Intelligent stock market instability index: Application to the Korean stock market

Young Min Kim, Sung Kwon Han, Tae Yoon Kim, Kyong Joo Oh, Zhiming Luo, Chiho Kim

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)


In order to monitor stock market instability in emerging markets, we propose a stock market instability index (SMII) with a corresponding p-value by using a model fitted to a stable period. More precisely, this study considers a random walk model and combines it with a nonparametric model by using Bayesian model averaging. The integrated stock market instability index (iSMII) and its p$-value are derived as a posterior expectation of the two models. In this study, an artificial neural network (ANN) is utilized as a nonparametric model.

Original languageEnglish
Pages (from-to)879-895
Number of pages17
JournalIntelligent Data Analysis
Issue number4
Publication statusPublished - 2015 Jul 1

Bibliographical note

Publisher Copyright:
© 2015 - IOS Press and the authors. All rights reserved.

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Vision and Pattern Recognition
  • Artificial Intelligence


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