Search results for "Trading"

showing 10 items of 119 documents

Spanish Stock Returns: Rational or Weather-Influenced?

2002

Psychological studies support the existence of an influence of weather on mood. It could affect the behaviour of market traders, as suggested by some authors, and this should be reflected by the stock returns. This paper investigates the possible relation between weather and market index returns in the context of the Spanish market, in order to test the above hypothesis. In 1989, this market changed its open outcry trading system into a computerised and decentralised trading system. Therefore, it is possible to check the influence of weather variables (sunshine hours and humidity levels) on index returns in an open outcry trading system, and to compare it with a screen traded environment. T…

Open outcryFinancial economicsSunshine durationEconomicsAlgorithmic tradingcomputer.software_genreCONTESTEmpirical evidencecomputerStock market indexStock (geology)SSRN Electronic Journal
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Resource or waste? A perspective of plastics degradation in soil with a focus on end-of-life options.

2018

‘Capable-of-being-shaped’ synthetic compounds are prevailing today over horn, bone, leather, wood, stone, metal, glass, or ceramic in products that were previously left to natural materials. Plastic is, in fact, economical, simple, adaptable, and waterproof. Also, it is durable and resilient to natural degradation (although microbial species capable of degrading plastics do exist). In becoming a waste, plastic accumulation adversely affects ecosystems. The majority of plastic debris pollutes waters, accumulating in oceans. And, the behaviour and the quantity of plastic, which has become waste, are rather well documented in the water, in fact. This review collects existing information on pla…

PLA polylactic acidPS polystyreneETS European Emissions Trading schemePOM polyoxymethyleneHMC heat melt compactor technology02 engineering and technology010501 environmental sciencesNHV net habitable volumeLDPE low-density polyethylene01 natural sciencesPC polycarbonateResin identification codeLCP liquid crystal polymerslcsh:Social sciences (General)PAC pro-oxidant additive containingPET polyethylene terephthalateEPR Extended Producers ResponsibilityMultidisciplinaryWaste managementNatural materials021001 nanoscience & nanotechnologyPU or PUR polyurethaneSettore AGR/02 - Agronomia E Coltivazioni ErbaceeEPS expandable polystyreneRIC resin identification codeSettore AGR/14 - PedologiaPVDF polydifluoroethylenelcsh:H1-990210 nano-technologyBiogeoscienceGPPS Polystyrene (General Purpose)PVC polyvinyl chlorideResource (biology)Polymethyl methacrylatePA polyamidePBT polybutylene terephthalatePSU polyarylsulfonePTFE polytetrafluoroethylenePMMA polymethyl methacrylatePHA polyhydroxyalkanoateMicrobiologyPEEK polyaryletheretherketoneArticleEnvironmental scienceEnvironmental science Biogeoscience Industry MicrobiologyPPA polyphthalamideTPE thermoplastic polyester elastomerNatural degradationIndustryPPS polyphenylene sulphidelcsh:Science (General)ABS acrylonitrile-butadiene-styrene0105 earth and related environmental sciencesbusiness.industryPP polypropyleneHDPE high-density polyethyleneBPA bisphenol AHBCD hexabromocyclododecaneFuture studyAgricultureDOM dissolved organic matterDegradation (geology)Environmental sciencebusinesslcsh:Q1-390Heliyon
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There's more to volatility than volume

2006

It is widely believed that fluctuations in transaction volume, as reflected in the number of transactions and to a lesser extent their size, are the main cause of clustered volatility. Under this view bursts of rapid or slow price diffusion reflect bursts of frequent or less frequent trading, which cause both clustered volatility and heavy tails in price returns. We investigate this hypothesis using tick by tick data from the New York and London Stock Exchanges and show that only a small fraction of volatility fluctuations are explained in this manner. Clustered volatility is still very strong even if price changes are recorded on intervals in which the total transaction volume or number of…

Physics - Physics and SocietyEconomicsvolatilityFOS: Physical sciencessubordinated processesPhysics and Society (physics.soc-ph)FOS: Economics and businessStock exchangeddc:330EconometricsEconomicsVolatility Modelling; Transaction Frequency; Trading Volume; Market StructurevolumeStatistical Finance (q-fin.ST)Financial marketVolume (computing)WirtschaftQuantitative Finance - Statistical FinancePolitical EconomyVolkswirtschaftslehrefinancial marketVolatility (finance)Constant (mathematics)General Economics Econometrics and FinanceDatabase transactionFinance
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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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Limit order placement as an utility maximization problem and the origin of power law distribution of limit order prices

2006

I consider the problem of the optimal limit order price of a financial asset in the framework of the maximization of the utility function of the investor. The analytical solution of the problem gives insight on the origin of the recently empirically observed power law distribution of limit order prices. In the framework of the model, the most likely proximate cause of this power law is a power law heterogeneity of traders' investment time horizons .

Physics - Physics and SocietyQuantitative Finance - Trading and Market MicrostructureFinancial assetFOS: Physical sciencesFunction (mathematics)MaximizationPhysics and Society (physics.soc-ph)Condensed Matter PhysicsInvestment (macroeconomics)Power lawElectronic Optical and Magnetic MaterialsTrading and Market Microstructure (q-fin.TR)FOS: Economics and businesssymbols.namesakeProximate and ultimate causationUtility maximization problemsymbolsEconometricsEconomicsPareto distributioneconophysics financial markets business and management
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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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Quantifying preferential trading in the e-MID interbank market

2015

Interbank markets allow credit institutions to exchange capital for purposes of liquidity management. These markets are among the most liquid markets in the financial system. However, liquidity of interbank markets dropped during the 2007-2008 financial crisis, and such a lack of liquidity influenced the entire economic system. In this paper, we analyze transaction data from the e-MID market which is the only electronic interbank market in the Euro Area and US, over a period of eleven years (1999-2009). We adapt a method developed to detect statistically validated links in a network, in order to reveal preferential trading in a directed network. Preferential trading between banks is detecte…

Preferential linkStatistically validated networksFinancial economicsMonetary economicscomputer.software_genreLiquidity riskHJSettore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)Market liquidityInterbank marketOrder (exchange)Financial crisisEconomicsDark liquidityInterbank rateInterbank lending marketHigh-frequency tradingAlgorithmic tradingGeneral Economics Econometrics and FinancecomputerFinanceQuantitative Finance
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(In)Efficiencies in Latin American ETFs

2017

Este estudio evalúa empíricamente la eficiencia en la valoración de varios ETFs latinoamericanos, expresada en desviaciones de sus precios de mercado frente a los valores liquidativos subyacentes. Se cuantifican tales ineficiencias y se implementa una estrategia de negociación verificada por regresiones basadas en el CAPM y el Modelo Fama-French. Los resultados discrepan con la Hipótesis de los Mercados Eficientes y son mejor explicados por aspectos de las finanzas comportamentales. Finalmente, se examina cómo las desviaciones influyen sobre la decisión de creación o redención de ETFs, mediante un análisis de regresión logística. Los resultados evidencian que los participantes autorizados r…

Primary marketLatin AmericansFinancial economicsEconomía financieraStrategy and ManagementBehavioral economicsCreation & redemptionPrice/ NAV ratioEfficient-market hypothesisExchange-traded fundsEconomicsCapital asset pricing modelTrading strategyInvestmentsBusiness and International ManagementExcess returnFondos cotizados en bolsaMercado de capitalesCoeficiente precio/Valor liquidativoIneficienciaCreación y redenciónInversionesBolsa de valoresNet asset valueInefficiencyGeneral Economics Econometrics and FinanceCuadernos de Administración
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