Abstract
In recent years, China's rapid economic development has been accompanied by numerous challenges, particularly in the context of economic restructuring and fluctuations in the real estate market, where the issue of non-performing assets (NPAs) has become increasingly prominent. Efficient disposal of NPAs is crucial not only for the healthy operation of financial institutions but also for economic stability and social harmony. Thus, optimizing NPA disposal methods to enhance recovery rates and disposal efficiency has become a focal point for both academia and industry practitioners. As one of China’s four major asset management companies, Financial Asset Management Company has accumulated extensive experience in NPA disposal. Studying Financial Asset Management Company's practical operations and optimization strategies in NPA disposal has significant theoretical value and can serve as a practical reference for other asset management companies.
The core research question of this paper is how to optimize the valuation of NPAs to improve disposal efficiency and asset recovery rates. Specific research questions include: What are the main issues and challenges in the current NPA disposal process? What strategies and measures can optimize NPA valuation methods? To systematically answer these questions, this study employs various research methods, including literature review, case analysis, quantitative analysis, and qualitative analysis, leading to the following conclusions:
The NPA Market's Lack of Equilibrium: Market equilibrium analysis indicates that the key determinant of market type is the future profitability of target assets. The risk cost and price during asset sales determine market types. In China’s current NPA market structure, when the asset holding cost for sellers is low, there is an incentive to sell NPAs at higher prices, leading to overvaluation. To address this, it is essential to enhance information disclosure and market transparency by publishing detailed financial and asset appraisal reports to reduce information asymmetry and improve market efficiency. In a game theory framework, signaling is a critical method to resolve information asymmetry. Financial asset management companies can convey asset quality and value information to bidders through market forecasts, analysis reports, and expert opinions.
Optimization of NPA Valuation Models: This study proposes diversified valuation models and optimization strategies. Traditional valuation methods, such as the cost approach, market approach, and income approach, have limitations in practical application. For instance, the cost approach cannot accurately reflect market changes, the market approach depends on comparable transactions, and the income approach has high uncertainty in future income predictions. These methods often fail to meet the complex and changing market demands. This research introduces an improved hypothetical liquidation method, integrating financial and non-financial factors, and considering market environment, asset characteristics, and future income comprehensively. The model adjusts liquidation assumptions, optimizing the valuation process, and enhancing accuracy and practicality. Empirical studies show that the improved hypothetical liquidation method demonstrates high evaluation accuracy and stability in practice. To further improve valuation accuracy and efficiency, this research incorporates big data and artificial intelligence technologies. By building a comprehensive NPA database and utilizing data analysis and machine learning algorithms, various factors affecting asset value can be automatically identified and analyzed, providing intelligent valuation and disposal recommendations. This approach not only improves valuation accuracy but also significantly shortens the valuation cycle, enhancing overall disposal efficiency.
Case Analysis of Financial Asset Management Company: Financial Asset Management Company has accumulated rich experience in NPA management and disposal. However, there are also challenges in practical operations. Despite having detailed due diligence guidelines, the actual implementation often becomes a formality due to various objective conditions and subjective factors, resulting in severe information asymmetry and increasing risks and uncertainties in asset acquisition and disposal. In asset package acquisition, Financial Asset Management Company's success rate is lower than the market average, while acquisition prices are slightly higher than the market average, indicating valuation and pricing biases that complicate subsequent asset disposal and affect overall disposal effectiveness. Optimizing valuation models and pricing strategies is crucial for enhancing the company's asset management capabilities. Additionally, there are deficiencies in post-investment management. Due to the lack of a systematic post-investment management mechanism, subsequent management and disposal of assets are suboptimal, with long disposal cycles and low returns. Strengthening post-investment management and establishing systematic management mechanisms are vital for improving disposal effectiveness. Currently, Financial Asset Management Company's NPA disposal methods remain relatively traditional, mainly relying on litigation settlement and debt transfer, lacking innovation and flexibility, which limits disposal efficiency and effectiveness. Exploring and introducing new disposal methods, such as asset securitization and NPA funds, is essential for enhancing asset liquidity and market value.