Search Results for author: Fabio Caccioli

Found 8 papers, 1 papers with code

ESG Reputation Risk Matters: An Event Study Based on Social Media Data

no code implementations21 Jul 2023 Maxime L. D. Nicolas, Adrien Desroziers, Fabio Caccioli, Tomaso Aste

We investigate the response of shareholders to Environmental, Social, and Governance-related reputational risk (ESG-risk), focusing exclusively on the impact of social media.

An Information Filtering approach to stress testing: an application to FTSE markets

no code implementations16 Jun 2021 Isobel Seabrook, Fabio Caccioli, Tomaso Aste

We present a novel methodology to quantify the "impact" of and "response" to market shocks.

The Physics of Financial Networks

no code implementations9 Mar 2021 Marco Bardoscia, Paolo Barucca, Stefano Battiston, Fabio Caccioli, Giulio Cimini, Diego Garlaschelli, Fabio Saracco, Tiziano Squartini, Guido Caldarelli

The field of Financial Networks is a paramount example of the novel applications of Statistical Physics that have made possible by the present data revolution.

Physics and Society Statistical Mechanics Social and Information Networks Risk Management

Optimizing Expected Shortfall under an $\ell_1$ constraint -- an analytic approach

no code implementations7 Mar 2021 Gábor Papp, Imre Kondor, Fabio Caccioli

Results are presented for the out-of-sample and the in-sample estimator of the regularized ES, the estimation error, the distribution of the optimal portfolio weights and the density of the assets eliminated from the portfolio by the regularizer.

Time Series Analysis

Evaluating structural edge importance in temporal networks

no code implementations23 Dec 2020 Isobel Seabrook, Paolo Barucca, Fabio Caccioli

To monitor risk in temporal financial networks, we need to understand how individual behaviours affect the global evolution of networks.

Computational Engineering, Finance, and Science

Data-Driven Malaria Prevalence Prediction in Large Densely-Populated Urban Holoendemic sub-Saharan West Africa: Harnessing Machine Learning Approaches and 22-years of Prospectively Collected Data

no code implementations18 Jun 2019 Biobele J. Brown, Alexander A. Przybylski, Petru Manescu, Fabio Caccioli, Gbeminiyi Oyinloye, Muna Elmi, Michael J. Shaw, Vijay Pawar, Remy Claveau, John Shawe-Taylor, Mandayam A. Srinivasan, Nathaniel K. Afolabi, Adebola E. Orimadegun, Wasiu A. Ajetunmobi, Francis Akinkunmi, Olayinka Kowobari, Kikelomo Osinusi, Felix O. Akinbami, Samuel Omokhodion, Wuraola A. Shokunbi, Ikeoluwa Lagunju, Olugbemiro Sodeinde, Delmiro Fernandez-Reyes

Our Locality-specific Elastic-Net based Malaria Prediction System (LEMPS) achieves good generalization performance, both in magnitude and direction of the prediction, when tasked to predict monthly prevalence on previously unseen validation data (MAE<=6x10-2, MSE<=7x10-3) within a range of (+0. 1 to -0. 05) error-tolerance which is relevant and usable for aiding decision-support in a holoendemic setting.

Management

Network Valuation in Financial Systems

1 code implementation16 Jun 2016 Paolo Barucca, Marco Bardoscia, Fabio Caccioli, Marco D'Errico, Gabriele Visentin, Guido Caldarelli, Stefano Battiston

We introduce a general model for the balance-sheet consistent valuation of interbank claims within an interconnected financial system.

$L_p$ regularized portfolio optimization

no code implementations15 Apr 2014 Fabio Caccioli, Imre Kondor, Matteo Marsili, Susanne Still

Investors who optimize their portfolios under any of the coherent risk measures are naturally led to regularized portfolio optimization when they take into account the impact their trades make on the market.

Portfolio Management Risk Management

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