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International Monetary Fund. Monetary and Capital Markets Department
Hong Kong SAR has, over the recent years, become an equity trading hub catering to domestic and foreign investors, including increasingly to investors from Mainland China. Most trading is conducted on markets operated by recognized exchange companies, with limited domestic trading happening via automated trading services (ATS) providers in the form of alternative liquidity pools. The introduction of Stock Connect in 2014 enabled investors from Hong Kong (including domestic and foreign) to directly invest in the Shanghai and later Shenzhen markets and investors from the Mainland to directly access the Hong Kong market. Trading via Stock Connect has seen a steady rise over the last few years, increasing the linkages between Hong Kong SAR and the Mainland. Mainland companies currently account for over 60 per cent of market capitalization of the equities traded on the Stock Exchange of Hong Kong (SEHK).
Mr. David T. Coe
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Mr. Willy A Hoffmaister
Keller (1998) reexamines Coe and Helpman’s (1995) analysis of international R&D spillovers focusing on the weights used to define the foreign R&D capital stock. Keller creates “random” weights and shows that they give rise to positive estimates of international R&D spillovers, casting doubts on the robustness of Coe and Helpman’s findings. We show that Keller’s “random” weights are essentially simple averages with a random error. We derive alternative random weights and present regressions showing that when they are used to define the foreign R&D capital stock, the estimated international R&D spillover estimates are nonexistent, as would be expected.
Mr. Ian Domowitz
Automated trade execution systems are examined with respect to the degree to which they automate the price discovery process. Seven levels of automation of price discovery are identified, and 47 systems are classified according to these criteria. Systems operating at various levels of automation are compared with respect to age, geographical location, and type of securities traded. Information provided to market participants, and asymmetries of information between traders with direct access to the automated market and outside investors also are examined. It is found, for example, that the degree of asymmetric information increases with the level of automation of price discovery. The potential for trading abuses related to prearranged trading, noncompetitive execution, and trading ahead of customers is analyzed for each level of automation. Certain levels of automation widen the opportunities for trading abuses in some respects, but may narrow them in others.
Mr. Ian Domowitz
A taxonomy of existing and planned automated trade execution systems in financial markets is provided. Over 50 automated market structures in 16 countries are analyzed. The classification scheme is organized around the principle that such markets consist of an algorithm that performs a trade matching function, together with information display and transmission mechanisms. Automated market structures are classified by ordered sets of trade execution priority rules, trade matching protocols and associated degree of automation of price discovery, and transparency, to include informational asymmetries between classes of market participants. Systematic differences in systems across types of financial instruments, geographical market centers, and over time are analyzed.