Search results for "Quantitative"

showing 10 items of 2409 documents

Tick size and price diffusion

2010

A tick size is the smallest increment of a security price. It is clear that at the shortest time scale on which individual orders are placed the tick size has a major role which affects where limit orders can be placed, the bid-ask spread, etc. This is the realm of market microstructure and there is a vast literature on the role of tick size on market microstructure. However, tick size can also affect price properties at longer time scales, and relatively less is known about the effect of tick size on the statistical properties of prices. The present paper is divided in two parts. In the first we review the effect of tick size change on the market microstructure and the diffusion properties…

FOS: Economics and businessStatistical Finance (q-fin.ST)Market microstructureEconophysicsFinancial markets Market microstructure Stochastic processes EconophysicsQuantitative Finance - Statistical FinanceFinancial marketStochastic processe
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On the origin of power law tails in price fluctuations

2003

In a recent Nature paper, Gabaix et al. \cite{Gabaix03} presented a theory to explain the power law tail of price fluctuations. The main points of their theory are that volume fluctuations, which have a power law tail with exponent roughly -1.5, are modulated by the average market impact function, which describes the response of prices to transactions. They argue that the average market impact function follows a square root law, which gives power law tails for prices with exponent roughly -3. We demonstrate that the long-memory nature of order flow invalidates their statistical analysis of market impact, and present a more careful analysis that properly takes this into account. This makes i…

FOS: Economics and businessStatistical Finance (q-fin.ST)Statistical Mechanics (cond-mat.stat-mech)Financial economicsMathematical financeEconomicsQuantitative Finance - Statistical FinanceFOS: Physical sciencesGeneral Economics Econometrics and FinancePower lawFinance Commerce correlation matrixFinanceCondensed Matter - Statistical Mechanics
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Using the Scaling Analysis to Characterize Financial Markets

2003

We empirically analyze the scaling properties of daily Foreign Exchange rates, Stock Market indices and Bond futures across different financial markets. We study the scaling behaviour of the time series by using a generalized Hurst exponent approach. We verify the robustness of this approach and we compare the results with the scaling properties in the frequency-domain. We find evidence of deviations from the pure Brownian motion behavior. We show that these deviations are associated with characteristics of the specific markets and they can be, therefore, used to distinguish the different degrees of development of the markets.

FOS: Economics and businessStatistical Finance (q-fin.ST)Statistical Mechanics (cond-mat.stat-mech)jel:G1Quantitative Finance - Statistical FinanceFOS: Physical sciencesCondensed Matter - Statistical Mechanicsscaling exponents time series analysis multi-fractals financial market
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Ensemble properties of securities traded in the NASDAQ market

2001

We study the price dynamics of stocks traded in the NASDAQ market by considering the statistical properties of an ensemble of stocks traded simultaneously. For each trading day of our database, we study the ensemble return distribution by extracting its first two central moments. According to previous results obtained for the NYSE market, we find that the second moment is a long-range correlated variable. We compare time-averaged and ensemble-averaged price returns and we show that the two averaging procedures lead to different statistical results.

FOS: Economics and businessStatistics and ProbabilityReturn distributionVariable (computer science)Statistical Finance (q-fin.ST)Statistical Mechanics (cond-mat.stat-mech)EconometricsQuantitative Finance - Statistical FinanceFOS: Physical sciencesSecond moment of areaCondensed Matter PhysicsCondensed Matter - Statistical MechanicsMathematicsPhysica A: Statistical Mechanics and its Applications
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Levels of complexity in financial markets

2001

We consider different levels of complexity which are observed in the empirical investigation of financial time series. We discuss recent empirical and theoretical work showing that statistical properties of financial time series are rather complex under several ways. Specifically, they are complex with respect to their (i) temporal and (ii) ensemble properties. Moreover, the ensemble return properties show a behavior which is specific to the nature of the trading day reflecting if it is a normal or an extreme trading day.

FOS: Economics and businessStatistics and ProbabilityStatistical Finance (q-fin.ST)Statistical Mechanics (cond-mat.stat-mech)Series (mathematics)Work (electrical)Financial marketEconometricsEconomicsFOS: Physical sciencesQuantitative Finance - Statistical FinanceCondensed Matter PhysicsCondensed Matter - Statistical MechanicsPhysica A: Statistical Mechanics and its Applications
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Effect of nanostructuration on the spin crossover transition in crystalline ultrathin films† †Electronic supplementary information (ESI) available: M…

2019

Film thickness and microstructure critically affect the spin crossover transition of a 2D coordination polymer.

FabricationMaterials scienceChemistry MultidisciplinarySpin transitionNanotechnology010402 general chemistry01 natural sciencesCondensed Matter::Materials ScienceTHIN-FILMSSpin crossoverMETAL-ORGANIC FRAMEWORKCondensed Matter::SuperconductivityNANOPARTICLESThin film[PHYS.COND]Physics [physics]/Condensed Matter [cond-mat]Nanoscopic scaleTEMPERATUREComputingMilieux_MISCELLANEOUSchemistry.chemical_classificationQuantitative Biology::BiomoleculesScience & Technology010405 organic chemistryGeneral ChemistryPolymerQuímicaMicrostructureTHERMAL HYSTERESIS0104 chemical sciencesCondensed Matter::Soft Condensed MatterChemistrySIZENanocrystalchemistryLAYERVACUUMPhysical SciencesPHASE-TRANSITIONSCondensed Matter::Strongly Correlated ElectronsCOORDINATION POLYMERSChemical Science
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Doit-on sélectionner ou former les élites scolaires ? Une comparaison internationale des politiques éducatives

2005

This article aims to provide a starting point for reflection about the conditions required for building up an academic elite in mandatory school systems, through international quantitative evaluation.The academic elite are defined, here, not in terms of the educational level they have reached, but through the skills levels attained: the proportion of students who have reached, in each country, the highest level of skill on the main section of the PISA 2000 test. After setting out the theoretical framework, it provides analysis showing that amongst the societal factors, once a certain level of economic development has been exceeded, the size of the academic elite population is much more a fu…

Facteur politiqueQuantitative evaluationSchool MixComparaison internationale[SHS.SOCIO] Humanities and Social Sciences/SociologyFacteur social[SHS.EDU] Humanities and Social Sciences/EducationPolitique éducativePISAFormationQualityÉvaluation quantitativeeducational policyAcademic eliteCompétence scolaireÉlèveTrainingQualitéÉlite
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How markets slowly digest changes in supply and demand

2008

In this article we revisit the classic problem of tatonnement in price formation from a microstructure point of view, reviewing a recent body of theoretical and empirical work explaining how fluctuations in supply and demand are slowly incorporated into prices. Because revealed market liquidity is extremely low, large orders to buy or sell can only be traded incrementally, over periods of time as long as months. As a result order flow is a highly persistent long-memory process. Maintaining compatibility with market efficiency has profound consequences on price formation, on the dynamics of liquidity, and on the nature of impact. We review a body of theory that makes detailed quantitative pr…

Factor marketPhysics - Physics and Society050208 financeMarket rateQuantitative Finance - Trading and Market MicrostructureStatistical Mechanics (cond-mat.stat-mech)Market clearing05 social sciencesFinancial marketFOS: Physical sciencesMarket microstructurePhysics and Society (physics.soc-ph)Supply and demandMarket liquidityTrading and Market Microstructure (q-fin.TR)MicroeconomicsFOS: Economics and businessFinancial Markets Econophysics Microstructure Stochastic processes0502 economics and businessEconomics050207 economicsMarket impactCondensed Matter - Statistical Mechanics
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Flexible ferromagnetic filaments and the interface with biology

2009

Flexible ferromagnetic filaments are studied both theoretically and experimentally. Two main deformation modes of the filament at magnetic field inversion are theoretically described and observed experimentally by using DNA-linked chains of ferromagnetic particles. Anomalous orientation of ferromagnetic filaments perpendicular to AC field with a frequency which is high enough is predicted and confirmed experimentally. By experimental studies of magnetotactic bacteria it is demonstrated how these properties of ferromagnetic filaments may be used to measure the flexibility of the chain of magnetosomes.

Ferromagnetic particleMagnetotactic bacteriaCondensed matter physicsMagnetosomeCondensed Matter PhysicsQuantitative Biology::Cell BehaviorElectronic Optical and Magnetic MaterialsMagnetic fieldQuantitative Biology::Subcellular ProcessesProtein filamentFerromagnetismPerpendicularCondensed Matter::Strongly Correlated ElectronsBrownian motionJournal of Magnetism and Magnetic Materials
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The multiplex structure of interbank networks

2013

The interbank market has a natural multiplex network representation. We employ a unique database of supervisory reports of Italian banks to the Banca d'Italia that includes all bilateral exposures broken down by maturity and by the secured and unsecured nature of the contract. We find that layers have different topological properties and persistence over time. The presence of a link in a layer is not a good predictor of the presence of the same link in other layers. Maximum entropy models reveal different unexpected substructures, such as network motifs, in different layers. Using the total interbank network or focusing on a specific layer as representative of the other layers provides a po…

Financial economicsComputer scienceNetwork theoryjel:C4901 natural sciencesjel:G21FOS: Economics and businessInterbank marketInterbank network0502 economics and business0103 physical sciencesSystemic riskSystemic riskEconometrics050207 economicsLayer (object-oriented design)010306 general physicsjel:E51Principle of maximum entropy05 social sciencesRepresentation (systemics)Maturity (finance)interbank market network theory systemic riskNetwork theoryInterbank lending marketGeneral Finance (q-fin.GN)Quantitative Finance - General FinanceGeneral Economics Econometrics and FinanceFinance
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