Importance The article offers characteristics of the US stock market's main innovations, and reveals their advantages and disadvantages with respect to traders. The research subject deals with the issue how the innovation facilitates solving the classical problems of stock market trade. We point out that classical problems of traders involve those challenges, which they have been solving since the stock market emergence, i.e. costs minimization, market liquidity and information on trade strategies. Objectives The paper identifies the major changes which happened since the beginning of the 21st century in the US stock market, and also provides a comparative analysis in relation to the Russian stock market, and evaluates its prospects. Methods The research technique is based on the study of scientific articles and statistical information on a subject of stock trading innovations. On the basis of the data received from open information sources, we have made a general conclusion of data about the technologies applied or to be applied on the Russian stock market. Quantitative and qualitative evaluation of new technologies impact on securities market became the result of research. Results An area of application of this research may become extrapolation of the USA experience in the Russian stock market. In particular, in case of change of stock market architecture in the Russian Federation and its further liberalization in the coming years, the American experience can be useful in terms of overcoming difficulties while promoting innovation. Conclusions and Relevance We conclude that the new trading technologies in stock market enabled to increase response speed, to narrow spreads and to reduce merchant discount rates.
Birzhevoe delo: uchebnik [Exchange trade business: a textbook]. Moscow, Yurait Publ., 2013, 372 p.
Volodin S.N. Vliyanie shirokogo rasprostraneniya algoritmicheskoi torgovli na sovremennye fondovye rynki [Impact of a wide spread occurrence of algorithmic trade on modern stock markets]. Audit i finansovyi analiz = Audit and financial analysis, 2012, no. 5, pp. 334–338.
Darushin I.A., L'vova N.A. Rossiiskie emitenty: vyzovy formiruyushchegosya rynka [Russian issuers: challenges to an emerging market]. Finansy i kredit = Finance and credit, 2014, no. 10, pp. 42–50.
Kazakov V.A., Tarasov A.V., Shnyakin A.S. Sovremennye innovatsii na rossiiskom fondovom rynke [Modern innovation in the Russian stock market]. Ekonomika i upravlenie = Economy and Management, 2014, no. 4, pp. 51–55.
Lyalin V.A., Vorob'ev P.V., Darushin I.A. Rynok tsennykh bumag v voprosakh i otvetakh: uchebnik [Securities market in questions and answers: a textbook]. Moscow, Prospekt Publ., 2015, 336 p.
Maiorov S.I. Algoritmicheskaya torgovlya – za i protiv [Algorithmic trade: pro and contra]. Birzhevoe obozrenie = Stock exchange review, 2010, no. 1, pp. 9–18.
Maiorov S.I. O sovremennykh tendentsiyakh razvitiya torgovykh tekhnologii [On the current development trends of trade technologies]. Birzhevoe obozrenie = Stock exchange review, 2009, no. 10, pp. 14–16.
Moskovskaya birzha soobshchaet [The Moscow Stock Exchange reports]. Available at: Link. (In Russ.)
Penzin K. Revolyutsiya na rynke torgovykh uslug [Revolution in the trade service market]. Rynok tsennykh bumag = Securities market, 2009, no. 6, pp. 10–11.
Proekt NP RTS Best Execution [NP RTS Best Execution Project]. Available at: Link. (In Russ.)
Sankt-Peterburgskaya birzha perestala zaviset' ot Moskovskoi [St. Petersburg Stock Exchange ceased to depend from Moscow]. Available at: Link. (In Russ.)
Sokolov B.I. Instituty finansovoi informatsii [Institutions of financial information]. Finansy i kredit = Finance and credit, 2013, no. 31, pp. 2–16.
Sokolov B.I. Informatsionno-analiticheskie instituty finansovoi informatsii [Information and analytical institutions of financial information]. Problemy sovremennoi ekonomiki = Problem of Modern Economics, 2013, no. 4, pp. 210–214.
Shcherbel' M.R. Vliyanie algoritmicheskoi torgovli na torgovye sistemy fondovogo rynka Rossii v postkrizisnyi period [Influence of algorithmic trade on trade systems of the Russian stock market during the post-crisis period]. Finansy i kredit = Finance and credit, 2013, no. 17, pp. 73–80.
Angel, James and Harris, Lawrence and Spatt, Chester S. Equity Trading in the 21st Century: An Update. 06.21.2013. Available at: Link.
Bessembinder H. Trade execution costs on NASDAQ and the NYSE: A post-reform comparison. Journal of Financial and Quantitative Analysis, 1999, vol. 34, no. 3, pp. 387–408.
Hendrik Bessembinder, Kumar Venkataraman. Does an electronic stock exchange need an upstairs market? Journal of Financial Economics, 2004, no. 73, pp. 3–36.
Ekkehart Boehmer, Gideon Saar, Lei Yu. Lifting the Veil: An Analysis of Pre-Trade Transparency at the NYSE. The Journal of Finance, 2005, vol. 60, no. 2, pp. 783–815.
Boni L., Brown D.C., Leach J.C. Dark pool exclusivity matters. Available at: Link.
Hendershott T., Jones Ch.M., Menkveld A.J.Does Algorithmic Trading Improve Liquidity? The Journal of Finance, 2011, no. 1.
Madhavan A., Sofianos G.An empirical analysis of NYSE specialist trading. Journal of Financial Economics, 1998, no. 48, pp. 189–210.
NYSE-Euronext, nyx.com.
Rosenblatt Securities 2013. Let there be light. Market structure analysis.
Venkataraman K. Automated versus Floor Trading: An Analysis of Execution Costs on the Paris and New York Exchanges. The Journal of Finance, 2001, vol. 56, no. 4, pp. 1445–1485.
