Interest Rate Volatility and Business Cycle Expectations

AuthorMaría‐Isabel Martínez‐Serna,Eliseo Navarro
Date01 March 2015
DOIhttp://doi.org/10.1111/1468-2362.12061
Published date01 March 2015
Interest Rate Volatility and
Business Cycle Expectations
Mar
ıa-Isabel Mart
ınez-Serna
y
and Eliseo Navarro
z
y
Department of Management and Finance, University of Murcia, Murcia,
Spain, and
z
Department of Economy and Management, University of
Alcal
a, Alcal
a de Henares, Madrid, Spain.
Abstract
One explanation for the usefulness of nancial variables as tools for
economic forecasting is that they embody individual and rm expect-
ations of future economic conditions. In this paper, we analyse whether
interest rate volatility contains information on agent expectations which
are directly measured by condence indicators. For the sake of robust-
ness, we use several different expectation indicators for the two countries
we analyse, the US and Germany. We propose using a forward-looking
measure of volatility: the implied volatility of one year cap options. We
nd that implied volatility adds explanatory power to the yield spread
and to changes in the short rate, which are typical predictors of the
business cycle, and outperforms realized volatility.
I. Introduction
The forward- looking n ature of nanci al markets provi des one exp lanation fo r
nancial variablespower for predicting macroeconomi c growth. That is, th e prices
The authors acknowledge nanc ial support from the g rant MEC ECO2011-281 34. M.-I. Mart
ınez-
Serna is grateful for t he nancial support provid ed by Fundaci
on Cajamurcia.
International Finance 18:1, 2015: pp. 6991
DOI: 10.1111/1468-2362.12061
© 2015 John Wiley & Sons Ltd
of nancial assets embody individual and rm expectations of future economic
conditions. One of the main di fculties in testin g this hypothesis conce rns the
problem of measuring expe ctations. For instan ce, past literature has relie d on the
rational expe ctations hypot hesis, using ex-p ost data on output or consu mption
growth as proxies for the ir expected value. In thi s paper, we attempt to overcome
the problem of modelli ng expectations by employing condence ind icators as direct
measures of expected econ omic growth. These in dices (such as the IFO Bus iness
ClimateIndexortheConferenceBoardConsumerCondence Index) can be
considered good proxies for agent expect ations because they are bas ed on surveys
in which respondents express whether they believe economic conditions will
improve or wor sen. More over, sever al papers h ave provid ed evid ence of t he
sentiment indicespredictive power for economic act ivity.
1
Regarding nancial va riables, we focus in par ticular on the in formational content
of interest rates and their vol atilities with resp ect to expected econom ic growth.
Considerable empirical evidence indicates that the slope of the yield curve and the
change in the short rate are goo d predictors of future economic ac tivity in diffe rent
countries and time pe riods.
2
However, and more importantly, the recent literature
concerning tools for economic foreca sting has focused on the secon d moment of
nancial asset returns as a measure of nancial market uncertainty and has found
systematic movements in nanc ial volatility to be countercycli cal; that is, volati lity
tends to increase during ha rsh times. In particul ar, the countercyclical behaviour of
interest rate volatility has been documented by Bansal a nd Zhou (2002), Sun (2005)
and Gerlach et al. (2006) in the US and several European countries.
Nevertheless, relatively lit tle empirical research ha s been devoted to the ability of
interest rate volatilit y to predict mac roeconomic variable s. Interest rate volatili ty
may be useful in forec asting economic a ctivity, as it proxies for uncer tainty in the
future path of interest rates and can the refore be considered a measurement of
uncertainty in e conomic and monetar y policies.
3
In this regard, this paper is related
to the recent and rapidly growing li terature on the importance of un certainty shocks
in explaining m acroeconomic uctuat ions.
4
In general terms, a ccording to the real-
options explanat ion, uncertainty reduce s the level of consumption and invest ment
because it makes consumers and rm s more cautious about buying dur able goods
1
See, for example, Fuhrer (1993) , Matsusaka and Sbordone (1995) , Vuchelen (2004), Ludvigson
(2004) and Gelper a nd Croux (2010), among othe rs.
2
See Wheelock and Wohar (2009) and Kuosmanen an d Vataja (2011) for a review.
3
Using US data from 1994 to 2009, Ulrich ( 2012) documents that a proxy for uncer tainty regarding
economic and monetar y policy explains a rema rkable 50% of variation s in bond option implied
volatilities and i nterest rate volatilities.
4
Stock and Watson (2012) nd that the main contribution s to the decline in output and employment
during the recession are estimated to come from nanci al and uncertainty shocks(p. 26).
70 Mar
ıa-Isabel Mart
ınez-Serna and Eliseo Navarro
© 2015 John Wiley & Sons Ltd

To continue reading

Request your trial

VLEX uses login cookies to provide you with a better browsing experience. If you click on 'Accept' or continue browsing this site we consider that you accept our cookie policy. ACCEPT