Search results for "Market microstructure"

showing 8 items of 48 documents

The adaptive nature of liquidity taking in limit order books

2014

In financial markets, the order flow, defined as the process assuming value one for buy market orders and minus one for sell market orders, displays a very slowly decaying autocorrelation function. Since orders impact prices, reconciling the persistence of the order flow with market efficiency is a subtle issue. A possible solution is provided by asymmetric liquidity, which states that the impact of a buy or sell order is inversely related to the probability of its occurrence. We empirically find that when the order flow predictability increases in one direction, the liquidity in the opposite side decreases, but the probability that a trade moves the price decreases significantly. While the…

Statistics and ProbabilityQuantitative Finance - Trading and Market MicrostructureStatistical Finance (q-fin.ST)Limit order book econophysics market efficiencyfinancial instruments and regulationAutocorrelationFinancial marketQuantitative Finance - Statistical FinanceStatistical and Nonlinear PhysicsProbability and statisticsTrading and Market Microstructure (q-fin.TR)Market liquidityFOS: Economics and businessFlow (mathematics)Order (exchange)risk measure and managementOrder bookEconomicsEconometricsmodels of financial marketStatistics Probability and UncertaintyPredictabilityStatistical and Nonlinear Physic
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Market efficiency and the long-memory of supply and demand: is price impact variable and permanent or fixed and temporary?

2016

In this comment we discuss the problem of reconciling the linear efficiency of price returns with the long-memory of supply and demand. We present new evidence that shows that efficiency is maintained by a liquidity imbalance that co-moves with the imbalance of buyer vs. seller initiated transactions. For example, during a period where there is an excess of buyer initiated transactions, there is also more liquidity for buy orders than sell orders, so that buy orders generate smaller and less frequent price responses than sell orders. At the moment a buy order is placed the transaction sign imbalance tends to dominate, generating a price impact. However, the liquidity imbalance rapidly incre…

SupplyPhysics - Physics and SocietyQuantitative Finance - Trading and Market MicrostructureSupply shockMarket demand scheduleMarket clearingCommerceFOS: Physical sciencesPhysics and Society (physics.soc-ph)Trading and Market Microstructure (q-fin.TR)Excess supplySupply and demandFOS: Economics and businessMicroeconomicsExecutionDemand curveEconomicsoptimal liquidationGeneral Economics Econometrics and FinanceFinanceAggregate demand
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Identification of Clusters of Investors from Their Real Trading Activity in a Financial Market

2011

We use statistically validated networks, a recently introduced method to validate links in a bipartite system, to identify clusters of investors trading in a financial market. Specifically, we investigate a special database allowing to track the trading activity of individual investors of the stock Nokia. We find that many statistically detected clusters of investors show a very high degree of synchronization in the time when they decide to trade and in the trading action taken. We investigate the composition of these clusters and we find that several of them show an over-expression of specific categories of investors.

Third marketBipartite systemFinancial marketEconometricsFinancial systemMarket microstructureBusinessSecondary marketAlgorithmic tradingcomputer.software_genrecomputerStock (geology)SSRN Electronic Journal
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What really causes large price changes?

2003

We study the cause of large fluctuations in prices in the London Stock Exchange. This is done at the microscopic level of individual events, where an event is the placement or cancellation of an order to buy or sell. We show that price fluctuations caused by individual market orders are essentially independent of the volume of orders. Instead, large price fluctuations are driven by liquidity fluctuations, variations in the market's ability to absorb new orders. Even for the most liquid stocks there can be substantial gaps in the order book, corresponding to a block of adjacent price levels containing no quotes. When such a gap exists next to the best price, a new order can remove the best q…

Volume-weighted average priceQuantitative Finance - Trading and Market MicrostructureFinancial economicsMid priceFOS: Physical sciencesTrading and Market Microstructure (q-fin.TR)Market liquidityFOS: Economics and businessCondensed Matter - Other Condensed MatterExecution Commerce optimal liquidationMarket depthOrder (exchange)EconomicsOrder bookEconometricsPrice levelGeneral Economics Econometrics and FinanceFinanceLimit priceOther Condensed Matter (cond-mat.other)Quantitative Finance
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Rôle de l'image dans l'acquisition des compétences par le recours au marché de contrôle d'entreprises

2008

International audience

[QFIN.TR] Quantitative Finance [q-fin]/Trading and Market Microstructure [q-fin.TR][ QFIN.TR ] Quantitative Finance [q-fin]/Trading and Market Microstructure [q-fin.TR]Business[QFIN.TR]Quantitative Finance [q-fin]/Trading and Market Microstructure [q-fin.TR]ComputingMilieux_MISCELLANEOUS
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L'acquisition des compétences par le recours au marché de contrôle d'entreprises : une source d'avantage concurrentiel

2007

[QFIN.TR] Quantitative Finance [q-fin]/Trading and Market Microstructure [q-fin.TR][ QFIN.TR ] Quantitative Finance [q-fin]/Trading and Market Microstructure [q-fin.TR][QFIN.TR]Quantitative Finance [q-fin]/Trading and Market Microstructure [q-fin.TR]
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Statistics of order flow

2010

market microstructureeconophysicsfinancial marketOrder flow market microstructure financial markets econophysicsOrder flow
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High frequency data entry: statistical findings at high frequency

2010

We introduce some of the most common types of high-frequency financial data: tick-by-tick data, trade andquote data, order bookdata, andmarket member data. We describe the types of variables that are usually available in the most popular high-frequency financial databases. We discuss the issues related to the handling of these data, including cleaning protocols, timing issues, and issues related to data size. We then briefly consider the issues related to the stylized facts detected in the empirical analysis of high- frequency data. Specifically, we consider (i) the irregular temporal spacing of the events at high frequency and its relevance for the econometric modeling of financial variables, (…

financial markets high-frequency data data analysis tick-by-tick data order bookdata market microstructure econophysicsSettore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)
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