Machines and Markets : Assessing the Impact of Algorithmic Trading on Financial Market Efficiency
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- Oliver Linton & Soheil Mahmoodzadeh, 2018.
"Implications of High-Frequency Trading for Security Markets,"
Annual Review of Economics, Annual Reviews, vol. 10(1), pages 237-259, August.
- Linton, O. & Mahmoodzadeh, S., 2018. "Implications of High-Frequency Trading for Security Markets," Cambridge Working Papers in Economics 1802, Faculty of Economics, University of Cambridge.
- Oliver Linton & Soheil Mahmoodzadeh, 2018. "Implications of high-frequency trading for security markets," CeMMAP working papers CWP06/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Marc Oliver Rieger & Mei Wang & Thorsten Hens, 2017. "Estimating cumulative prospect theory parameters from an international survey," Theory and Decision, Springer, vol. 82(4), pages 567-596, April.
- Lo, Andrew W. & MacKinlay, A. Craig, 1989.
"The size and power of the variance ratio test in finite samples : A Monte Carlo investigation,"
Journal of Econometrics, Elsevier, vol. 40(2), pages 203-238, February.
- Andrew W. Lo & Craig A. MacKinlay, "undated". "The Size and Power of the Variance Ratio Test in Finite Samples: A Monte Carlo Investigation," Rodney L. White Center for Financial Research Working Papers 28-87, Wharton School Rodney L. White Center for Financial Research.
- Andrew W. Lo & A. Craig MacKinlay, 1988. "The Size and Power of the Variance Ratio Test in Finite Samples: A Monte Carlo Investigation," NBER Technical Working Papers 0066, National Bureau of Economic Research, Inc.
- Terrence Hendershott & Charles M. Jones & Albert J. Menkveld, 2011.
"Does Algorithmic Trading Improve Liquidity?,"
Journal of Finance, American Finance Association, vol. 66(1), pages 1-33, February.
- Hendershott, Terrence & Jones, Charles M. & Menkveld, Albert J., 2008. "Does algorithmic trading improve liquidity?," CFS Working Paper Series 2008/41, Center for Financial Studies (CFS).
- Jonathan Brogaard & Terrence Hendershott & Ryan Riordan, 2014.
"High-Frequency Trading and Price Discovery,"
The Review of Financial Studies, Society for Financial Studies, vol. 27(8), pages 2267-2306.
- Brogaard, Jonathan & Hendershott, Terrence & Riordan, Ryan, 2013. "High frequency trading and price discovery," Working Paper Series 1602, European Central Bank.
- Tversky, Amos & Kahneman, Daniel, 1992. "Advances in Prospect Theory: Cumulative Representation of Uncertainty," Journal of Risk and Uncertainty, Springer, vol. 5(4), pages 297-323, October.
- Martin, Ian W.R. & Nagel, Stefan, 2022.
"Market efficiency in the age of big data,"
Journal of Financial Economics, Elsevier, vol. 145(1), pages 154-177.
- Ian Martin & Stefan Nagel, 2019. "Market Efficiency in the Age of Big Data," NBER Working Papers 26586, National Bureau of Economic Research, Inc.
- Martin, Ian W.R. & Nagel, Stefan, 2022. "Market efficiency in the age of big data," LSE Research Online Documents on Economics 112960, London School of Economics and Political Science, LSE Library.
- Martin, Ian & Nagel, Stefan, 2019. "Market Efficiency in the Age of Big Data," CEPR Discussion Papers 14235, C.E.P.R. Discussion Papers.
- Ian Martin & Stefan Nagel, 2019. "Market Efficiency in the Age of Big Data," CESifo Working Paper Series 8015, CESifo.
- Menkveld, Albert J., 2013.
"High frequency trading and the new market makers,"
Journal of Financial Markets, Elsevier, vol. 16(4), pages 712-740.
- Albert J. Menkveld, 2011. "High Frequency Trading and the New-Market Makers," Tinbergen Institute Discussion Papers 11-076/2/DSF21, Tinbergen Institute, revised 15 Aug 2011.
- Albert J. Menkveld & Boyan Jovanovic, 2010. "Middlemen in Limit Order Markets," 2010 Meeting Papers 955, Society for Economic Dynamics.
- Terrence Hendershott & Ryan Riordan, 2009. "Algorithmic Trading and Information," Working Papers 09-08, NET Institute, revised Aug 2009.
- Graham, John R. & Harvey, Campbell R., 2001. "The theory and practice of corporate finance: evidence from the field," Journal of Financial Economics, Elsevier, vol. 60(2-3), pages 187-243, May.
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- Corsetti, G. & Lafarguette, R. & Mehl, A., 2019. "Fast Trading and the Virtue of Entropy: Evidence from the Foreign Exchange Market," Cambridge Working Papers in Economics 1970, Faculty of Economics, University of Cambridge.
- Corsetti, Giancarlo & Lafarguette, Romain & Mehl, Arnaud, 2019. "Fast trading and the virtue of entropy: evidence from the foreign exchange market," Working Paper Series 2300, European Central Bank.
- Friederich, Sylvain & Payne, Richard, 2015. "Order-to-trade ratios and market liquidity," Journal of Banking & Finance, Elsevier, vol. 50(C), pages 214-223.
- Paul Handro & Bogdan Dima, 2024. "Analyzing Financial Markets Efficiency: Insights from a Bibliometric and Content Review," Journal of Financial Studies, Institute of Financial Studies, vol. 16(9), pages 119-175, May.
More about this item
Keywords
Neural Networks ; Agent-Based Modelling ; Efficient Market Hypothesis ; Stock Market Simulation ; Financial Regulation JEL Classification: C45 ; C53 ; G14 ; G17 ; G18;All these keywords.
JEL classification:
- C45 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Neural Networks and Related Topics
- C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
- G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
- G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation
- G18 - Financial Economics - - General Financial Markets - - - Government Policy and Regulation
NEP fields
This paper has been announced in the following NEP Reports:- NEP-BIG-2022-01-31 (Big Data)
- NEP-CMP-2022-01-31 (Computational Economics)
- NEP-FDG-2022-01-31 (Financial Development and Growth)
- NEP-HME-2022-01-31 (Heterodox Microeconomics)
- NEP-MST-2022-01-31 (Market Microstructure)
- NEP-ORE-2022-01-31 (Operations Research)
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