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Author: Publisher: ISBN: Category : Languages : en Pages :
Book Description
We estimate arbitrage-free term structure models of US Treasury yields and spreads on BBB and B-rated corporate bonds in a doubly- stochastic intensity-based framework. A novel feature of our analysis is the inclusion of macroeconomic variables - indicators of real activity, inflation and financial conditions - as well as latent factors, as drivers of term structure dynamics. Our results point to three key roles played by macro factors in the term structure of spreads: they have a significant impact on the level, and particularly the slope, of the curves; they are largely responsible for variation in the prices of systematic risk; and speculative grade spreads exhibit greater sensitivity to macro shocks than high grade spreads. In addition to estimating risk-neutral default intensities, we provide estimates of physical default intensities using data on Moody's KMV EDFs"!as a forward-looking proxy for default risk. We find that the real and financial activity indicators, along with filtered estimates of the latent factors from our term structure model, explain a large portion of the variation in EDFs"!across time. Furthermore, measures of the price of default event risk implied by estimates of physical and risk-neutral intensities indicate that compensation for default event risk is countercyclical, varies widely across the cycle, and is higher on average and more variable for higher- rated bonds.
Author: Publisher: ISBN: Category : Languages : en Pages :
Book Description
We estimate arbitrage-free term structure models of US Treasury yields and spreads on BBB and B-rated corporate bonds in a doubly- stochastic intensity-based framework. A novel feature of our analysis is the inclusion of macroeconomic variables - indicators of real activity, inflation and financial conditions - as well as latent factors, as drivers of term structure dynamics. Our results point to three key roles played by macro factors in the term structure of spreads: they have a significant impact on the level, and particularly the slope, of the curves; they are largely responsible for variation in the prices of systematic risk; and speculative grade spreads exhibit greater sensitivity to macro shocks than high grade spreads. In addition to estimating risk-neutral default intensities, we provide estimates of physical default intensities using data on Moody's KMV EDFs"!as a forward-looking proxy for default risk. We find that the real and financial activity indicators, along with filtered estimates of the latent factors from our term structure model, explain a large portion of the variation in EDFs"!across time. Furthermore, measures of the price of default event risk implied by estimates of physical and risk-neutral intensities indicate that compensation for default event risk is countercyclical, varies widely across the cycle, and is higher on average and more variable for higher- rated bonds.
Author: Philippe Mueller Publisher: ISBN: Category : Languages : en Pages : 72
Book Description
This paper explores the transmission of credit conditions into the real economy. Specifically, I examine the forecasting power of the term structure of credit spreads for future GDP growth. I find that the whole term structure of credit spreads has predictive power, while the term structure of Treasury yields has none. Using a parsimonious macro-finance term structure model that captures the joint dynamics of GDP, inflation, Treasury yields and credit spreads, I decompose the spreads and identify the drivers of this transmission effect. I show that there is a pure credit component orthogonal to macroeconomic information that accounts for a large part of the forecasting power of credit spreads. The macro factors themselves also contribute to the predictive power, especially for long maturity spreads. Additional factors affecting Treasury yields and credit spreads are irrelevant for predicting future economic activity. The credit factor is highly correlated with the index of tighter loan standards, thus lending support to the existence of a transmission channel from borrowing conditions to the economy. Using data from 2006-2008, I capture the ongoing crisis, during which credit conditions have heavily tightened and I show that the model provides reasonably accurate out-of-sample predictions for this period. As of year-end 2008, the model predicts a contraction of -2% in real GDP growth for 2009, which is lower than comparable survey forecasts.
Author: Evangelos Salachas Publisher: ISBN: Category : Languages : en Pages :
Book Description
In this paper we extract the factors that shape the yield curve and we relate them with macroeconomy. We examine whether the term structure can predict future economic activity by applying a range of econometric approaches both in pre- and post- crisis periods. Furthermore, we assess the strength of the yield curve forecasting power on economic activity for Eurozone. In addition, we analyze the effect of increased market risk in the term structure and economic activity whereas we evaluate the impact of monetary policy in the term structure. We find that the forecasting performance of term structure deteriorates in the post-crisis period and that credit spreads forecast better Eurozone industrial production. Also, as we find, one significant explanation for the change in predictability during pre- and post- crisis periods is due to the effect of market risk on the term structure during the post-crisis period. Finally, we argue that monetary policy determines significantly the term structure either by conventional or unconventional measures.
Author: Jeffery D. Amato Publisher: ISBN: Category : Corporate bonds Languages : en Pages : 72
Book Description
We estimate arbitrage-free term structure models of US Treasury yields and spreads on BBB and B rated corporate bonds in a doubly-stochastic intensity-based framework. A novel feature of our analysis is the inclusion of macroeconomic variables -- indicators of real activity, inflation and financial conditions -- as well as latent factors, as drivers of term structure dynamics. Our results point to three key roles played by macro factors in the term structure of spreads: they have a significant impact on the level, and particularly the slope, of the curves; they are largely responsible for variation in the prices of systematic risk; and speculative grade spreads exhibit greater sensitivity to macro shocks than high grade spreads. In addition to estimating risk-neutral default intensities, we provide estimates of physical default intensities using data on Moody's KMV EDFs as a forward--looking proxy for default risk. We find that the real and financial activity indicators, along with filtered estimates of the latent factors from our term structure model, explain a large portion of the variation in EDFs across time. Furthermore, measures of the price of default event risk implied by estimates of physical and risk-neutral intensities indicate that compensation for default event risk is countercyclical, varies widely across the cycle, and is higher on average and more variable for higher-rated bonds.
Author: Andriy Demchuk Publisher: ISBN: Category : Languages : en Pages : 35
Book Description
We build a structural two-factor model of default where the stock market index is one of the stochastic factors. We allow the firm to adjust its leverage ratio in response to changes the business climate, for which the past performance of the stock market index acts as a proxy. We assume that the firm's log-leverage ratio follows a mean-reverting process and that the past performance of the stock index negatively affects the firm's target leverage ratio. Our model shows that the past performance of the stock index returns and the correlation between the firm's assets and index returns have a significant impact on credit spreads. Hence, our model can explain why credit spreads may be different within the same credit-rating groups and why spreads are lower during economic expansions and higher during recessions. We also show that our model may explain actual yield spreads better than other well known structural credit risk models.
Author: Seung C. Ahn Publisher: ISBN: Category : Languages : en Pages : 49
Book Description
This paper provides a new approach to model the common variation in the term structure of credit spreads. The novelty is that common factors are extracted using canonical relations between credit spreads and observable economic variables. We show how these factors can be used to test if a given set of macroeconomic and financial variables is sufficient to capture all the systematic variation in response variables, such as credit spreads. We find that credit spread innovations are subject to three common factors, two strong factors and one weak factor, and they account for 49% of the total variation. The first strong factor is related to the contemporaneous state of the economy, the second represents expectations about future economic conditions, and the weak factor is mainly related to the error correction processes in short-term spreads.
Author: Zhiping Zhou Publisher: ISBN: Category : Languages : en Pages :
Book Description
We estimate a no-arbitrage term structure model of U.S. Treasury yields and corporate bond spreads with both economic factors and latent factors as drivers of term structure dynamics. We consider two sets of economic factors: macro factors consisting of inflation and real activity, and financial market factors consisting of funding liquidity and market volatility. We show that financial market factors have limited effects on the Treasury yield curve but substantial impacts on the credit spread term structure. In particular, negative liquidity shocks widen credit spreads, and this effect is more pronounced for short-term corporate bonds. We also find that out-of-sample forecasts for credit spreads improve when financial market factors are incorporated and when no-arbitrage restrictions are imposed. We also propose a minimum-chi-square method for estimating the term structure models of interest rate and credit spreads, which is more efficient and accurate than the widespread maximum-likelihood estimation.
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Author: 
Author: Philippe Mueller
Author: Evangelos Salachas
Author: Marco Sorge
Author: Jeffery D. Amato
Author: Andriy Demchuk
Author: Seung C. Ahn
Author: Liuren Wu
Author: 
Author: Zhiping Zhou