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Chinese large logistics enterprises have carried out the business of pledge by warehouse receipts for more than ten years while many problems emerged in the process of business implementation. A lot of risks such as customer credit risk, the risk of bad delivery and regulatory risk have emerged in the business. In particular, customer credit risk is very important. Therefore, it is necessary to study...
Based on the analysis of current situations of logistics finance of SMEs in China, existing problems, such as environmental risk, pledge risk, operational risk of financial institutions, management risk of logistics enterprises, are analyzed, countermeasures are proposed. The result show that to strengthen risk management of SMEs in China, should build a good legal framework for preventing risks;...
Using a cross-sectional logistic regression model and economic value added index, this paper explores the motive and value creation of mergers and acquisitions. The results indicate that an increase in market value and economic value added will increase a firm's likelihood to engage in takeover transactions because of high level of managerial ability and low agency cost, while increasing in asset-liability...
Assessing the third-party payment risk is to use scientific methods and forecast risk, which could provide executive scientific basis. Qualitative analysis and quantified analysis are dialectical and unified. To analyze the third-party payment risk assessment with the methods of AHP and vague general evaluation model, the third-party payment business is showed as an example for research. The conclusions...
In order to investigate the global financial crisis's impact on logistics industry quantitatively, this paper selects 10 logistics listed companies respectively from China and US stock market as samples, calculates the default distances of the companies based on KMV model which is first proposed by US KMV company, analyzes the trend of credit risk change from the third quarter of 2008 to the third...
The significant growth of financial institutions' concerns on consumer credit has resulted in a greater demand of classifying applicants into “good” and “bad” risk categories. Logistic regression has widely been employed as a mainstream approach to identify qualified consumers. The performance is, however, inevitably undermined by inappropriate/inconsistent samples. Self-organizing maps, which is...
In recent years, as a newly developed finance derivative, the movable estate pledge business is rapidly popular in china. It is a solution to samll and medium-sized enterprises' difficulty in getting funds from banks, but it also brings some special risks such as safekeeping risk, price risk as well as moral risk. A new credit risk management model is described in this paper. By using advanced computer...
It is necessary for logistics company's credit risk evalution-makers to comprehensively measure many qualitative and quantitative factors, but theses factors are difficult to evalut. This paper establishes a two-level index system of logistics company's credit risk, which consists of company quality index, supervision capaity index, hardware condition index, credit condtion index. The higher-level...
The global financial crisis in 2007 made the companies' competition environment and operation condition more hardly. As an important part of enterprise risk management, financial evaluation has also attracted more attention from scholars. The paper used PCA and logistic regression modeling comprehensively to create a listed company's financial evaluation model. It used PCA to reduce dimension of financial...
Credit scoring using predictive models can help in the process of assessing credit worthiness during the credit evaluation process. The objective of credit scoring models is to assign credit risk score to determine if a customer is likely to default on the financial obligation. Construction of credit scoring models requires data mining techniques. Using historical data on payments, demographic characteristics...
Logistics finance can not only solve manufacturing firm bottleneck problem of financing, promoting third party logistics enterprise service development, but also provide the condition for banking industry's financial innovation. While this kind of emerging service gives many benefits to the commercial bank, it brings certain credit risk to them. The article has analyzed the factors that influence...
The ability of pledge liquidation is essential to logistics finance risk control. In the process of evaluating the ability of pledge liquidation, the price stabilization of pledge is what should be mostly considered. VaR (Value at Risk) methodology is an effective measuring method to determine risks in the field of financial risk management. Quantitative analysis of risk degree caused by price fluctuation...
Credit risk assessment of companies has been an important part of the study on risk management for a long time, especially for the default risk of companies with a high liability-to-asset rate. In this paper, we use factor analysis method to establish a logistic regression model and make an empirical analysis on the credit risk of listed companies of Capital-Intensive Industries. The results show...
Western risk management theory suggests that corporate risk management is due to tax convexity, financial distress costs, under investment problem, and managerial risk aversion etc. This paper provides evidence on the determinants of corporate risk management policies through hedging. Data on hedging are obtained from 2007 annual reports for a sample of 1151 China non financial listed firms. Our evidence...
In this paper, we evaluated and contrasted several classifiers for credit scoring in the mobile environment. Taking into account the features of mobile environment, the classification performance is assessed by the precision and the area under Roc curve. Naive Credal Classifier is also introduced to deal with incomplete credit datasets in the mobile environment.
Financial crisis early warning analysis is important for enterprises, commercial banks and various investors. The aim of my study was to determine if the Logistic multi-regression model enhances the efficiency veracity of financial crisis early warning. In this thesis, the author choose 63 A stock companies, which are marked ST companies because of abnormal financial standing in Shanghai and Shenzhen...
Corporate governance is a significant factor that would influence business operation and financial risk, and therefore an empirical study about the early forecasting model and its effect combining the corporate governance indexes is very necessary. The paper select some quantitative variables from ownership structure, corporate governance and the major transaction events to examine the relationship...
Based on the study of irrational managers in behavioral corporate finance, this paper proposes a financing decision-making model by the construction of investors' rationality and analysis to managers' risk-aversion. Measuring managerial risk aversion under behavioral corporate finance paradigm according to risk aversion index, this paper analyzes the financing behavior of risk-averse managers by means...
Building an accurate credit scoring model is very important to predict effectively the creditworthiness of new customers. Neural networks and genetic algorithm are suitable for building highly predictive credit scoring model, but the lack of transparency of these methods is a major drawback. On the other hand the main advantage of fuzzy models is their ability to describe the behavior of systems with...
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