Search results for "market microstructure"

showing 10 items of 48 documents

How does the market react to your order flow?

2012

We present an empirical study of the intertwined behaviour of members in a financial market. Exploiting a database where the broker that initiates an order book event can be identified, we decompose the correlation and response functions into contributions coming from different market participants and study how their behaviour is interconnected. We find evidence that (1) brokers are very heterogeneous in liquidity provision -- some are consistently liquidity providers while others are consistently liquidity takers. (2) The behaviour of brokers is strongly conditioned on the actions of {\it other} brokers. In contrast brokers are only weakly influenced by the impact of their own previous ord…

Physics - Physics and SocietyQuantitative Finance - Trading and Market MicrostructureMarket microstructureLimit order marketFinancial marketFOS: Physical sciencesBehavioural financePhysics and Society (physics.soc-ph)Market microstructureMonetary economicsMarket dynamicsFinancial marketFinancial markets microstructure Econophysics stochasti processesTrading and Market Microstructure (q-fin.TR)Market liquidityFOS: Economics and businessCompetition (economics)Empirical researchOrder (exchange)Physics - Data Analysis Statistics and ProbabilityOrder bookBusinessGeneral Economics Econometrics and FinanceData Analysis Statistics and Probability (physics.data-an)FinanceQuantitative Finance
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A theory for long-memory in supply and demand

2004

Recent empirical studies have demonstrated long-memory in the signs of orders to buy or sell in financial markets [2, 19]. We show how this can be caused by delays in market clearing. Under the common practice of order splitting, large orders are broken up into pieces and executed incrementally. If the size of such large orders is power law distributed, this gives rise to power law decaying autocorrelations in the signs of executed orders. More specifically, we show that if the cumulative distribution of large orders of volume v is proportional to v to the power -alpha and the size of executed orders is constant, the autocorrelation of order signs as a function of the lag tau is asymptotica…

PhysicsPhysics - Physics and SocietyActuarial scienceQuantitative Finance - Trading and Market MicrostructureCumulative distribution functionAutocorrelationFOS: Physical sciencesOrder (ring theory)Physics and Society (physics.soc-ph)Function (mathematics)Trading and Market Microstructure (q-fin.TR)FOS: Economics and businessCombinatoricsCondensed Matter - Other Condensed MatterExecution Commerce optimal liquidationLong memoryDiffusion (business)Constant (mathematics)Other Condensed Matter (cond-mat.other)
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Stock markets and quantum dynamics: A second quantized description

2009

In this paper we continue our description of stock markets in terms of some non-abelian operators which are used to describe the portfolio of the various traders and other observable quantities. After a first prototype model with only two traders, we discuss a more realistic model of market involving an arbitrary number of traders. For both models we find approximated solutions for the time evolution of the portfolio of each trader. In particular, for the more realistic model, we use the stochastic limit approach and a fixed point like approximation. © 2007 Elsevier B.V. All rights reserved

Physics::Physics and SocietyStatistics and ProbabilitySecond quantizationComputer Science::Computer Science and Game TheoryQuantitative Finance - Trading and Market MicrostructureQuantum dynamicQuantum dynamicsTime evolutionObservableStock marketsFixed pointCondensed Matter PhysicsSecond quantizationTrading and Market Microstructure (q-fin.TR)FOS: Economics and businessComputer Science::Multiagent SystemsComputer Science::Computational Engineering Finance and SciencePortfolioStatistical physicsSettore MAT/07 - Fisica MatematicaMathematical economicsStock (geology)MathematicsPhysica A: Statistical Mechanics and its Applications
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Statistical identification with hidden Markov models of large order splitting strategies in an equity market

2010

Large trades in a financial market are usually split into smaller parts and traded incrementally over extended periods of time. We address these large trades as hidden orders. In order to identify and characterize hidden orders we fit hidden Markov models to the time series of the sign of the tick by tick inventory variation of market members of the Spanish Stock Exchange. Our methodology probabilistically detects trading sequences, which are characterized by a net majority of buy or sell transactions. We interpret these patches of sequential buying or selling transactions as proxies of the traded hidden orders. We find that the time, volume and number of transactions size distributions of …

Quantitative Finance - Trading and Market Microstructuremedia_common.quotation_subjectFinancial marketEquity (finance)General Physics and AstronomyMarket trendAsymmetryTrading and Market Microstructure (q-fin.TR)FOS: Economics and businessStock exchangeEconometricsEconophysics Financial markets Hidden Markov ModelsSegmentationHidden Markov modelmedia_commonMathematics
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Multiscale Model Selection for High-Frequency Financial Data of a Large Tick Stock by Means of the Jensen–Shannon Metric

2014

Modeling financial time series at different time scales is still an open challenge. The choice of a suitable indicator quantifying the distance between the model and the data is therefore of fundamental importance for selecting models. In this paper, we propose a multiscale model selection method based on the Jensen–Shannon distance in order to select the model that is able to better reproduce the distribution of price changes at different time scales. Specifically, we consider the problem of modeling the ultra high frequency dynamics of an asset with a large tick-to-price ratio. We study the price process at different time scales and compute the Jensen–Shannon distance between the original…

Return distributionFinancemodel selectionComputer sciencebusiness.industryEntropy High frequency data Financial markets Market microstructureModel selectionGeneral Physics and AstronomyRanginglcsh:Astrophysicsmultiscale analysimultiscale analysisJensen–Shannon divergencelcsh:QC1-999Markov-switching modelinglcsh:QB460-466EconometricsJensen–Shannon divergencelcsh:Qbusinesslcsh:ScienceStock (geology)high frequency financial datalcsh:PhysicsEntropy
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Integration of Mortgage and Capital Markets: Evidence in the Spanish Case

2006

The spectacular development of the Spanish mortgage market during the last decade has increased the concern about its financial integration with other capital markets. This paper examines the degree of integration between the mortgage market and two broader capital markets such as the public debt market and the money market in the Spanish case. With this purpose, different time series techniques in a context of cointegration have been used. The results obtained reveal that there exists an important degree of integration between the mortgage market and the general capital markets in Spain. In particular, the public debt market and, especially, the money market have turned into essential refe…

Secondary mortgage marketFactor marketMoney marketMarket depthOrder (exchange)Financial systemSecondary marketBusinessMarket microstructureShared appreciation mortgageSSRN Electronic Journal
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Identification of clusters of investors from their real trading activity in a financial market

2012

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.

Social and Information Networks (cs.SI)FOS: Computer and information sciencesPhysicsPhysics - Physics and SocietyQuantitative Finance - Trading and Market MicrostructureBipartite systemFinancial marketFOS: Physical sciencesGeneral Physics and AstronomyNetworkComputer Science - Social and Information NetworksPhysics and Society (physics.soc-ph)tradingComplex networkBipartite systemTrading and Market Microstructure (q-fin.TR)FOS: Economics and businessIdentification (information)big dataSynchronization (computer science)EconometricsNetworks Bipartite systems Financial MarketsFinancial MarketsStock (geology)clustering
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Modeling the coupled return-spread high frequency dynamics of large tick assets

2015

Large tick assets, i.e. assets where one tick movement is a significant fraction of the price and bid-ask spread is almost always equal to one tick, display a dynamics in which price changes and spread are strongly coupled. We introduce a Markov-switching modeling approach for price change, where the latent Markov process is the transition between spreads. We then use a finite Markov mixture of logit regressions on past squared returns to describe the dependence of the probability of price changes. The model can thus be seen as a Double Chain Markov Model. We show that the model describes the shape of return distribution at different time aggregations, volatility clustering, and the anomalo…

Statistics and ProbabilityComputer Science::Computer Science and Game TheoryVolatility clusteringQuantitative Finance - Trading and Market MicrostructureMarkov chainLogitMarkov processStatistical and Nonlinear PhysicsMarkov modelmodels of financial markets nonlinear dynamics stochastic processesTrading and Market Microstructure (q-fin.TR)FOS: Economics and businesssymbols.namesakesymbolsEconometricsKurtosisFraction (mathematics)Almost surelyStatistics Probability and Uncertainty60J20Mathematics
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Trading leads to scale-free self-organization

2009

Financial markets display scale-free behavior in many different aspects. The power-law behavior of part of the distribution of individual wealth has been recognized by Pareto as early as the nineteenth century. Heavy-tailed and scale-free behavior of the distribution of returns of different financial assets have been confirmed in a series of works. The existence of a Pareto-like distribution of the wealth of market participants has been connected with the scale-free distribution of trading volumes and price-returns. The origin of the Pareto-like wealth distribution, however, remained obscure. Here we show that it is the process of trading itself that under two mild assumptions spontaneously…

Statistics and ProbabilityFactor marketPhysics - Physics and SocietyQuantitative Finance - Trading and Market MicrostructureStatistical Finance (q-fin.ST)Market rateFinancial economicsFinancial marketQuantitative Finance - Statistical FinanceFOS: Physical sciencesPhysics and Society (physics.soc-ph)Market microstructureCondensed Matter Physicscomputer.software_genreDomestic marketTrading and Market Microstructure (q-fin.TR)FOS: Economics and businessOrder (exchange)EconomicsNational wealthAlgorithmic tradingcomputer
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Calibration of optimal execution of financial transactions in the presence of transient market impact

2012

Trading large volumes of a financial asset in order driven markets requires the use of algorithmic execution dividing the volume in many transactions in order to minimize costs due to market impact. A proper design of an optimal execution strategy strongly depends on a careful modeling of market impact, i.e. how the price reacts to trades. In this paper we consider a recently introduced market impact model (Bouchaud et al., 2004), which has the property of describing both the volume and the temporal dependence of price change due to trading. We show how this model can be used to describe price impact also in aggregated trade time or in real time. We then solve analytically and calibrate wit…

Statistics and ProbabilityMathematical optimizationQuantitative Finance - Trading and Market MicrostructureStatistical Finance (q-fin.ST)Financial market Econophysics stochastic processesFinancial assetComputer scienceVolume (computing)Efficient frontierQuantitative Finance - Statistical FinanceStatistical and Nonlinear PhysicsRisk neutralTrading and Market Microstructure (q-fin.TR)FOS: Economics and businessOrder (exchange)Financial transactionfinancial instruments and regulation models of financial markets risk measure and managementTransient (computer programming)Statistics Probability and UncertaintyMarket impact
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