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Author: Daniel L. Thornton
Publisher:
ISBN:
Category :
Languages : en
Pages : 36
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Book Description
This paper investigates the source of predictability of bond risk premia by means of long-term forward interest rates. We show that the predictive ability of forward rates could be due to the high serial correlation and cross-correlation of bond prices. After a simple reparametrization of models used to predict spot rates or excess returns, we find that forward rates exhibit much less predictive power than previously recorded. Furthermore, our economic value analysis indicates that there are no economic gains to mean-variance investors who use the predictions of these models in a stylized dynamic asset allocation strategy.
Author: Daniel L. Thornton
Publisher:
ISBN:
Category :
Languages : en
Pages : 36
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Book Description
This paper investigates the source of predictability of bond risk premia by means of long-term forward interest rates. We show that the predictive ability of forward rates could be due to the high serial correlation and cross-correlation of bond prices. After a simple reparametrization of models used to predict spot rates or excess returns, we find that forward rates exhibit much less predictive power than previously recorded. Furthermore, our economic value analysis indicates that there are no economic gains to mean-variance investors who use the predictions of these models in a stylized dynamic asset allocation strategy.
Author: Sibel Korkmaz
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
Author: Lukas Wäger
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
Author: Michael D. Bauer
Publisher:
ISBN:
Category : Bonds
Languages : en
Pages : 61
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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: Andrea Carnelli
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Author: Lucio Sarno
Publisher:
ISBN:
Category :
Languages : en
Pages : 77
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Book Description
This paper studies whether the evident statistical predictability of bond risk premia translates into economic gains for investors. We propose a novel estimation strategy for a ne term structure models that jointly fits yields and bond excess returns, thereby capturing predictive information otherwise hidden to standard es- timations. The model predicts excess returns with high regressions R^2s and high forecast accuracy but cannot outperform the expectations hypothesis out-of-sample in terms of economic value, showing a general contrast between statistical and economic metrics of forecast evaluation. More specifically, the model mostly gener- ates positive (negative) economic value during times of high (low) macroeconomic uncertainty. Overall, the expectation hypothesis remains a useful benchmark for investment decisions in bond markets, especially in low uncertainty states.
Author: Jonathan H. Wright
Publisher:
ISBN:
Category :
Languages : en
Pages : 33
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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: Jonas N. Eriksen
Publisher:
ISBN:
Category :
Languages : en
Pages : 55
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Book Description
This paper studies the predictability of bond risk premia by means of expectations to future business conditions using survey forecasts from the Survey of Professional Forecasters. We show that expected business conditions consistently affect excess bond returns and that the inclusion of expected business conditions in standard predictive regressions improve forecast performance relative to models using information derived from the current term structure or macroeconomic variables. The results are confirmed in a real-time out-of-sample exercise, where the predictive accuracy of the models is evaluated both statistically and from the perspective of a mean-variance investor that trades in the bond market.
Author: Graham Elliott
Publisher: Princeton University Press
ISBN: 0691140138
Category : Business & Economics
Languages : en
Pages : 566
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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: Anja Hubig
Publisher: Springer Science & Business Media
ISBN: 3658009187
Category : Business & Economics
Languages : en
Pages : 228
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Book Description
Against the background of the financial-cum-sovereign debt crisis, government debt managers are currently faced by a challenging environment. One key element in that respect is the analysis and forecast of interest rates, which is important for achieving the strategic objective of low borrowing costs. Anja Hubig develops a new mathematical method to estimate the term structure of interest rates, that is adopted to describe the term structure dynamics within a stochastic setting. The introduced model is capable to capture the complex behavior of the entire yield curve with a reduced set of parameters. It essentially ensures a comprehensive analysis of the costs and risks associated with individual funding strategies, and thus effectively supports the selection of a long-term optimal debt portfolio composition.
