Search results for " volatility"

showing 10 items of 113 documents

Extracting Conditionally Heteroskedastic Components using Independent Component Analysis

2020

In the independent component model, the multivariate data are assumed to be a mixture of mutually independent latent components. The independent component analysis (ICA) then aims at estimating these latent components. In this article, we study an ICA method which combines the use of linear and quadratic autocorrelations to enable efficient estimation of various kinds of stationary time series. Statistical properties of the estimator are studied by finding its limiting distribution under general conditions, and the asymptotic variances are derived in the case of ARMA-GARCH model. We use the asymptotic results and a finite sample simulation study to compare different choices of a weight coef…

asymptotic normalityautocorrelationOriginal Articlesaikasarja-analyysiprincipal volatility componentARMA-GARCH processmonimuuttujamenetelmätblind source separationGARCH-mallit62m10ARMA‐GARCH processOriginal Articletilastolliset mallit60g10
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The term structure of volatility predictability

2020

Volatility forecasting is crucial for portfolio management, risk management, and pricing of derivative securities. Still, little is known about the accuracy of volatility forecasts and the horizon of volatility predictability. This paper aims to fill these gaps in the literature. We begin this paper by introducing the notions of the spot and forward predicted volatilities and propose to describe the term structure of volatility predictability by the spot and forward forecast accuracy curves. Then we perform a comprehensive study on the term structure of volatility predictability in the stock and foreign exchange markets. Our results quantify the volatility forecast accuracy across horizons …

business.industryMaturity (finance)Term (time)Derivative (finance)Forward volatilityEconometricsEconomicsForeign exchangeBusiness and International ManagementProject portfolio managementPredictabilityVolatility (finance)businessRisk managementStock (geology)International Journal of Forecasting
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Isobaric Vapor−Liquid Equilibria for Water + Acetic Acid + Sodium Acetate

2003

Isobaric vapor−liquid equilibria for the binary water + sodium acetate and acetic acid + sodium acetate systems and ternary mixtures of water, acetic acid, and sodium acetate have been measured at 100 kPa with a recirculating still. The addition of sodium acetate to water + acetic acid mixtures produced an appreciable rise in equilibrium temperature but a small effect on the relative volatility of water, which was augmented at higher water solvent concentrations and decreased at lower concentrations. These effects increased with higher salt concentrations. The experimental binary data sets have been correlated using a modified Mock's electrolyte NRTL model, which takes into account the asso…

chemistry.chemical_classificationChromatographyRelative volatilityGeneral Chemical EngineeringInorganic chemistrySalt (chemistry)General ChemistryElectrolyteSolventAcetic acidchemistry.chemical_compoundchemistryNon-random two-liquid modelIsobaric processSodium acetateJournal of Chemical & Engineering Data
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Empirical Study on the Relationship between the Cross-Correlation among Stocks and the Stocks' Volatility Clustering

2013

In this paper we discuss univariate and multivariate statistical properties of volatility with the aim of understanding how these two aspects are interrelated. Specifically, we focus on the relationship between the cross-correlation among stock's volatilities and the volatility clustering. Volatility clustering is related to the memory property of the volatility time-series and therefore to its predictability. Our results show that there exists a relationship between the level of predictability of any volatility time-series and the amount of its inter-dependence with other assets. In all considered cases, the more the asset is linked to other assets, the more its volatility keeps memory of …

financial instruments and regulation socio-economic networks stochastic processes clustering techniquesVolatility clusteringStochastic volatilityFinancial models with long-tailed distributions and volatility clusteringVolatility swapForward volatilityEconometricsVolatility smileEconomicsImplied volatilityVolatility risk premiumSettore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)SSRN Electronic Journal
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IMPORTANCIA DE LAS PERTURBACIONES EXTERNAS EN LA ECONOMÍA ESPAÑOLA TRAS LA INTEGRACIÓN: ¿TAMAÑO DEL SHOCK O GRADO DE RESPUESTA?

2005

This paper analyses whether the impact of European shocks in the Spanisheconomy has increased after the entry of Spain in the European Community. UsingVAR models, we try to disentangle whether the change in the importance of Europe isdue to a change in the size of the shocks or in the propagation effects. The results showsthat after 1986, despite the decrease in the size of European shocks, their impact on theSpanish business cycle has increases due to a larger sensitivity of the Spanish economyto these shocks. El objetivo de este trabajo es analizar si ha aumentado la influencia de los shocks europeos en la economía española tras el proceso de integración en Europa, distinguiendo si los ca…

jel:E32jel:C32jel:E37fluctuaciones económicas integración europea volatilidad economic fluctuations European integration volatility
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ANALYZING THE EUROPEAN MARKET OF INTEREST RATE SWAP INDICES

2012

The interest rate risk is the most important risk that derives from the OTC transactions, taking into consideration both the notional amounts and the market value of the financial derivatives that relies on interest rate contracts. Open positions on interest rate derivatives represents more than 75% of the OTC market. In the European banking market interest rate swaps prices are strongly dependent on the interbank interest rates. In this paper we want to analyze the behavior of the Eoniaswap indices and their impact on the interest rate swaps between banks.

jel:E50lcsh:Financelcsh:HG1-9999jel:E43lcsh:Businesslcsh:HF5001-6182jel:G10jel:G21interest rate risk Eoniaswap volatility impulse response functionsThe Journal of the Faculty of Economics - Economic
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Impact of Renewables in Spanish Electricity Markets

2021

El objetivo de la presente tesis es analizar el impacto de la introducción de las energías renovables en el sistema eléctrico español. El sistema eléctrico español es elegido como ejemplo paradigmático debido al intenso crecimiento observado en las renovables en los últimos años, en especial de energía eólica. Su contenido se estructura en 3 capítulos: En el primer Capitulo, ”Effects of renewable on the stylized facts of electricity prices”, se analiza el impacto de las renovables en el precio resultante de la subasta del mercado diario (también llamado precio spot) siendo objeto de estudio no solo el comportamiento del precio en niveles, sino también sus características principales, como …

machine learningbalancing marketsintermittencyelectricity marketstrategic biddingUNESCO::CIENCIAS ECONÓMICASrenewable:CIENCIAS ECONÓMICAS [UNESCO]price volatility
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The Euro and Monetary Policy Transparency

2002

This paper focuses on a possible explanation for the weakness of the euro, namely the lack of transparency of the European Central Bank's (ECB) monetary policy. In order to obtain a time-varying measure of monetary policy uncertainty in both the U.S. and Euroland, we estimate a Stochastic Volatility model using policy-adjusted short-term interest rates. We also analyze directly the impact of higher uncertainty on the euro-dollar exchange rate. The empirical findings are in line with those of other studies, and show that the U.S. Fed is more transparent than the ECB. This results in higher volatility of European interest rates, capital outflows, and a weaker euro vis-a-vis the U.S. dollar.

monetary policy transparency; exchange ratesmonetary policy uncertainty stochastic volatilityExchange Rates; Interest Rates; Interest; Monetary Policy; Monetary; Policyjel:E52jel:E42monetary policy transparencyexchange ratesjel:F36jel:F33
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Reduced Order Models for Pricing European and American Options under Stochastic Volatility and Jump-Diffusion Models

2017

Abstract European options can be priced by solving parabolic partial(-integro) differential equations under stochastic volatility and jump-diffusion models like the Heston, Merton, and Bates models. American option prices can be obtained by solving linear complementary problems (LCPs) with the same operators. A finite difference discretization leads to a so-called full order model (FOM). Reduced order models (ROMs) are derived employing proper orthogonal decomposition (POD). The early exercise constraint of American options is enforced by a penalty on subset of grid points. The presented numerical experiments demonstrate that pricing with ROMs can be orders of magnitude faster within a give…

ta113Mathematical optimizationGeneral Computer ScienceStochastic volatilityDifferential equationEuropean optionMonte Carlo methods for option pricingJump diffusion010103 numerical & computational mathematics01 natural sciencesTheoretical Computer Science010101 applied mathematicsValuation of optionsModeling and Simulationlinear complementary problemRange (statistics)Asian optionreduced order modelFinite difference methods for option pricing0101 mathematicsAmerican optionoption pricingMathematicsJournal of Computational Science
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Reduced Order Models for Pricing American Options under Stochastic Volatility and Jump-diffusion Models

2016

American options can be priced by solving linear complementary problems (LCPs) with parabolic partial(-integro) differential operators under stochastic volatility and jump-diffusion models like Heston, Merton, and Bates models. These operators are discretized using finite difference methods leading to a so-called full order model (FOM). Here reduced order models (ROMs) are derived employing proper orthogonal decomposition (POD) and non negative matrix factorization (NNMF) in order to make pricing much faster within a given model parameter variation range. The numerical experiments demonstrate orders of magnitude faster pricing with ROMs. peerReviewed

ta113Mathematical optimizationStochastic volatilityDiscretizationComputer scienceJump diffusionFinite difference method010103 numerical & computational mathematics01 natural sciencesNon-negative matrix factorization010101 applied mathematicsValuation of optionslinear complementary problemRange (statistics)General Earth and Planetary SciencesApplied mathematicsreduced order modelFinite difference methods for option pricing0101 mathematicsAmerican optionoption pricingGeneral Environmental ScienceProcedia Computer Science
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