Dynamic heterogeneous panel analysis of the correlation between stock prices and exchange rates
Bibliographic Data
| ID | 15066790 |
|---|---|
| Authors | Yuan-Ming Lee (0000-0002-4054-2651, Southern Taiwan University of Science and Technology), Kang Mi Wang (0000-0002-0237-0596, Overseas Chinese University, corresponding author) |
| Year | 2015 |
| Volume | 28 |
| Issue | 1 |
| Pages | 749-772 |
| Publication date | 2015-01-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Economic Research-Ekonomska Istraživanja (JOURNAL) |
| Journal identifiers | ISSN: 1331-677X • E-ISSN: 1848-9664 |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/1331677x.2015.1084889 |
| OpenAlex | W2175930655 |
| Language | EN |
| Citations received | 4 |
| References cited | 29 |
This article uses quarterly data from 29 countries, during the period from the first quarter of 2000 to the second quarter of 2011, and the Pooled Mean Group (PMG) method to estimate the dynamic heterogeneous panel data model and to verify the correlation between stock prices and exchange rates. According to empirical results, the stock market and the foreign exchange market have a long-run co-integration relationship. In the short-run, the stock market and the foreign exchange market are negatively correlated, supporting the viewpoints of the portfolio approach. However, using the error-correction adjustment process, the long-run relationship between the two is positive, supporting the results of the traditional approach. This study suggests that the viewpoints of both the portfolio approach and the traditional approach can co-exist through long- and short-run adjustments
Cointegration · Econometrics · Economics · Error correction model · Financial economics · Foreign exchange · Monetary economics · Panel data · Portfolio · Short run · Stock exchange · Stock market · Viewpoints · Financial Markets and Investment Strategies · Market Dynamics and Volatility · Monetary Policy and Economic Impact · Finance
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| Citations per year | 1 |
|---|---|
| Citation span | 2022 - 2025 (4) |
| Highly cited | No |