the receiver). Companies can also use hedge 21, issue 8, Aug. 2001, pp. Lekkos, Ilias and Costas Milas. Excess demand for government debt depresses government bond yields, increasing swap spreads. Further, Treasuries (against which swap spreads are computed) are "safe haven" assets whose yields fall during a crisis, so that they trade at a liquidity premium. They can balance their asset-liability duration by investing in long-term bonds or by receiving fixed interest via an interest rate swap with long maturity. This helps explain why Treasuries saw roughly the same degree of cheapening against OIS similar to the post-Lehman environment, when balance sheet was also dear. BIS statistics on the international financial system shed light on issues related to global financial stability. The panic aspect of these events rather points toward counterparty risk. In the near-term, we believe that spreads may stay near the wider end of the recent range particularly in the short end, aided by the rebound in equities and a likely slower pace of corporate issuance. Likewise, their long-term behavior matches recent history, maintaining inversion between shorter and longer tenors. The floating rate is typically based on the London Inter-Bank Offered Rate (LIBOR), York University Working Paper. More than one study has shown that liquidity is the more important determinant of swap spreads, with credit or default risk having second-order impacts (Huang and Neftci, 2003; Grinblatt, 2001; Feldhütter and Lando, 2008). 2005. LIBOR plus a spread of 1.40%. 2, issue 3, Sept. 2001, pp. All Rights Reserved.

0000003594 00000 n Turning to swap rates, we predict that a gradual normalization of interest rates will increase spreads on all tenors in the baseline, while short terms only gradually increase in the severely adverse scenarios, matched with a flat 10-year and a falling 30-year swap rate. company will decrease and the company can report a gain. From April 1987 to December 1989, the swap spreads are high and very volatile. The OIS rate is considered less risky than The value of the swap will change in subsequent periods as Second, most tenors witnessed a gradual creep-up in spreads before 2008, but some short-term spreads, especially those on UK one-year swaps, shot up abruptly before falling. Yet, instead, it declined into negative territory.

For example KfW’s recent two year deal was priced at CT2 +26.75bps and IFC’s recent 10 year deal was priced at CT10+29.5bps.

This is typical for the trade-offs we face in obtaining a consistent and feasible model approach for such a large cross section of countries. We use the Chicago Board Options Exchange (CBOE) Volatility Index (VIX) – a measure of implied volatility in US equity markets – and the rolling standard deviations of country-specific stock indexes as an additional signal of the default premiums in swap spreads. Because of the credit risk implicit in Libor, swap rates should exceed the (theoretical) risk-free rate and rise when bank credit risk increases. The metrics of the company are The first two components of the PCA, on average, cumulatively explain more than 90% of the variation in swap spreads.

At inception, the aggregate cash flows are an asset to the company, so the bank’s credit spread is used to calculate the discount factor. counterparty credit risk and forward expectations of the floating rate change. The repo market is most inexorably linked to the cost of balance sheet and therefore faces the brunt of new regulations. swap spreads and their weekly changes for the 2, 5, 7, and 10-year maturities, from April 1987 to December 2002. January, March and September typically represent large issuance months, and are often accompanied by a tightening in spreads. "Modelling and Stressing the Interest Rates Swap Curve."

A fair value hedge is for recognized assets or liabilities (i.e., a company wants to hedge the fair value of a fixed rate loan with an rate is the “payer” and the party paying the floating rate is the “receiver.”. Presented at the Credit Union National Association, Ohio Credit Union League, Already subscribed? 0000006141 00000 n

trailer With the current pandemic, what next for capital markets? We apply an error-correction methodology based on the concept of cointegration.

Existing studies of government bond yields1 across a large range of countries employ a principle component analysis (PCA) approach to decompose a yield curve into the level, slope, and curvature components. "Decomposing the Default Risk and Liquidity Components of Interest Rate Swap Spreads."

This paper presents large-scale estimated models, one for each country, representing factors driving changes in CDS (Credit Default Swap) spreads of 35 sovereigns. In this

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