<?xml version="1.0" encoding="UTF-8"?><rss xmlns:dc="http://purl.org/dc/elements/1.1/" version="2.0">
<channel>
<title>Econometric Research in Finance</title>
<link>http://hdl.handle.net/20.500.12182/273</link>
<description/>
<pubDate>Wed, 29 Apr 2026 03:04:29 GMT</pubDate>
<dc:date>2026-04-29T03:04:29Z</dc:date>
<item>
<title>Which Uncertainty Measure is Most Informative? A Time-varying Connectedness Perspective</title>
<link>http://hdl.handle.net/20.500.12182/1207</link>
<description>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.
</description>
<pubDate>Sun, 01 Jan 2023 00:00:00 GMT</pubDate>
<guid isPermaLink="false">http://hdl.handle.net/20.500.12182/1207</guid>
<dc:date>2023-01-01T00:00:00Z</dc:date>
</item>
</channel>
</rss>
