Bond Risk Premia and Realized Jump Risk PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Bond Risk Premia and Realized Jump Risk PDF full book. Access full book title Bond Risk Premia and Realized Jump Risk by Jonathan H. Wright. Download full books in PDF and EPUB format.
Author: Jonathan H. Wright
Publisher:
ISBN:
Category :
Languages : en
Pages : 33
Get Book Here
Book Description
We find that augmenting a regression of excess bond returns on the term structure of forward rates with an estimate of the mean realized jump size almost doubles the R2 of the forecasting regression. The return predictability from augmenting with the jump mean easily dominates that offered by augmenting with options-implied volatility and realized volatility from high frequency data. In out-of-sample forecasting exercises, inclusion of the jump mean can reduce the root mean square prediction error by up to 40 percent. The incremental return predictability captured by the realized jump mean largely accounts for the countercyclical movements in bond risk premia. This result is consistent with the setting of an incomplete market in which the conditional distribution of excess bond returns is affected by a jump risk factor that does not lie in the span of the term structure of yields.
Author: Jonathan H. Wright
Publisher:
ISBN:
Category :
Languages : en
Pages : 33
Get Book Here
Book Description
We find that augmenting a regression of excess bond returns on the term structure of forward rates with an estimate of the mean realized jump size almost doubles the R2 of the forecasting regression. The return predictability from augmenting with the jump mean easily dominates that offered by augmenting with options-implied volatility and realized volatility from high frequency data. In out-of-sample forecasting exercises, inclusion of the jump mean can reduce the root mean square prediction error by up to 40 percent. The incremental return predictability captured by the realized jump mean largely accounts for the countercyclical movements in bond risk premia. This result is consistent with the setting of an incomplete market in which the conditional distribution of excess bond returns is affected by a jump risk factor that does not lie in the span of the term structure of yields.
Author: Jonathan H. Wright
Publisher:
ISBN:
Category : Bonds
Languages : en
Pages : 64
Get Book Here
Book Description
Author: Don H. Kim
Publisher:
ISBN:
Category : Bonds
Languages : en
Pages : 33
Get Book Here
Book Description
We construct a no-arbitrage term structure model with jumps in the entire state vector at deterministic times but of random magnitudes. Jump risk premia are allowed for. We show that the model implies a closed-form representation of yields as a time-inhomogenous affine function of the state vector. We apply the model to the term structure of US Treasury rates, estimated at the daily frequency, allowing for jumps on days of employment report announcements. Our model can match the empirical fact that the term structure of interest rate volatility has a hump-shaped pattern on employment report days (but not on other days). The model also produces patterns in bond risk premia that are consistent with the empirical finding that much of the time-variation in excess bond returns accrues at times of important macroeconomic data releases.
Author: John Howland Cochrane
Publisher:
ISBN:
Category : Bonds
Languages : en
Pages : 44
Get Book Here
Book Description
This paper studies time variation in expected excess bond returns. We run regressions of annual excess returns on forward rates. We find that a single factor predicts 1-year excess returns on 1-5 year maturity bonds with an R2 up to 43%. The single factor is a tent-shaped linear function of forward rates. The return forecasting factor has a clear business cycle correlation: Expected returns are high in bad times, and low in good times, and the return-forecasting factor forecasts long-run output growth. The return-forecasting factor also forecasts stock returns, suggesting a common time-varying premium for real interest rate risk. The return forecasting factor is poorly related to level, slope, and curvature movements in bond yields. Therefore, it represents a source of yield curve movement not captured by most term structure models. Though the return-forecasting factor accounts for more than 99% of the time-variation in expected excess bond returns, we find additional, very small factors that forecast equally small differences between long term bond returns, and hence statistically reject a one-factor model for expected returns
Author: David Lando
Publisher: Princeton University Press
ISBN: 1400829194
Category : Business & Economics
Languages : en
Pages : 328
Get Book Here
Book Description
Credit risk is today one of the most intensely studied topics in quantitative finance. This book provides an introduction and overview for readers who seek an up-to-date reference to the central problems of the field and to the tools currently used to analyze them. The book is aimed at researchers and students in finance, at quantitative analysts in banks and other financial institutions, and at regulators interested in the modeling aspects of credit risk. David Lando considers the two broad approaches to credit risk analysis: that based on classical option pricing models on the one hand, and on a direct modeling of the default probability of issuers on the other. He offers insights that can be drawn from each approach and demonstrates that the distinction between the two approaches is not at all clear-cut. The book strikes a fruitful balance between quickly presenting the basic ideas of the models and offering enough detail so readers can derive and implement the models themselves. The discussion of the models and their limitations and five technical appendixes help readers expand and generalize the models themselves or to understand existing generalizations. The book emphasizes models for pricing as well as statistical techniques for estimating their parameters. Applications include rating-based modeling, modeling of dependent defaults, swap- and corporate-yield curve dynamics, credit default swaps, and collateralized debt obligations.
Author: Leonardo Iania
Publisher:
ISBN:
Category :
Languages : en
Pages : 17
Get Book Here
Book Description
We employ an affine term structure model with no-arbitrage restrictions to analyze the global and domestic determinants of bond risk premia in major emerging markets. Our model captures (long-term) movements of realized risk premia and indicates that global economic and financial factors play a relevant role in explaining country-specific bond risk premia. We also provide evidence of heterogeneous responses of country-specific risk premia to global shocks.
Author: Harald Tolleshaug
Publisher:
ISBN:
Category :
Languages : en
Pages : 109
Get Book Here
Book Description
Forecasting the expected returns on bonds with increasing certainty is wanted from all rational investors in the fixed income markets. The potential for higher returns increase with the ability to forecast expected returns, through better trading payoffs and improved hedging and risk management. The expectations hypothesis was long prevailing in the academical litterature. It stated that the rational investor was expected to require zero or at least a constant excess return on bonds with long maturity over short maturity. This is equal to no time varying risk premiums. It is however reasonable for the rational investor to have time varying risk preferences based on the economic situation and outlook for the future, as described by Cochrane (1999). Thus, bonds with different maturity may be priced with different risk in an efficient market, and accordingly have time varying risk premiums. The expectations hypothesis has thus been rejected. This has been manifested through the classical studies of Fama and Bliss (1987) as well as Campbell and Shiller (1991). These studies modelled predictions of bond returns on specific maturities, with a R2 up to 18%. In a new and original approach, Cochrane and Piazzesi (2005) models a single-factor that predicts bond returns of any maturity, with a R2 up to 44%, more than doubled from the studies mentioned above. This is done on the same dataset as Fama and Bliss (1987) used and would be a big discovery within the field, if the model can be accepted across time and datasets. I test the model of Cochrane and Piazzesi (2005) based on the framework that these used originally, as well as new tests they have provided as response to critique of the model. So far, no other paper has rejected this model on all these dimensions. I use very well accepted data, and reject the model in every dimension tested. This paper is thus the rejection of the Cochrane and Piazzesi (2005) single-factor bond forecasting model.
Author: Lorenzo Bretscher
Publisher:
ISBN:
Category :
Languages : en
Pages : 100
Get Book Here
Book Description
Fiscal policy matters for bond risk premia. Empirically, government spending level and volatility predict excess bond returns. Shocks to government spending level and volatility are also priced in the cross-section of bond and stock portfolios. Theoretically, level shocks raise inflation when marginal utility is high, thus generating positive inflation risk premia (term structure level effect). Volatility shocks steepen the yield curve (slope effect), producing positive term premia. These effects are consistent with evidence from a structural VAR. Further, asset pricing tests using model simulated data corroborate our empirical findings. Lastly, fiscal shocks are amplified at the zero lower bound.
Author: Redouane Elkamhi
Publisher:
ISBN:
Category :
Languages : en
Pages : 50
Get Book Here
Book Description
We study the link between corporate bond risk premia and equity returns in a large panel of corporate bond transaction data. In contrast to previous work, we find that a significant part of the time variation in bond risk premia can be explained by equity implied bond risk premium estimates. We also document a large time variation in the expected loss component of bond spreads. This component is related to total asset volatility, whereas the risk premium is related to systematic volatility. In addition, we show by means of linear regressions that augmenting the set of variables predicted by typical structural models with equity-implied bond default risk premia significantly increases explanatory power.
Author: Sydney C. Ludvigson
Publisher:
ISBN:
Category : Bonds
Languages : en
Pages : 22
Get Book Here
Book Description
Empirical evidence suggests that excess bond returns are forecastable by financial indicators such as forward spreads and yield spreads, a violation of the expectations hypothesis based on constant risk premia. But existing evidence does not tie the forecastable variation in excess bond returns to underlying macroeconomic fundamentals, as would be expected if the forecastability were attributable to time variation in risk premia. We use the methodology of dynamic factor analysis for large datasets to investigate possible empirical linkages between forecastable variation in excess bond returns and macroeconomic fundamentals. We find that several common factors estimated from a large dataset on U.S. economic activity have important forecasting power for future excess returns on U.S. government bonds. Following Cochrane and Piazzesi (2005), we also construct single predictor state variables by forming linear combinations of either five or six estimated common factors. The single state variables forecast excess bond returns at maturities from two to five years, and do so virtually as well as an unrestricted regression model that includes each common factor as a separate predictor variable. The linear combinations we form are driven by both "real" and "inflation" macro factors, in addition to financial factors, and contain important information about one year ahead excess bond returns that is not captured by forward spreads, yield spreads, or the principal components of the yield covariance matrix.
