Corporate Value Assessment based on the EVA Model and Relative Valuation

As a risk-averse commodity, gold has seen new development opportunities in retail due to factors (e.g., geopolitical risks and conflicts, economic uncertainties, and inflation). Consequently, more and more investors are focusing on the gold retail industry. Evaluating the value of gold retail enterprises using scientific and effective methods is of great significance to both managers and investors. Therefore, this paper uses Chow Tai Seng, a Chinese gold retail enterprise, as a case study. Based on the company's development characteristics, we employ the EVA absolute valuation method and relative valuation methods including P/E, P/B and P/S ratios for valuation. The study finds that although its EVA values show a general downward trend from 2019 to 2023, they remain positive, indicating that the company's overall development is still on track. The development of enterprise valuation theory has gone through the MM (Modigliani-Miller) theory, Free Cash Flow Valuation Model, and the Capital Asset Pricing Model, among others. These theoretical models have gradually improved, and the theoretical system is continuously evolving. By summarizing and reviewing valuation theories and methods, this paper employs the DDM for valuation and the P/E ratio method under relative valuation based on the company's development characteristics. Combining these two valuation methods with the company's actual financial data and relevant value theories, the company can attract investors and address undervaluation by increasing its exposure through modern multimedia channels and enhancing data transparency.

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Publication Details

Journal
Highlights in Business Economics and Management
Published
2024-09-01
DOI
https://doi.org/10.54097/2ttasr58
Primary Topic
Forecasting Techniques and Applications
Type
article
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article

Corporate Value Assessment based on the EVA Model and Relative Valuation

K. Kong Wan, Taoran Deng, Zhi Ning
Highlights in Business Economics and Management
Forecasting Techniques and Applications
article

Corporate Value Assessment based on the EVA Model and Relative Valuation

K. Kong Wan, Taoran Deng, Zhi Ning
article en

Abstract

As a risk-averse commodity, gold has seen new development opportunities in retail due to factors (e.g., geopolitical risks and conflicts, economic uncertainties, and inflation). Consequently, more and more investors are focusing on the gold retail industry. Evaluating the value of gold retail enterprises using scientific and effective methods is of great significance to both managers and investors. Therefore, this paper uses Chow Tai Seng, a Chinese gold retail enterprise, as a case study. Based on the company's development characteristics, we employ the EVA absolute valuation method and relative valuation methods including P/E, P/B and P/S ratios for valuation. The study finds that although its EVA values show a general downward trend from 2019 to 2023, they remain positive, indicating that the company's overall development is still on track. The development of enterprise valuation theory has gone through the MM (Modigliani-Miller) theory, Free Cash Flow Valuation Model, and the Capital Asset Pricing Model, among others. These theoretical models have gradually improved, and the theoretical system is continuously evolving. By summarizing and reviewing valuation theories and methods, this paper employs the DDM for valuation and the P/E ratio method under relative valuation based on the company's development characteristics. Combining these two valuation methods with the company's actual financial data and relevant value theories, the company can attract investors and address undervaluation by increasing its exposure through modern multimedia channels and enhancing data transparency.

Highlights in Business Economics and ManagementVol. 40
Qingdao University (CN), Beijing Institute of Technology (CN), Dongbei University of Finance and Economics (CN), Beijing Institute of Education (CN)
Industry, innovation and infrastructure
Openalex Percentile: Top 82%
Forecasting Techniques and Applications
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