Halim, Edward and Riyanto, Yohanes E. and Roy, Nilanjan and Wang, Yan (2022): The Bright Side of Dark Markets: Experiments.
Preview |
PDF
MPRA_paper_111803.pdf Download (1MB) | Preview |
Abstract
We design an experiment to study the effects of dark trading on incentives to acquire costly information, price efficiency, market liquidity, and investors' earnings in a financial market. When the information precision is high, adding a dark pool alongside a lit exchange encourages information acquisition, crowds out liquidity from the lit market, and results in a non-linear relationship between price efficiency and dark pool participation. At modest levels, dark pools enhance information aggregation. Investors with stronger signals use the lit exchange relatively more, and uninformed traders are better off when they trade more in the dark pool.
Item Type: | MPRA Paper |
---|---|
Original Title: | The Bright Side of Dark Markets: Experiments |
Language: | English |
Keywords: | Market institutions, dark pools, information aggregation, the efficiency of security markets, costly information acquisition, experiments |
Subjects: | C - Mathematical and Quantitative Methods > C9 - Design of Experiments > C91 - Laboratory, Individual Behavior C - Mathematical and Quantitative Methods > C9 - Design of Experiments > C92 - Laboratory, Group Behavior G - Financial Economics > G1 - General Financial Markets > G12 - Asset Pricing ; Trading Volume ; Bond Interest Rates G - Financial Economics > G1 - General Financial Markets > G14 - Information and Market Efficiency ; Event Studies ; Insider Trading |
Item ID: | 111803 |
Depositing User: | Dr. Nilanjan Roy |
Date Deposited: | 05 Feb 2022 08:00 |
Last Modified: | 05 Feb 2022 08:00 |
References: | [1] Ackert, L. F., B. K. Church, and M. Shehata, 1997, Market behavior in the presence of costly, imperfect information: Experimental evidence, Journal of Economic Behavior and Organization 33, 61-74. [2] Albuquerque, R., S. Song, and C. Yao, 2020, The price effects of liquidity shocks: A study of SEC's tick-size experiment, Journal of Financial Economics 138, 700-724. [3] Anderson, L. R., and C. A. Holt, 1997, Information cascades in the laboratory, American Economic Review 87, 847-862. [4] Asparouhova, E., and P. Bossaerts, 2017, Experiments on percolation of information in dark markets, The Economic Journal 127, F518-F544. [5] Asparouhova, E., P. Bossaerts, and W. Yang, 2019, Costly information acquisition in decentralized markets: An experiment, SSRN Working Paper 3079240. [6] Baruch, S., 2005, Who benefits from an open limit-order book? Journal of Business 78, 1267-1306. [7] Bloomfield, R., M. O'Hara, and G. Saar, 2015, Hidden liquidity: Some new light on dark trading, Journal of Finance 70, 2227-2274. [8] Blume, M. E., and M. A. Goldstein, 1997, Quotes, order flow, and price discovery, Journal of Finance 52, 221-244. [9] Boulatov, A., and T. George, 2013, Hidden and displayed liquidity in securities markets with informed liquidity providers, Review of Financial Studies 26, 2095-2137. [10] Brogaard, J., and J. Pan, 2021, Dark pool trading and information acquisition, Review of Financial Studies, forthcoming. [11] Buti, S., and B. Rindi, 2013, Undisclosed orders and optimal submission strategies in a limit order market, Journal of Financial Economics 109, 797-812. [12] Buti, S., B. Rindi, and I. Werner, 2011, Diving into dark pools, Working Paper, Universit\'{e} Paris Dauphine. [13] Comerton-Forde, C., and T. Putni\c n\u s, 2015, Dark pool trading and price discovery, Journal of Financial Economics 118, 70-92. [14] Copeland, T. E., and D. Friedman, 1992, The market value of information: Some experimental results, Journal of Business 65, 241-266. [15] Deck, C., and D. Porter, 2013, Prediction markets in the laboratory, Journal of Economic Surveys 27, 589-603. [16] Duffie, D., 2012, Dark Markets: Asset pricing and information transmission in over-the-counter markets, Princeton Lectures in Finance, Princeton University Press. [17] Duffie, D., N. G\^{a}rleanu, and L. H. Pedersen, 2005, Over-the-counter markets, Econometrica 73, 1815-1847. [18] Duffie, D., S. Malamud, and G. Manso, 2009, Information percolation with equilibrium search dynamics, Econometrica 77, 1513-1574. [19] Duffie, D., S. Malamud, and G. Manso, 2014, Information percolation in segmented markets, Journal of Economic Theory 153, 1-32. [20] Fama, E. F., 1970, Efficient capital markets: A review of theory and empirical work, Journal of Finance 25, 383-417. [21] Fischbacher, U., 2007, z-Tree: Zurich toolbox for ready-made economic experiments, Experimental Economics 10, 171-178. [22] Fleming, M., and G. Nguyen, 2013, Order flow segmentation and the role of dark pool trading in the price discovery of U.S. Treasury securities, Working Paper, Federal Reserve Bank of New York. [23] Foley, S., and T. Putni\c n\u s, 2016, Should we be afraid of the dark? Dark pool trading and market quality, Journal of Financial Economics 122, 456-481. [24] Gozluklu, A. E., 2016, Pre-trade transparency and informed trading: Experimental evidence on undisclosed orders, Journal of Financial Markets 28, 91-115. [25] Grossman, S. J., 1976, On the efficiency of competitive stock markets where traders have diverse information, Journal of Finance 31, 573-585. [26] Grossman, S. J., and J. E. Stiglitz, 1980, On the possibility of informationally efficient markets, American Economic Review 70, 393-408. [27] Halim, E., Y. E. Riyanto, and N. Roy, 2019, Costly information acquisition, social networks, and asset prices: Experimental evidence, Journal of Finance 74, 1975-2010. [28] Hatheway, F., A. Kwan, and H. Zhen, 2017, An empirical analysis of market segmentation on U.S. equities markets, Journal of Financial and Quantitative Analysis 52, 2399-2427. [29] Hayek, F., 1945, The use of knowledge in society, American Economic Review 35, 519-530. [30] Hendershott, T., and C. M. Jones, 2005, Island goes dark: Transparency, fragmentation, and regulation, Review of Financial Studies 18, 743-793. [31] Hendershott, T., and H. Mendelson, 2000, Crossing networks and dealer markets: Competition and performance, Journal of Finance 55, 2071-2115. [32] Holt, C. A., and S. K. Laury, 2002, Risk aversion and incentive effects, American Economic Review 92, 1644-1655. [33] Hu, D., C. M. Jones, and X. Zhang, 2021, When do informed short sellers trade? Evidence from intraday data and implications for informed trading models, SSRN Working Paper 3761523. [34] Huber, J., M. Angerer, and M. Kirchler, 2011, Experimental asset markets with endogenous choice of costly asymmetric information, Experimental Economics 14, 223-240. [35] Jiang, C. X., T. H. McInish, and J. Upson, 2012, Market fragmentation and information quality: The role of TRF trades, SSRN Working Paper 1960115. [36] Kyle, A., 1985, Continuous auctions and insider trading, Econometrica 53, 1315-1335. [37] Madhavan, A., D. Porter, and D. Weaver, 2005, Should securities markets be transparent? Journal of Financial Markets 8, 266-288. [38] Malamud, S., and M. Rostek, 2017, Decentralized exchange, American Economic Review 107, 3320-3362. [39] Nimalendran, M., and S. Ray, 2014, Informational linkages between dark and lit trading venues, Journal of Financial Markets 17, 230-261. [40] Noussair, C. N., and S. Tucker, 2013, Experimental research on asset pricing, Journal of Economic Surveys 27, 554-569. [41] Page, L., and C. Siemroth, 2017, An experimental analysis of information acquisition in prediction markets, Games and Economic Behavior 101, 354-378. [42] Palan, S., 2013, A review of bubbles and crashes in experimental asset markets, Journal of Economic Surveys 27, 570-588. [43] Reed, A. V., M. Samadi, and J. S. Sokobin, 2020, Shorting in broad daylight: Short sales and venue choice, Journal of Financial and Quantitative Analysis 55, 2246-2269. [44] Rostek, M., and J. H. Yoon, 2020, Equilibrium theory of financial markets: Recent developments, SSRN Working Paper 3710206. [45] St\"{o}ckl, T., J. Huber, and M. Kirchler, 2015, Multi-period experimental asset markets with distinct fundamental value regimes, Experimental Economics 18, 314-334. [46] Sunder, S., 1992, Market for information: Experimental evidence, Econometrica 60, 667-695. [47] Sunder, S., 1995, Experimental asset markets: A survey, in John H. Kagel and Alvin E. Roth, eds.: The Handbook of Experimental Economics, Vol. 1 (Princeton University Press). [48] Verrecchia, R. E., 1982, Information acquisition in a noisy rational expectations economy, Econometrica 50, 1415-1430. [49] Weller, B., 2018, Does algorithmic trading deter information acquisition? Review of Financial Studies 31, 2184-2226. [50] Ye, M., 2011, A glimpse into the dark: Price formation, transaction cost and market share of the crossing network, SSRN Working Paper 1521494. [51] Ye, L., 2016, Understanding the impacts of dark pools on price discovery, Working Paper, SSRN Electronic Journal, 10.2139/ssrn.2874957. [52] Ye, M., and W. Zhu, 2020, Strategic informed trading and dark pools, SSRN Working Paper 3292516. [53] Zhu, H., 2014, Do dark pools harm price discovery? Review of Financial Studies 27, 747-789. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/111803 |