Jurnal Matematika: MANTIK
Vol. 2 No. 1 (2016): Mathematics and Applied Mathematics

Metode Historis untuk Perhitungan Value at Risk pada Model Generalized Autoregressive Conditional Heteroscedacity in Mean

Alfi Reny Kusumaningtyas (UIN Maulana Malik Ibrahim Malang)
Abdul Aziz (UIN Maulana Malik Ibrahim Malang)



Article Info

Publish Date
30 Oct 2016

Abstract

Investment is a commitment of the placement of the data on an object or a few investments with expectations will benefit in the future. The main motive is to seek investment gain or profit in a certain amount, but behind the good side there is one side that can harm or the risk of, for it required a measurement of risk where methods of value at risk (VaR) is very popular is widely used by the financial industry worldwide. Three main method on calculation of VaR historical method, parametric method and Monte Carlo method. So, the selected calculation of VaR GARCH-M model with historical simulation method on Bank Mandiri Tbk closing stock in 2005-2010. This research aims to know the calculation of VaR model GARCH-M through the historical method and implementation model GARCH-M on the computation of VaR via simulation on closing stock Bank Mandiri Tbk. Historical method approach is a model calculation of VaR is determined by the value of the past (historical) or return generated by simulation (repetition) of data used. The measures undertaken that explains the historical simulation method VaR models in the estimation of GARCH-M with a normal distribution, then apply GARCH-M in case of loss obtained by investors after investing with the help of Minitab software, E-views software and Matlab software.

Copyrights © 2016






Journal Info

Abbrev

mantik

Publisher

Subject

Mathematics

Description

Jurnal Matematika MANTIK is a mathematical journal published biannually by the Mathematics Department, Faculty of Science and Technology, UIN Sunan Ampel Surabaya. Journal includes research papers, literature studies, analysis, and problem-solving in Mathematics (Algebra, Analysis, Statistics, ...