scispace - formally typeset
Open AccessJournal ArticleDOI

Short-Run Bond Risk Premia

Reads0
Chats0
TLDR
The authors empirically examined the predictability of the market variance risk premium, a proxy of economic uncertainty, for bond risk premia and showed the strong predictive power for the one month horizon that almost entirely disappears for horizons above one year.
Abstract
In the short-run, bond risk premia exhibit pronounced spikes around major economic and financial crises. In contrast, long-term bond risk premia feature cyclical swings. We empirically examine the predictability of the market variance risk premium – a proxy of economic uncertainty – for bond risk premia and we show the strong predictive power for the one month horizon that almost entirely disappears for horizons above one year. The variance risk premium is largely orthogonal to well-established bond return predictors – forward rates, jumps, yield curve factors, and macro variables. We rationalize our empirical findings in an equilibrium model of uncertainty about consumption and inflation which is coupled with recursive preferences. We show that the model can quantitatively explain the levels of bond and variance risk premia as well as the predictive power of the variance risk premium while jointly matching salient features of other asset prices.

read more

Content maybe subject to copyright    Report

warwick.ac.uk/lib-publications
Manuscript version: Author’s Accepted Manuscript
The version presented in WRAP is the author’s accepted manuscript and may differ from the
published version or Version of Record.
Persistent WRAP URL:
http://wrap.warwick.ac.uk/122258
How to cite:
Please refer to published version for the most recent bibliographic citation information.
If a published version is known of, the repository item page linked to above, will contain
details on accessing it.
Copyright and reuse:
The Warwick Research Archive Portal (WRAP) makes this work by researchers of the
University of Warwick available open access under the following conditions.
Copyright © and all moral rights to the version of the paper presented here belong to the
individual author(s) and/or other copyright owners. To the extent reasonable and
practicable the material made available in WRAP has been checked for eligibility before
being made available.
Copies of full items can be used for personal research or study, educational, or not-for-profit
purposes without prior permission or charge. Provided that the authors, title and full
bibliographic details are credited, a hyperlink and/or URL is given for the original metadata
page and the content is not changed in any way.
Publisher’s statement:
Please refer to the repository item page, publisher’s statement section, for further
information.
For more information, please contact the WRAP Team at: wrap@warwick.ac.uk.

Short-Run Bond Risk Premia
Philippe Mueller
Warwi ck Business School
Andrea Vedolin
Boston University
Hao Zhou
Tsinghua University
§
Abstract
In the short-run, bon d risk premia exhibit pronoun ced spikes around major economic and financial
crises. In contrast, long-term bond risk premia feature cyclical swings. We empirically examine the
predictability of the market variance risk premium—a proxy of economic uncertainty—for bond risk
premia and we show the strong p redictive power for the one month horizon that quickly recedes for
longer horizons. The variance risk premium is largely orthogonal to well-established bond return
predictors—forward rates, jumps, and macro variables. We rationalize our empirical findings in an
equilibrium model of u ncertainty about consumption and inflation which is coupled with recursive
preferences. We show that the model can quantitatively explain the levels of bond and variance
risk pr emia as well as the predictive power of the variance risk premium while jointly matching
salient f eatures of other asset prices.
This Version: February 2019.
JEL Classification Codes: G12, G13, G17, E43, E44.
Keywords: Variance risk premium , bond risk premia, expectations hypothesis, inflation dynamics,
economic u ncertainty.
We would like to thank Tim Bollerslev, Mike Chernov, Frank Diebold, Urban Jermann, George Tauchen,
and seminar participants at Lund, Duke, LSE, and HKUST for their helpful comments. Muelle r and Vedolin
gratefully acknowledge the financial support from STICERD and the Systemic Risk Centre at LSE, and the
British Academy.
Finance Group, Gibbet Hill Road, Coventry CV4 7AL, United Kingdom, Phone: +44 24 761 50505,
Email:
philippe.mueller@wbs.ac.uk.
Questrom Scho ol of Business, 595 Commonwe alth Avenue, Bosto n, MA 02215, Phone: +1 617 35 3 4168,
Email:
avedolin@bu.edu.
§
PBC School of Finance, 43 Chengfu Road, Haidian Distr ict, Beijing, 100083, P. R. China, Phone: +86
10 62790655, Email:
zhouh@pbcsf.tsinghua.edu.cn.

Short-Run Bond Risk Premia
Abstract
In the short-run, bond risk premia exhibit pro nounced spikes around major economic and
financial crises. In contrast, long-term bond risk premia feature cyclical swings. We empiri-
cally examine the predictability o f the market variance risk premium—a proxy of economic
uncertainty—for bond risk premia and we show the strong predictive power for the one
month horizon that quickly recedes for longer horizons. The variance risk premium is largely
orthogonal to well-established bond return predictors—forward rates, jumps, and macro vari-
ables. We rationalize our empirical findings in an equilibrium model of uncertainty about
consumption and inflatio n which is coupled with recursive preferences. We show t hat the
model can quantitatively explain the levels of b ond and variance risk premia as well as the
predictive power of the variance risk premium while joint ly matching salient f eat ur es of other
asset prices.
JEL Classi cation Codes: G12 , G13, G17, E43, E44.
Keywords: Variance risk premium, bond risk premia, expectations hypothesis, inflation dy-
namics, economic uncertainty.

1 Introduct ion
The failur e of the expectations hypothesis of the term structure of interest rates, first doc-
umented in Fama and Bliss (1987) and Campbell and Shiller (1991), has received unprece-
dented attention in bot h the empirical and theoretical academic literature over the past 20
years. In this paper, we first document the large and significant predictive power of the
variance risk premium, defined as the difference between the risk-neutral and statistical ex-
pectations of realized variance, for bond risk premia at very short horizons. This short-run
forecastability is orthogonal to the well documented long horizon predictability from forward
rates (Cochrane and Piazzesi, 2005), macro variables ( Ludvigson and Ng, 2009), and jump
risk (Wright and Zhou, 2009).
1
We then posit an economy with time-varying uncertainty
risk about real and nominal quantities coupled with agents’ preferences for an early reso-
lution of uncertainty and show that these ingredients are enough to quantitatively explain
the violation of the expectation hypothesis while matching the moments of the variance risk
premium, t he equity premium, and risk-free rate.
To capture this short-r un uncertainty component of bond r isk premia, we rely on the
market variance r isk premium—or the difference between risk-neutral and objective expec-
tations of the return variation. Following the path of previous work, we proxy the risk
neutral expected variance by the popula r VIX
2
index, which is termed as “market gauge of
fear” (Whaley, 2000). With high frequency intraday data of futures o n the S&P 500, we use
heterogeneous auto r egr essive models of realized variance (HAR-RV model, see Corsi, 2009)
augmented by lags of implied variances (Dr echsler and Yaron, 2 011) for estimating the ob-
jective expectation of variance risk. Our average variance risk premium is 21.5 7 (percenta ge
squared monthly basis) and falls within the typical range of recent empirical estimates. More
importantly, our t ime-series of variance risk premium always remains positive, which makes
it a natural candidat e measure for economic uncertainty or even stochastic risk aversion.
We document t he predictive power of the bond variance risk premium for short-run bond
risk premia using various data. We show that the variance risk premium is a significant
1
Cieslak and Povala (2010) de comp ose long-term yields into a pe rsistent component and cycles and find
that the cyclical component is a strong predictor encompassing several o ther ones. Duffee (2011) estimates
a five factor Gaussian model using Treasury y ie lds and extracts a latent factor, that is “hidden” from—or
weakly spanned by—the cross-section of yields but has bearing on excess bond r e turns. Huang and Shi
(2010) construct a single macro factor using a group lasso method and show that this factor almost doubles
the R
2
compared to Ludvigson and Ng (2009).
1

predictor for one month excess returns on bond portfolios with underlying maturities ranging
between zero and ten years obtained from CRSP. The same results hold when calculating
one month excess returns on bonds with maturities ranging from two months to ten years
calculated using the G¨urkaynak, Sack, and Wright ( 2007) dataset. The same results hold
when using the variance risk premium to fo r ecast one month Treasury bill excess returns.
However, the variance risk premium only has negligible forecasting power for longer horizon
excess returns and in particular, it has zero predictive power f or one year excess returns
on two to five year Treasury bonds, which are in general used to run bond pr edictability
regressions. We show that the short-run forecasting power is robust to the inclusion of other
well established bond risk premium predictors such as forward rates, macro variables, and
jump risk. While these variables have previously been shown to predict bond risk premia
for longer maturities, they do not subsume the significance of the variance risk premium at
shorter horizons and in some cases even have zero predictive power.
The intuition fo r our empirical result becomes more evident when we look at the time
series of short term bond risk premia. Bond risk premia at short horizons exhibit pronounced
spikes around major economic and financial crises. This pattern is distinctly different f r om
the cyclical swings with a length of up to several years typically observed in long term bond
risk premia (see Fama and Bliss, 1987 and Cochrane and Piazzesi, 2005). Interestingly,
the variance risk premium exhibits a similar time-series behavior as short-term bonds: It
rises sharply before economic or financial crises and then drops again. On the o ther hand,
standard predictors like the CP factor display a strong cyclical behavior (see Koijen, Lustig,
Van Nieuwerburgh, 2010). The upshot is that short-term variation in bo nd risk premia
are related to economic uncertainty which are short- lived (see Bloom, 200 9) rather than a
business cycle component which is more apparent in bond risk pr emia of longer maturities.
We propose a potential explanation for this short-run predictability in an economy with
time-varying economic uncertainty about real and nominal quantities, extending the real
uncertainty model of Bollerslev, Tauchen, and Zhou (2009).
2
In an economy with stochas-
tic inflation volatility but with only exogenous shocks, money neutrality holds and there
is no inflation risk premium except for the standard Jensen’s inequality term (see Zhou,
2
Wu (2008), Hasseltoft (2010), and Doh (2010) study the long-run risk models for term structure with
both real and nominal uncertainty. However, they also rely on the small persistent gr owth component and
they do not exa mine predictability of the variance risk premium.
2

Citations
More filters
Journal ArticleDOI

Stock Return Predictability and Variance Risk Premia : Statistical Inference and International Evidence

TL;DR: In this article, the authors show that the variance risk premium predicts aggregate stock market returns and demonstrate that statistical finite sample biases cannot explain the apparent predictability of stock market return in the U.S. They also show that country specific regressions for France, Germany, Japan, Switzerland, and U.K result in quite similar patterns.
Journal ArticleDOI

Stock Return Predictability and Variance Risk Premia: Statistical Inference and International Evidence

TL;DR: In this article, the variance risk premium, or the difference between risk-neutral and statistical expectations of the future return variation, predicts aggregate stock market returns, with the predictability especially strong at the 2-4 month horizons.
Journal ArticleDOI

The price of variance risk

TL;DR: This article showed that between 1996 and 2014, it was costless on average to hedge news about future variance at horizons ranging from 1 quarter to 14 years, and only unexpected, transitory realized variance was significantly priced.
Journal ArticleDOI

Risk, Uncertainty, and Expected Returns

TL;DR: In this paper, a conditional asset pricing model with risk and uncertainty implies that the time-varying exposures of equity portfolios to the market and uncertainty factors carry positive risk premiums.
Journal ArticleDOI

International Bond Risk Premia

TL;DR: In this article, the authors find evidence for time-varying risk premia across international bond markets, and they consider an affine term-structure model in which risk premias are driven by one local and one global factor.
References
More filters
ReportDOI

A simple, positive semi-definite, heteroskedasticity and autocorrelation consistent covariance matrix

Whitney K. Newey, +1 more
- 01 May 1987 - 
TL;DR: In this article, a simple method of calculating a heteroskedasticity and autocorrelation consistent covariance matrix that is positive semi-definite by construction is described.
Posted Content

The Impact of Uncertainty Shocks

TL;DR: In this paper, a model with a time varying second moment is proposed to simulate a macro uncertainty shock, which produces a rapid drop and rebound in aggregate output and employment, which occurs because higher uncertainty causes firms to temporarily pause their investment and hiring.
Posted Content

The Dividend-Price Ratio and Expectations of Future Dividends and Discount Factors

TL;DR: In this article, a linearization of a rational expectations present value model for corporate stock prices produces a simple relation between the log dividend-price ratio and mathematical expectations of future log real dividend changes and future real discount rates.
Posted Content

Risks for the Long Run: A Potential Resolution of Asset Pricing Puzzles

TL;DR: In this article, the authors show that news about growth rates significantly alter agent's perceptions regarding long run expected growth rates and growth rate uncertainty, which leads to a large equity risk premium, low risk free interest rate, and large market volatility.
Journal ArticleDOI

Macroeconomic Forecasting Using Diffusion Indexes

TL;DR: This paper used principal component analysis (PCA) to predict macroeconomic time series variable using a large number of predictors, and the predictors were summarized using a small number of indexes constructed by principal component analyzer.
Related Papers (5)
Frequently Asked Questions (16)
Q1. What have the authors contributed in "Short-run bond risk premia" ?

The authors empirically examine the predictability of the market variance risk premium—a proxy of economic uncertainty—for bond risk premia and they show the strong predictive power for the one month horizon that quickly recedes for longer horizons. The authors show that the model can quantitatively explain the levels of bond and variance risk premia as well as the predictive power of the variance risk premium while jointly matching salient features of other asset prices. 

Combining both a consumption growth channel and a uncertainty channel of non-neutral inflation dynamics, leads to reasonable and rich bond risk premia. 

In order to limit the loss of available data and because VIX is only available starting in January 1990, the authors use the squared VXO as their implied variance proxy on the RHS of the regression. 

The upshot is that short-term variation in bond risk premia are related to economic uncertainty which are short-lived (see Bloom, 2009) rather than a business cycle component which is more apparent in bond risk premia of longer maturities. 

Cochrane and Piazzesi (2005) find that a linear combination of forward rates is the most powerful predictor for long-term bond returns. 

To have a consistent source of yields for calculating monthly and yearly excess returns, the authors also use the Gürkaynak, Sack, and Wright (2007, GSW dataset) dataset, which allows constructing one month excess returns for longer maturity bonds. 

There is significant idiosyncratic behavior in the shortest maturity yields, which may be partly due to increased market segmentation. 

For the bond portfolios, the variance risk premium has marginal predictive power for portfolios with short underlying maturities, while no predictability exists for longer maturity portfolios. 

The overshooting of the risk-free rate volatility and underfitting of long term bond risk premia are closely related outcomes of limiting the setup to only three risk factors. 

This short-run forecastability is orthogonal to the well documented long horizon predictability from forward rates (Cochrane and Piazzesi, 2005), macro variables (Ludvigson and Ng, 2009), and jump risk (Wright and Zhou, 2009).1 

Their real economy model can match the observed (pre-crisis) variance risk premium reasonably well with a mean of 10.84 and a standard deviation of 10.34. 

16Their calibration result suggests that the proposed inflation uncertainty model not only has the capability to replicate the predictability pattern of the variance risk premium for bond risk premia documented in recent research, but also matches the level of bond risk premia typically hard to pin down in structural economic models. 

It is interesting to note that when money neutrality is violated as in Model III, the modelimplied bond risk premia can be dramatically lowered to around 86-113 bps, compared to the exogenous inflation Model II (around 185-385 bps). 

the authors use the Fama T-bill structures from CRSP to compute short horizon excess returns on T-bills ranging between two and six months. 

The variance risk premium contains relevant information for short-run bond risk premia for bonds of any maturity while it has no predictive power for longer horizon excess returns. 

The conditional variance of the time t to t+1 return, σ2r,t ≡ Vart(rt+1), is given by: σ2r,t = σ2g,t + κ 2 1 ( A2σ + A 2 qϕ 2 q ) qt.