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Author: Michael D. Bauer Publisher: ISBN: Category : Bonds Languages : en Pages : 61
Book Description
A consensus has recently emerged that variables beyond the level, slope, and curvature of the yield curve can help predict bond returns. This paper shows that the statistical tests underlying this evidence are subject to serious small-sample distortions. We propose more robust tests, including a novel bootstrap procedure specifically designed to test the spanning hypothesis. We revisit the analysis in six published studies and find that the evidence against the spanning hypothesis is much weaker than it originally appeared. Our results pose a serious challenge to the prevailing consensus.
Author: Michael D. Bauer Publisher: ISBN: Category : Bonds Languages : en Pages : 61
Book Description
A consensus has recently emerged that variables beyond the level, slope, and curvature of the yield curve can help predict bond returns. This paper shows that the statistical tests underlying this evidence are subject to serious small-sample distortions. We propose more robust tests, including a novel bootstrap procedure specifically designed to test the spanning hypothesis. We revisit the analysis in six published studies and find that the evidence against the spanning hypothesis is much weaker than it originally appeared. Our results pose a serious challenge to the prevailing consensus.
Author: Michael Bauer Publisher: ISBN: Category : Languages : en Pages : 59
Book Description
A consensus has recently emerged that a number of variables in addition to the level, slope, and curvature of the term structure can help predict interest rates and excess bond returns. We demonstrate that the statistical tests that have been used to support this conclusion are subject to very large size distortions from a previously unrecognized problem arising from highly persistent regressors and correlation between the true predictors and lags of the dependent variable. We revisit the evidence using tests that are robust to this problem and conclude that the current consensus is wrong. Only the level and the slope of the yield curve are robust predictors of excess bond returns, and there is no robust and convincing evidence for unspanned macro risk.
Author: Sydney C. Ludvigson Publisher: ISBN: Category : Bonds Languages : en Pages : 28
Book Description
This paper uses the factor augmented regression framework to analyze the relation between bond excess returns and the macro economy. Using a panel of 131 monthly macroeconomic time series for the sample 1964:1-2007:12, we estimate 8 static factors by the method of asymptotic principal components. We also use Gibb sampling to estimate dynamic factors from the 131 series reorganized into 8 blocks. Regardless of how the factors are estimated, macroeconomic factors are found to have statistically significant predictive power for excess bond returns. We show how a bias correction to the parameter estimates of factor augmented regressions can be obtained. This bias is numerically trivial in our application. The predictive power of real activity for excess bond returns is robust even after accounting for finite sample inference problems. Forecasts of excess bond returns (or bond risk premia) are countercyclical. This implies that investors are compensated for risks associated with recessions.
Author: John Howland Cochrane Publisher: ISBN: Category : Bonds Languages : en Pages : 44
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: Graham Elliott Publisher: Princeton University Press ISBN: 0691140138 Category : Business & Economics Languages : en Pages : 566
Book Description
A comprehensive and integrated approach to economic forecasting problems Economic forecasting involves choosing simple yet robust models to best approximate highly complex and evolving data-generating processes. This poses unique challenges for researchers in a host of practical forecasting situations, from forecasting budget deficits and assessing financial risk to predicting inflation and stock market returns. Economic Forecasting presents a comprehensive, unified approach to assessing the costs and benefits of different methods currently available to forecasters. This text approaches forecasting problems from the perspective of decision theory and estimation, and demonstrates the profound implications of this approach for how we understand variable selection, estimation, and combination methods for forecasting models, and how we evaluate the resulting forecasts. Both Bayesian and non-Bayesian methods are covered in depth, as are a range of cutting-edge techniques for producing point, interval, and density forecasts. The book features detailed presentations and empirical examples of a range of forecasting methods and shows how to generate forecasts in the presence of large-dimensional sets of predictor variables. The authors pay special attention to how estimation error, model uncertainty, and model instability affect forecasting performance. Presents a comprehensive and integrated approach to assessing the strengths and weaknesses of different forecasting methods Approaches forecasting from a decision theoretic and estimation perspective Covers Bayesian modeling, including methods for generating density forecasts Discusses model selection methods as well as forecast combinations Covers a large range of nonlinear prediction models, including regime switching models, threshold autoregressions, and models with time-varying volatility Features numerous empirical examples Examines the latest advances in forecast evaluation Essential for practitioners and students alike
Author: Riccardo Rebonato Publisher: ISBN: 1107165857 Category : Business & Economics Languages : en Pages : 781
Book Description
Rebonato provides an authoritative, clear, and up-to-date explanation of the cutting-edge innovations in affine modeling for government bonds, and provides readers with the precise tools to develop their own models. This book combines precise theory with up-to-date empirical evidence to build, with the minimum mathematical sophistication required for the task, a critical understanding of what drives the government bond market.
Author: Lorenzo Bretscher Publisher: ISBN: Category : Languages : en Pages : 100
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: Harald Tolleshaug Publisher: ISBN: Category : Languages : en Pages : 109
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: Lukas Wäger Publisher: ISBN: Category : Languages : en Pages : 0
Book Description
The focus of this thesis is on bond return predictability and providing an empirical and economic understanding of bond risk premia. The thesis consists of an empirical analysis of time-varying bond risk premia along three major branches of the current term structure literature, namely yields-only, macro-finance and multi-currency term structure models. All these models belong to the well-known class of affine models introduced by Ang and Piazzesi (2003), whereas the latter two embed unspanned factors. Unspanned factors are state variables that have an effect on bond risk premia but do not span the cross-section of yields, as recently introduced by Duffee (2011), Joslin, Priebsch and Singleton (2011) and Boos (2011). The section concerning yields-only models contributes by providing evidence of three priced risk premia of bonds in the US market, extending the analysis of Cochrane and Piazzesi (2005) and Boos (2011). The section concerning macrofinance models adds to the new branch of models with unspanned macro factors and extends existing research by analyzing the effects of unspanned macro factors on risk premia beyond the level risk premium and extending into a broader and longer data set of macroeconomic variables. The section concerning multi-currency models firstly introduces unspanned factors into international models by taking mutually unspanned latent yield curve factors of domestic and foreign countries as state variables. The information in foreign yield curves is found to be partly unspanned by the domestic yield curve and improves bond return predictability beyond local models.
Author: Michael D. Bauer
Author: Michael D. Bauer
Author: Michael Bauer
Author: Sydney C. Ludvigson
Author: John Howland Cochrane
Author: Graham Elliott
Author: Riccardo Rebonato
Author: Lorenzo Bretscher
Author: Harald Tolleshaug
Author: Lukas Wäger
Author: Sibel Korkmaz