JOURNAL ARTICLE
Do stock market fluctuations lead to currency deflation in the South Asian region? Evidence beyond symmetry.
Published In: International Journal of Finance & Economics, 2024, v. 29, n. 2. P. 1432 1 of 3
Database: Business Source Ultimate 2 of 3
Authored By: Suleman, Muhammad Tahir; TABASH, MOSAB I.; Sheikh, Umaid A. 3 of 3
Abstract
This study explores the role of the asymmetrical influence of stock market reaction to the fluctuations in US dollars against the domestic currencies of the South Asian region. The symmetrical Panel based autoregressive distributed lag model (PARDL) model and panel‐based non‐linear autoregressive distributed lag model (NARDL) model with the Pooled Mean Group Approach (PMG) approach were employed to estimate the impact of stock market bullish and bearish behaviour on local currency variabilities of the South Asian region. The results show that during the pre‐economic recession regime, negative fluctuations in stock indexes had a direct association with exchange rate fluctuations for a longer period. However, after the crisis, both negative and positive stock index shocks have formulated an indirect or inverse association with exchange rate fluctuations. These findings pose important practical implications for the short‐term and long‐term shareholders and financial analysts. Hence, it is recommended that shareholders and financial analysts should base their investment in South Asian stock indices on negative and positive shocks since the non‐linear connectivity between both variables also exhibits regime dependence characteristics. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:International Journal of Finance & Economics. 2024/04, Vol. 29, Issue 2, p1432
- Document Type:Article
- Subject Area:Economics
- Publication Date:2024
- ISSN:1076-9307
- DOI:10.1002/ijfe.2746
- Accession Number:176473404
- Copyright Statement:Copyright of International Journal of Finance & Economics is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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