We provide an overview of the relationship between financial networks and systemic risk. present a taxonomy different types risk, differentiating direct externalities organizations (e.g., defaults, correlated portfolios, fire sales), perceptions feedback effects bank runs, credit freezes). also discuss optimal regulation bailouts, measurements risk centrality, choices by banks regarding their p...

Recent economic crises like the 2008 financial tsunami has demonstrated a critical need for better understanding of the topologies and various economic, social, and technical mechanisms of the increasingly interconnected global financial system. Such a system largely relies on the interconnectedness of various financial entities such as banks, firms, and investors through complex financial rela...

Blockchain-based smart contracts are considered a promising technology for handling financial agreements securely. In order to realize this vision, we need a formal language to unambiguously describe contract clauses. We introduce Findel – a purely declarative financial domain-specific language (DSL) well suited for implementation in blockchain networks. We implement an Ethereum smart contract ...

This paper explores the effectiveness of Data Mining (DM) classification techniques in detecting firms that issue fraudulent financial statements (FFS) and deals with the identification of factors associated to FFS. In accomplishing the task of management fraud detection, auditors could be facilitated in their work by using Data Mining techniques. This study investigates the usefulness of Decis...

Financial crime has significantly increased in the modern era. Technology advances have made possible instant electronic telecommunications among users through the development of high speed computer networks. Criminals take advantage of the anonymity offered by computer networks and cast their nets with alluring bait to attract inexperienced victims. In this study various disinformation methods...

We do computational studies concerning the enumeration of maximal isolated cliques in graphs. Isolation, as recently introduced, measures the degree of connectedness of the cliques to the rest of the graph. Isolation helps both in getting faster algorithms than for the enumeration of maximal general cliques and in filtering out cliques with special semantics. We perform experiments with synthet...

We review the recent approach of correlation based networks of financial equities. We investigate portfolio of stocks at different time horizons, financial indices and volatility time series and we show that meaningful economic information can be extracted from noise dressed correlation matrices. We show that the method can be used to falsify widespread market models by directly comparing the t...