Traders’ Networks of Interactions and Structural Properties of Financial Markets: An Agent-Based Approach
An information-based multiasset artificial stock market characterized by different types of stocks and populated by heterogeneous agents is presented and studied so as to determine the influences of agents’ networks on the market’s structure. Agents are organized in networks that are responsible for...
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Format: | Article |
Language: | English |
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Wiley
2018-01-01
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Series: | Complexity |
Online Access: | http://dx.doi.org/10.1155/2018/9072948 |
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author | Linda Ponta Silvano Cincotti |
author_facet | Linda Ponta Silvano Cincotti |
author_sort | Linda Ponta |
collection | DOAJ |
description | An information-based multiasset artificial stock market characterized by different types of stocks and populated by heterogeneous agents is presented and studied so as to determine the influences of agents’ networks on the market’s structure. Agents are organized in networks that are responsible for the formation of the sentiments of the agents. In the market, agents trade risky assets in exchange for cash and share their sentiments by means of interactions that are determined by sparsely connected graphs. A central market maker (clearing house mechanism) determines the price process for each stock at the intersection of the demand and the supply curves. A set of market’s structure indicators based on the main single-assets and multiassets stylized facts have been defined, in order to study the effects of the agents’ networks. Results point out an intrinsic structural resilience of the stock market. In fact, the network is necessary in order to archive the ability to reproduce the main stylized facts, but also the market has some characteristics that are independent from the network and depend on the finiteness of traders’ wealth. |
format | Article |
id | doaj-art-0c815bb19fe14786938432d54f4d5b47 |
institution | Kabale University |
issn | 1076-2787 1099-0526 |
language | English |
publishDate | 2018-01-01 |
publisher | Wiley |
record_format | Article |
series | Complexity |
spelling | doaj-art-0c815bb19fe14786938432d54f4d5b472025-02-03T06:01:04ZengWileyComplexity1076-27871099-05262018-01-01201810.1155/2018/90729489072948Traders’ Networks of Interactions and Structural Properties of Financial Markets: An Agent-Based ApproachLinda Ponta0Silvano Cincotti1Department of Mechanics, Energetics, Management and Transportation, University of Genova, Genova, ItalyDepartment of Mechanics, Energetics, Management and Transportation, University of Genova, Genova, ItalyAn information-based multiasset artificial stock market characterized by different types of stocks and populated by heterogeneous agents is presented and studied so as to determine the influences of agents’ networks on the market’s structure. Agents are organized in networks that are responsible for the formation of the sentiments of the agents. In the market, agents trade risky assets in exchange for cash and share their sentiments by means of interactions that are determined by sparsely connected graphs. A central market maker (clearing house mechanism) determines the price process for each stock at the intersection of the demand and the supply curves. A set of market’s structure indicators based on the main single-assets and multiassets stylized facts have been defined, in order to study the effects of the agents’ networks. Results point out an intrinsic structural resilience of the stock market. In fact, the network is necessary in order to archive the ability to reproduce the main stylized facts, but also the market has some characteristics that are independent from the network and depend on the finiteness of traders’ wealth.http://dx.doi.org/10.1155/2018/9072948 |
spellingShingle | Linda Ponta Silvano Cincotti Traders’ Networks of Interactions and Structural Properties of Financial Markets: An Agent-Based Approach Complexity |
title | Traders’ Networks of Interactions and Structural Properties of Financial Markets: An Agent-Based Approach |
title_full | Traders’ Networks of Interactions and Structural Properties of Financial Markets: An Agent-Based Approach |
title_fullStr | Traders’ Networks of Interactions and Structural Properties of Financial Markets: An Agent-Based Approach |
title_full_unstemmed | Traders’ Networks of Interactions and Structural Properties of Financial Markets: An Agent-Based Approach |
title_short | Traders’ Networks of Interactions and Structural Properties of Financial Markets: An Agent-Based Approach |
title_sort | traders networks of interactions and structural properties of financial markets an agent based approach |
url | http://dx.doi.org/10.1155/2018/9072948 |
work_keys_str_mv | AT lindaponta tradersnetworksofinteractionsandstructuralpropertiesoffinancialmarketsanagentbasedapproach AT silvanocincotti tradersnetworksofinteractionsandstructuralpropertiesoffinancialmarketsanagentbasedapproach |