Search results for "trading"

showing 10 items of 119 documents

HFT-järjestelmien tehokkuuden parantaminen

2016

Teknologian kehittyminen on avannut uusia liiketoimintamahdollisuuksia myös finanssialalle. Automatisoitu arvopaperikaupankäynti on vakiinnuttanut asemansa arvopaperimarkkinoilla ja yritykset etsivät yhä parempia tapoja saavuttaa kaupankäyntietuja muihin kaupankävijöihin nähden. Automatisoidussa arvopaperikaupankäynnissä nopeuden on nähty olevan kaupankäynnissä eduksi, jolloin markkinamuutoksiin voidaan reagoida ennen muita kaupankävijöitä. Alan yritykset ovatkin ryhtyneet niin sanottuun nopeuskilpailuun ja pyrkivät tehostamaan kaupankäyntijärjestelmiään. Nopeasta automatisoidusta arvopaperikaupankäynnistä voidaan käyttää lyhennettä HFT (High Frequency Trading). Tämän kirjallisuuskatsauksee…

efficiencyalgorithmic tradinghigh frequency tradingperformance
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Trend Following with Momentum Versus Moving Average: A Tale of Differences

2018

Despite the ever-growing interest in trend following and a series of publications in academic journals, there is still a great shortage of theoretical results on the properties of trend following rules. Our paper fills this gap by comparing and contrasting the two most popular trend following rules, the Momentum (MOM) and Moving Average (MA) rules, from a theoretical perspective. Our approach is based on the return-based formulation of trading rules and modelling the price trends by an autoregressive return process. We provide theoretical results on the similarity between various trend following rules and the forecast accuracy of trading rules. Our results show that the similarity between t…

Trend followingMomentum (finance)Trading rulesSimilarity (network science)Autoregressive modelMoving averageTechnical analysisEconometricsEconomic shortageMathematicsSSRN Electronic Journal
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Market efficiency and the long-memory of supply and demand: is price impact variable and permanent or fixed and temporary?

2016

In this comment we discuss the problem of reconciling the linear efficiency of price returns with the long-memory of supply and demand. We present new evidence that shows that efficiency is maintained by a liquidity imbalance that co-moves with the imbalance of buyer vs. seller initiated transactions. For example, during a period where there is an excess of buyer initiated transactions, there is also more liquidity for buy orders than sell orders, so that buy orders generate smaller and less frequent price responses than sell orders. At the moment a buy order is placed the transaction sign imbalance tends to dominate, generating a price impact. However, the liquidity imbalance rapidly incre…

SupplyPhysics - Physics and SocietyQuantitative Finance - Trading and Market MicrostructureSupply shockMarket demand scheduleMarket clearingCommerceFOS: Physical sciencesPhysics and Society (physics.soc-ph)Trading and Market Microstructure (q-fin.TR)Excess supplySupply and demandFOS: Economics and businessMicroeconomicsExecutionDemand curveEconomicsoptimal liquidationGeneral Economics Econometrics and FinanceFinanceAggregate demand
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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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Information processing in the stock market around anticipated accounting information: earnings release

2012

Earnings announcements are anticipated events with significant price impacts. This fact can motivate informed traders to trade on private information and liquidity providers to reduce liquidity in order to be careful about insider trading. In this paper, we examine the effect of earnings announcements on information asymmetry. Specifically, we investigate whether liquidity suppliers value the possibility of trading with informed agents and whether market behaviour reflects this. To achieve this objective, we take into account the sign of the surprise, the quarter of the announcement, the quantity of previous information and the quality of the information released. One of the main results of…

Information asymmetryBid–ask spreadEarningsOrder (exchange)Financial economicsEconomics Econometrics and Finance (miscellaneous)EconomicsLiquidity crisisInsider tradingStock marketMarket liquidityThe European Journal of Finance
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Regulation as determinant of EUA prices

2014

In this paper we analyse the impact of supply and demand factors on EUA Phase II future prices, with a particular emphasis on the European Commission announcements regarding the organisation of Phase II and Phase III of the European Union Emission Trading Scheme. Using two different methodologies we find strong significance of EC announcements in particular regarding the National Allocation Plans and the cap for Phase III. Our results are particularly relevant to the light of the decisions that the EC must take to achieve the 20-20-20 objectives.

Economics and EconometricsGeneral EnergyEnvironmental EngineeringEconomyEconomicsEuropean commissionEuropean Union Emission Trading SchemeInternational economicsPhase (combat)Supply and demand
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An Assessment of Carousel Value-Added Tax Fraud in The European Carbon Market

2017

AbstractThe literature on the European Union Emission Trading System (EU ETS) is by now very rich. Much is known about the efficiency, the effectiveness, and the environmental and distributional impacts of the EU ETS. Less, however, is known about the carousel value-added-tax (VAT) fraud phenomena in the European carbon market. This article evaluates the welfare effects of carousel VAT fraud in the EU ETS using a computable general equilibrium (CGE) analysis. According to our findings, if VAT fraud occurs in the EU ETS, the effects on welfare for the EU Member States are negative, with welfare loss significantly higher than the VAT fraud value. This article also discusses the reverse charge…

Computable general equilibriumEconomic policy020209 energymedia_common.quotation_subject05 social sciences02 engineering and technologyInternational economicscomputable general equilibrium modeling emission trading reverse charge value-added tax fraud welfareValue-added taxSettore SECS-P/03 - Scienza Delle FinanzeCarbon market0502 economics and businessValue (economics)0202 electrical engineering electronic engineering information engineeringEconomicsDeadweight lossmedia_common.cataloged_instanceSettore IUS/12 - Diritto TributarioEmissions trading050207 economicsEuropean unionLawGeneral Economics Econometrics and FinanceWelfaremedia_common
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Impact of Wind Electricity Forecasts on Bidding Strategies

2017

The change in the generation mix from conventional electricity sources to renewables has important implications for bidding behaviour and may have an impact on prices. The main goal of this work is to discover the role played by expected wind production, together with other relevant factors, in explaining the day-ahead market price through a data panel model. The Spanish market, given the huge increase in wind generation observed in the last decade, has been chosen for this study as a paradigmatic example. The results obtained suggest that wind power forecasts are a new key determinant for supply market participants when bidding in the day-ahead market. We also provide a conservative quanti…

day-ahead electricity market020209 energyRisk premiumGeography Planning and DevelopmentTJ807-83002 engineering and technologyManagement Monitoring Policy and LawTD194-195:CIENCIAS ECONÓMICAS [UNESCO]Renewable energy sourcesSupply marketMicroeconomics0202 electrical engineering electronic engineering information engineeringEconomicsMarket pricestrategic biddingGE1-350Trading strategyWind powerEnvironmental effects of industries and plantsRenewable Energy Sustainability and the Environmentbusiness.industryday-ahead electricity market; renewables; strategic biddingUNESCO::CIENCIAS ECONÓMICASrenewablesBiddingRenewable energyEnvironmental sciencesElectricitybusinessSustainability; Volume 9; Issue 8; Pages: 1318
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What You Should Know About Carbon Markets

2008

Since the entry into force of the Kyoto Protocol, carbon trading has been in continuous expansion. In this paper, we review the origins of carbon trading in order to understand how carbon trading works in Europe and, specifically, the functioning of the European Union Emission Trading Scheme (EU ETS) and the workings of several spot, futures and options markets where European Union Allowances are traded. As well, the linking of the EU ETS with the other United Nations carbon markets is also studied.

Carbon MarketsControl and OptimizationEnergy Engineering and Power TechnologyEuropean Union Emission Trading Schemelcsh:Technologyjel:Q40Clean Development MechanismEmission TradingOrder (exchange)jel:Qjel:Q43jel:Q42jel:Q41jel:Q48media_common.cataloged_instancejel:Q47Electrical and Electronic EngineeringCarbon creditEuropean unionEuropean Union AllowancesEngineering (miscellaneous)jel:Q49media_commonlcsh:TRenewable Energy Sustainability and the Environmentjel:Q0International economicsjel:Q4Emission Trading; European Union Allowances; Carbon MarketsKyoto ProtocolBusinessEmissions tradingFutures contractEnergy (miscellaneous)Energies
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Notations et écarts de rentabilité : le marché français avant l'euro

2003

The main task of this paper is to confront two classical measures of default risk of the issuer, the rating and the spread. The first is attributed by agencies specialized in this activity (Standard and Poor's or Moody's) while the second results directly from the market price of the bond. This article studies this link over a period of two years for about forty French denominated bonds. Two measures of the spread are used and the results obtained show the very partial consideration of this information by the investors on the French bond market.

default riskbondsJEL: G - Financial Economics/G.G2 - Financial Institutions and Services/G.G2.G24 - Investment Banking • Venture Capital • Brokerage • Ratings and Ratings AgenciesJEL: G - Financial Economics/G.G1 - General Financial Markets/G.G1.G10 - Generalspreadratingjel:G10notationJEL : G - Financial Economics/G.G1 - General Financial Markets/G.G1.G10 - Generalobligations;spread de taux;notation;risque de défautbonds; spread;rating;default risk.risque de défaut.[SHS.GESTION]Humanities and Social Sciences/Business administrationspread de tauxJEL : G - Financial Economics/G.G1 - General Financial Markets/G.G1.G12 - Asset Pricing • Trading Volume • Bond Interest Rates[SHS.GESTION] Humanities and Social Sciences/Business administration[ SHS.GESTION ] Humanities and Social Sciences/Business administrationJEL : G - Financial Economics/G.G2 - Financial Institutions and Services/G.G2.G24 - Investment Banking • Venture Capital • Brokerage • Ratings and Ratings AgenciesJEL: G - Financial Economics/G.G1 - General Financial Markets/G.G1.G12 - Asset Pricing • Trading Volume • Bond Interest Ratesobligations
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