Modelling Real Options: A First Passage Time Approach
Jihe Song
Abstract
Jihe Song
Abstract
This paper introduces the first passage time approach to study optimal option exercise rule for geometric Brownian motion process to a boundary. I have derived analytical results on the first passage time probability, density and its expectation. The results on the first moment of the first passage time clarify some recent controversies on the sign of uncertainty on investment. The first passage time provides an alternative characterisation of optimal exercise rule. In addition, we establish a new framework for testing real option models. The approach is applicable to other stochastic modelling in finance and economics.
OpenAlex reports 1 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
This paper introduces the first passage time approach to study optimal option exercise rule for geometric Brownian motion process to a boundary. I have derived analytical results on the first passage time probability, density and its expectation. The results on the first moment of the first passage time clarify some recent controversies on the sign of uncertainty on investment. The first passage time provides an alternative characterisation of optimal exercise rule. In addition, we establish a new framework for testing real option models. The approach is applicable to other stochastic modelling in finance and economics.
Key concepts: First-hitting-time model, Geometric Brownian motion, Moment (physics), Sign (mathematics), Brownian motion, Hitting time, Boundary (topology), Process (computing)