The Synchronisation of ASEAN-5 Stock Markets with the Growth Rate Cycles of Selected Emerging and Developed Economies

Teng, Kee Tuan; Yen, Siew Hwa; Chua, Soo Y.

doi:10.1177/0973801012466100

Cited by 5 publications

(4 citation statements)

References 37 publications

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“…The existing empirical analyses on the fluctuation in Indian economic activities and its impact on the stock markets in the Asian countries are still limited. Teng, Yen and Chua (2013b) found that Indian economic growth rate cycle was marginally concordant with stock markets' cycles. This finding did not literally prove whether the movement is just a coincident or a contagion effect.…”

Section: Literature Reviewmentioning

confidence: 95%

Do Indian Economic Activities Impact ASEAN-5 Stock Markets?

Teng¹,

Yean²,

Soo³

2015

JEM

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Section: Literature Reviewmentioning

confidence: 95%

Do Indian Economic Activities Impact ASEAN-5 Stock Markets?

Teng¹,

Yean²,

Soo³

2015

JEM

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“…[8] Teng Kee Tuan et al studied the linkage of the stock markets between China and ASEAN through the synergy index, found that the stock market linkage of China and ASEAN has been growing since the establishment of the ASEAN Free Trade Area. [9][8] HH Lean and R Smyth studied the cointegration relationship of stock market between China and ASEAN, found that the impact was rapid in a short time and there was a cointegration relationship for a long time. [10] Lei C et al analysed the dynamic correlation coefficient between China and the ASEAN-5, and found that there was a cointegration relationship from 1994 and 2002.…”

Section: The Co-movement Between China and Asean Stock Marketsmentioning

confidence: 99%

Untitled

2023

IJDKP

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By constructing the volatility network of stock market indexes in China and ASEAN, the mechanism of transnational market risk transmission and the characteristics of key nodes are analysed. Finding the volatility network is a good description of the linkage and tightness of the various share index volatility. The COVID-2019 led to a significant increase in convergence of behaviour patterns of major country share indexes, and significant differences in node changes and topological features of the volatility network. A few share indexes in Singapore and Thailand are key nodes and the source of market risk in the transnational stock market. Dynamic analysis shows that the evolution of share index volatility network reflects that the overall risk of volatility network changes with time, the information link structure of the market changes with time, and major emergencies break the original structure and trigger the information connection in the market. The findings of this paper have important implications for understanding the characteristics of transnational risk transmission between the stock markets of China and ASEAN.

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“…The Malaysian stock market, in fact, was more resilient to changes in the Chinese stock market than the US stock market. In addition, Teng et al (2013) found that the ASEAN-5 stock market was closely integrated with the US and Japanese stock markets in terms of finance, by utilising monthly data from January 1991 to June 2010. Indeed, an upward trend in financial convergence between ASEAN-5 and developing and developed countries has been noted.…”

Section: Us Stock Marketmentioning

confidence: 99%

The Relationship between Macroeconomic Factors and The Performance of Stock Market in Malaysia: The Case of Malaysia Industrial Product and Services Sector

Ya’acob¹,

Akbar²,

Ghul³

et al. 2021

IJARBSS

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For years, researchers have been studying the factors that influence stock market performance. Typically, it concentrates on Malaysia's macroeconomic conditions. The goal of this study is to close the gap by examining the elements that influence the stock market's production in Malaysia. More precisely, it includes real exchange rate, money supply, inflation rate inflation rate and US stock market in measuring their relationships with the performance of the Malaysian stock market price. This analysis attempts to expand the existing literature. It will focus on the industrial products and services sector and will collect Bursa Malaysia data as a dependent variable sample. World Bank Data were collected for independent variable data on monthly basis from 2016 until 2020. Based on the results, three out of four variables were found to be significant. Real exchange rate, money supply, and the performance of the US stock market were either substantially negative or positive in comparison to the performance of the Kuala Lumpur Industrial Product (KLIP) stock market. On the other hand, there was an insignificant relationship between the Kuala Lumpur Industrial Product (KLIP) stock market and inflation rate (CPI).

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The Synchronisation of ASEAN-5 Stock Markets with the Growth Rate Cycles of Selected Emerging and Developed Economies

Cited by 5 publications

References 37 publications

Do Indian Economic Activities Impact ASEAN-5 Stock Markets?

Do Indian Economic Activities Impact ASEAN-5 Stock Markets?

Untitled

The Relationship between Macroeconomic Factors and The Performance of Stock Market in Malaysia: The Case of Malaysia Industrial Product and Services Sector

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