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X-WR-CALDESC:Events for Economics Research
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TZOFFSETFROM:+0000
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DTSTART:20210328T010000
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DTSTART;TZID=Europe/London:20210311T130000
DTEND;TZID=Europe/London:20210311T134500
DTSTAMP:20260611T221316
CREATED:20210303T210051Z
LAST-MODIFIED:20210303T210051Z
UID:2232-1615467600-1615470300@research.reading.ac.uk
SUMMARY:Anna Zabrodzka "Convergence Across EU Regions and the Role of the EU Cohesion Policy" - PhD Seminar
DESCRIPTION:Abstract \nWhile there is evidence that the poorest regions in the European Union experienced the fastest economic growth\, the gap between the richest and the poorest has not diminished. Additionally\, after more than 30 years of intervention\, there is no clear and conclusive evidence that the EU Cohesion Policy has effectively contributed to economic development across the disadvantaged Europe and ensured rising equality across the continent. The inconclusive or often contradictory results of the existing studies warrant further investigation. The aim of this study is to contribute to the discussion and evaluate the macroeconomic impact of the EU Cohesion Policy on the growth of European regions and the process of economic convergence. The study attempts to answer the following question – Is there evidence that the EU structural funds supported economic growth and in turn convergence process among European subnational regions? – by using cross-section\, panel and dynamic panel analysis and the newly available dataset on annual payments provided by the European Commission. The main contribution of this paper is the expansion of the data sample by the 2007-2014 programming period and inclusion of the regions in the Central and Eastern Europe\, which joined the EU in 2004 and 2007\, in the investigation.
URL:https://research.reading.ac.uk/economics/event/anna-zabrodzka-convergence-across-eu-regions-and-the-role-of-the-eu-cohesion-policy-phd-seminar/
LOCATION:Microsoft Teams
CATEGORIES:PhD Seminars
ORGANIZER;CN="Carl%20Singleton":MAILTO:c.a.singleton@reading.ac.uk
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DTSTART;TZID=Europe/London:20210311T134500
DTEND;TZID=Europe/London:20210311T143000
DTSTAMP:20260611T221316
CREATED:20210228T105837Z
LAST-MODIFIED:20210228T105919Z
UID:2229-1615470300-1615473000@research.reading.ac.uk
SUMMARY:Jingqi Pan (ICMA) "On the estimation of Value-at-risk and Expected Shortfall at extreme levels" - PhD Seminar
DESCRIPTION:Abstract \nThe estimation of risk at extreme levels of significance (such as alpha = 0.01%) can be crucial considering events such as those related to the recent COVID-19 crisis. We extend two popular dynamic semi-parametric models of Patton (2019) that jointly estimate Value-at-Risk (VaR) and Expected Shortfall (ES)\, specifically the one-factor GAS model and the Hybrid GAS/GARCH model. The main idea of our approach is to estimate VaR and ES for two levels of alpha simultaneously\, namely for an extreme level and for a more common level (such as 10%). Our simulation results indicate that the proposed models outperform the benchmarks in terms of in-sample loss values\, out-of-sample loss and backtest rejections for extreme values of alpha. In an empirical study\, we apply the proposed augmented GAS model and the augmented Hybrid GAS/GARCH model to energy futures prices (WTI\, Brent\, Gas oil and Heating oil) and compare them with a range of parametric\, nonparametric and semiparametric models. Our results show that both augmented GAS models generally outperform the benchmark models\, and the outperformance is even more prominent during the COVID-19 crisis.
URL:https://research.reading.ac.uk/economics/event/jingqi-pan-icma-on-the-estimation-of-value-at-risk-and-expected-shortfall-at-extreme-levelsl-phd-seminar/
LOCATION:Microsoft Teams
CATEGORIES:PhD Seminars
ORGANIZER;CN="Carl%20Singleton":MAILTO:c.a.singleton@reading.ac.uk
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