Advances in Economics, Management and Political Sciences

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Proceedings of the 2nd International Conference on Business and Policy Studies

Series Vol. 16 , 13 September 2023


Open Access | Article

Study on the Relationship between Hang Seng Index and FTSE CHI Index in Hong Kong: Evidence from VAR Model

Wenyi Cao * 1
1 Hebei GEO University

* Author to whom correspondence should be addressed.

Advances in Economics, Management and Political Sciences, Vol. 16, 46-53
Published 13 September 2023. © 2023 The Author(s). Published by EWA Publishing
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Citation Wenyi Cao. Study on the Relationship between Hang Seng Index and FTSE CHI Index in Hong Kong: Evidence from VAR Model. AEMPS (2023) Vol. 16: 46-53. DOI: 10.54254/2754-1169/16/20230973.

Abstract

The stock index is very important to study the overall trend of the development of financial markets and the development of the stock industry. This paper mainly studies the interaction between stock indexes and the influence of the main fields included in the stock index on the index and related indexes. In this paper, Hong Kong Hang Seng Index and FTSE CHI index were selected for research, and impulse response analysis and variance decomposition analysis were carried out on the data through VAR model. By analyzing the results, the following conclusions can be drawn: First, the model is convergent. Second, the influence from one market to another market persist for several periods. Third, with the increase of lag period, FTSE CHI HK Index was influenced by HK Hang Seng Index and finally stabilized at about 96.1906% and HK Hang Seng Index was influenced by FTSE CHI HK Index and finally stabilized at about 93.995%.

Keywords

Hang Seng Index, FTSE 100 index, VAR model, impulse response function

References

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Data Availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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Volume Title
Proceedings of the 2nd International Conference on Business and Policy Studies
ISBN (Print)
978-1-915371-75-1
ISBN (Online)
978-1-915371-76-8
Published Date
13 September 2023
Series
Advances in Economics, Management and Political Sciences
ISSN (Print)
2754-1169
ISSN (Online)
2754-1177
DOI
10.54254/2754-1169/16/20230973
Copyright
13 September 2023
Open Access
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited

Copyright © 2023 EWA Publishing. Unless Otherwise Stated