Aversion and Ambiguity: On the Robustness of the Macroeconomic Uncertainty Measure Framework
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25410%2F24%3A39922241" target="_blank" >RIV/00216275:25410/24:39922241 - isvavai.cz</a>
Result on the web
<a href="https://www.sciencedirect.com/science/article/pii/S0040162524001367" target="_blank" >https://www.sciencedirect.com/science/article/pii/S0040162524001367</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.techfore.2024.123340" target="_blank" >10.1016/j.techfore.2024.123340</a>
Alternative languages
Result language
angličtina
Original language name
Aversion and Ambiguity: On the Robustness of the Macroeconomic Uncertainty Measure Framework
Original language description
The economic literature has focused on the role of uncertainty in the real economy, employing both measures of risk aversion and ambiguity aversion in structural models. In this connection, concerns about the measures for VIX and EPU, have been raised about whether or not they both measure and identify similar type of uncertainty. Using a structural vector autoregressive (SVAR) approach, we examine the relationship between VIX and EPU, their impact on the real economy and whether, and under which conditions, they can be distinguished between measures of risk aversion and ambiguity aversion. Specifically, we analyse the impact of uncertainty shocks of VIX and EPU on the industrial production, unemployment, and consumer credit in the US. Our main finding is that given their fundamental differences, the two measures are capturing different dimensions of uncertainty, VIX is a measure of risk aversion and EPU is a measure of ambiguity aversion. As such, our results are very important in terms of trading decision strategies to be implemented by investors and portfolio managers as it may help explain the two central behavioral traits affecting economic lifecycle problems, such as production, unemployment and consummation.
Czech name
—
Czech description
—
Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
—
OECD FORD branch
50202 - Applied Economics, Econometrics
Result continuities
Project
—
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Technological Forecasting and Social Change
ISSN
0040-1625
e-ISSN
1873-5509
Volume of the periodical
203
Issue of the periodical within the volume
June
Country of publishing house
US - UNITED STATES
Number of pages
16
Pages from-to
123340
UT code for WoS article
001225697400001
EID of the result in the Scopus database
2-s2.0-85189694346