PERBANDINGAN KEEFISIENAN METODE NEWTON-RAPHSON, METODE SECANT, DAN METODE BISECTION DALAM MENGESTIMASI IMPLIED VOLATILITIES SAHAM
Black-Scholes model suggests that volatility is constant or fixed during the life time of the option certainly known. However, this does not fit with what happen in the real market. Therefore, the volatility has to be estimated. Implied Volatility is the etimated volatility from a market mechanism t...
Main Authors: | IDA AYU EGA RAHAYUNI, KOMANG DHARMAWAN, LUH PUTU IDA HARINI |
---|---|
Format: | Article |
Language: | English |
Published: |
Universitas Udayana
2016-01-01
|
Series: | E-Jurnal Matematika |
Subjects: | |
Online Access: | https://ojs.unud.ac.id/index.php/mtk/article/view/18714 |
Similar Items
-
Blended Root Finding Algorithm Outperforms Bisection and Regula Falsi Algorithms
by: Chaman Lal Sabharwal
Published: (2019-11-01) -
A Comparative Study among New Hybrid Root Finding Algorithms and Traditional Methods
by: Elsayed Badr, et al.
Published: (2021-06-01) -
Aplikasi Algoritma Biseksi dan Newton-Raphson dalam Menaksir Nilai Volatilitas Implied
by: Komang Dharmawan, et al.
Published: (2012-11-01) -
PERBANDINGAN SOLUSI SISTEM PERSAMAAN NONLINEAR MENGGUNAKAN METODE NEWTON-RAPHSON DAN METODE JACOBIAN
by: NANDA NINGTYAS RAMADHANI UTAMI, et al.
Published: (2013-05-01) -
Application of a Generalized Secant Method to Nonlinear Equations with Complex Roots
by: Avram Sidi
Published: (2021-07-01)