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Real Option Valuation with Stochastic Interest Rate and Stochastic Volatility
Author(s) -
Ramdhan Fazrianto Suwarman
Publication year - 2019
Publication title -
matematika/matematika: jurnal teori dan terapan matematika
Language(s) - English
Resource type - Journals
eISSN - 2598-8980
pISSN - 1412-5056
DOI - 10.29313/jmtm.v18i2.5138
Subject(s) - valuation (finance) , stochastic volatility , valuation of options , interest rate , rendleman–bartter model , discounted cash flow , cash flow , implied volatility , sabr volatility model , capital budgeting , volatility smile , volatility (finance) , econometrics , economics , computer science , finance , actuarial science , financial economics , project appraisal
. Real options are one of the most interesting research topics in Finance since 1977 Stewart C. Myers from MIT Sloan School of Management published his pioneering article on this subject in the Journal of Financial Economics. Real options are techniques for supporting capital budgeting decisions that adapt techniques developed for financial securities options. The purpose of using this real option is to capture the options contained in projects that cannot be captured by the discounted cash flow model which operates as a basic framework for almost all financial analyzes. The process of valuing real options will be complemented by the stochastic interest rate and stochastic volatility to better capture the flexibility and volatility of the existing economic and financial situation. The valuation will use a Monte Carlo simulation with the MATLAB programming language on crude oil data from the North Sea oil field. Data were obtained from the thesis of Charlie Grafström and Leo Lundquist with the title "Real Option Valuation vs. DCF Evaluation – An Application to a North Sea oilfield".Keyword: real options, stochastic interest rate model, stochastic volatility model, simulation

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