Search results for "Econometric"

showing 10 items of 3780 documents

Stochastic Nonlinear Time Series Forecasting Using Time-Delay Reservoir Computers: Performance and Universality

2014

International audience; Reservoir computing is a recently introduced machine learning paradigm that has already shown excellent performances in the processing of empirical data. We study a particular kind of reservoir computers called time-delay reservoirs that are constructed out of the sampling of the solution of a time-delay diFFerential equation and show their good performance in the forecasting of the conditional covariances associated to multivariate discrete-time nonlinear stochastic processes of VEC-GARCH type as well as in the prediction of factual daily market realized volatilities computed with intraday quotes, using as training input daily log-return series of moderate size. We …

Multivariate statisticsMathematical optimizationTime FactorsRealized varianceDifferential equationComputer scienceCognitive NeuroscienceMathematicsofComputing_NUMERICALANALYSIS02 engineering and technologyComputer Communication NetworksArtificial Intelligence0502 economics and business0202 electrical engineering electronic engineering information engineeringHumansTime seriesSimulation050205 econometrics Stochastic Processes[PHYS.PHYS.PHYS-OPTICS]Physics [physics]/Physics [physics]/Optics [physics.optics]Series (mathematics)Artificial neural networkComputersStochastic process05 social sciencesReservoir computingSampling (statistics)Universality (dynamical systems)Nonlinear systemNonlinear DynamicsData Interpretation Statistical020201 artificial intelligence & image processingNeural Networks ComputerForecastingSSRN Electronic Journal
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So Many Variables: Joint Modeling in Community Ecology

2015

Technological advances have enabled a new class of multivariate models for ecology, with the potential now to specify a statistical model for abundances jointly across many taxa, to simultaneously explore interactions across taxa and the response of abundance to environmental variables. Joint models can be used for several purposes of interest to ecologists, including estimating patterns of residual correlation across taxa, ordination, multivariate inference about environmental effects and environment-by-trait interactions, accounting for missing predictors, and improving predictions in situations where one can leverage knowledge of some species to predict others. We demonstrate this by exa…

Multivariate statisticsModels StatisticalCommunityEcologyLinear modelInferenceStatistical model15. Life on landBiologyBiotaLinear ModelsResidual correlationEconometricsLeverage (statistics)OrdinationEcosystemEcology Evolution Behavior and SystematicsTrends in Ecology & Evolution
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Option-Implied Volatility-Managed Asset Pricing Risk Factors and Resurrection of the Value Factor

2019

Option-implied volatility-managed risk factor models produce higher maximum squared Sharpe ratios than the recently proposed six-factor model, which is used as a benchmark model in this study. A model that incorporates option-implied volatility-managed risk factors based on dynamic scaling factors that systematically overestimate the expected market risk, as measured by the VIX, is superior to other asset pricing model specifications. After the death of the value factor has been repeatedly declared, it is surprising news that multivariate spanning regressions reveal that both the option-implied volatility-managed momentum and value factor are the only option-implied volatility-managed risk …

Multivariate statisticsMomentum (finance)Market riskSharpe ratioValue (economics)EconometricsEconomicsCapital asset pricing modelRisk factor (finance)Implied volatilityhealth care economics and organizationsSSRN Electronic Journal
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A discrete mathematical model for addictive buying: Predicting the affected population evolution

2011

This paper deals with the construction of a discrete mathematical model for addictive buying. Firstly, identifications of consumers buying behavior are performed by using multivariate statistical techniques based on real data bases and sociological approaches. Then the population is divided into appropriate groups according to the level of overbuying and a discrete compartmental model is constructed. The future short term addicted population is computed assuming several future economic scenarios. © 2010 Elsevier Ltd.

Multivariate statisticsMultivariate analysismedia_common.quotation_subjectPopulationMultivariant analysisAddictive buyingPopulation evolutionModelling and SimulationShort termEconometricsBuying behavioreducationmedia_commonDiscrete mathematical modeleducation.field_of_studyMathematical modelsMathematical modelAddictionModelingPopulation evolutionMultivariate statisticsCompartmental modelComputer Science ApplicationsTerm (time)Modeling and SimulationMultivariate statistical techniquesMultivariate statisticalMATEMATICA APLICADACompulsive buying
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Algorithms for the inference of causality in dynamic processes: Application to cardiovascular and cerebrovascular variability

2015

This study faces the problem of causal inference in multivariate dynamic processes, with specific regard to the detection of instantaneous and time-lagged directed interactions. We point out the limitations of the traditional Granger causality analysis, showing that it leads to false detection of causality when instantaneous and time-lagged effects coexist in the process structure. Then, we propose an improved algorithm for causal inference that combines the Granger framework with the approach proposed by Pearl for the study of causality among multiple random variables. This new approach is compared with the traditional one in theoretical and simulated examples of interacting processes, sho…

Multivariate statisticsProcess (engineering)Computer scienceBiomedical EngineeringInferenceHealth InformaticsMachine learningcomputer.software_genreHeart RateEconometricsHumansArterial PressureComputer Simulation1707Granger causality analysisSeries (mathematics)business.industryBrainHeartCausalityCausalityCerebrovascular CirculationCausal inferenceSignal ProcessingSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaArtificial intelligencebusinesscomputerRandom variableAlgorithms2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
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Extended causal modeling to assess Partial Directed Coherence in multiple time series with significant instantaneous interactions.

2010

The Partial Directed Coherence (PDC) and its generalized formulation (gPDC) are popular tools for investigating, in the frequency domain, the concept of Granger causality among multivariate (MV) time series. PDC and gPDC are formalized in terms of the coefficients of an MV autoregressive (MVAR) model which describes only the lagged effects among the time series and forsakes instantaneous effects. However, instantaneous effects are known to affect linear parametric modeling, and are likely to occur in experimental time series. In this study, we investigate the impact on the assessment of frequency domain causality of excluding instantaneous effects from the model underlying PDC evaluation. M…

Multivariate statisticsTime FactorsGeneral Computer ScienceModels NeurologicalPattern Recognition AutomatedCardiovascular Physiological PhenomenaElectrocardiographyGranger causalityArtificial IntelligenceEconometricsCoherence (signal processing)AnimalsHumansComputer SimulationEEGPartial Directed CoherenceMathematicsCausal modelMultivariate autoregressive modelComputer Science (all)Linear modelElectroencephalographySignal Processing Computer-AssistedCardiovascular variabilityAutoregressive modelFrequency domainParametric modelSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaGranger causalityMultivariate time serieLinear ModelsNeural Networks ComputerBiotechnologyBiological cybernetics
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A fuzzy-set analysis of conditions influencing mutual fund performance

2019

Abstract This paper presents an application of fuzzy-set qualitative comparative analysis (fsQCA) to frame the conditions that lead to over- or under-performance of mutual funds. Building upon a considerable library of research on fund returns, the study uses fsQCA to affirm and extend earlier discoveries. Considered here is fund performance relative to Morningstar ratings, features of the funds themselves, as well as characteristics of the fund managers. Results suggest that positive Morningstar and analyst ratings are necessary conditions, on average, for funds to generate value according to the Jensen's alpha ratio. Just over seven percent of the cases imply that funds have attractive Sh…

Mutual fund performanceEconomics and EconometricsManagement fee050208 financeActuarial sciencebusiness.industryQualitative comparative analysisSharpe ratio05 social sciencesInvestment managementFuzzy set analysisLong period0502 economics and businessValue (economics)Businesshealth care economics and organizations050203 business & managementFinanceInternational Review of Economics & Finance
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Influences on mutual fund performance: comparing US and Europe using qualitative comparative analysis

2019

This study examines the conditions that lead mutual funds to underperform or outperform competitors. Using fuzzy-set qualitative comparative analysis (fsQCA), we draw upon extensive research on fund returns to affirm and extend earlier discoveries. Fund performance (Morningstar ratings), features of the funds themselves, and characteristics of the fund managers are considered. Positive Morningstar star and analyst ratings are necessary conditions for funds to generate value (measured by Jensen’s alpha). Funds with low management fees and low ongoing fees have attractive Sharpe ratios and high returns. Likewise, large funds with good Morningstar ratings have good Sharpe ratios and returns, o…

Mutual fund performancemorningstar ratingsEconomics and EconometricsfsQCA; fund features; fund manager characteristics; Morningstar ratings; mutual fund performanceQualitative comparative analysisCompetitor analysislcsh:Regional economics. Space in economicslcsh:HD72-88lcsh:HT388mutual fund performancelcsh:Economic growth development planningMicroeconomicsfund manager characteristicsfsqcaBusinessfund featuresEkonomska Istraživanja
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Modelos de crecimiento economico endogeno e historia economica: ¿Una nueva perspectiva ante el debate protección-librecambio?

1992

La evidencia cuantitativa aportada en los últimos años en diferentes investigaciones ha permitido una interpretación sobre la trayectoria económica española para el período 1874–1936, en la cual se combina la constatación de tasas apreciables de crecimiento con el mantenimiento de un grado elevado de atraso. Y como señaló Lluch (1988), si el ámbito temporal se amplía hasta la actualidad, cualquier interpretación debería incluir la tardía recuperación de este último como un hecho clave a considerar.No resulta, por tanto, sorprendente que las razones de la persistencia durante un largo período histórico de esta distancia entre los logros de la economía española y los conseguidos por los denom…

N10Economics and EconometricsHistoryN01P50HistoriaEconomíaRevista de Historia Económica / Journal of Iberian and Latin American Economic History
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Tierras inundadas: El cultivo del arroz en la España contemporánea (1800-1936)

2002

Editada en la Fundación Empresa Pública El arroz fue una de las diversas dedicaciones agrícolas que permitieron mejorar los rendimientos en las condiciones particulares del mundo mediterráneo. Su implantación, sin embargo, exigió profundas transformaciones en el aprovechamiento del agua y comportó, a causa de las implicaciones sanitarias del cultivo, la intervención estatal. Su inserción en las estructuras agrarias existentes no fue, por tanto, fácil pero posibilitó el uso agrario de áreas de difícil aprovechamiento como la Albufera valenciana, el delta del Ebro y las Marismas del Guadalquivir. Desde la segunda mitad del siglo XIX, además, esta producción tuvo que adaptarse a la competencia…

N54Economics and EconometricsHistorybusiness.industryN53UNESCO::CIENCIAS ECONÓMICAS:CIENCIAS ECONÓMICAS [UNESCO]Valencianlanguage.human_languageHistoriaEconomíaCropAgrarian societyAgricultural scienceUNESCO::HISTORIA::Historia por especialidades::Historia de la economíaGeographyAgricultureCultivo de arrozsiglo XIX:HISTORIA::Historia por especialidades::Historia de la economía [UNESCO]Asian countrylanguageValenciaCultivo de arroz ; Valencia ; siglo XIXbusiness
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