Identifying the Factors that Affect Interest‐Rate Swap Spreads: Some Evidence from the United States and the United Kingdom

We assess the ability of the factors proposed in previous research to account for the stochastic evolution of the term structure of the U.S. and U.K. swap spreads. Using as factor proxies the level, volatility, and slope of the zero‐coupon government yield curve as well as the Treasury‐bill—London Interbank Offer Rate (LIBOR) spread and the corporate bond spread, we identify a procyclical behavior for the short‐maturity U.S. swap spreads and a countercyclical behavior for longer maturity U.S. swap spreads. Liquidity and corporate bond spreads are also significant, but their importance varies with maturity. The liquidity premium is more important for short‐maturity swap spreads, although the corporate bond spread affects long‐maturity swap spreads. For the United Kingdom, swap spreads are countercyclical across maturities. In addition, we find that shocks to the liquidity premium are more significant for long‐maturity swaps and that the links between corporate bond markets and swap markets are much stronger than in the United States. When we look at the links between U.S. and U.K. swap markets, we identify a significant influence of the U.S. factors on the U.K. swap spreads across maturities. © 2001 John Wiley & Sons, Inc. Jrl Fut Mark 21:737–768, 2001     

The components of interest rate swap spreads: Theory and international evidence

This article contains both a theoretical and an empirical analysis of the components of interest rate swap spreads defined as the difference between the fixed swap rate and the risk‐free rate of equal maturity. The components are determined by expected LIBOR spreads, default risk, and market structure. A model of the swap market incorporating debt market imperfections and corporate financing choices is used to explain participation by both swap buyers and sellers. The model also motivates an empirical relationship between swap spreads and the slope of the risk‐free term structure. The article then provides empirical evidence on the cross‐sectional and time‐series variation of swap spreads in seven international markets. The evidence is consistent with the suggested components across both markets and swap maturities as well as over time. © 2003 Wiley Periodicals, Inc. Jrl Fut Mark 23:347–387, 2003     

Common risk factors in the U.S. and UK interest rate swap markets: Evidence from a nonlinear vector autoregression approach

This paper produces evidence in support of the existence of common risk factors in the U.S. and UK interest rate swap markets. Using a multivariate smooth transition autoregression (STVAR) framework, we show that the dynamics of the U.S. and UK swap spreads are best described by a regime‐switching model. We identify the existence of two distinct regimes in U.S. and UK swap spreads; one is characterized by a “flat” term structure of U.S. interest rates and the other is characterized by an “upward” sloping U.S. term structure. In addition, we show that there exist significant asymmetries on the impact of the common risk factors on the U.S. and UK swap spreads. Shocks to UK oriented risk factors have a strong effect on the U.S. swap markets during the “flat” slope regime but a very limited effect otherwise. On the other hand, U.S. risk factors have a significant impact on the UK swap markets in both regimes. © 2004 Wiley Periodicals, Inc. Jrl Fut Mark 24:221–250, 2004     

Determinants of Japanese Yen interest rate swap spreads: Evidence from a smooth transition vector autoregressive model

This study investigates the determinants of variations in the yield spreads between Japanese yen interest rate swaps and Japan government bonds for a period from 1997 to 2005. A smooth transition vector autoregressive (STVAR) model and generalized impulse response functions are used to analyze the impact of various economic shocks on swap spreads. The volatility based on a GARCH (generalized autoregressive conditional heteroskedasticity) model of the government bond rate is identified as the transition variable that controls the smooth transition from a high volatility regime to a low volatility regime. The break point of the regime shift occurs around the end of the Japanese banking crisis. The impact of economic shocks on swap spreads varies across the maturity of swap spreads as well as regimes. Overall, swap spreads are more responsive to the economic shocks in the high volatility regime. Moreover, a volatility shock has profound effects on shorter maturity spreads, whereas the term structure shock plays an important role in impacting longer maturity spreads. Results of this study also show noticeable differences between the nonlinear and linear impulse response functions. © 2008 Wiley Periodicals, Inc. Jrl Fut Mark 28:82–107, 2008     

The Chinese interbank repo market: An analysis of term premiums

Because of the lack of short‐term government bonds, the interbank repo market in China has been providing the best information about market‐driven short‐term interest rates since its inception. This article examines the behavior of the repo rates of various terms and their term premiums. The work in this article supplements the study by F. Longstaff (2000), which reports supportive evidence for the pure expectations hypothesis over the short range of the term structure with the use of repo data from the United States. It is found that the pure expectations hypothesis is statistically rejected, although the term premiums are economically small. It is shown that the short‐term repo rate, repo rate volatility, repo market liquidity, and repo rate spreads are all important in determining the term premiums. © 2006 Wiley Periodicals, Inc. Jrl Fut Mark 26:153–167, 2006     

Affine multiple yield curve models

We provide a general and tractable framework under which all multiple yield curve modeling approaches based on affine processes, be it short rate, Libor market, or Heath–Jarrow–Morton modeling, can be consolidated. We model a numéraire process and multiplicative spreads between Libor rates and simply compounded overnight indexed swap rates as functions of an underlying affine process. Besides allowing for ordered spreads and an exact fit to the initially observed term structures, this general framework leads to tractable valuation formulas for caplets and swaptions and embeds all existing multicurve affine models. The proposed approach also gives rise to new developments, such as a short rate type model driven by a Wishart process, for which we derive a closed‐form pricing formula for caplets. The empirical performance of two specifications of our framework is illustrated by calibration to market data.     

Dissecting interbank risk using basis swap spreads

This paper analyses interbank risk using the information content of basis swap (BS) spreads, floating-to-floating interest rate swaps whose payments are associated with euro deposit rates for alternative tenors. To identify the impact of shocks affecting interbank risk, we propose an empirical model that decomposes BS quotes into their expected and unexpected components. These unobservable constituents of BS spreads are estimated by solving a signal extraction problem using a particle filter. We find that expected components covariate with aggregate liquidity and risk aversion while systemic risk arises as the main driver behind unexpected fluctuations. Our empirical findings suggest that macroprudential analysis emerges as a key device to ease asset pricing in a new multi-curve scenario.     

The Relation Between Market Liquidity and Anonymity in the Presence of Tick Size Constraints

In February 2004, the Sydney Futures Exchange removed broker identifiers from the electronic limit order book for interest rate futures contracts, with the stated objective of maintaining transparency and improving market participation and liquidity. We show how the Exchange's aims were generally met by documenting an increase in volume and frequency of trades and a decline in time‐weighted quoted spreads. Although daily effective spreads do not decline, intraday analysis demonstrates that there are improvements in effective spreads which are concentrated to those points in time where the bid–ask spread is not constrained by the size of the minimum tick, and where information asymmetries are present. © 2012 Wiley Periodicals, Inc. Jrl Fut Mark 34:56–73, 2014     

Economic policy uncertainty,CDS spreads,and CDS liquidity provision

Using a news-based index of economic policy uncertainty (EPU), we find that EPU is positively associated with credit default swap (CDS) spreads and negatively associated with the number of liquidity providers in the CDS market. A 10% increase in EPU leads to an 8.4% increase in CDS spreads and a 4.0% decrease in the number of liquidity providers. Furthermore, the effects of EPU are persistent and robust after controlling for macroeconomic variables. Our results are also robust to different econometric methodologies. Overall, our findings suggest that, when EPU is high, investors find credit protection more costly and difficult to purchase.     

Do designated market makers improve liquidity in open‐outcry futures markets?

On February 1, 2002, the Chicago Board of Trade appointed a designated market maker to enhance liquidity in its 10‐year interest rate swap futures contract. This market‐making program is the first of its kind in the open‐outcry futures industry. We find that introduction of the market maker has increased volume and reduced transaction costs. The market maker has also enhanced the speed and the efficiency of price discovery. Overall, the results suggest that the market‐making program is successful in improving liquidity. © 2004 Wiley Periodicals, Inc. Jrl Fut Mark 24:479–502, 2004     

Principal components analysis for correlated curves and seasonal commodities: The case of the petroleum market

This article presents a family of term structure models that can be applied to value contingent claims in multicommodity and seasonal markets. We apply the framework to the futures contracts on crude and heating oils trading on NYMEX. We show how to deal with the problem of having to value products depending on the “whole” market, such as spread options on contracts on a single commodity maturing at different times (time‐spreads) or spread options on the added value of the products derived from the raw commodity (crack spreads). Also, we show how to build term structure models for a commodity that experiences seasonality, such as heating oil. © 2002 Wiley Periodicals, Inc. Jrl Fut Mark 22:1019–1035, 2002     

Long‐term information,short‐lived securities

The authors explore strategic trade in short‐lived securities by agents who have private information that is potentially long‐term, but do not know how long their information will remain private. Trading short‐lived securities is profitable only if enough of the private information becomes public prior to contract expiration; otherwise the security will worthlessly expire. How this results in trading behavior fundamentally different from that observed in standard models of informed trading in equity is highlighted. Specifically, it is shown that informed speculators are more reluctant to trade shorter‐term securities too far in advance of when their information will necessarily be made public, and that existing positions in a shorter‐term security make future purchases more attractive. Because informed speculators prefer longer‐term securities, this can make trading shorter‐term contracts more attractive for liquidity traders. The conditions are characterized under which liquidity traders choose to incur extra costs to roll over short‐term positions rather than trade in distant contracts, providing an explanation for why most longer‐term derivative security markets have little liquidity and large bid‐ask spreads. © 2006 Wiley Periodicals, Inc. Jrl Fut Mark 26:465–502, 2006     

A two‐mean reverting‐factor model of the term structure of interest rates

This article presents a two‐factor model of the term structure of interest rates. It is assumed that default‐free discount bond prices are determined by the time to maturity and two factors, the long‐term interest rate, and the spread (i.e., the difference) between the short‐term (instantaneous) risk‐free rate of interest and the long‐term rate. Assuming that both factors follow a joint Ornstein‐Uhlenbeck process, a general bond pricing equation is derived. Closed‐form expressions for prices of bonds and interest rate derivatives are obtained. The analytical formula for derivatives is applied to price European options on discount bonds and more complex types of options. Finally, empirical evidence of the model's performance in comparison with an alternative two‐factor (Vasicek‐CIR) model is presented. The findings show that both models exhibit a similar behavior for the shortest maturities. However, importantly, the results demonstrate that modeling the volatility in the long‐term rate process can help to fit the observed data, and can improve the prediction of the future movements in medium‐ and long‐term interest rates. So it is not so clear which is the best model to be used. © 2003 Wiley Periodicals, Inc. Jrl Fut Mark 23: 1075–1105, 2003     

Vulnerable options,risky corporate bond,and credit spread

In the current literature, the focus of credit‐risk analysis has been either on the valuation of risky corporate bond and credit spread or on the valuation of vulnerable options, but never both in the same context. There are two main concerns with existing studies. First, corporate bonds and credit spreads are generally analyzed in a context where corporate debt is the only liability of the firm and a firm’s value follows a continuous stochastic process. This setup implies a zero short‐term spread, which is strongly rejected by empirical observations. The failure of generating non‐zero short‐term credit spreads may be attributed to the simplified assumption on corporate liabilities. Because a corporation generally has more than one type of liability, modeling multiple liabilities may help to incorporate discontinuity in a firm’s value and thereby lead to realistic credit term structures. Second, vulnerable options are generally valued under the assumption that a firm can fully pay off the option if the firm’s value is above the default barrier at the option’s maturity. Such an assumption is not realistic because a corporation can find itself in a solvent position at option’s maturity but with assets insufficient to pay off the option. The main contribution of this study is to address these concerns. The proposed framework extends the existing equity‐bond capital structure to an equity‐bond‐derivative setting and encompasses many existing models as special cases. The firm under study has two types of liabilities: a corporate bond and a short position in a call option. The risky corporate bond, credit spreads, and vulnerable options are analyzed and compared with their counterparts from previous models. Numerical results show that adding a derivative type of liability can lead to positive short‐term credit spreads and various shapes of credit‐spread term structures that were not possible in previous models. In addition, we found that vulnerable options need not always be worth less than their default‐free counterparts. © 2001 John Wiley & Sons, Inc. Jrl Fut Mark 21:301–327, 2001     

Depths and spreads in futures markets: Relationship with order execution,submission, and cancellation

This paper examines the relationship between limit order submissions and liquidity. We find that there is a negative relationship between the limit order arrival rate and the depth at the best quotes (limit order queue length) and a positive relationship between submissions and bid–ask spreads. This is consistent with queuing theory, which predicts that an increase in the limit order arrival rate increases the queue length and the time to execution of a limit order. Consequently, limit order traders cover the increase in costs and risks associated with the increase in the time to execution of limit orders by increasing bid–ask spread.     

Testing the liquidity preference hypothesis using survey forecasts

We evaluate the liquidity preference hypothesis (LPH) for the term structure of interest rates in a different way. Instead of using bond returns as traditional approaches, we use interest rate surveys with market expectations in order to evaluate LPH. This approach allows us to disentangle the effect of the changes in interest rate expectations from the liquidity premium. We found empirical support for the LPH with Brazilian data using both traditional and survey methods. However, the evaluation with interest rate surveys gives a higher statistical confidence level than the traditional approach when we perform tests for term premium monotonicity.     

A Leland model for delta hedging in central risk books

Using a tractable extension of the model of Leland (1985), we study how a delta-hedging strategy can realistically be implemented using market and limit orders in a centralized, automated market-making desk that integrates trading and liquidity provision for both options and their underlyings. In the continuous-time limit, the optimal limit-order exposure can be computed explicitly by a pointwise maximization. It is determined by the relative magnitudes of adverse selection, bid–ask spreads, and volatilities. The corresponding option price—from which the option can be replicated using market and limit orders—is characterized via a nonlinear PDE. Our results highlight the benefit of tactical liquidity provision for contrarian trading strategies, even for a trading desk that is not a competitive market maker. More generally, the paper also showcases how reduced-form models are competitive with “brute force” numerical approaches to market microstructure. Both the estimation of microstructure parameters and the simulation of the optimal trading strategy are made concrete and reconciled with real-life high frequency data.     

Pricing and hedging illiquid energy derivatives: An application to the JCC index

In this paper a simple strategy for pricing and hedging a swap on the Japanese crude oil cocktail (JCC) index is discussed. The empirical performance of different econometric models is compared in terms of their computed optimal hedge ratios, using monthly data on the JCC over the period January 2000–January 2006. An explanation to how to compute a bid/ask spread and to construct the hedging position for the JCC swap contract with variable oil volume is provided. The swap pricing scheme with backtesting and rolling regression techniques is evaluated. The empirical findings show that the price‐level regression model permits one to compute more precise optimal hedge ratios relative to its competing alternatives. © 2008 Wiley Periodicals, Inc. Jrl Fut Mark 28:464–487, 2008     

The Term Structure of Simple Forward Rates with Jump Risk

This paper characterizes the arbitrage-free dynamics of interest rates, in the presence of both jumps and diffusion, when the term structure is modeled through simple forward rates (i.e., through discretely compounded forward rates evolving continuously in time) or forward swap rates. Whereas instantaneous continuously compounded rates form the basis of most traditional interest rate models, simply compounded rates and their parameters are more directly observable in practice and are the basis of recent research on "market models." We consider very general types of jump processes, modeled through marked point processes, allowing randomness in jump sizes and dependence between jump sizes, jump times, and interest rates. We make explicit how jump and diffusion risk premia enter into the dynamics of simple forward rates. We also formulate reasonably tractable subclasses of models and provide pricing formulas for some derivative securities, including interest rate caps and options on swaps. Through these formulas, we illustrate the effect of jumps on implied volatilities in interest rate derivatives.     

Country spreads and emerging countries: Who drives whom?

This paper attempts to disentangle the intricate relation linking the world interest rate, country spreads, and emerging-market fundamentals. It does so by using a methodology that combines empirical and theoretical elements. The main findings are: (1) US interest rate shocks explain about 20% of movements in aggregate activity in emerging economies. (2) Country spread shocks explain about 12% of business cycles in emerging economies. (3) In response to an increase in US interest rates, country spreads first fall and then display a large, delayed overshooting; (4) US-interest-rate shocks affect domestic variables mostly through their effects on country spreads; (5) The feedback from emerging-market fundamentals to country spreads significantly exacerbates business-cycle fluctuations.