Search results for " volatility."

showing 10 items of 107 documents

Another Look at Value and Momentum: Volatility Spillovers

2017

This paper examines volatility interdependencies between value and momentum returns. Using U.S. data over the period 1926-2015, we document persistent periods of low and high volatility spillovers between value and momentum strategies. Moreover, we find that the intensity of the volatility spillovers may change substantially in very short periods of time and that these shifts in spillover intensity can be linked to prominent economic events and financial market turmoil. Our results further demonstrate that value returns increase and momentum returns decrease monotonically with increasing volatility spillovers between the two strategies. Given this linkage between spillover intensity and ret…

Spillover effectFinancial economicsVolatility swapForward volatilityVolatility smileEconometricsEconomicsTrading strategyImplied volatilityVolatility (finance)Volatility risk premiumSSRN Electronic Journal
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An Operator Splitting Method for Pricing American Options

2008

Pricing American options using partial (integro-)differential equation based methods leads to linear complementarity problems (LCPs). The numerical solution of these problems resulting from the Black-Scholes model, Kou’s jump-diffusion model, and Heston’s stochastic volatility model are considered. The finite difference discretization is described. The solutions of the discrete LCPs are approximated using an operator splitting method which separates the linear problem and the early exercise constraint to two fractional steps. The numerical experiments demonstrate that the prices of options can be computed in a few milliseconds on a PC.

Constraint (information theory)Operator splittingPhysicsActuarial scienceStochastic volatilityDifferential equationComplementarity (molecular biology)Linear problemApplied mathematicsStrike priceLinear complementarity problem
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The stabilizing effect of volatility in financial markets

2017

In financial markets, greater volatility is usually considered synonym of greater risk and instability. However, large market downturns and upturns are often preceded by long periods where price returns exhibit only small fluctuations. To investigate this surprising feature, here we propose using the mean first hitting time, i.e. the average time a stock return takes to undergo for the first time a large negative or positive variation, as an indicator of price stability, and relate this to a standard measure of volatility. In an empirical analysis of daily returns for $1071$ stocks traded in the New York Stock Exchange, we find that this measure of stability displays nonmonotonic behavior, …

Statistics and ProbabilityStatistical Finance (q-fin.ST)Stochastic volatilityFinancial economicsQuantitative Finance - Statistical FinanceImplied volatilityCondensed Matter Physics01 natural sciencesVolatility risk premiumSettore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)010305 fluids & plasmasHeston modelFOS: Economics and businessVolatility swap0103 physical sciencesEconometricsForward volatilityEconomicsVolatility smileVolatility (finance)010306 general physicsStatistical and Nonlinear Physic
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SEA presidential address: Group connectivity and cooperation

2011

A model-free methodology is used for the first time to estimate a daily volatility index (VIBEX-NEW) for the Spanish financial market.We use a public data set of daily option prices to compute this index and showthat daily changes in VIBEXNEW display a negative, tight contemporaneous relationship with IBEX daily returns, contrary to other common volatility indicators, as an implied volatility indicator or a GARCH(1,1) conditional volatility model. This relationship is approximately symmetric to the sign on VIBEX-NEW changes and asymmetric to the IBEX-35 returns sign, which make it clearly a suitable volatility index for the Spanish stock market. We also examine the relationship between curr…

Physics::Physics and SocietyComputer Science::Computer Science and Game TheoryTheoretical computer sciencemodel-based volatility indexGeneralizationBinary relationComputer scienceGroup (mathematics)G13Evolutionäre SpieltheorieLeverage effectG15leverage effectGefangenendilemmaMoore neighborhoodDilemmaforecasting volatilitymodel-free volatility indexPresidential addressddc:330Graph (abstract data type)C53General Economics Econometrics and Financerisk
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Approach to the 1-propanol dehydration using an extractive distillation process with ethylene glycol

2015

Abstract The extractive distillation process exploits the capacity of some chemicals to alter the relative volatility between the components of a mixture. In this way, a third component (called entrainer) may be added to an azeotropic binary mixture to break the azeotrope. This paper discusses the potential use of ethylene glycol as entrainer in a 1-propanol dehydration process by extractive distillation. First, the present work focuses on the acquisition of isobaric vapor–liquid equilibrium data of the ternary system 1-propanol + water + ethylene glycol system and the binaries systems 1-propanol + ethylene glycol and water + ethylene glycol. All measurements were done at 101.3 kPa. The exp…

UNIQUACRelative volatilityProcess Chemistry and TechnologyGeneral Chemical EngineeringEnergy Engineering and Power TechnologyThermodynamicsGeneral ChemistryIndustrial and Manufacturing Engineeringchemistry.chemical_compoundchemistryAzeotropic distillationAzeotropeNon-random two-liquid modelOrganic chemistryExtractive distillationIsobaric processEthylene glycolChemical Engineering and Processing: Process Intensification
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The shape of small sample biases in pricing kernel estimations

2016

AbstractNumerous empirical studies find pricing kernels that are not-monotonically decreasing; the findings are at odds with the pricing kernel being marginal utility of a risk-averse, so-called representative agent. We study in detail the common procedure which estimates the pricing kernel as the ratio of two separate density estimations. In the first step, we analyse theoretically the functional dependence for the ratio of a density to its estimated density; this cautions the reader regarding potential computational issues coupled with statistical techniques. In the second step, we study this quantitatively; we show that small sample biases shape the estimated pricing kernel, and that est…

Computer Science::Computer Science and Game Theory050208 finance05 social sciencesKernel density estimationMonotonic functionRepresentative agentImplied volatility01 natural sciencesOdds010104 statistics & probabilityEmpirical researchStochastic discount factor0502 economics and businessEconometrics0101 mathematicsMarginal utilityGeneral Economics Econometrics and FinanceFinanceMathematicsQuantitative Finance
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A Stochastic Variance Factor Model for Large Datasets and an Application to S&P Data

2008

The aim of this paper is to consider multivariate stochastic volatility models for large dimensional datasets. We suggest the use of the principal component methodology of Stock and Watson [Stock, J.H., Watson, M.W., 2002. Macroeconomic forecasting using diffusion indices. Journal of Business and Economic Statistics, 20, 147–162] for the stochastic volatility factor model discussed by Harvey, Ruiz, and Shephard [Harvey, A.C., Ruiz, E., Shephard, N., 1994. Multivariate Stochastic Variance Models. Review of Economic Studies, 61, 247–264]. We provide theoretical and Monte Carlo results on this method and apply it to S&P data.

Economics and EconometricsMultivariate statisticsPrincipal componentsStochastic volatilityjel:C32jel:C33jel:G12Factor modelPrincipal component analysisEconometricsEconomicsStochastic volatility Factor models Principal componentsStochastic volatilityforecasting; stochastic volatility; large datasetFinanceFactor analysis
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Stereotactic Ablative Radiation Therapy for Lung Oligometastases: Predictive Parameters of Early Response by (18)FDG-PET/CT

2017

Abstract Objectives The objective of this study was to investigate fludeoxyglucose F 18 positron emission tomography/computed tomography ( 18 FDG-PET/CT) parameters as predictive of response after stereotactic ablative radiotherapy (SABR) for lung oligometastases. Methods The inclusion criteria of the current retrospective study were as follows: (1) lung oligometastases treated by SABR, (2) presence of 18 FDG-PET/CT before and after SABR for at least two subsequent evaluations, (3) Karnofsky performance status higher than 80, and (4) life expectancy longer than 6 months. All patients were treated with a biologically equivalent dose of at least 100 Gy with an alpha/beta ratio of 10. The foll…

MaleFludeoxyglucose F-18Lung Neoplasmsmedicine.medical_treatment18FDG-PET/CT; Lung malignancies; Predictive factors; SABR; Adenocarcinoma; Aged; Aged 80 and over; Carcinoma Non-Small-Cell Lung; Carcinoma Squamous Cell; Female; Fluorodeoxyglucose F18; Follow-Up Studies; Humans; Lung Neoplasms; Lymphatic Metastasis; Male; Middle Aged; Neoplasm Recurrence Local; Neoplasm Staging; Positron Emission Tomography Computed Tomography; Prognosis; Radiopharmaceuticals; Retrospective Studies; Tumor Burden; Radiosurgery; Oncology; Pulmonary and Respiratory MedicineSABR volatility model030218 nuclear medicine & medical imaging0302 clinical medicinePositron Emission Tomography Computed TomographyAblative case80 and overMedicineNon-Small-Cell LungSABRmedicine.diagnostic_test(18)FDG-PET/CTMiddle AgedPrognosisTumor Burdenmedicine.anatomical_structureLocalOncologyPositron emission tomography030220 oncology & carcinogenesisLymphatic MetastasisFemaleRadiologyPredictive factorsPulmonary and Respiratory Medicinemedicine.medical_specialtyLung malignanciesStandardized uptake value18FDG-PET/CTAdenocarcinomaRadiosurgery03 medical and health sciencesFluorodeoxyglucose F18HumansAgedNeoplasm StagingRetrospective StudiesLungbusiness.industryCarcinomaRetrospective cohort studyRadiation therapyNeoplasm RecurrenceSquamous CellRadiopharmaceuticalsbusinessNuclear medicineFollow-Up Studies(18)FDG-PET/CT; Lung malignancies; Predictive factors; SABR
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Firm Size and Volatility Analysis in the Spanish Stock Market

2011

In this article, three strongly related questions are studied. First, volatility spillovers between large and small firms in the Spanish stock market are analyzed by using a conditional CAPM with an asymmetric multivariate GARCH-M covariance structure. Results show that there exist bidirectional volatility spillovers between both types of firms, especially after bad news. Second, the volatility feedback hypothesis explaining the volatility asymmetry feature is investigated. Results show significant evidence for this hypothesis. Finally, the study uncovers that conditional beta coefficient estimates within the used model are insensitive to sign and size asymmetries in the unexpected shock re…

Stochastic volatilityFinancial economicsRisk premiumAutoregressive conditional heteroskedasticityEconomics Econometrics and Finance (miscellaneous)CovarianceImplied volatilityVolatility risk premiumMultivariate garchPrice of riskVolatility swapEconomicsEconometricsForward volatilityVolatility smileCapital asset pricing modelStock marketVolatility (finance)SSRN Electronic Journal
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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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