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When complexity meets finance: a contribution to the study of the macroeconomic effects of complex financial systems

When complexity meets finance: a contribution to the study of the macroeconomic effects of complex financial systems

Botta, Alberto ORCID: 0000-0001-9464-8251, Caverzasi, Eugenio and Russo, Alberto (2020) When complexity meets finance: a contribution to the study of the macroeconomic effects of complex financial systems. Research Policy. ISSN 0048-7333 (In Press) (doi:https://doi.org/10.1016/j.respol.2020.103990)

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Abstract

In the last decade, complexity economics has emerged as a powerful approach to the understanding of the most relevant factors influencing economic development. The concept of economic complexity has been applied to the study of different economic issues such as economic growth, technological change and inequality. This work represents a first step towards the application of this concept to the study of the financial side of the economy, and particularly of the macroeconomic effects of rising financial complexity. In this paper, we present an agent-based macroeconomic model including an increasingly complex financial sector, characterized by the presence of Collateralized Debt Obligations with different seniorities next to more standard assets, like bonds and commercial papers. Simulations results suggest that financial complexity exerts major economic effects: while financial engineering makes securitized loans very attractive and opaque assets, the disperse interaction among different agents and financial institutions generated by these complex financial instruments shapes the behavior of the economies and allows for the diffusion of financial distress.

Item Type: Article
Uncontrolled Keywords: financial complexity, securitization, agent-based model, stock-flow consistency, inequality, financial crisis
Subjects: H Social Sciences > HB Economic Theory
Faculty / Department / Research Group: Faculty of Business
Faculty of Business > Department of International Business & Economics
Last Modified: 21 Oct 2020 08:00
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
Selected for GREAT 2019: None
Selected for REF2021: REF 1
URI: http://gala.gre.ac.uk/id/eprint/27940

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