Search results for " GARCH models"

showing 3 items of 3 documents

MODELING OF VOLATILITY IN THE ROMANIAN CAPITAL MARKET

2012

This paper aims to analyze the volatility of capital market in Romania by selecting a portfolio of representative indices (BET BET_FI and RASDAQ_C). In this respect, we want to identify the most appropriate model to estimate volatility by using modern econometric tools and useful GARCH models respectively. The study results highlight that EGARCH(1,1) model has managed to eliminate all traces of statistically significant autocorrelation and ARCH effects from the residuals from daily series, giving an accurate image of the Romanian capital market volatility.

volatility GARCH models autocorrelation normal distributionStudies in Business and Economics
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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
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Volatility transmission patterns and terrorist attacks

2009

The objective of this study is to analyze volatility transmission between the US and Eurozone stock markets considering the effects of the September 11, March 11 and July 7 financial crises. In order to do this, we use a multivariate GARCH model and take into account the asymmetric volatility phenomenon, the non-synchronous trading problem and the crises themselves. Moreover, a graphical analysis of the Asymmetric Volatility Impulse-Response Functions (AVIRF) is introduced, which takes into consideration the crisis effect. Results suggest that there is bidirectional and asymmetric volatility transmission and show the different impact that terrorist attacks had on both markets. El objetivo d…

Estadística matemàticaTheorieanwendungtransmissions de volatilitatFinancial economicsEconomicsAutoregressive conditional heteroskedasticitymercados financieros internacionalesMercados financieros internacionales; Crisis financieras; GARCH multivariante; Transmisión de volatilidad. International financial markets; Stock market crisis; Multivariate GARCH; Volatility spillovers.theory applicationMultivariate garch modelOrder (exchange)Volatility swapFinances internacionalsEconomicsEconometricsddc:330multivariate GARCHcrisis del mercado de valorescrisi del mercat de valorsRisk managementInternational financeStock (geology)Economic Statistics Econometrics Business InformaticsMercat Investigacióvolatility spilloversmercats financers internacionalsbusiness.industryinternational financial marketsFinancial marketWirtschaftstock market crisisjel:C32jel:F30Political EconomyMathematical statisticsjel:G15Estadística matemáticaVolatility Modelling Multivariate Volatility GARCH models International Finance International Asset Pricing Risk ManagementVolkswirtschaftslehreTerrorismWirtschaftsstatistik Ökonometrie WirtschaftsinformatikGraphical analysisVolatility (finance)businessVolatility transmissionGeneral Economics Econometrics and FinanceFinancederrames de volatilidad
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