Search results for " Financial markets"

showing 10 items of 24 documents

Identification of clusters of investors from their real trading activity in a financial market

2012

We use statistically validated networks, a recently introduced method to validate links in a bipartite system, to identify clusters of investors trading in a financial market. Specifically, we investigate a special database allowing to track the trading activity of individual investors of the stock Nokia. We find that many statistically detected clusters of investors show a very high degree of synchronization in the time when they decide to trade and in the trading action taken. We investigate the composition of these clusters and we find that several of them show an over-expression of specific categories of investors.

Social and Information Networks (cs.SI)FOS: Computer and information sciencesPhysicsPhysics - Physics and SocietyQuantitative Finance - Trading and Market MicrostructureBipartite systemFinancial marketFOS: Physical sciencesGeneral Physics and AstronomyNetworkComputer Science - Social and Information NetworksPhysics and Society (physics.soc-ph)tradingComplex networkBipartite systemTrading and Market Microstructure (q-fin.TR)FOS: Economics and businessIdentification (information)big dataSynchronization (computer science)EconometricsNetworks Bipartite systems Financial MarketsFinancial MarketsStock (geology)clustering
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Univariate and multivariate statistical aspects of equity volatility

2004

We discuss univariate and multivariate statistical properties of volatility time series of equities traded in a financial market. Specifically, (i) we introduce a two-region stochastic volatility model able to well describe the unconditional pdf of volatility in a wide range of values and (ii) we quantify the stability of the results of a correlation-based clustering procedure applied to synchronous time evolution of a set of volatility time series.

Stochastic volatilityFinancial models with long-tailed distributions and volatility clusteringVolatility smileUnivariateEconometricsForward volatilityEconomicsVolatility (finance)Implied volatilitySettore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)volatility financial markets econophysics log range correlated processes stochastic processesHeston model
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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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Modeling the coupled return-spread high frequency dynamics of large tick assets

2015

Large tick assets, i.e. assets where one tick movement is a significant fraction of the price and bid-ask spread is almost always equal to one tick, display a dynamics in which price changes and spread are strongly coupled. We introduce a Markov-switching modeling approach for price change, where the latent Markov process is the transition between spreads. We then use a finite Markov mixture of logit regressions on past squared returns to describe the dependence of the probability of price changes. The model can thus be seen as a Double Chain Markov Model. We show that the model describes the shape of return distribution at different time aggregations, volatility clustering, and the anomalo…

Statistics and ProbabilityComputer Science::Computer Science and Game TheoryVolatility clusteringQuantitative Finance - Trading and Market MicrostructureMarkov chainLogitMarkov processStatistical and Nonlinear PhysicsMarkov modelmodels of financial markets nonlinear dynamics stochastic processesTrading and Market Microstructure (q-fin.TR)FOS: Economics and businesssymbols.namesakesymbolsEconometricsKurtosisFraction (mathematics)Almost surelyStatistics Probability and Uncertainty60J20Mathematics
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Statistical identification with hidden Markov models of large order splitting strategies in an equity market

2010

Large trades in a financial market are usually split into smaller parts and traded incrementally over extended periods of time. We address these large trades as hidden orders. In order to identify and characterize hidden orders we fit hidden Markov models to the time series of the sign of the tick by tick inventory variation of market members of the Spanish Stock Exchange. Our methodology probabilistically detects trading sequences, which are characterized by a net majority of buy or sell transactions. We interpret these patches of sequential buying or selling transactions as proxies of the traded hidden orders. We find that the time, volume and number of transactions size distributions of …

Quantitative Finance - Trading and Market Microstructuremedia_common.quotation_subjectFinancial marketEquity (finance)General Physics and AstronomyMarket trendAsymmetryTrading and Market Microstructure (q-fin.TR)FOS: Economics and businessStock exchangeEconometricsEconophysics Financial markets Hidden Markov ModelsSegmentationHidden Markov modelmedia_commonMathematics
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Wine - investment: a profitable alternative investment or a simple long term pleasure?

2014

International audience; The purpose of this work is twofold: - to make a first historic analysis of performance through an investment in wine by comparing its performance with those that would have been possible to obtain at the same time by providing financial term investments; - to introduce the regional diversity of performance by considering the situation in the three selected geographic areas.

JEL: D - Microeconomics/D.D4 - Market Structure Pricing and Design/D.D4.D44 - AuctionsJEL: Q - Agricultural and Natural Resource Economics • Environmental and Ecological Economics/Q.Q1 - Agriculture/Q.Q1.Q11 - Aggregate Supply and Demand Analysis • PricesJEL : G - Financial Economics/G.G1 - General Financial Markets/G.G1.G11 - Portfolio Choice • Investment DecisionsJEL: G - Financial Economics/G.G1 - General Financial Markets/G.G1.G11 - Portfolio Choice • Investment Decisions[ SHS.ECO ] Humanities and Social Sciences/Economies and finances[SHS.ECO]Humanities and Social Sciences/Economics and Finance[SHS.ECO] Humanities and Social Sciences/Economics and FinanceJEL : Q - Agricultural and Natural Resource Economics • Environmental and Ecological Economics/Q.Q1 - Agriculture/Q.Q1.Q11 - Aggregate Supply and Demand Analysis • PricesJEL : D - Microeconomics/D.D4 - Market Structure Pricing and Design/D.D4.D44 - Auctions
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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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Can an unglamorous non-event affect prices? The role of newspapers

2016

AbstractOur paper offers evidence that the print media can affect stock prices by covering public information. After price-to-book value figures of Italian listed shares were first published on the major national financial newspaper, the prices of value stocks did, on average, show a positive reaction. The price reaction was limited to small caps stocks and disappeared within three weeks. Over the period of analysis, we could not find any abnormal behaviour of the returns of small and value stocks on other European markets. These findings support the view that newspapers play a role in disseminating information to small investors and grabbing their attention, even if news are continuously r…

Macroeconomicsevent studieEconomics and EconometricsMarket efficiencyPositive reactionSettore SECS-P/05 - EconometriainattentionMonetary economicsmedi and and financial marketNewspaperlcsh:Financelcsh:HG1-99990502 economics and businessddc:330EconomicsC58050207 economicsmedia and financial marketsStock (geology)Public informationMedia and financial market050208 financeG14Print medialcsh:Economic theory. Demographymarket efficiency05 social sciencesMarket efficiencyEvent studymarket efficiency; inattention; media and financial markets; event studies; wild boostraplcsh:HB1-3840Price reactionInattentionwild boostrapevent studiesFinanceCogent Economics & Finance
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Geometric Brownian Motion (GBM) of Stock Indexes and Financial Market Uncertainty in the Context of Non-Crisis and Financial Crisis Scenarios

2022

The present article proposes a methodology for modeling the evolution of stock market indexes for 2020 using geometric Brownian motion (GBM), but in which drift and diffusion are determined considering two states of economic conjunctures (states of the economy), i.e., non-crisis and financial crisis. Based on this approach, we have found that the GBM proved to be a suitable model for making forecasts of stock market index values, as it describes quite well their future evolution. However, the model proposed by us, modified geometric Brownian motion (mGBM), brings some contributions that better describe the future evolution of stock indexes. Evidence in this regard was provided by analyzing …

geometric Brownian motion; Monte Carlo simulation; entropy; financial crisis; financial marketsGeneral Mathematicsfinancial crisisComputer Science (miscellaneous)QA1-939geometric Brownian motionfinancial marketsentropyEngineering (miscellaneous)Monte Carlo simulationMathematicsMathematics
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Access to Finance: Baltic Financial Markets

2014

Abstract Access to finance is considered one of the main obstacles to successful financial market development. Access to finance was second-ranked most pressing problem faced by companies in the Euro Area and one of the main barriers to company's innovation capacity. The study results highlight the need to recognize that countries require sound and well-functioning financial markets. Only in this case financial markets can provide much needed sources of investments such as sound banking loans, properly regulated securities exchanges, venture capital, and other resources.

Financebusiness.industryBaltic financial marketsFinancial intermediaryGeography of financeGeneral EngineeringEnergy Engineering and Power TechnologyFinancial systemStock marketsLoansVenture capitalIndirect financeEconomicsAccess to financeStructured financeAccess to financebusinessFinancial market efficiencyCapital marketSocial studies of financeProcedia Economics and Finance
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