Yield Curve and Financial Uncertainty: Evidence Based on US Data
| Author | Efrem Castelnuovo |
| DOI | http://doi.org/10.1111/1467-8462.12341 |
| Published date | 01 September 2019 |
| Date | 01 September 2019 |
The Australian Economic Review, vol. 52, no. 3, pp. 323–335 DOI: 10.1111/1467-8462.12341
Yield Curve and Financial Uncertainty: Evidence Based on
US Data
Efrem Castelnuovo*
Abstract
How do short‐and long‐term interest rates
respondtoajumpinfinancial uncertainty? We
address this question by conducting a local
projections analysis with US monthly data,
period: 1962–2018. The state‐of‐the‐art financial
uncertainty measure proposed by Ludvigson, Ma
and Ng (2019) is found to predict movements in
interest rates at different maturities. In particular,
an increase in financial uncertainty is found to
trigger a negative and significant response of
both short‐and long‐term interest rates. The
response of the short end of the yield curve (i.e.,
of short‐term interest rates) is found to be
stronger than that of the long end (i.e., of long‐
term ones). In other words, a financial un-
certainty shock causes a temporary steepening of
the yield curve. This result is consistent, among
other interpretations, with medium‐term expecta-
tions of a recovery in real activity after a
financial uncertainty shock.
1. Introduction
How does the yield curve respond to changes
in financial uncertainty? While many recent
studies have quantified the effects of different
types of uncertainty shocks on output, un-
employment and inflation, the impact of
jumps in uncertainty on short‐and (above
all) long‐term interest rates has been much
less scrutinised. This is somewhat surprising,
given the relevance of long‐term interest
rates for households’consumption decisions
and entrepreneurs’investment and labour
demand.
This paper contributes to filling this gap by
estimating the response of a battery of interest
rates of US Government bonds with different
maturities over the period 1962–2018. We use
local projections à la Jordà (2005) to produce
the impulse responses of such interest rates to a
jump in the state‐of‐the‐art financial uncertainty
measure recently proposed by Ludvigson, Ma
and Ng (2019). We find financial uncertainty to
negatively and significantly impact all the
elements of the term structure we consider.
Talking about maturities, we find a stronger
response of the short end of the term structure
(which relates to short‐term interest rates). The
peak response of the 3‐month interest rate is
found to be close to –0.4 percentage points,
while that of the 10‐year yield is estimated to be
about –0.2 percentage points to a jump in
uncertainty (the size of the jump being one
standard deviation). The positive slope of the
yield curve (the sign of the slope of the yield
curve being captured by the difference between
long‐term and short‐term rates) conditional on a
* University of Melbourne, Melbourne, Victoria 3010
Australia and University of Padova Centre for Applied
Macroeconomic Analysis, Padova 35123 Italy; email
<efrem.castelnuovo@unimelb.edu.au>. We thank Martin
Andreasen, Giovanni Caggiano, Julie Moschion, and
especially Giovanni Pellegrino for valuable comments.
Financial support by the Australian Research Council via
the Discovery Grant DP160102281 is gratefully acknowl-
edged.
© 2019 The University of Melbourne, Melbourne Institute: Applied Economic & Social Research,
Faculty of Business and Economics
Published by John Wiley & Sons Australia, Ltd
Get this document and AI-powered insights with a free trial of vLex and Vincent AI
Get Started for FreeUnlock full access with a free 7-day trial
Transform your legal research with vLex
-
Complete access to the largest collection of common law case law on one platform
-
Generate AI case summaries that instantly highlight key legal issues
-
Advanced search capabilities with precise filtering and sorting options
-
Comprehensive legal content with documents across 100+ jurisdictions
-
Trusted by 2 million professionals including top global firms
-
Access AI-Powered Research with Vincent AI: Natural language queries with verified citations
Unlock full access with a free 7-day trial
Transform your legal research with vLex
-
Complete access to the largest collection of common law case law on one platform
-
Generate AI case summaries that instantly highlight key legal issues
-
Advanced search capabilities with precise filtering and sorting options
-
Comprehensive legal content with documents across 100+ jurisdictions
-
Trusted by 2 million professionals including top global firms
-
Access AI-Powered Research with Vincent AI: Natural language queries with verified citations
Unlock full access with a free 7-day trial
Transform your legal research with vLex
-
Complete access to the largest collection of common law case law on one platform
-
Generate AI case summaries that instantly highlight key legal issues
-
Advanced search capabilities with precise filtering and sorting options
-
Comprehensive legal content with documents across 100+ jurisdictions
-
Trusted by 2 million professionals including top global firms
-
Access AI-Powered Research with Vincent AI: Natural language queries with verified citations
Unlock full access with a free 7-day trial
Transform your legal research with vLex
-
Complete access to the largest collection of common law case law on one platform
-
Generate AI case summaries that instantly highlight key legal issues
-
Advanced search capabilities with precise filtering and sorting options
-
Comprehensive legal content with documents across 100+ jurisdictions
-
Trusted by 2 million professionals including top global firms
-
Access AI-Powered Research with Vincent AI: Natural language queries with verified citations
Unlock full access with a free 7-day trial
Transform your legal research with vLex
-
Complete access to the largest collection of common law case law on one platform
-
Generate AI case summaries that instantly highlight key legal issues
-
Advanced search capabilities with precise filtering and sorting options
-
Comprehensive legal content with documents across 100+ jurisdictions
-
Trusted by 2 million professionals including top global firms
-
Access AI-Powered Research with Vincent AI: Natural language queries with verified citations