| Author: | Feng, Shuo |
| Title: | Studies on risk management of logistics banking business in China |
| Advisors: | Lai, Mike (LMS) |
| Degree: | Ph.D. |
| Year: | 2023 |
| Subject: | Banks and banking -- China Risk management Hong Kong Polytechnic University -- Dissertations |
| Department: | Department of Logistics and Maritime Studies |
| Pages: | 150 pages : color illustrations |
| Language: | English |
| Abstract: | The globalization of logistics banking chain management and the advocacy of the Belt and Road Initiative in China moving forward, logistics banking business as a financial instrument promotes the innovation and improvement of a cooperation among commercial banks, logistics enterprises, and trading enterprises. Commercial banks provide the comprehensive financing and settlement services to enterprises and one or more trading links in the logistics banking chain, by taking the pledge of commodities that are in active demand, stable in price, strong in liquidity, and satisfied in the requirements of pledge, and supervise the capital flow and risks via logistics information management systems. Credit risks, as the measurement of risks, faced by the logistics banking business system should be identified, measured, and controlled so that banks are able to keep profit. The research analyzes the credit risks in three studies from three aspects, pre-loan, in-loan, and post-loan periods through the studies as followed. Pre-loan study analyzes the impacts of macroeconomic and political factors on the credit risks of banks in logistics banking business with statistical analysis and empirical examination. The statistic of macroeconomic condition and policy gives a basic view of the macro-circumstance of logistics banking business. In the empirical analysis, the Panel Smooth Transition Regression is applied to draw the effects of macroeconomic policy, especially monetary policy in the study on bank risks. This study is to reveal the nonlinearity in monetary-policy and bank-risk nexus, and to examine the statue of the impact on bank risks. In-loan study explores the measurement model of default risks of logistics banking business in the case of the pledge financing. By VaR methods, the study reveals the condition of risk control. Default risk usually consists of endogenous factors and exogenous factors. The previous study discusses the bank credit risk caused by corporate defaults caused by external macro factors. This study discusses the endogeneity of default. And the study consider adjusts the factors of enterprise operation characteristics in analysis in order to keep the robustness of the system for the next study. Post-loan study tests the long-term risks in logistics banking business after loan. This study is a supplement of risk measurement through VaR methods. It firstly focuses on the pro-cyclical effect and the ownership-allocation impact in logistics banking business as a basic description for the next long-term stress testing. This study proves that the different loan quotas provided by banks to enterprises are based on the different allocation of ownership. Then the study examines whether the ownership discrimination causes the influence from the allocation of assets on the credit risks via Stress Testing. By this study, the root cause of credit risk in logistics banking business is presented, which helps banks to select objects to lend and to control risk costs. The studies together explore the risks of the logistics banking business in different aspects. The research contributes knowledge to the literature by the systematical explanation of the formation of risks and provide evidence to measure the risks in practical logistics banking business projects. |
| Rights: | All rights reserved |
| Access: | open access |
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