Search results for " volatility"

showing 10 items of 113 documents

Growth Volatility Indices

2006

We study the determinants of growth rate volatility in a multisector economy where sectors are heterogeneous in their individual volatility. We propose a model where aggregate volatility is explained by structural change and the size of the economy. We present a first attempt to test these predictions measuring growth volatility by indices based on Markov transition matrices. Growth volatility appears to (i) decrease with total GDP and (ii) increase with the share of the agricultural sector on GDP, although some nonlinearities appear. Trade openness, which we relate to the size of the economy, also plays a role. In accordance with our model, the explanatory power of per capita GDP, a releva…

Structural changeOpenness to experienceEconomicsStochastic matrixForward volatilityEconometricsGrowth rateVolatility (finance)Explanatory powerSettore SECS-P/01 - Economia PoliticaGross domestic product
researchProduct

Proportional Small Sample Bias in Pricing Kernel Estimations

2014

Numerous 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 a first step, we analyze theoretically the functional dependence for the ratio of a density to its estimated density; this cautions the reader of potential computational issues coupled with statistical techniques. In a second step, we study this quantitatively; we show that small sample biases shape the estimated pricing kernel, and that estimated pricing kern…

TheoryofComputation_MISCELLANEOUSComputer Science::Computer Science and Game TheoryVariable kernel density estimationStochastic discount factorKernel (statistics)StatisticsKernel density estimationEconomicsEconometricsKernel smootherRepresentative agentImplied volatilityOddsSSRN Electronic Journal
researchProduct

Pricing of Forwards and Options in a Multivariate Non-Gaussian Stochastic Volatility Model for Energy Markets

2013

In Benth and Vos (2013) we introduced a multivariate spot price model with stochastic volatility for energy markets which captures characteristic features, such as price spikes, mean reversion, stochastic volatility, and inverse leverage effect as well as dependencies between commodities. In this paper we derive the forward price dynamics based on our multivariate spot price model, providing a very flexible structure for the forward curves, including contango, backwardation, and hump shape. Moreover, a Fourier transform-based method to price options on the forward is described.

TheoryofComputation_MISCELLANEOUSspread optionStatistics and Probability15A04Computer Science::Computer Science and Game TheoryFinancial economicsNormal backwardationImplied volatility01 natural sciences010104 statistics & probabilityEnergy marketVolatility swap0502 economics and businessEconometricsForward volatilitystochastic volatility0101 mathematicsMathematics050208 financeStochastic volatilityApplied Mathematics05 social sciencesContangosubordinatorforward pricing91G20Forward priceVolatility smile60H3060G1060G51Advances in Applied Probability
researchProduct

Available evidence on re-irradiation with stereotactic ablative radiotherapy following high-dose previous thoracic radiotherapy for lung malignancies

2015

Patients affected with intra-thoracic recurrences of primary or secondary lung malignancies after a first course of definitive radiotherapy have limited therapeutic options, and they are often treated with a palliative intent. Re-irradiation with stereotactic ablative radiotherapy (SABR) represents an appealing approach, due to the optimized dose distribution that allows for high-dose delivery with better sparing of organs at risk. This strategy has the goal of long-term control and even cure. Aim of this review is to report and discuss published data on re-irradiation with SABR in terms of efficacy and toxicity. Results indicate that thoracic re-irradiation may offer satisfactory disease c…

ThoraxRe-Irradiationmedicine.medical_specialtyLung NeoplasmsStereotactic body radiotherapymedicine.medical_treatmentLung cancer; Re-irradiation; Stereotactic ablative radiotherapy; Stereotactic body radiotherapy; Thoracic relapseLung cancer; Re-irradiation; Stereotactic ablative radiotherapy; Stereotactic body radiotherapy; Thoracic relapse; Humans; Lung Neoplasms; Patient Selection; Radiotherapy Dosage; Thorax; Radiosurgery; Oncology; Radiology Nuclear Medicine and ImagingSABR volatility modelRadiosurgeryRadiosurgeryNuclear Medicine and ImagingAblative casemedicineHumansRadiology Nuclear Medicine and imagingLung cancerThoracic relapsebusiness.industryPatient SelectionRetrospective cohort studyRadiotherapy DosageGeneral MedicineThoraxmedicine.diseaseRadiation therapyOncologyRe-irradiationRadiologyStereotactic ablative radiotherapyLung cancerbusinessRadiology
researchProduct

European Option Pricing with Transaction Costs and Stochastic Volatility: an Asymptotic Analysis

2015

In this paper the valuation problem of a European call option in presence of both stochastic volatility and transaction costs is considered. In the limit of small transaction costs and fast mean reversion, an asymptotic expression for the option price is obtained. While the dominant term in the expansion it is shown to be the classical Black and Scholes solution, the correction terms appear at $O(\varepsilon^{1/2})$ and $O(\varepsilon)$. The optimal hedging strategy is then explicitly obtained for the Scott's model.

Transaction costAsymptotic analysisStochastic volatilityAsymptotic AnalysisApplied MathematicsStochastic VolatilityBlack–Scholes modelDynamical Systems (math.DS)Implied volatilityTransaction CostsFOS: Economics and businessOption Pricing; Stochastic Volatility; Transaction Costs; Asymptotic AnalysisValuation of optionstransaction costEconometricsMean reversionFOS: MathematicsCall optionPricing of Securities (q-fin.PR)Mathematics - Dynamical SystemsOption PricingSettore MAT/07 - Fisica MatematicaQuantitative Finance - Pricing of SecuritiesMathematics
researchProduct

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
researchProduct

Isobaric vapor-liquid equilibria for extractive distillation of 1-propanol + water mixture using thiocyanate-based ionic liquids

2017

Abstract This paper presents vapor-liquid equilibrium (VLE) data at 101.3 kPa for the ternary systems 1-propanol + water + 1-ethyl-3-methylimidazolium thiocyanate [emim][SCN] and 1-propanol + water + 1-butyl-3-methylimidazolium thiocyanate [bmim][SCN] and their constituents binary systems. The experimental data obtained were correlated using the NRTL, eNRTL and UNIQUAC models. It was found that the addition of these ionic liquids enhance the relative volatility of 1-propanol to water, and the separation ability follows the order of [emim][SCN] > [bmim][SCN]. The results obtained were compared with the VLE data of the system containing this azeotropic mixtures with different imidazolium-base…

UNIQUACThiocyanateRelative volatilityInorganic chemistry02 engineering and technology010402 general chemistry01 natural sciencesAtomic and Molecular Physics and Optics0104 chemical scienceschemistry.chemical_compound1-Propanol020401 chemical engineeringchemistryIonic liquidNon-random two-liquid modelVapor–liquid equilibriumExtractive distillationPhysical chemistryGeneral Materials Science0204 chemical engineeringPhysical and Theoretical ChemistryThe Journal of Chemical Thermodynamics
researchProduct

Has the Introduction of Bitcoin Futures on Regulated Exchanges Decreased Price Volatility?

2019

Master's thesis Business Administration BE501 - University of Agder 2019 Bitcoin is a tremendously debated phenomenon in the world of finance and in recent the scientific literature on the topic has expanded. In this thesis,the bitcoin to US dollar exchange rate is examined through various conditional variance models to describe its highly volatile nature. We examine whether the introduction of bitcoin futurescontractsin late 2017 has had a decreasing impact on price volatility by estimatingthe unconditional variance. The log-return of the bitcoin exchange rate is analysed,and there is evidence of volatility clustering and time-varying volatility. Consequently, the variance is modelled thro…

VDP::Samfunnsvitenskap: 200::Økonomi: 210statistical analysisconditional variance modellingbitcoinBE501exchange ratebitcoin futuresprice volatility
researchProduct

Estimation of Value-at-Risk on Romanian Stock Exchange Using Volatility Forecasting Models

2013

This paper aims to analyse the market risk (estimated by Value-at-Risk) on the Romanian capital market using modern econometric tools to estimate volatility, such as EWMA, GARCH models. In this respect, I want to identify the most appropriate volatility forecasting model to estimate the Value-at-Risk (VaR) of a portofolio of representative indices (BET, BET-FI and RASDAQ-C). VaR depends on the volatility, time horizon and confidence interval for the continuous returns under analysis. Volatility tends to happen in clusters. The assumption that volatility remains constant at all times can be fatal. It is determined that the most recent data have asserted more influence on future volatility th…

Value-at-Risk volatility forecasting EWMA GARCH models autocorrelationautocorrelationValue-at-Riskvolatility forecastinglcsh:Financelcsh:HG1-9999GARCH modelsEWMAExpert Journal of Finance
researchProduct

THE CARMA INTEREST RATE MODEL

2014

In this paper, we present a multi-factor continuous-time autoregressive moving-average (CARMA) model for the short and forward interest rates. This model is able to present an adequate statistical description of the short and forward rate dynamics. We show that this is a tractable term structure model and provides closed-form solutions to bond prices, yields, bond option prices, and the term structure of forward rate volatility. We demonstrate the capabilities of our model by calibrating it to a panel of spot rates and the empirical volatility of forward rates simultaneously, making the model consistent with both the spot rate dynamics and forward rate volatility structure.

Vasicek modelBond optionInterest rate model short rate forward rate term structure CARMA process bond pricing bond option pricing yield curve volatility curve calibrationImplied volatilityBond valuationShort-rate modelForward rateShort rateForward volatilityEconometricsEconomicsLIBOR market modelYield curveVolatility (finance)General Economics Econometrics and FinanceFinanceAffine term structure modelRendleman–Bartter modelMathematicsInternational Journal of Theoretical and Applied Finance
researchProduct