ESTIMASI NILAI IMPLIED VOLATILITY MENGGUNAKAN SIMULASI MONTE CARLO

Investing among investors is an exciting activity to gain profit in the financial world. The development of investment in the financial world affects the number of alternative investment instruments that can be offered to investors in the capital market. The management of instruments in finance depe...

Full description

Bibliographic Details
Main Authors: MAKBUL MUFLIHUNALLAH, KOMANG DHARMAWAN, NI MADE ASIH
Format: Article
Language:English
Published: Universitas Udayana 2018-09-01
Series:E-Jurnal Matematika
Online Access:https://ojs.unud.ac.id/index.php/mtk/article/view/41900
id doaj-55ebfdec2cfa49d7a273f1928c32c639
record_format Article
spelling doaj-55ebfdec2cfa49d7a273f1928c32c6392020-11-25T01:13:33ZengUniversitas UdayanaE-Jurnal Matematika2303-17512018-09-017323924510.24843/MTK.2018.v07.i03.p20941900ESTIMASI NILAI IMPLIED VOLATILITY MENGGUNAKAN SIMULASI MONTE CARLOMAKBUL MUFLIHUNALLAH0KOMANG DHARMAWAN1NI MADE ASIH2Udayana UniversityUdayana UniversityUdayana UniversityInvesting among investors is an exciting activity to gain profit in the financial world. The development of investment in the financial world affects the number of alternative investment instruments that can be offered to investors in the capital market. The management of instruments in finance depends on the accuracy of forecasting of variables for example volatility. Volatility is a statistic of the degree of price variation in one period to the next which is expressed by ?. Volatility values can be estimated using Implied Volatility. Implied Volatility is the volatility used in determining the price of European options obtained by equalizing the price of the theoretical options, the price obtained from the Black-Scholes model, with the option price in the market. In this research will discuss how to estimate Implied Volatility value using the option obtained from simulation with Monte Carlo.https://ojs.unud.ac.id/index.php/mtk/article/view/41900
collection DOAJ
language English
format Article
sources DOAJ
author MAKBUL MUFLIHUNALLAH
KOMANG DHARMAWAN
NI MADE ASIH
spellingShingle MAKBUL MUFLIHUNALLAH
KOMANG DHARMAWAN
NI MADE ASIH
ESTIMASI NILAI IMPLIED VOLATILITY MENGGUNAKAN SIMULASI MONTE CARLO
E-Jurnal Matematika
author_facet MAKBUL MUFLIHUNALLAH
KOMANG DHARMAWAN
NI MADE ASIH
author_sort MAKBUL MUFLIHUNALLAH
title ESTIMASI NILAI IMPLIED VOLATILITY MENGGUNAKAN SIMULASI MONTE CARLO
title_short ESTIMASI NILAI IMPLIED VOLATILITY MENGGUNAKAN SIMULASI MONTE CARLO
title_full ESTIMASI NILAI IMPLIED VOLATILITY MENGGUNAKAN SIMULASI MONTE CARLO
title_fullStr ESTIMASI NILAI IMPLIED VOLATILITY MENGGUNAKAN SIMULASI MONTE CARLO
title_full_unstemmed ESTIMASI NILAI IMPLIED VOLATILITY MENGGUNAKAN SIMULASI MONTE CARLO
title_sort estimasi nilai implied volatility menggunakan simulasi monte carlo
publisher Universitas Udayana
series E-Jurnal Matematika
issn 2303-1751
publishDate 2018-09-01
description Investing among investors is an exciting activity to gain profit in the financial world. The development of investment in the financial world affects the number of alternative investment instruments that can be offered to investors in the capital market. The management of instruments in finance depends on the accuracy of forecasting of variables for example volatility. Volatility is a statistic of the degree of price variation in one period to the next which is expressed by ?. Volatility values can be estimated using Implied Volatility. Implied Volatility is the volatility used in determining the price of European options obtained by equalizing the price of the theoretical options, the price obtained from the Black-Scholes model, with the option price in the market. In this research will discuss how to estimate Implied Volatility value using the option obtained from simulation with Monte Carlo.
url https://ojs.unud.ac.id/index.php/mtk/article/view/41900
work_keys_str_mv AT makbulmuflihunallah estimasinilaiimpliedvolatilitymenggunakansimulasimontecarlo
AT komangdharmawan estimasinilaiimpliedvolatilitymenggunakansimulasimontecarlo
AT nimadeasih estimasinilaiimpliedvolatilitymenggunakansimulasimontecarlo
_version_ 1725161545669804032