Search results for "Market microstructure"

showing 10 items of 48 documents

Initial Enlargement in a Markov chain market model

2011

Enlargement of filtrations is a classical topic in the general theory of stochastic processes. This theory has been applied to stochastic finance in order to analyze models with insider information. In this paper we study initial enlargement in a Markov chain market model, introduced by Norberg. In the enlarged filtration, several things can happen: some of the jumps times can be accessible or predictable, but in the original filtration all the jumps times are totally inaccessible. But even if the jumps times change to accessible or predictable, the insider does not necessarily have arbitrage possibilities.

Actuarial scienceQuantitative Finance - Trading and Market MicrostructureMarkov chainStochastic process010102 general mathematicsProbability (math.PR)01 natural sciencesInsiderTrading and Market Microstructure (q-fin.TR)FOS: Economics and business010104 statistics & probabilityOrder (exchange)Modeling and SimulationFiltration (mathematics)FOS: MathematicsResizingArbitrage0101 mathematicsMarket modelMathematical economicsMathematics - ProbabilityMathematics
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EUA and sCER Phase II Price Drivers: Unveiling the reasons for the existence of the EUA-sCER spread

2011

International audience; This article studies the price relationships between EU emissions allowances (EUAs) - valid under the EU Emissions Trading Scheme (EU ETS) - and secondary Certified Emissions Reductions (sCERs)--established from primary CERs generated through the Kyoto Protocol's Clean Development Mechanism (CDM). Given the price differences between EUAs and sCERs, financial and industrial operators may benefit from arbitrage strategies by buying sCERs and selling EUAs (i.e. selling the EUA-sCER spread) to cover their compliance position as industrial operators are allowed to use sCERs towards compliance with their emissions cap within the European system up to 13.4%. Our central res…

ArbitrageFinancial economics020209 energy02 engineering and technologyManagement Monitoring Policy and Law7. Clean energyClean Development MechanismEUA-sCER spreadEmissions markets0502 economics and business0202 electrical engineering electronic engineering information engineeringEconomics050207 economicsComputingMilieux_MISCELLANEOUS[SDV.EE]Life Sciences [q-bio]/Ecology environment05 social sciencesInternational economicsMarket microstructure[SHS.ECO]Humanities and Social Sciences/Economics and FinanceGeneral Energy13. Climate actionPosition (finance)[SHS.GESTION]Humanities and Social Sciences/Business administrationKyoto ProtocolArbitrageEmissions trading
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A Simulation Analysis of the Microstructure of an Order Driven Financial Market with Multiple Securities and Portfolio Choices

2005

In this paper we propose an artificial market where multiple risky assets are exchanged. Agents are constrained by the availability of resources and trade to adjust their portfolio according to an exogenously given target portfolio. We model the trading mechanism as a continuous auction order-driven market. Agents are heterogeneous in terms of desired target portfolio allocations, but they are homogeneous in terms of trading strategies. We investigate the role played by the trading mechanism in affecting the dynamics of prices, trading volume and volatility. We show that the institutional setting of a double auction market is sufficient to generate a non-normal distribution of price changes…

Capital market lineMarket microstructurecomputer.software_genreMicroeconomicsPortfolio insuranceReplicating portfolioEconomicsPortfolioTrading strategyartificial market heterogeneous agents trading mechanism double auction marketAlgorithmic tradingPortfolio optimizationGeneral Economics Econometrics and FinancecomputerFinance
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Contagion in Bitcoin Networks

2019

12 pages, 6 figures. Paper accepted in 2nd Workshop on Blockchain and Smart Contract Technologies (BSCT 2019), workshop satellite of 22nd International Conference on Business Information Systems (BIS 2019); International audience; We construct the Google matrices of bitcoin transactions for all year quarters during the period of January 11, 2009 till April 10, 2013. During the last quarters the network size contains about 6 million users (nodes) with about 150 million transactions. From PageRank and CheiRank probabilities, analogous to trade import and export, we determine the dimensionless trade balance of each user and model the contagion propagation on the network assuming that a user go…

CheiRankGoogle matrixMarkov chain[QFIN]Quantitative Finance [q-fin]Financial networksComputer science[PHYS.PHYS.PHYS-SOC-PH]Physics [physics]/Physics [physics]/Physics and Society [physics.soc-ph]Balance of trade01 natural sciences010305 fluids & plasmaslaw.inventionPageRankBankruptcylaw0103 physical sciencesHouse of cardsEconometrics010306 general physics[QFIN.TR]Quantitative Finance [q-fin]/Trading and Market Microstructure [q-fin.TR]ComputingMilieux_MISCELLANEOUS
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Modeling the Probability of Informed Trading in the European Carbon Market

2012

We provide evidence of informed trading in the European carbon market. We adapt Easley et al.’s (1996) PIN methodology to the particularities of this market by isolating the trading activity on the two carbon offsets: European Union Allowances (EUAs) and Certified Emission Reductions (CERs). We find that the PIN regularly increases before the publication of the yearly verified-emission reports. CERs exhibit lower average PIN than EUAs. While the PIN of CERs has increased over time, together with its share in total trading activity, EUAs’ PIN has remained pretty stable. Our findings suggest that CERs must not be avoided in any decision or analysis made by researchers, regulators or traders i…

CommerceCarbon marketCarbon offsetmedia_common.cataloged_instanceBusinessInternational economicsCertificationMarket microstructureEuropean unionmedia_commonSSRN Electronic Journal
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Market efficiency and price discovery relationships between spot, futures and forward prices: the case of the Iberian Electricity Market (MIBEL)

2016

ABSTRACTThis paper analyses the relationships between prices from three different markets within the Spanish zone of the Iberian Electricity Market (MIBEL), namely futures, spot and over the counter (OTC) forward markets. The study focuses on three items: (i) contrasting the Weak-form efficiency hypothesis of the markets involved in the study, (ii) analysing the Semi-strong-form efficient market hypothesis (EMH) of the MIBEL futures market and (iii) examining the price discovery relationships between the series of prices of the considered markets.The empirical results confirm that 1-month-, 1-quarter-, 1-year-ahead futures and spot markets satisfy, generally, the Weak-form efficiency hypoth…

Economics and Econometrics050208 financeFinancial economicsNormal backwardation05 social sciencesSpot marketMarket microstructurePrice discoveryEfficient-market hypothesisAccounting0502 economics and businessEconomicsElectricity marketForward market050207 economicsFutures contractFinanceSpanish Journal of Finance and Accounting / Revista Española de Financiación y Contabilidad
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The timeline of trading frictions in the European carbon market

2012

We evaluate the quality of prices of EU-ETS, the most active European derivative market for greenhouse gas emissions allowances (EUAs). So far, this market has had two phases, a trial phase (from 2005 to 2007) and a commitment phase (from 2008 to 2012). The true value of a trial-phase EUA at the beginning of 2008 was inevitably zero because it could not be used in the commitment phase to cover emission targets. However, continued rumors of over-allocation of EUAs led to an early collapse of the market by May 2007. We study whether this market breakdown and the subsequent outbreak of the international financial crisis had a persistent effect on the quality of the commitment phase. We provide…

Economics and EconometricsAdverse selectionTimelineMarket microstructureMonetary economicsEuropean Union Emission Trading SchemeTrial Phasecomputer.software_genreMarket makerMarket liquidityMicroeconomicsGeneral EnergyGreenhouse gasFinancial crisisDerivatives marketEconomicsPrice returnEmissions tradingVolatility (finance)Algorithmic tradingcomputerEnergy Economics
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Why is equity order flow so persistent?

2015

Abstract Order flow in equity markets is remarkably persistent in the sense that order signs (to buy or sell) are positively autocorrelated out to time lags of tens of thousands of orders, corresponding to many days. Two possible explanations are herding, corresponding to positive correlation in the behavior of different investors, or order splitting, corresponding to positive autocorrelation in the behavior of single investors. We investigate this using order flow data from the London Stock Exchange for which we have membership identifiers. By formulating models for herding and order splitting, as well as models for brokerage choice, we are able to overcome the distortion introduced by bro…

Economics and EconometricsControl and OptimizationMarket microstructureApplied MathematicsPrice impactAutocorrelationEquity (finance)Market microstructureHerdingBehavioral economicsPositive correlationOrder flowMicroeconomicsOrder splittingStock exchangeBehavioral financeEconomicsEconometricsHerding
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Market reaction to temporary liquidity crises and the permanent market impact

2006

We study the relaxation dynamics of the bid-ask spread and of the midprice after a sudden, large variation of the spread, corresponding to a temporary crisis of liquidity in a double auction financial market. We find that the spread decays very slowly to its normal value as a consequence of the strategic limit order placement of liquidity providers. We consider several quantities, such as order placement rates and distribution, that affect the decay of the spread. We measure the permanent impact both of a generic event altering the spread and of a single transaction and we find an approximately linear relation between immediate and permanent impact in both cases.

FOS: Economics and businessPhysics - Physics and SocietyQuantitative Finance - Trading and Market MicrostructureFOS: Physical sciencesPhysics and Society (physics.soc-ph)Trading and Market Microstructure (q-fin.TR)
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The limit order book on different time scales

2007

Financial markets can be described on several time scales. We use data from the limit order book of the London Stock Exchange (LSE) to compare how the fluctuation dominated microstructure crosses over to a more systematic global behavior.

FOS: Economics and businessPhysics - Physics and SocietyQuantitative Finance - Trading and Market MicrostructureStock exchangePhysics - Data Analysis Statistics and ProbabilityFinancial marketEconomicsEconometricsFOS: Physical sciencesPhysics and Society (physics.soc-ph)Data Analysis Statistics and Probability (physics.data-an)Trading and Market Microstructure (q-fin.TR)
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