pisco_log
banner

Pricing Deviation Correction of Cross-border ETFs: A Mathematical Derivation and Empirical Study Based on Arbitrage-Free Pricing Theory

Jingyao Wang

Abstract


As a key link connecting domestic and foreign capital markets, cross-border ETFs have long had a deviation between their secondary market transaction prices and Net Asset Value (NAV), which seriously impacts the efficiency of cross-border capital allocation and the
protection of investors' interests. Taking the arbitrage-free pricing theory as the core framework, this paper incorporates cross-border-specific
variables such as exchange rate fluctuations, QDII quota constraints, transaction costs, and time zone differences to construct a mathematical
model of the arbitrage-free pricing interval for cross-border ETFs under multi-constraint conditions, and systematically derives the formation
mechanism and dynamic correction path of pricing deviations. The conclusions provide theoretical support and empirical basis for investors to
optimize arbitrage strategies and for regulators to improve the supervision mechanism of cross-border ETFs.

Keywords


Cross-border ETFs; Pricing Deviation; Arbitrage-Free Pricing; Error Correction Model; QDII Quota Constraints

Full Text:

PDF

Included Database


References


[1] Wu Z Q. The Impact of ETF Option Listing on Fund Shares[D]. Shanghai University of Finance and Economics, 2024. DOI: 10.27296/

d.cnki.gshcu.2024.000220.

[2] Ma G C. Research on the Influencing Factors of Market Efficiency of Science and Technology Innovation 50 ETF Options[D]. Shanghai

University of Finance and Economics, 2024. DOI: 10.27296/d.cnki.gshcu.2024.000666.

[3] Wu M Y. Research on Changes in Investors' Risk Preference During Asset Price Bubble Periods[D]. Jilin University of Finance and

Economics, 2024. DOI: 10.26979/d.cnki.gccsc.2024.000072.

[4] Liu X. Research on the Impact of Investor Sentiment on Price Volatility of China's ETFs[D]. Northwest Normal University, 2024. DOI:

10.27410/d.cnki.gxbfu.2024.000463.

[5] Qiu D B. Research on Quantitative Strategies of Multi-Factor Stock Selection and Hidden Markov Model Market Timing Based on ESG

Investment Concept[D]. Southwest University of Science and Technology, 2023. DOI: 10.27415/d.cnki.gxngc.2023.000669.




DOI: http://dx.doi.org/10.70711/memf.v3i3.8865

Refbacks

  • There are currently no refbacks.