Patent Value Evaluation of Communication Enterprises Based on Real Option Method

Abstract

Patents are an important asset for a company, especially for telecommunications companies. Evaluating the value of patent portfolios and analyzing the benefits brought by patents is of great significance to the development of communication enterprises with multiple patents. In this paper, the gray GM(1,1) model, random forest algorithm and Monte Carlo simulation are introduced into the B-S option pricing model of the real option method. The gray GM(1,1) model has unique utility for the analysis and modeling of short time series and few statistical data, and has the characteristics of high prediction accuracy and good effect. The random forest algorithm has great advantages in the calculation of revenue sharing rate, and Monte Carlo simulation can optimize volatility parameters. Therefore, the B-S model is used to analyze the 5G patent data of ZTE Co., Ltd. with access technology functions, which has certain operability and reference.