Performance Of American And Russian Joint Stock Companies On Financial Market. A Microstructure Perspective
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DOI: 10.12775/EQUIL.2016.037
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- Enrico Scalas & Rudolf Gorenflo & Hugh Luckock & Francesco Mainardi & Maurizio Mantelli & Marco Raberto, 2004.
"Anomalous waiting times in high-frequency financial data,"
Quantitative Finance, Taylor & Francis Journals, vol. 4(6), pages 695-702.
- Enrico Scalas & Rudolf Gorenflo & Francesco Mainardi & Maurizio Mantelli & Marco Raberto, 2003. "Anomalous waiting times in high-frequency financial data," Papers cond-mat/0310305, arXiv.org.
- Enrico Scalas & Rudolf Gorenflo & Hugh Luckock & Francesco Mainardi & Maurizio Mantelli & Marco Raberto, 2005. "Anomalous waiting times in high-frequency financial data," Papers physics/0505210, arXiv.org.
- Bessembinder, Hendrik, 1994. "Bid-ask spreads in the interbank foreign exchange markets," Journal of Financial Economics, Elsevier, vol. 35(3), pages 317-348, June.
- Fernandes, Marcelo & Grammig, Joachim, 2006.
"A family of autoregressive conditional duration models,"
Journal of Econometrics, Elsevier, vol. 130(1), pages 1-23, January.
- FERNANDES, Marcelo & GRAMMIG, Joachim, 2001. "A family of autoregressive conditional duration models," LIDAM Discussion Papers CORE 2001036, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- Fernandes, Marcelo & Grammig, Joachim, 2003. "A family of autoregressive conditional duration models," FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE) 501, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil).
- Fernandes, Marcelo & Grammig, Joachim, 2002. "A family of autoregressive conditional duration models," FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE) 440, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil).
- Bauwens, Luc & Veredas, David, 2004.
"The stochastic conditional duration model: a latent variable model for the analysis of financial durations,"
Journal of Econometrics, Elsevier, vol. 119(2), pages 381-412, April.
- BAUWENS, Luc & VEREDAS, David, 2004. "The stochastic conditional duration model: a latent variable model for the analysis of financial durations," LIDAM Reprints CORE 1688, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- Nelson, Daniel B, 1991. "Conditional Heteroskedasticity in Asset Returns: A New Approach," Econometrica, Econometric Society, vol. 59(2), pages 347-370, March.
- Manganelli, Simone, 2005.
"Duration, volume and volatility impact of trades,"
Journal of Financial Markets, Elsevier, vol. 8(4), pages 377-399, November.
- Manganelli, Simone, 2002. "Duration, volume and volatility impact of trades," Working Paper Series 125, European Central Bank.
- Alfonso Dufour & Robert F. Engle, 2000.
"Time and the Price Impact of a Trade,"
Journal of Finance, American Finance Association, vol. 55(6), pages 2467-2498, December.
- Dufour, Alfonso & Engle, Robert F, 1999. "Time and the Price Impact of a Trade," University of California at San Diego, Economics Working Paper Series qt62c0h04j, Department of Economics, UC San Diego.
- Winfried Pohlmeier & Luc Bauwens & David Veredas, 2007. "High frequency financial econometrics. Recent developments," ULB Institutional Repository 2013/136223, ULB -- Universite Libre de Bruxelles.
- Robert F. Engle & Joe Lange, 1997. "Measuring, Forecasting and Explaining Time Varying Liquidity in the Stock Market," NBER Working Papers 6129, National Bureau of Economic Research, Inc.
- Gourieroux, Christian & Jasiak, Joanna & Le Fol, Gaelle, 1999.
"Intra-day market activity,"
Journal of Financial Markets, Elsevier, vol. 2(3), pages 193-226, August.
- Gaëlle Le Fol & Christian Gourieroux, 1999. "Intra-day market activity," Post-Print halshs-00536268, HAL.
- Grossman, Sanford J & Stiglitz, Joseph E, 1980.
"On the Impossibility of Informationally Efficient Markets,"
American Economic Review, American Economic Association, vol. 70(3), pages 393-408, June.
- Sanford J Grossman & Joseph E Stiglitz, 1997. "On the Impossibility of Informationally Efficient Markets," Levine's Working Paper Archive 1908, David K. Levine.
- Payne, Richard, 2003. "Informed trade in spot foreign exchange markets: an empirical investigation," Journal of International Economics, Elsevier, vol. 61(2), pages 307-329, December.
- Yacine Ait-Sahalia & Jialin Yu, 2008.
"High Frequency Market Microstructure Noise Estimates and Liquidity Measures,"
NBER Working Papers
13825, National Bureau of Economic Research, Inc.
- Yacine Ait-Sahalia & Jialin Yu, 2009. "High frequency market microstructure noise estimates and liquidity measures," Papers 0906.1444, arXiv.org.
- A. Obizhaeva., 2016. "The Russian ruble crisis of December 2014," VOPROSY ECONOMIKI, N.P. Redaktsiya zhurnala "Voprosy Economiki", vol. 5.
- Ghysels Eric & Jasiak Joanna, 1998. "GARCH for Irregularly Spaced Financial Data: The ACD-GARCH Model," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 2(4), pages 1-19, January.
- Glosten, Lawrence R. & Milgrom, Paul R., 1985.
"Bid, ask and transaction prices in a specialist market with heterogeneously informed traders,"
Journal of Financial Economics, Elsevier, vol. 14(1), pages 71-100, March.
- Lawrence R. Glosten & Paul R. Milgrom, 1983. "Bid, Ask and Transaction Prices in a Specialist Market with Heterogeneously Informed Traders," Discussion Papers 570, Northwestern University, Center for Mathematical Studies in Economics and Management Science.
- William Perraudin & Paolo Vitale, 1996. "Interdealer Trade and Information Flows in a Decentralized Foreign Exchange Market," NBER Chapters, in: The Microstructure of Foreign Exchange Markets, pages 73-106, National Bureau of Economic Research, Inc.
- Robert F. Engle, 2000.
"The Econometrics of Ultra-High Frequency Data,"
Econometrica, Econometric Society, vol. 68(1), pages 1-22, January.
- Robert F. Engle, 1996. "The Econometrics of Ultra-High Frequency Data," NBER Working Papers 5816, National Bureau of Economic Research, Inc.
- Luc Bauwens & Pierre Giot, 2000.
"The Logarithmic ACD Model: An Application to the Bid-Ask Quote Process of Three NYSE Stocks,"
Annals of Economics and Statistics, GENES, issue 60, pages 117-149.
- BAUWENS, Luc & GIOT, Pierre, 2000. "The logarithmic ACD model: an application to the bid-ask quote process of three NYSE stocks," LIDAM Reprints CORE 1497, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- repec:adr:anecst:y:2000:i:60:p:05 is not listed on IDEAS
- Albert S. Kyle & Anna A. Obizhaeva, 2016. "Market Microstructure Invariance: Empirical Hypotheses," Econometrica, Econometric Society, vol. 84, pages 1345-1404, July.
- Nathaniel Frank, 2009. "Linkages between asset classes during the financial crisis, accounting for market microstructure noise and non-synchronous trading," Economics Papers 2009-W04, Economics Group, Nuffield College, University of Oxford.
- Easley, David & Kiefer, Nicholas M & O'Hara, Maureen, 1997. "One Day in the Life of a Very Common Stock," The Review of Financial Studies, Society for Financial Studies, vol. 10(3), pages 805-835.
- Katarzyna Bien & Ingmar Nolte & Winfried Pohlmeier, 2008.
"A multivariate integer count hurdle model: theory and application to exchange rate dynamics,"
Studies in Empirical Economics, in: Luc Bauwens & Winfried Pohlmeier & David Veredas (ed.), High Frequency Financial Econometrics, pages 31-48,
Springer.
- Bien, Katarzyna & Nolte, Ingmar & Pohlmeier, Winfried, 2006. "A Multivariate Integer Count Hurdle model: Theory and application to exchange rate dynamics," CoFE Discussion Papers 06/06, University of Konstanz, Center of Finance and Econometrics (CoFE).
- GIOT, Pierre, 1999.
"Time transformations, intraday data and volatility models,"
LIDAM Discussion Papers CORE
1999044, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- GIOT, Pierre, 2001. "Time transformations, intraday data, and volatility models," LIDAM Reprints CORE 1500, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- Guglielmo Maria Caporale & Alex Plastun, 2016.
"Calendar Anomalies in the Ukrainian Stock Market,"
Discussion Papers of DIW Berlin
1573, DIW Berlin, German Institute for Economic Research.
- Guglielmo Maria Caporale & Alex Plastun, 2016. "Calendar Anomalies in the Ukrainian Stock Market," CESifo Working Paper Series 5877, CESifo.
- Berger, David W. & Chaboud, Alain P. & Chernenko, Sergey V. & Howorka, Edward & Wright, Jonathan H., 2008.
"Order flow and exchange rate dynamics in electronic brokerage system data,"
Journal of International Economics, Elsevier, vol. 75(1), pages 93-109, May.
- David W. Berger & Alain P. Chaboud & Sergey V. Chernenko & Edward Howorka & Jonathan H. Wright, 2006. "Order Flow and Exchange Rate Dynamics in Electronic Brokerage System Data," International Finance Discussion Papers 830, Board of Governors of the Federal Reserve System (U.S.).
- Anat R. Admati, Paul Pfleiderer, 1988. "A Theory of Intraday Patterns: Volume and Price Variability," The Review of Financial Studies, Society for Financial Studies, vol. 1(1), pages 3-40.
- BAUWENS, Luc & VEREDAS, David, 1999.
"The stochastic conditional duration model: a latent factor model for the analysis of financial durations,"
LIDAM Discussion Papers CORE
1999058, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- Luc Bauwens & David Veredas, 2004. "The stochastic conditional duration model: a latent factor model for the analysis of financial durations," ULB Institutional Repository 2013/136234, ULB -- Universite Libre de Bruxelles.
- Robert F. Engle & Jeffrey R. Russell, 1998. "Autoregressive Conditional Duration: A New Model for Irregularly Spaced Transaction Data," Econometrica, Econometric Society, vol. 66(5), pages 1127-1162, September.
- Roman Liesenfeld & Ingmar Nolte & Winfried Pohlmeier, 2008.
"Modelling financial transaction price movements: a dynamic integer count data model,"
Studies in Empirical Economics, in: Luc Bauwens & Winfried Pohlmeier & David Veredas (ed.), High Frequency Financial Econometrics, pages 167-197,
Springer.
- Roman Liesenfeld & Ingmar Nolte & Winfried Pohlmeier, 2006. "Modelling financial transaction price movements: a dynamic integer count data model," Empirical Economics, Springer, vol. 30(4), pages 795-825, January.
- Albert S. Kyle & Anna A. Obizhaeva, 2016. "Market Microstructure Invariance: Empirical Hypotheses," Econometrica, Econometric Society, vol. 84(4), pages 1345-1404, July.
- Amihud, Yakov, 2002. "Illiquidity and stock returns: cross-section and time-series effects," Journal of Financial Markets, Elsevier, vol. 5(1), pages 31-56, January.
- Easley, David & O'Hara, Maureen, 1987.
"Price, trade size, and information in securities markets,"
Journal of Financial Economics, Elsevier, vol. 19(1), pages 69-90, September.
- repec:dau:papers:123456789/5478 is not listed on IDEAS
- Zhang, Michael Yuanjie & Russell, Jeffrey R. & Tsay, Ruey S., 2001. "A nonlinear autoregressive conditional duration model with applications to financial transaction data," Journal of Econometrics, Elsevier, vol. 104(1), pages 179-207, August.
- Easley, David, et al, 1996. "Liquidity, Information, and Infrequently Traded Stocks," Journal of Finance, American Finance Association, vol. 51(4), pages 1405-1436, September.
- Kyle, Albert S, 1985. "Continuous Auctions and Insider Trading," Econometrica, Econometric Society, vol. 53(6), pages 1315-1335, November.
- Allen, David & Ng, K.H. & Peiris, Shelton, 2013. "The efficient modelling of high frequency transaction data: A new application of estimating functions in financial economics," Economics Letters, Elsevier, vol. 120(1), pages 117-122.
- Easley, David & O'Hara, Maureen, 1992. "Time and the Process of Security Price Adjustment," Journal of Finance, American Finance Association, vol. 47(2), pages 576-605, June. Full references (including those not matched with items on IDEAS)
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More about this item
Keywords
market microstructure; Manganelli model; Moscow Stock Exchange (MOEX); New York Stock Exchange (NYSE); National Association of Securities Dealers Automated Quotations System (NASDAQ);
All these keywords.JEL classification:
- G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
- C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
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