MENGATASI MASALAH HETEROSKEDASTISITAS DENGAN MENGASUMSIKAN VARIANS VARIABEL GANGGUANNYA PROPORSIONAL DENGAN X_i^2 DAN [E(Y_i)]^2
Abstract
The volatilities of time series data often experience heteroscedastic problems. Heteroscedasticity is a nuisance variable in the regression equation having a variance that is not constant. Therefore, methods to analyze the problem of heteroscedasticity are needed. This study aims to demonstrate how to eliminate the problem of heteroscedasticity. The method used is, GoldFeld-Quandt. As for eliminating the problem of heteroscedasticity by assuming the variance of interference variables proportional to E(Yi)2
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Published
2014-01-31
How to Cite
GUNAWAN, MADE ADI; HARINI, LUH PUTU IDA; ASIH, MADE.
MENGATASI MASALAH HETEROSKEDASTISITAS DENGAN MENGASUMSIKAN VARIANS VARIABEL GANGGUANNYA PROPORSIONAL DENGAN X_i^2 DAN [E(Y_i)]^2.
E-Jurnal Matematika, [S.l.], v. 3, n. 1, p. 33 - 37, jan. 2014.
ISSN 2303-1751. Available at: <https://ojs.unud.ac.id/index.php/mtk/article/view/9603>. Date accessed: 21 nov. 2024.
doi: https://doi.org/10.24843/MTK.2014.v03.i01.p063.
Issue
Section
Articles
Keywords
Arbitrage Pricing Theory; Granger causality test; optimal lag test; Portmanteau test; stationary test; Vector Autoregression
This work is licensed under a Creative Commons Attribution 4.0 International License.
