2020
DOI: 10.1057/s41308-020-00113-5
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The Determinants of China’s International Portfolio Equity Allocations

Abstract: Any opinions expressed in this paper are those of the author(s) and not those of IZA. Research published in this series may include views on policy, but IZA takes no institutional policy positions. The IZA research network is committed to the IZA Guiding Principles of Research Integrity. The IZA Institute of Labor Economics is an independent economic research institute that conducts research in labor economics and offers evidence-based policy advice on labor market issues. Supported by the Deutsche Post Founda… Show more

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Cited by 10 publications
(9 citation statements)
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References 23 publications
(20 reference statements)
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“…, andJain et al, (2017). Whereas, findings of this study are in stark contrast with findings ofAgarwal et al (2020).…”
contrasting
confidence: 99%
See 2 more Smart Citations
“…, andJain et al, (2017). Whereas, findings of this study are in stark contrast with findings ofAgarwal et al (2020).…”
contrasting
confidence: 99%
“…Using data from 41 countries, Jain et al (2017) report significant positive relations between stock market returns and portfolio inflows in a host country. In contrast, Agarwal et al, (2020) find that stock market returns of a host country do not play any significant role in Chinese portfolio investment abroad. This differences of opinion motivate us to test further the effect of stock market returns on foreign investment in Pakistan.…”
Section: Determinants Of Foreign Investment In Pakistanmentioning
confidence: 62%
See 1 more Smart Citation
“…The model specification is in line withFuest et al (2019) andAgarwal et al (2020).8 Agarwal et al (2020) found that Chinese institutional investors are biased towards sectors in which China has a comparative disadvantage and the destination countries have a comparative advantage in their foreign portfolio allocations.9 Many studies in the literature, such asFuest et al (2019), used the Bureau van Dijk Zephyr database Bollaert and Delanghe (2015). find that the Thomson Reuters dataset might be superior due to two main shortcomings of the Zephyr dataset: (i) continuous overwriting of firm-level data; and (ii) inaccuracies in announcement dates.…”
mentioning
confidence: 88%
“…In particular, the RCA index captures the extent to which a country is better than the rest of the world at producing goods/services in a certain sector. As shown in Agarwal et al (2020), the RCA index can help explain China's international portfolio equity allocations. 8 As a robustness check, we also replace industry FE with firm FE to control for firm-specific factors.…”
Section: Empirical Analysis a Empirical Specificationmentioning
confidence: 99%