4 IMPLICATIONS
The valuation disparity between A-shares and H-
shares highlights the tension between behavioural
finance and classical financial theories. Efficient
Market Hypothesis (EMH) forecasts price formation
in efficient markets, but theories of behavioural
finance, such as SP/A theory and loss aversion, better
capture markets where irrational investor sentiments
dominate. For instance, based on SP/A theory,
investors make decisions based on security, potential
and aspiration (Lopes, 1987). In the A-share market,
this dual motivation leads investors to overlook risks
and chase the potential for high returns.
Despite the wide price differentials, structural
limitations in the form of capital flow restrictions and
exchange rate volatility limit the scope for A-H share
arbitrage opportunities. Despite programs like the
Stock Connect schemes that enable cross-border
trading, their efficiency is undermined by quota limits
and delays in settlement, which increase the costs of
arbitrage and reduce efficiency. Hedging charges on
exchange rate volatility and regulation also limit the
operations of arbitrage. An analysis of the limits to
arbitrage based on Stock Connect data shows that
when the nominal premium exceeds the 200% mark,
the presence of the 15-day cross-border settlement
duration and hedging charges that capture 32% of
returns reduces the actual room for arbitrage to as low
as 28% of the theoretical value. More significantly,
the central bank’s “abnormal trading circuit breaker
mechanism” that became active in 2023 reduced the
number of trading days on which the premium
increased above 250% by 67%, effectively creating
an institutional barrier to arbitrage (People’s Bank of
China [PBOC], 2023). To narrow the gap in the
valuation of the A-shares, policy reforms must focus
on enhancing transparency in the market and investor
education. Institutional investors must be encouraged
to come in the A-share market, and strict disclosure
standards must be adopted to eliminate speculative
trading activity. Harmonization of the two markets'
regulatory systems would improve corporate
governance and transparency in general, creating an
integrated and efficient capital market.
5 CONCLUSIONS
To sum up, this study examines the A-H share price
difference, cross-market arbitrage opportunities, and
the determinants that influence them. The findings
indicate that the high premium on the A-share market
stems largely from the sentiment-driven trading by
individual investors, liquidity premiums, and varying
regulations, but H-share prices are more closely
associated with the underlying value because of the
strict regulatory policies. Behavioural finance
theories, such as the anchoring effect and the aversion
to loss, explain the preference by the investors in the
A-shares for high prices and their irrational trading.
Despite the mechanisms such as the Stock Connect
programs that increase the integration of the two
markets, the arbitrage trades remain limited by
exchange rate volatility, costs, and regulations. To
close the gap in the valuation of the A-share, the
future should be directed towards encouraging the
participation of institutions in the A-share market,
enhancing information transparency, and perfecting
cross-border investment mechanisms. As the capital
market reform in China goes deeper, the price gap
between the A-share and the H-share may narrow
gradually, but market sentiment and policy
adjustments will still dominate its dynamic
development. Hence, investors must pay close
attention to market structure and behavioural finance
when making cross-market investment decisions to
maximize returns and avoid potential risks. This
study has valuable insights for policy makers and
investors, as it helps better comprehend the dynamics
of the prices of A-H shares and makes
recommendations on enhancing the efficiency and
stability of the market.
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