2018
DOI: 10.1142/s021812741850044x
|View full text |Cite
|
Sign up to set email alerts
|

Self-Organization, Resilience and Robustness of Complex Systems Through an Application to Financial Market from an Agent-Based Approach

Abstract: This paper introduces the implementation of a computational agent-based financial market model in which the system is described on both microscopic and macroscopic levels. This artificial financial market model is used to study the system response when a shock occurs. Indeed, when a market experiences perturbations, financial systems behavior can exhibit two different properties: resilience and robustness. Through simulations and different scenarios of market shocks, these system properties are studied. The re… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1

Citation Types

0
3
0
1

Year Published

2019
2019
2024
2024

Publication Types

Select...
7

Relationship

0
7

Authors

Journals

citations
Cited by 9 publications
(4 citation statements)
references
References 31 publications
0
3
0
1
Order By: Relevance
“…, Schlichtmann (2016), Weide-Zaage et al (2018), Fryer et al (1987), Zhu and Basar (2015), Lucas et al (2018), Okoh and Haugen (2015), Wybo (2008), Balzari and Balzari (2017), Huizar et al (2018), Corman et al (2018), Faber et al (2017), Dias (2015), Adenso-Díaz et al (2017), Spiegler et al (2012), Ivanov et al (2014), Mens et al (2015), Faber et al (2018), Wang et al (2014), Pien et al (2015), Jenelius and Cats (2015), Calvert and Snelder (2018), Wang et al (2017b), Feng et al (2017), Artsiomchyk and Zhivitskaya (2013), Sun et al (2017), Klibi et al (2010), Ivanov and Sokolov (2013), Huang et al (2017), Wang et al (2017a), Kim et al (2017), Barabadi and Ayele (2018) Abimbola and Topp (2018), Mumby et al (2014), Dragicevic (2016), Krupa et al (2014), Anderies et al (2013), Anderies and Hegmon (2011), Fleischman et al (2010), Domptail et al (2013, Witten (2014), Nair and Howlett (2016), …”
Section: Acknowledgementsmentioning
confidence: 99%
“…, Schlichtmann (2016), Weide-Zaage et al (2018), Fryer et al (1987), Zhu and Basar (2015), Lucas et al (2018), Okoh and Haugen (2015), Wybo (2008), Balzari and Balzari (2017), Huizar et al (2018), Corman et al (2018), Faber et al (2017), Dias (2015), Adenso-Díaz et al (2017), Spiegler et al (2012), Ivanov et al (2014), Mens et al (2015), Faber et al (2018), Wang et al (2014), Pien et al (2015), Jenelius and Cats (2015), Calvert and Snelder (2018), Wang et al (2017b), Feng et al (2017), Artsiomchyk and Zhivitskaya (2013), Sun et al (2017), Klibi et al (2010), Ivanov and Sokolov (2013), Huang et al (2017), Wang et al (2017a), Kim et al (2017), Barabadi and Ayele (2018) Abimbola and Topp (2018), Mumby et al (2014), Dragicevic (2016), Krupa et al (2014), Anderies et al (2013), Anderies and Hegmon (2011), Fleischman et al (2010), Domptail et al (2013, Witten (2014), Nair and Howlett (2016), …”
Section: Acknowledgementsmentioning
confidence: 99%
“…Policy subsystems are often driven by a stable cohort of legacy politicians, regulators, and interest groups that operate under the assumption that incremental policy making is driven by "dynamics [that] are endogenous to the subsystems" [34]. Yet, agent-based financial market modeling demonstrates a great deal of exogeneity in not only the creation of financial crises, but also the market and regulatory responses thereafter [35]. As was previously outlined, endogenous DER processes may exist in parallel with EER processes that may be shaped by both exogenous (e.g., external shocks) and endogenous (e.g., agent effects and industrial structure) phenomena.…”
Section: Dual Mandates In Post-crisis Policiesmentioning
confidence: 99%
“…Changes in the organization should be in line with the new ideas of the market for new and practical opportunities and help the organization in critical financial situations (Luciano and Wihlborg, 2018). Organizational factors will help financial management systems to have comparative predictive power and take gained, action-oriented and accurate decisions (Lucas et al , 2018). Such things as market observation, customer satisfaction, timely and adequate budget injections, capital management and implementation management in the organization will contribute to better financial management systems (Hou, 2019).…”
Section: Introductionmentioning
confidence: 99%