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     

Does Real Exchange Rate Volatility Affect Foreign Direct Investment? Evidence from Four Developed Economies

This study examines the impact of shocks to exchange rate uncertainty (volatility) on foreign direct investment (FDI) in Canada, Japan, the United Kingdom, and the United States. The analysis is conducted using vector autoregressive models that contain the price level, real output, the real exchange rate, the volatility of the real exchange rate, the interest rate, and FDI. The results from variance decompositions yield public policy implications. In Canada, Japan, and the United States, innovations to exchange rate uncertainty explain significant portions of the forecast error variance in FDI at longer time horizons. The impulse response functions indicate that, to the extent that shocks to exchange rate volatility have an impact on FDI, the impact is positive and takes place with a lag.     

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     

The Co‐Movement of Credit Default Swap Spreads,Equity Returns and Volatility: Evidence from Asia‐Pacific Markets

We provide a comprehensive analysis of the co‐movement of credit default swap (CDS), equity, and volatility markets in four Asia‐Pacific countries at firm and index level during the period 2007–2010. First, we examine lead–lag relationships between CDS spread changes, equity returns, and changes in volatility using a vector autoregressive model. At the firm level equity returns lead changes in CDS spreads and realized volatility. However, at the index level the intertemporal linkages between the three markets are less clear‐cut. Second, we apply the measures proposed by Diebold and Yilmaz (2014) to an analysis of volatility spillovers among the CDS, equities, and volatility asset classes. The results suggest that realized volatility (at firm level) and implied volatility (at index level) are the main transmitters of cross‐market volatility spillovers. Third, we analyze the impact of various structural factors and confirm the importance of realized volatility of equity returns as a determinant of CDS spreads.     

Inflation and Output Growth Dynamics in South Africa: Evidence from the Markov Switching Vector Autoregressive Model

This paper introduces the possibility of asymmetry in the reaction of output growth to inflation shocks in South Africa by making use of the Markov-switching vector autoregressive model. Using quarterly data from 1969Q1 to 2013Q4, the empirical finding suggests that the reaction of output growth to inflation shocks is not only regime dependent but is also contingent on how the monetary authority reacts to such shocks. Two important regimes are identified; the high and low inflation volatility regimes. Consistent with the signal extraction theory, the output effect of inflation shocks is found to be significantly lower in the high inflation volatility regime compared to the low inflation regime.     

Equity volatility,bond yields,and yield spreads

This study examines the impact of implied and contemporaneous equity market volatility on Treasury yields, corporate bond yields, and yield spreads over Treasuries. The CBOE VIX is the measure of implied volatility, and the measure of contemporaneous volatility is constructed using intraday squared S&P 500 returns. We find that bond yields and spreads respond to changes in equity market volatility in a manner consistent with a flight‐to‐quality effect. Both short‐ and long‐term Treasury yields fall in response to increases in implied volatility, and the yield curve flattens modestly. Yields on short‐term investment grade bonds fall in response to contemporaneous volatility shocks, while long‐term spreads on low‐quality issues widen. This indicates that investors “look ahead” in anticipation of changes in equity market volatility but respond more strongly to changes in contemporaneous market activity. © 2011 Wiley Periodicals, Inc. Jrl Fut Mark     

总供给冲击、总需求冲击与我国经济波动关系的实证研究

本文利用1994年1季度至2012年2季度产出和价格的季度数据,建立了基于长期约束的SVAR模型,用以分析总供给冲击和总需求冲击对我国经济波动的影响,考察经济增长和价格对总供给冲击和总需求冲击的动态响应。实证研究表明,总供给冲击和总需求冲击标准差均较大,而且总需求冲击波动性要大于总供给冲击的波动性,说明我国经济在样本数据期内存在波动性。脉冲响应分析发现,总供给冲击对于产出具有正向长期趋势,而总需求冲击对于产出具有正向短期影响;对于价格而言,总供给冲击对价格产生负向长期影响,而总需求冲击对价格产生正向长期影响。2011年以来我国经济增速持续放缓,主要在于供求冲击为负,供给负冲击更为显著。     

An Analytic Solution for Interest Rate Swap Spreads

This paper argues that liquidity differences between government securities and short–term Eurodollar borrowings account for interest rate swap spreads. It then models the convenience of liquidity as a linear function of two mean–reverting state variables and values it. The interest rate swap spread for a swap of particular maturity is the annuitized equivalent of this value. It has a closed form solution: a simple integral. Special cases examined include the Vasicek and Cox–Ingersoll–Ross one–factor term structure models. Numerical values for the parameters in both special cases illustrate that many realistic ‘swap spread term structures’ can be replicated. Model parameters are estimated using weekly data on the term structure of swap spreads from several countries. The model fits the data well.     

Low‐Frequency Volatility of Yen Interest Rate Swap Market in Relation to Macroeconomic Risk*

Using ‘low‐frequency’ volatility extracted from aggregate volatility shocks in interest rate swap (hereafter, IRS) market, this paper investigates whether Japanese yen IRS volatility can be explained by macroeconomic risks. The analysis suggests that this low‐frequency yen IRS volatility has strong and positive association with most of the macroeconomic risk proxies (e.g., volatility of consumer price index, industrial production volatility, foreign exchange volatility, slope of the term structure and money supply) with the exception of the unemployment rate, which is negatively related to IRS volatility. This finding is fairly consistent with the argument that the greater the macroeconomic risk the greater is the use of derivative instruments to hedge or speculate. The relationship between the macroeconomic risks and IRS volatility varies slightly across the different swap maturities but is robust to alternative volatility specifications. This linkage between swap market and macroeconomy has practical implications since market makers and hedgers use the swap rate as benchmark for pricing long‐term interest rates, corporate bonds and various other securities.     

Openness and growth: an interpretation of empirical evidence from East Asian countries

This study investigates the effect of openness on economic growth for rapidly growing economies in East Asia in which rapid growth has been accompanied by a persistent openness to world trade. The framework of analysis is a five-variable vector autoregressive model that consists of real output, money supply, real government spending, foreign price shocks, and openness measures. The results do not strongly support the 'new' growth theories in which increasing openness affects long-run growth. For most countries in the sample, fiscal policy shocks as well as foreign price shocks have greater impacts on economic growth than does the openness shock. The results are generally consistent with the view that the role of the government is critical for growth among the East Asian economies.     

Recent Evidence on the Oil Price Shocks on Gulf Cooperation Council Stock Markets

The recent plunge in the price of oil affected many countries, especially major oil producers and exporters, such as the Gulf Cooperation Council (GCC), which accounts for half of the global oil reserves. This paper examines the impact of oil price changes on GCC stock markets, including Bahrain, Kuwait, Oman, Qatar, Kingdom of Saudi Arabia, and United Arab Emirates over a 10-year period, 2005–2015. We examine the direction of influence and influence absorption through Granger causality and impulse response function. The results are important for portfolio management at the international level, and provide insights for government and regulatory authorities in times of oil price change. Additionally, the evidence suggests the need for more economic diversification at the country level in the GCC region to mitigate high volatility in the event of oil shocks.     

Modeling the time-varying volatility of the paper–bill spread

The spread between the rates on commercial paper and Treasury bills has received considerable attention in the literature for its role as an indicator of real economic activity. In this paper we empirically examine what happens when the volatility of the spread changes over time. We estimate a nonlinear model that enables us to discern the asymmetric impact of negative and positive shocks to the spread. We find that a positive shock has a larger impact on the volatility of the spread than does a negative shock.     

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     

我国货币政策调控对产出和通胀影响的水平效应和波动率效应研究——基于VAR模型和局部投影模型冲击反应函数的实证分析

在“三重压力”下，我国货币政策调控要实现“稳增长”和“防通胀”在水平值和波动率上的“双重稳定”,既要保持适度经济增速，又要防止通货膨胀快速上升，还要防止产出和通胀波动形成的经济风险。为此，文章使用了局部投影方法和VAR模型方法计算了数量型和价格型货币政策的冲击反应函数，以此刻画货币政策对产出增长率和通货膨胀率的水平值和波动率的动态效应。实证结果表明，数量型货币政策对经济增长率和通货膨胀率均具有水平值上的显著正向效应，同时具有降低产出波动而提升通胀波动的冲击效应；价格型货币政策也对经济增长率和通货膨胀率具有显著正向效应，同时具有降低产出波动率和通胀波动率的双重稳定功能。因此，当前货币政策操作仍然要以价格型货币政策为主，以此实现货币政策逆周期和跨周期调控功能。     

Credit Spread Changes and Monetary Policy Surprises: The Evidence from the Fed Funds Futures Market

This study analyzes the impact of monetary policy actions on credit spreads of various rating categories and maturities, using federal funds futures to distinguish between anticipated and unanticipated changes in the federal funds rate. Two proxies for monetary policy shocks are the surprise change to the current federal funds target rate (target surprise) and the shock to the future path of policy (path surprise). Although credit spreads consistently respond to the target surprises, they rarely respond to the path surprises after controlling for the effect of the target surprises. The way that credit spreads respond to the target surprises changes across the maturities of corporate bonds. In addition, the empirical analysis indicates that the effect of the target surprises on credit spreads is more significant in economic recessions than in economic booms. © 2012 Wiley Periodicals, Inc. Jrl Fut Mark 33:103–128, 2013     

Testing mean reversion in financial market volatility: Evidence from S&P 500 index futures

This article presents a comprehensive study of continuous time GARCH (generalized autoregressive conditional heteroskedastic) modeling with the thintailed normal and the fat‐tailed Student's‐t and generalized error distributions (GED). The study measures the degree of mean reversion in financial market volatility based on the relationship between discrete‐time GARCH and continuoustime diffusion models. The convergence results based on the aforementioned distribution functions are shown to have similar implications for testing mean reversion in stochastic volatility. Alternative models are compared in terms of their ability to capture mean‐reverting behavior of futures market volatility. The empirical evidence obtained from the S&P 500 index futures indicates that the conditional variance, log‐variance, and standard deviation of futures returns are pulled back to some long‐run average level over time. The study also compares the performance of alternative GARCH models with normal, Student's‐ t, and GED density in terms of their power to predict one‐day‐ahead realized volatility of index futures returns and provides some implications for pricing futures options. © 2008 Wiley Periodicals, Inc. Jrl Fut Mark 28:1–33, 2008     

系统性金融风险的度量及其时变经济效应研究

基于TVP-SV-SVAR模型，分析六个不同金融子市场风险对实体经济的实时冲击效应，结合时变脉冲响应方法构建了动态权重系统性金融风险综合指数，并区分高低风险状态探讨其对实体经济的影响。结果表明，银行部门、股票市场和外部金融市场对系统性金融风险的贡献较大；基于对实体经济冲击视角的动态权重系统性金融风险综合指数与样本期内实际金融经济事件的发展趋势一致；不同状态下系统性金融风险对经济增长的冲击效应不同：短期来看，高风险点系统性金融风险抑制经济增长，低风险点系统性金融风险促进经济增长；长期来看，系统性金融风险在高低状态下对经济增长均有负向冲击效应。研究结论对于防范和化解系统性金融风险的宏观审慎政策制定具有重要的参考意义。     

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.     

Realized Volatility Forecast: Structural Breaks,Long Memory,Asymmetry, and Day‐of‐the‐Week Effect

We investigate the properties of the realized volatility in Chinese stock markets by employing the high‐frequency data of Shanghai Stock Exchange Composite Index and four individual stocks from Shanghai Stock Exchange and Shenzhen Stock Exchange, and find that the volatility exhibits the properties of long‐term memory, structural breaks, asymmetry, and day‐of‐the‐week effect. In addition, the structural breaks only partially explain the long memory. To capture these properties simultaneously, we derive an adaptive asymmetry heterogeneous autoregressive model with day‐of‐the‐week effect and fractionally integrated generalized autoregressive conditional heteroskedasticity errors (HAR‐D‐FIGARCH) and use it to conduct a forecast of realized volatility. Compared with other heterogeneous autoregressive realized volatility models, the proposed model improves the in‐sample fit significantly. The proposed model is the best model for the day‐ahead realized volatility forecasts among the six models based on various loss functions by utilizing the superior predictive ability test.     

Markov switching GARCH models of currency turmoil in Southeast Asia

This paper analyzes exchange rate turmoil with a Markov switching GARCH model. We distinguish between two different regimes in both the conditional mean and the conditional variance: “ordinary” regime, characterized by low exchange rate changes and low volatility, and “turbulent” regime, characterized by high exchange rate devaluation and high volatility. We also allow the transition probabilities to vary over time as functions of economic and financial indicators. We find that real effective exchange rates, money supply relative to reserves, stock index returns, and bank stock index returns and volatility contain valuable information for identifying turbulent and ordinary periods.