Are Asian exchanges outliers? A market quality criterion
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DOIhttp://dx.doi.org/10.21511/imfi.18(2).2021.06
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Article InfoVolume 18 2021, Issue #2, pp. 64-78
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This paper provides a practical, empirical and theoretical framework that allows investment managers to evaluate stock exchanges’ market quality when choosing among different plausible international trading venues. To compare trading exchanges, it extends the hypothesis of market microstructure invariance to trading across exchanges. A measure ω, the ratio of the market-wide volatility to microstructure invariance, is introduced. The paper computes ω for the exchanges around the world. Its value for the NSE (India) is 24.5%, the Korea Exchange (Korea) is 7.9%, the Shanghai Exchange (China) is 3.5%, and the Shenzhen Exchange (China) is 4.4%, which is significantly different from that of major exchanges in the USA (NYSE – 0.8%, NASDAQ – 1.3%) and Europe (LSE (UK) – 0.4). This country risk dimension clearly identifies which equity exchanges cannot hold their own direct correlational hedges and therefore mandatorily require derivative positions, and has significant implications for the decision making of global long-short equity asset allocators in the Asian listed equity markets.
- Keywords
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JEL Classification (Paper profile tab)G11, G14, G15
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References48
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Tables7
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Figures2
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- Figure 1. Trends in in 2004–2018
- Figure 2. Platform growth: Number of companies listed on the exchanges from 2004 to 2018
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- Table 1. Quartile statistics for the turnover-per-trade (2018)*
- Table 2. 2018 values for (sqrt (trades per day)) upon (turnover per trade)
- Table 3. Trends in from 2004 to 2018 in emerging Asian stock exchanges (in percent)
- Table 4. Derivative business (2018)
- Table 5. Number of shares of representative stocks on the NYSE and NSE large cap index traded in a representative trade
- Table A1. Data sample for the year 2018
- Table A2. Daily turnover-per-trade with 2004 as the base year (normalized to 1)
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