2021
DOI: 10.1186/s40854-021-00262-0
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Do the RMB exchange rate and global commodity prices have asymmetric or symmetric effects on China’s stock prices?

Abstract: With the rapid expansion of the RMB exchange rate’s floating range, the effects of the RMB exchange rate and global commodity price changes on China’s stock prices are likely to increase. This study uses both auto regressive distributed lag (ARDL) and nonlinear ARDL (NARDL) approaches to explore the symmetric and asymmetric effects of the RMB exchange rate and global commodity prices on China’s stock prices. Our findings show that without considering the critical variable of global commodity prices, there is … Show more

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Cited by 15 publications
(5 citation statements)
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“…Nonetheless, in the long run, this effect only holds for the recession period. Although this relationship is not assessed using quantile approaches, our evidence can be supported by Long et al (2021a) who also revealed negative symmetric and asymmetric effects of the RMB exchange rate on China's stock prices using ARDL and NARDL approaches.…”
Section: Data Analysis and Discussionsupporting
confidence: 65%
“…Nonetheless, in the long run, this effect only holds for the recession period. Although this relationship is not assessed using quantile approaches, our evidence can be supported by Long et al (2021a) who also revealed negative symmetric and asymmetric effects of the RMB exchange rate on China's stock prices using ARDL and NARDL approaches.…”
Section: Data Analysis and Discussionsupporting
confidence: 65%
“…Efek ekonomi makro perusahaan meliputi tingkat bunga, inflasi mata uang, politik, dan tingkat produktivitas nasional. Beberapa faktor mikro yang mempengaruhi harga saham yaitu kinerja manajemen, harga produk, bahan baku yang tersedia, kinerja karyawan, dan faktor lain yang berdampak pada keuntungan perusahaan (Long et al, 2021). Jika investor menggunakan informasi terkait saat membuat keputusan investasi, maka harga suatu saham akan mencerminkan nilai fundamental perusahaan (Defi & Wahyudi, 2022).…”
unclassified
“…Additionally, it excels at uncovering hidden cointegration among variables, ensuring a more thorough and intricate analysis. This aspect is particularly highlighted in the research by Jiang and Liu [113] and Long et al [114]. In comparison to traditional analytical methods, both linear and nonlinear autoregressive distributed lag models offer substantial advantages.…”
Section: Econometric Modelmentioning
confidence: 99%