Application Research of Comparable Firm-Finding Algorithm(CFFA) in Information Technology Industry
- Title
- Application Research of Comparable Firm-Finding Algorithm(CFFA) in Information Technology Industry
- Other Titles
- 정보 기술 산업에서 CFFA방법의 적용에 관한 연구
- Author
- WANG YATING
- Alternative Author(s)
- 왕아정
- Advisor(s)
- 강형구
- Issue Date
- 2022. 8
- Publisher
- 한양대학교
- Degree
- Master
- Abstract
- This paper uses the financial and accounting data to evaluate all listed companies in the information technology industry in China in 2021 by using the Comparable Firm-Finding Algorithm method. The information technology industry is characterized by light assets and high growth. Comparable Firm-Finding Algorithm (CFFA), which is based on regression analysis, includes the Comparable Company Analysis (CCA) as a special case. The CFFA method calculates a weighted average across peer companies by obtaining data on resources and capabilities. The result is more reliable than simply obtaining the average or median in CCA. This research provides practical evidence for the application of CFFA in the valuation of information technology industry.
- URI
- http://hanyang.dcollection.net/common/orgView/200000627847https://repository.hanyang.ac.kr/handle/20.500.11754/174827
- Appears in Collections:
- GRADUATE SCHOOL[S](대학원) > BUSINESS ADMINISTRATION(경영학과) > Theses (Master)
- Files in This Item:
There are no files associated with this item.
- Export
- RIS (EndNote)
- XLS (Excel)
- XML