
<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/">
  <dc:publisher>University of Belgrade, Faculty of economics and business, Publishing centre</dc:publisher>
  <dc:language>eng</dc:language>
  <dc:source>Innovations in insurance : from traditional to modern market</dc:source>
  <dc:source>startpage: 115</dc:source>
  <dc:source>endpage: 130</dc:source>
  <dc:description xml:lang="eng">Over the past two decades, several major events, including the global financial
crisis, Brexit, the US-China trade war, the COVID-19 pandemic and the Russian
invasion of Ukraine, have significantly increased global uncertainty and impacted
economies around the world. Increased uncertainty can strongly influence the
decisions and behaviour of market participants and policy makers. High levels of
uncertainty about future economic conditions may cause compa-nies to postpone
investment and hiring, while consumers concerned about their future income and
job security may respond by saving more and spending less. As uncertainty
increases, investors expect higher returns for greater risk, which ultimately drives
up financing costs.163 In addition, some studies suggest that as uncertainty
increases, economic agents tend to react less quickly to business changes,
reducing the effectiveness of monetary and fiscal policy.164
Since uncertainty influences economic development, every economy has an
interest in developing an indicator that monitors changes in uncertainty. A central
question in empirical research is how to measure uncertainty, and in recent years,
this topic has been widely studied by researchers. Various approaches to
measuring uncertainty have been developed. The result is indicators that capture
uncertainty in economic factors such as macroeconomic uncertainty, monetary
policy uncertainty, inflation uncertainty, economic policy uncertainty and more.</dc:description>
  <dc:subject xml:lang="eng">Key words: econometrica, economic uncertainty, Serbia</dc:subject>
  <dc:format>application/pdf</dc:format>
  <dc:format>426072 bytes</dc:format>
  <dc:creator id="https://orcid.org/0000-0001-8980-3608 https://plus.cobiss.net/cobiss/sr/sr/conor/74262793">Maksimović, Emilija,</dc:creator>
  <dc:creator id="https://orcid.org/0000-0003-1579-4205 https://plus.cobiss.net/cobiss/sr/sr/conor/12696679">Mladenović, Zorica</dc:creator>
  <dc:creator id="https://orcid.org/0000-0003-0371-0115 https://plus.cobiss.net/cobiss/sr/sr/conor/12789863">Rakonjac-Antić, Tatjana</dc:creator>
  <dc:type>info:eu-repo/semantics/bookPart</dc:type>
  <dc:title xml:lang="eng">Economic uncertainty in Serbia</dc:title>
  <dc:rights>http://creativecommons.org/licenses/by-nc-nd/4.0/legalcode</dc:rights>
  <dc:identifier>https://phaidrabg.bg.ac.rs/o:36289</dc:identifier>
  <dc:identifier>cobiss:170346761</dc:identifier>
  <dc:identifier>ISBN: 978-86-403-1879-2</dc:identifier>
  <dc:date>2025</dc:date>
</oai_dc:dc>
