Artikel

Contagion pattern identification through minimum spanning trees during the Asian financial crisis

Complexity in financial markets is slowly overwhelming canonical statistical modelling. With global crises which stemming from contagion effects becoming more frequent, new tools for financial distress transmission c apture are needed. Graph theory , with its branch on minimum spanning trees can help researchers better represent the numerous multivariate and asynchronous interactions that suddenly manifest during moments of market panic. Under the current research, a no vel graphical methodology is em ployed for the description of the 1997 Asian financial crisis. It is shown that market sentiment can have an interpretable image through the use of correlation based minimum spanning trees, a useful tool for policy makers and risk managers alike.

Language
Englisch

Bibliographic citation
Journal: Financial Studies ; ISSN: 2066-6071 ; Volume: 23 ; Year: 2019 ; Issue: 2 (84) ; Pages: 76-96 ; Bucharest: Romanian Academy, National Institute of Economic Research (INCE), "Victor Slăvescu" Centre for Financial and Monetary Research

Classification
Wirtschaft
Econometric and Statistical Methods and Methodology: General
Methodological Issues: General
Semiparametric and Nonparametric Methods: General
Multiple or Simultaneous Equation Models: Classification Methods; Cluster Analysis; Principal Components; Factor Models
Data Collection and Data Estimation Methodology; Computer Programs: Other Computer Software
Subject
correlation matrix
graph theory
minimum spanning tree

Event
Geistige Schöpfung
(who)
Marica, Vasile-George
Event
Veröffentlichung
(who)
Romanian Academy, National Institute of Economic Research (INCE), "Victor Slăvescu" Centre for Financial and Monetary Research
(where)
Bucharest
(when)
2019

Handle
Last update
10.03.2025, 11:44 AM CET

Data provider

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Object type

  • Artikel

Associated

  • Marica, Vasile-George
  • Romanian Academy, National Institute of Economic Research (INCE), "Victor Slăvescu" Centre for Financial and Monetary Research

Time of origin

  • 2019

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