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<title>Econometric Research in Finance</title>
<link href="http://hdl.handle.net/20.500.12182/273" rel="alternate"/>
<subtitle/>
<id>http://hdl.handle.net/20.500.12182/273</id>
<updated>2026-04-29T03:04:21Z</updated>
<dc:date>2026-04-29T03:04:21Z</dc:date>
<entry>
<title>Which Uncertainty Measure is Most Informative? A Time-varying Connectedness Perspective</title>
<link href="http://hdl.handle.net/20.500.12182/1207" rel="alternate"/>
<author>
<name>Szafranek, Karol</name>
</author>
<author>
<name>Rubaszek, Michał</name>
</author>
<author>
<name>Uddin, Gazi Salah</name>
</author>
<id>http://hdl.handle.net/20.500.12182/1207</id>
<updated>2026-04-28T18:04:56Z</updated>
<published>2023-01-01T00:00:00Z</published>
<summary type="text">Which Uncertainty Measure is Most Informative? A Time-varying Connectedness Perspective
Szafranek, Karol; Rubaszek, Michał; Uddin, Gazi Salah
We investigate the relationship between the three most popular uncertainty measures with the means of the state-of-the-art connectedness frameworks applied to the time-varying parameters vector autoregression model with stochastic volatility. We find marked increases in uncertainty connectedness during major economic turmoil and hostile events. VIX turns out to be the most forward-looking uncertainty measure that persistently&#13;
transmits shocks to the remaining uncertainty proxies at lower frequencies. In turn, GPR, approximating specific information related to geopolitical risk, transmits shocks to other measures at short-term frequencies, while the EPU index is largely replicating unanticipated movements in the VIX or GPR. We also present implications of these findings for economic modelling.
</summary>
<dc:date>2023-01-01T00:00:00Z</dc:date>
</entry>
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