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Invited Speakers

Panos Pardalos

Prof. Panos Pardalos

Center for Applied Optimization (CAO), University of Florida, USA

Dynamics of Financial Markets

Abstract: Financial markets, banks, currency exchanges and other institutions can be modeled and analyzed as network structures where nodes are any agents such as companies, shareholders, currencies, or countries. The edges (can be weighted, oriented, etc.) represent any type of relations between agents, for example, ownership, friendship, collaboration, influence, dependence, and correlation. We are going to discuss network and data sciences techniques to study the dynamics of financial markets and other problems in economics.

SALVATORE GRECO

Prof. Salvatore Greco 

Department of Economics and Business, University of Catania, Italy

University of Portsmouth, Portsmouth Business School, Centre of Operations Research and Logistics (CORL), United Kingdom

Financial rating with ordinal classification based on the hierarchical SMAA Choquet integral approach

Abstract: We consider financial rating proposing a robust ordinal regression and a stochastic ordinal regression model taking into account interaction in a hierarchy of criteria corresponding to financial and economic indicators underlying the rating. Formally we apply Robust Ordinal Regression (ROR) and Stochastic Multiattribute Acceptability Analysis (SMAA) to a sorting model based on the Choquet integral taking into account a hierarchy of criteria. The advantages of our approach are shown by means of an application to financial rating of European Countries. Economic and financial data used in the analysis are provided by Standard &Poor’s Global Inc.