PENENTUAN PORTOFOLIO DAN VALUE AT RISK MENGGUNAKAN MODEL ARMA-GARCH

conditional copula-garch methods for value at risk of portfolio: the case of tehran stock exchange market

ارزش در معرض ریسک یکی از مهمترین معیارهای اندازه گیری ریسک در بنگاه های اقتصادی می باشد. برآورد دقیق ارزش در معرض ریسک موضوع بسیارمهمی می باشد و انحراف از آن می تواند موجب ورشکستگی و یا عدم تخصیص بهینه منابع یک بنگاه گردد. هدف اصلی این مطالعه بررسی کارایی روش copula-garch شرطی در برآورد ارزش در معرض ریسک پرتفویی متشکل از دو سهام می باشد و ارزش در معرض ریسک بدست آمده با روشهای سنتی برآورد ارزش د...

Asymptotic Theory for a Vector Arma-garch Model

This paper investigates the asymptotic theory for a vector autoregressive moving average–generalized autoregressive conditional heteroskedasticity ~ARMAGARCH! model+ The conditions for the strict stationarity, the ergodicity, and the higher order moments of the model are established+ Consistency of the quasimaximum-likelihood estimator ~QMLE! is proved under only the second-order moment conditi...

Evaluating Portfolio Value-at-Risk using Semi-Parametric GARCH Models

In this paper we examine the usefulness of multivariate semi-parametric GARCH models for portfolio selection under a Value-at-Risk (VaR) constraint. First, we specify and estimate several alternative multivariate GARCH models for daily returns on the S&P 500 and Nasdaq indexes. Examining the within sample VaRs of a set of given portfolios shows that the semi-parametric model performs uniformly ...

Forecasting Value-at-risk by Using Garch Models

Estimation of Value at Risk (VaR) Based On Lévy-GARCH Models: Evidence from Tehran Stock Exchange

This paper aims to estimate the Value-at-Risk (VaR) using GARCH type models with improved return distribution. Value at Risk (VaR) is an essential benchmark for measuring the risk of financial markets quantitatively. The parametric method, historical simulation, and Monte Carlo simulation have been proposed in several financial mathematics and engineering studies to calculate VaR, that each of ...