<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Recent &amp; Upcoming Talks | Valerio Ficcadenti</title><link>https://valerioficcadenti.com/talks/</link><atom:link href="https://valerioficcadenti.com/talks/index.xml" rel="self" type="application/rss+xml"/><description>Recent &amp; Upcoming Talks</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Mon, 24 Oct 2022 00:00:00 +0000</lastBuildDate><image><url>https://valerioficcadenti.com/media/icon_huef8cf56cc73f48d41a5f1ecba5605ab4_269363_512x512_fill_lanczos_center_3.png</url><title>Recent &amp; Upcoming Talks</title><link>https://valerioficcadenti.com/talks/</link></image><item><title>Analysis of the International Mobility of Researchers through a Markov Chain model</title><link>https://valerioficcadenti.com/talks/euro_2025_mobility/</link><pubDate>Mon, 23 Jun 2025 00:00:00 +0000</pubDate><guid>https://valerioficcadenti.com/talks/euro_2025_mobility/</guid><description>&lt;p>&lt;strong>Event:&lt;/strong> &lt;a href="https://www.euro2025leeds.com/" target="_blank" rel="noopener">EURO 2025 - 32nd European Conference on Operational Research&lt;/a>&lt;br>
&lt;strong>Location:&lt;/strong> Leeds, United Kingdom&lt;br>
&lt;strong>Date:&lt;/strong> June 23-25, 2025&lt;/p>
&lt;hr>
&lt;p>This presentation introduces a novel Markov chain analysis of academic mobility patterns revealing how university reputation influences researchers&amp;rsquo; career trajectories and institutional barriers to mobility.&lt;/p>
&lt;p>This presentation explores the complex dynamics of international academic mobility using advanced Markov chain modelling to analyse career trajectories of researchers across different university rankings and institutional affiliations.&lt;/p>
&lt;p>&lt;strong>Research Objectives:&lt;/strong>&lt;/p>
&lt;ul>
&lt;li>&lt;strong>Institutional Barriers:&lt;/strong> Investigate how university reputation creates mobility barriers for researchers&lt;/li>
&lt;li>&lt;strong>Career Trajectories:&lt;/strong> Analyse the influence of initial institutional affiliation on career development&lt;/li>
&lt;li>&lt;strong>Global Patterns:&lt;/strong> Understand international mobility patterns across different university rankings&lt;/li>
&lt;li>&lt;strong>Policy Implications:&lt;/strong> Provide insights for addressing mobility inequalities in academia&lt;/li>
&lt;/ul>
&lt;p>&lt;strong>Methodology:&lt;/strong>&lt;/p>
&lt;ul>
&lt;li>&lt;strong>Large-Scale Data:&lt;/strong> Analysis of 3.8+ million individual records from ORCID database&lt;/li>
&lt;li>&lt;strong>University Rankings:&lt;/strong> Global ranking system to classify institutional standing&lt;/li>
&lt;li>&lt;strong>Markov Chain Modelling:&lt;/strong> Transition probability analysis for inter-institutional mobility&lt;/li>
&lt;li>&lt;strong>Longitudinal Analysis:&lt;/strong> Year-by-year career tracking and trajectory modelling&lt;/li>
&lt;/ul>
&lt;p>&lt;strong>Key Findings:&lt;/strong>&lt;/p>
&lt;ul>
&lt;li>&lt;strong>Mobility Constraints:&lt;/strong> Evidence of significant barriers between high and low-ranked institutions&lt;/li>
&lt;li>&lt;strong>Career Persistence:&lt;/strong> Strong influence of initial institutional affiliation on career development&lt;/li>
&lt;li>&lt;strong>Transition Patterns:&lt;/strong> Systematic analysis of movement probabilities across university rankings&lt;/li>
&lt;li>&lt;strong>Global Inequalities:&lt;/strong> Documentation of institutional hierarchies affecting researcher mobility&lt;/li>
&lt;/ul>
&lt;p>&lt;strong>Data and Methods:&lt;/strong>&lt;/p>
&lt;ul>
&lt;li>&lt;strong>ORCID Database:&lt;/strong> Comprehensive researcher career tracking across millions of academics&lt;/li>
&lt;li>&lt;strong>Ranking Integration:&lt;/strong> Global university ranking data for institutional classification&lt;/li>
&lt;li>&lt;strong>Statistical Framework:&lt;/strong> Markov chain transition matrices and probability analysis&lt;/li>
&lt;li>&lt;strong>Temporal Analysis:&lt;/strong> Multi-year career progression and mobility patterns&lt;/li>
&lt;/ul>
&lt;p>&lt;strong>Academic Impact:&lt;/strong>
This research contributes to understanding systemic inequalities in academic career development and provides empirical evidence for policy interventions to improve researcher mobility and career equity across institutional hierarchies.&lt;/p>
&lt;p>&lt;strong>Collaborative Research:&lt;/strong>
Joint work with Vincenzo Scardigno, demonstrating interdisciplinary collaboration in applying quantitative methods to higher education research and academic career analysis.&lt;/p></description></item><item><title>Rank-Size Analysis of Optimal Portfolio Weights Across Portfolio Optimization Models</title><link>https://valerioficcadenti.com/talks/euro_2025/</link><pubDate>Mon, 23 Jun 2025 00:00:00 +0000</pubDate><guid>https://valerioficcadenti.com/talks/euro_2025/</guid><description>&lt;p>&lt;strong>Event:&lt;/strong> &lt;a href="https://www.euro2025leeds.com/" target="_blank" rel="noopener">EURO 2025 - 32nd European Conference on Operational Research&lt;/a>&lt;br>
&lt;strong>Location:&lt;/strong> Leeds, United Kingdom&lt;br>
&lt;strong>Date:&lt;/strong> June 23-25, 2025&lt;/p>
&lt;hr>
&lt;p>This presentation introduces a novel rank-size analysis framework for comparing optimal portfolio weight distributions across different portfolio optimization models. The research provides innovative insights into portfolio concentration patterns and offers a systematic methodology for evaluating portfolio construction strategies.&lt;/p>
&lt;p>&lt;strong>Key Contributions:&lt;/strong>&lt;/p>
&lt;ul>
&lt;li>Novel rank-size analysis approach for portfolio optimization&lt;/li>
&lt;li>Comparative analysis of four portfolio strategies (Mean-Variance, CVaR, Most Diversified, Risk Parity)&lt;/li>
&lt;li>Stochastic dominance methodology for model selection&lt;/li>
&lt;li>Empirical analysis across major financial indices (2009-2023)&lt;/li>
&lt;/ul>
&lt;p>&lt;strong>Methodology:&lt;/strong>
The study employs various rank-size functions including the Exponential Law, Discrete Generalised Beta Distribution, and the Universal Law to model optimal weight distributions, with a robust selection methodology based on stochastic dominance applied to RMSE distributions.&lt;/p>
&lt;p>&lt;strong>Collaborative Research:&lt;/strong>
This work represents a collaborative effort with researchers from Roma Tre University (Italy) and other international institutions, showcasing the international scope of the research collaboration.&lt;/p>
&lt;p>&lt;strong>Presentation Materials:&lt;/strong>
Full presentation slides available for download (PDF format), including comprehensive data visualizations and empirical analysis results across multiple financial indices.&lt;/p></description></item><item><title>One Method, Many Systems - A rank-size approach to socio-economic modelling</title><link>https://valerioficcadenti.com/talks/ie_2025/</link><pubDate>Thu, 15 May 2025 00:00:00 +0000</pubDate><guid>https://valerioficcadenti.com/talks/ie_2025/</guid><description>&lt;p>&lt;strong>Event:&lt;/strong> International Conference on Informatics in Economy (IE 2025)&lt;br>
&lt;strong>Location:&lt;/strong> Bucharest, Romania&lt;br>
&lt;strong>Date:&lt;/strong> May 15-17, 2025&lt;br>
&lt;strong>Format:&lt;/strong> Keynote Presentation&lt;/p>
&lt;hr>
&lt;p>This keynote presentation at the International Conference on Informatics in Economy (IE 2025) explores the universal applicability of rank-size analysis across diverse socio-economic systems and modelling frameworks.&lt;/p>
&lt;p>&lt;strong>Keynote Highlights:&lt;/strong>&lt;/p>
&lt;ul>
&lt;li>&lt;strong>Universal Methodology:&lt;/strong> Demonstration of how a single rank-size approach applies across multiple domains&lt;/li>
&lt;li>&lt;strong>Interdisciplinary Perspective:&lt;/strong> Bridging financial markets, population dynamics, income distributions, and organizational structures&lt;/li>
&lt;li>&lt;strong>Methodological Advances:&lt;/strong> Recent developments in rank-size modelling and statistical selection techniques&lt;/li>
&lt;li>&lt;strong>Practical Applications:&lt;/strong> Tools and insights for policy makers and researchers&lt;/li>
&lt;/ul>
&lt;p>&lt;strong>Key Themes:&lt;/strong>&lt;/p>
&lt;ul>
&lt;li>&lt;strong>One Method, Many Systems:&lt;/strong> How rank-size laws provide a common analytical language&lt;/li>
&lt;li>&lt;strong>Universal Patterns:&lt;/strong> Revealing scaling behaviours that transcend disciplinary boundaries&lt;/li>
&lt;li>&lt;strong>Comparative Analysis:&lt;/strong> Systematic approaches to cross-system comparison&lt;/li>
&lt;li>&lt;strong>Theoretical Foundations:&lt;/strong> Underlying mechanisms driving rank-size phenomena&lt;/li>
&lt;/ul>
&lt;p>&lt;strong>Conference Context:&lt;/strong>
The International Conference on Informatics in Economy brings together researchers, practitioners, and policy makers to explore the intersection of information technology and economic analysis. This keynote addresses the growing need for unified analytical frameworks in an increasingly interconnected world.&lt;/p>
&lt;p>&lt;strong>Academic Impact:&lt;/strong>
This presentation builds upon extensive research in rank-size analysis, extending applications from traditional domains to new areas of socio-economic inquiry. The work demonstrates the potential for methodological innovation to drive interdisciplinary collaboration and understanding.&lt;/p>
&lt;p>&lt;strong>Institution:&lt;/strong>
Presented at Bucharest University of Economic Studies, one of Romania&amp;rsquo;s leading institutions for economic research and education, highlighting the international recognition of rank-size analysis methodology.&lt;/p></description></item><item><title>Kendall correlations and radar charts to include goals for and goals against in soccer rankings</title><link>https://valerioficcadenti.com/talks/econsta_2024/</link><pubDate>Wed, 17 Jul 2024 00:00:00 +0000</pubDate><guid>https://valerioficcadenti.com/talks/econsta_2024/</guid><description>&lt;p>&lt;strong>Event:&lt;/strong> &lt;a href="https://www.cmstatistics.org/EcoSta2024/" target="_blank" rel="noopener">7th International Conference on Econometrics and Statistics (EcoSta 2024)&lt;/a>&lt;br>
&lt;strong>Location:&lt;/strong> Beijing Normal University, Beijing, China&lt;br>
&lt;strong>Date:&lt;/strong> July 17-19, 2024&lt;/p>
&lt;hr>
&lt;p>This presentation introduced an innovative approach to soccer rankings, developed in collaboration with Dr Raffaele Mattera and Prof Roy Cerqueti. The study incorporates multiple performance variables, including scored and conceded goals, alongside traditional win-draw-loss metrics.&lt;/p>
&lt;ul>
&lt;li>&lt;strong>Upload&lt;/strong> an existing slide deck to &lt;code>static/&lt;/code> and link using &lt;code>url_slides&lt;/code> parameter in the front matter of the talk file&lt;/li>
&lt;li>&lt;strong>Embed&lt;/strong> your slides (e.g. Google Slides) or presentation video on this page using &lt;a href="https://docs.hugoblox.com/reference/markdown/" target="_blank" rel="noopener">shortcodes&lt;/a>.&lt;/li>
&lt;/ul>
&lt;p>Further event details, including &lt;a href="https://docs.hugoblox.com/reference/markdown/" target="_blank" rel="noopener">page elements&lt;/a> such as image galleries, can be added to the body of this page. &amp;ndash;&amp;gt;&lt;/p></description></item><item><title>Markov Chain Monte Carlo for Generating Ranked Textual Data</title><link>https://valerioficcadenti.com/talks/icas_2023/</link><pubDate>Fri, 17 Nov 2023 00:00:00 +0000</pubDate><guid>https://valerioficcadenti.com/talks/icas_2023/</guid><description/></item><item><title>Anxiety for the Pandemic and Trust in Financial Markets</title><link>https://valerioficcadenti.com/talks/cebss_2021/</link><pubDate>Thu, 09 Dec 2021 00:00:00 +0000</pubDate><guid>https://valerioficcadenti.com/talks/cebss_2021/</guid><description/></item><item><title>Anxiety for the Pandemic and Trust in Financial Markets</title><link>https://valerioficcadenti.com/talks/int_week_2021/</link><pubDate>Sat, 01 May 2021 00:00:00 +0000</pubDate><guid>https://valerioficcadenti.com/talks/int_week_2021/</guid><description/></item><item><title>Benford's Laws Tests on S&amp;P500 Daily Closing Values and Log-Returns</title><link>https://valerioficcadenti.com/talks/icas_2020/</link><pubDate>Wed, 25 Nov 2020 00:00:00 +0000</pubDate><guid>https://valerioficcadenti.com/talks/icas_2020/</guid><description/></item><item><title>Earthquakes Economic Costs Through Rank-Size Laws</title><link>https://valerioficcadenti.com/talks/jds2019/</link><pubDate>Mon, 03 Jun 2019 00:00:00 +0000</pubDate><guid>https://valerioficcadenti.com/talks/jds2019/</guid><description>&lt;p>&lt;strong>Event:&lt;/strong> &lt;a href="http://www.jds2019.sfds.asso.fr/" target="_blank" rel="noopener">51es Journées de Statistiques (JDS) 2019&lt;/a>&lt;br>
&lt;strong>Location:&lt;/strong> Vandœuvre-lès-Nancy, Campus des Aiguillettes, Université de Lorraine, France&lt;br>
&lt;strong>Date:&lt;/strong> June 3-7, 2019&lt;/p>
&lt;hr>
&lt;p>This presentation introduced a methodology for quantifying the economic costs of earthquakes in Italy between January 2016 and January 2017. Using the Zipf-Mandelbrot Law and other functions, the study developed economic cost indicators and examined the correlation between earthquake magnitude and resulting damage. Insights were also provided on how infrastructure resilience mitigates the economic impact of seismic events.&lt;/p></description></item><item><title>Semi-Closed Simulated Stock Market: The Impact of the Traders' Backgrounds</title><link>https://valerioficcadenti.com/talks/euro_2018/</link><pubDate>Sun, 08 Jul 2018 00:00:00 +0000</pubDate><guid>https://valerioficcadenti.com/talks/euro_2018/</guid><description/></item><item><title>Complexity and Clustering of the US President Speeches</title><link>https://valerioficcadenti.com/talks/jadt_2018/</link><pubDate>Tue, 12 Jun 2018 00:00:00 +0000</pubDate><guid>https://valerioficcadenti.com/talks/jadt_2018/</guid><description/></item><item><title>Complexity of United States of America Presidential Speeches</title><link>https://valerioficcadenti.com/talks/cfe_2017/</link><pubDate>Fri, 15 Dec 2017 00:00:00 +0000</pubDate><guid>https://valerioficcadenti.com/talks/cfe_2017/</guid><description/></item><item><title>Exploring the Structure of the US Presidential Speeches</title><link>https://valerioficcadenti.com/talks/knowescape_2017/</link><pubDate>Wed, 22 Feb 2017 00:00:00 +0000</pubDate><guid>https://valerioficcadenti.com/talks/knowescape_2017/</guid><description/></item></channel></rss>