An assessment of contagion risks in the banking system using non-parametric and Copula approaches

被引:32
作者
Toan Luu Duc Huynh [2 ]
Nasir, Muhammad Ali [1 ,2 ]
Sang Phu Nguyen [2 ]
Duy Duong [2 ]
机构
[1] Leeds Beckett Univ, Leeds, W Yorkshire, England
[2] Univ Econ Ho Chi Minh City, Ho Chi Minh City, Vietnam
关键词
Contagion risk; Banking sector; Non-parametric; Copulas; Financial stability; FINANCIAL CRISIS; US; MARKETS; RUNS; INTERDEPENDENCE; DETERMINANTS; CHINESE;
D O I
10.1016/j.eap.2019.11.007
中图分类号
F [经济];
学科分类号
02 ;
摘要
This study endeavours to shed some light on the Contagion risk in the Vietnamese banking system. In so doing, we analyse the contagion risk through stock returns on listed commercial banks by employing non-parametric and Copula approaches. A rich set of empirical approaches are employed, including non-parametric (Chi-plots, Kendall-plots) and parametric Copula estimations to define the dependence structure of pairs of daily returns, balanced by a total of 36 copulas with 17,456 observations over the period from July 2006 to September 2017. Our results show that the risk of each individual bank may transmit to other banks through stock returns, which are reflected in their price information. The results also suggest existence of contagion risk and strong dependency in the structure of stock returns of banks under analysis. As a consequence, to avoid negative returns for the portfolio, careful diversification is required while investing in the Vietnamese banking sector, when showing a Clayton relationship (left-tail dependency). Our findings have profound implications for investors, policymakers and authorities responsible for financial stability. (c) 2019 Economic Society of Australia, Queensland. Published by Elsevier B.V. All rights reserved.
引用
收藏
页码:105 / 116
页数:12
相关论文
共 49 条
  • [21] Non-parametric efficiency estimation using Richardson-Lucy blind deconvolution
    Dai, Xiaofeng
    EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2016, 248 (02) : 731 - 739
  • [22] Explaining predictive models using Shapley values and non-parametric vine copulas
    Aas, Kjersti
    Nagler, Thomas
    Jullum, Martin
    Loland, Anders
    DEPENDENCE MODELING, 2021, 9 (01): : 62 - 81
  • [23] Non-Parametric Change-Point Estimation using String Matching Algorithms
    Johnson, Oliver
    Sejdinovic, Dino
    Cruise, James
    Piechocki, Robert
    Ganesh, Ayalvadi
    METHODOLOGY AND COMPUTING IN APPLIED PROBABILITY, 2014, 16 (04) : 987 - 1008
  • [24] Knowledge representation using non-parametric Bayesian networks for tunneling risk analysis
    Wang Fan
    Li Heng
    Dong Chao
    Ding Lieyun
    RELIABILITY ENGINEERING & SYSTEM SAFETY, 2019, 191
  • [25] Statistical approaches in surface finishing. Part 2. non-parametric methods for data analysis
    Smith, J. R.
    Larson, C.
    TRANSACTIONS OF THE INSTITUTE OF METAL FINISHING, 2019, 97 (01): : 5 - 10
  • [26] Non-parametric and semi-parametric support estimation using SEquential RESampling random walks on biomolecular sequences
    Wei Wang
    Jack Smith
    Hussein A. Hejase
    Kevin J. Liu
    Algorithms for Molecular Biology, 15
  • [27] Experimental Sentinel-2 LAI estimation using parametric, non-parametric and physical retrieval methods - A comparison
    Verrelst, Jochem
    Pablo Rivera, Juan
    Veroustraete, Frank
    Munoz-Mari, Jordi
    Clevers, Jan G. P. W.
    Camps-Valls, Gustau
    Moreno, Jose
    ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2015, 108 : 260 - 272
  • [28] Non-parametric and semi-parametric support estimation using SEquential RESampling random walks on biomolecular sequences
    Wang, Wei
    Smith, Jack
    Hejase, Hussein A.
    Liu, Kevin J.
    ALGORITHMS FOR MOLECULAR BIOLOGY, 2020, 15 (01)
  • [29] Wavelet based non-parametric NARX models for nonlinear input-output system identification
    Wei, H. L.
    Billings, S. A.
    Balikhin, M. A.
    INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, 2006, 37 (15) : 1089 - 1096
  • [30] Investigating the performance of European banks using non-parametric techniques: the role of performing loans efficiency
    Dimitras, Augustinos I.
    Dokas, Ioannis
    Mamou, Olga
    Spyromitros, Eleftherios
    EUROMED JOURNAL OF BUSINESS, 2024, 19 (04) : 1066 - 1083