Search results for "econophysic"

showing 10 items of 51 documents

The Structure of Financial Networks

2010

We present here an overview of the use of networks in Finance and Economics. We show how this approach enables us to address important questions as, for example, the structure of control chains in financial systems, the systemic risk associated with them and the evolution of trade between nations. All these results are new in the field and allow for a better understanding and modelling of different economic systems.

FinanceStructure (mathematical logic)EconophysicsFinancial networksbusiness.industryGeography of financeHedge fundSettore FIS/02 - Fisica Teorica Modelli e Metodi MatematiciGravity model of tradeNetworks Finance EconophysicsSystemic riskEconomicsFinancial modelingbusinessIndustrial organization
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Market Impact and Trading Profile of Hidden Orders in Stock Markets

2009

We empirically study the market impact of trading orders. We are specifically interested in large trading orders that are executed incrementally, which we call hidden orders. These are statistically reconstructed based on information about market member codes using data from the Spanish Stock Market and the London Stock Exchange. We find that market impact is strongly concave, approximately increasing as the square root of order size. Furthermore, as a given order is executed, the impact grows in time according to a power law; after the order is finished, it reverts to a level of about 0.5-0.7 of its value at its peak. We observe that hidden orders are executed at a rate that more or less m…

Financial ManagementFluids & PlasmasFinancial markets econophysics hidden orderscomputer.software_genre01 natural sciencesRisk-TakingStock exchangeLondon0502 economics and business0103 physical sciencesEconometricsEconomicsHumansInvestmentsAlgorithmic trading010306 general physicsStock (geology)Models Statistical050208 financeEconophysics05 social sciencesFinancial marketReproducibility of ResultsFlash tradingSpain8. Economic growthStock marketMarket impactcomputerAlgorithms
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Patterns of trading profiles at the Nordic Stock Exchange. A correlation-based approach.

2016

We investigate the trading behavior of Finnish individual investors trading the stocks selected to compute the OMXH25 index in 2003 by tracking the individual daily investment decisions. We verify that the set of investors is a highly heterogeneous system under many aspects. We introduce a correlation based method that is able to detect a hierarchical structure of the trading profiles of heterogeneous individual investors. We verify that the detected hierarchical structure is highly overlapping with the cluster structure obtained with the approach of statistically validated networks when an appropriate threshold of the hierarchical trees is used. We also show that the combination of the cor…

Index (economics)Computer scienceGeneral MathematicsGeneral Physics and Astronomy01 natural sciences010305 fluids & plasmasFOS: Economics and businessSet (abstract data type)CorrelationIndividual investorsStock exchangeStatistically validated network0103 physical sciencesCluster (physics)Econometrics010306 general physicsStructure (mathematical logic)Quantitative Finance - Trading and Market Microstructureta114EconophysicsApplied Mathematicsta111EconophysicStatistical and Nonlinear PhysicsSettore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)Trading and Market Microstructure (q-fin.TR)Correlation-based networkInvestment decisionsGeneral Finance (q-fin.GN)Quantitative Finance - General FinanceChaos, Solitons & Fractals
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Econophysics: Scaling and its breakdown in finance

1997

We discuss recent empirical results obtained by analyzing high-frequency data of a stock market index, the Standard and Poor’s 500. We focus on the scaling properties and on its breakdown of the index dynamics. A simple stochastic model, the truncated Levy flight, is illustrated. Successes and limitations of this model are presented. A discussion about similarities and differences between the scaling properties observed in financial markets and in fully developed turbulence is also provided.

Index (economics)EconophysicsLévy flightStochastic modellingFinancial marketEconometricsStatistical and Nonlinear PhysicsRandom walkScalingMathematical economicsStock market indexMathematical PhysicsMathematicsJournal of Statistical Physics
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High-Frequency Data

2010

We introduce some of the most common types of high-frequency financial data: tick-by-tick data, trade and quote data, order book data, and market 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 varia…

Market structureEconometric modelStylized factActuarial scienceEconophysicsFinancial marketOrder bookEconomicsRelevance (information retrieval)Market microstructure
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Econophysics and the challenge of efficiency

2009

MultidisciplinaryGeneral Computer ScienceEconophysiccomplx systemstochastic processes
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The grass is always greener on the other side of the fence: the effect of misperceived signalling in a network formation process

2007

Social and economic networks are becoming increasingly popular in the last ten years, because of both the application of game theory to the network formation processes4, and the study of stochastic processes that fit the statistical properties of real world social networks.5 In the very recent years there have also been attempts to combine the contribution of these two streams of research, trying to find strategic models whose equilibria resemble the empirical data.6 A well known source of debate in the game theoretical approach is the incompatibility between stability and efficiency: in most of the models Nash equilibria are actually not the network architectures that maximize the overall …

Network architectureEngineeringEconophysicsProcess (engineering)business.industryStochastic processStability (learning theory)Network formationNETWORKSTransport engineeringsymbols.namesakeNash equilibriumsymbolsnetwork formation segregationbusinessMathematical economicsGame theory
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Role of noise in a market model with stochastic volatility

2006

We study a generalization of the Heston model, which consists of two coupled stochastic differential equations, one for the stock price and the other one for the volatility. We consider a cubic nonlinearity in the first equation and a correlation between the two Wiener processes, which model the two white noise sources. This model can be useful to describe the market dynamics characterized by different regimes corresponding to normal and extreme days. We analyze the effect of the noise on the statistical properties of the escape time with reference to the noise enhanced stability (NES) phenomenon, that is the noise induced enhancement of the lifetime of a metastable state. We observe NES ef…

Noise inducedProbability theory stochastic processes and statisticFOS: Physical sciencesEconomicFOS: Economics and businessStochastic differential equationStatistical physicsMarket modelCondensed Matter - Statistical MechanicsEconomics; econophysics financial markets business and management; Probability theory stochastic processes and statistics; Fluctuation phenomena random processes noise and Brownian motion; Complex SystemsMathematicsFluctuation phenomena random processes noise and Brownian motionStatistical Finance (q-fin.ST)Stochastic volatilityStatistical Mechanics (cond-mat.stat-mech)Cubic nonlinearityQuantitative Finance - Statistical FinanceComplex SystemsWhite noiseDisordered Systems and Neural Networks (cond-mat.dis-nn)Condensed Matter - Disordered Systems and Neural NetworksCondensed Matter PhysicsSettore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)Electronic Optical and Magnetic MaterialsHeston modelVolatility (finance)econophysics financial markets business and management
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When do improved covariance matrix estimators enhance portfolio optimization? An empirical comparative study of nine estimators

2011

The use of improved covariance matrix estimators as an alternative to the sample estimator is considered an important approach for enhancing portfolio optimization. Here we empirically compare the performance of 9 improved covariance estimation procedures by using daily returns of 90 highly capitalized US stocks for the period 1997-2007. We find that the usefulness of covariance matrix estimators strongly depends on the ratio between estimation period T and number of stocks N, on the presence or absence of short selling, and on the performance metric considered. When short selling is allowed, several estimation methods achieve a realized risk that is significantly smaller than the one obtai…

Physics - Physics and SocietyCovariance matrixPortfolio optimizationEconophysicsDiversification (finance)EstimatorFOS: Physical sciencesSample (statistics)Physics and Society (physics.soc-ph)FOS: Economics and businessEstimation of covariance matricesPortfolio Management (q-fin.PM)Risk Management (q-fin.RM)StatisticsPortfolioFraction (mathematics)Correlation structurePortfolio optimizationGeneral Economics Econometrics and FinanceFinanceStatistical methodQuantitative Finance - Portfolio ManagementMathematicsQuantitative Finance - Risk Management
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Diffusive behavior and the modeling of characteristic times in limit order executions

2007

We present an empirical study of the first passage time (FPT) of order book prices needed to observe a prescribed price change Delta, the time to fill (TTF) for executed limit orders and the time to cancel (TTC) for canceled ones in a double auction market. We find that the distribution of all three quantities decays asymptotically as a power law, but that of FPT has significantly fatter tails than that of TTF. Thus a simple first passage time model cannot account for the observed TTF of limit orders. We propose that the origin of this difference is the presence of cancellations. We outline a simple model, which assumes that prices are characterized by the empirically observed distribution …

Physics - Physics and SocietyFOS: Physical sciencesPhysics and Society (physics.soc-ph)Power lawFOS: Economics and businessOrder bookTime to fillLimit (mathematics)Statistical physicsMicrostructureMathematicsQuantitative Finance - Trading and Market MicrostructureEconophysicsLimit order marketEconophysicProbability and statisticsFirst passage timeTrading and Market Microstructure (q-fin.TR)Distribution (mathematics)Physics - Data Analysis Statistics and ProbabilityExponentCensored dataFirst-hitting-time modelGeneral Economics Econometrics and FinanceFinanceData Analysis Statistics and Probability (physics.data-an)
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