Comparison of vector autoregressive (VAR) and vector error correction models (VECM) for index of ASEAN stock price

Agus Suharsono*, Auliya Aziza, Wara Pramesti

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

24 Citations (Scopus)

Abstract

Capital markets can be an indicator of the development of a country's economy. The presence of capital markets also encourages investors to trade; therefore investors need information and knowledge of which shares are better. One way of making decisions for short-term investments is the need for modeling to forecast stock prices in the period to come. Issue of stock market-stock integration ASEAN is very important. The problem is that ASEAN does not have much time to implement one market in the economy, so it would be very interesting if there is evidence whether the capital market in the ASEAN region, especially the countries of Indonesia, Malaysia, Philippines, Singapore and Thailand deserve to be integrated or still segmented. Furthermore, it should also be known and proven What kind of integration is happening: what A capital market affects only the market Other capital, or a capital market only Influenced by other capital markets, or a Capital market as well as affecting as well Influenced by other capital markets in one ASEAN region. In this study, it will compare forecasting of Indonesian share price (IHSG) with neighboring countries (ASEAN) including developed and developing countries such as Malaysia (KLSE), Singapore (SGE), Thailand (SETI), Philippines (PSE) to find out which stock country the most superior and influential. These countries are the founders of ASEAN and share price index owners who have close relations with Indonesia in terms of trade, especially exports and imports. Stock price modeling in this research is using multivariate time series analysis that is VAR (Vector Autoregressive) and VECM (Vector Error Correction Modeling). VAR and VECM models not only predict more than one variable but also can see the interrelations between variables with each other. If the assumption of white noise is not met in the VAR modeling, then the cause can be assumed that there is an outlier. With this modeling will be able to know the pattern of relationship or linkage of share prices of each country in ASEAN. The best modeling comparison result of the ASEAN stock price index is VAR.

Original languageEnglish
Title of host publicationInternational Conference and Workshop on Mathematical Analysis and its Applications, ICWOMAA 2017
EditorsAdem Kilicman, Marjono, Ratno Bagus Edy Wibowo, Moch. Aruman Imron
PublisherAmerican Institute of Physics Inc.
ISBN (Electronic)9780735416055
DOIs
Publication statusPublished - 5 Dec 2017
EventInternational Conference and Workshop on Mathematical Analysis and its Applications, ICWOMAA 2017 - Malang, Indonesia
Duration: 2 Aug 20173 Aug 2017

Publication series

NameAIP Conference Proceedings
Volume1913
ISSN (Print)0094-243X
ISSN (Electronic)1551-7616

Conference

ConferenceInternational Conference and Workshop on Mathematical Analysis and its Applications, ICWOMAA 2017
Country/TerritoryIndonesia
CityMalang
Period2/08/173/08/17

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