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This article clarifies the logistics enterprise's trade credit risk, demonstrates and comments a typical practice case in China. A dynamic trade credit management system model combining outsourced credit monitor and self-adaptive assessment is proposed. Special attention is given to the application prospects of big data in related researches and practices in future.
Solving L2-regularized empirical risk minimization (e.g., linear SVMs and logistic regression) using multiple cores has become an important research topic. Among all the existing algorithms, Parallel ASynchronous Stochastic dual Co-Ordinate DEscent (PASSCoDe) demonstrates superior performance compared with other methods. Although PASSCoDe is fast when it converges, the algorithm has been observed...
Convergence development between logistics industry and related industries has been a general trend, but there are many risks in the Convergence process. Logistics real estate is typical form integrated by logistics industry and estate industry; there still exist many potential risks in its development process. The paper begins with analyzing the risk factors and built risk index system based on logistics...
This paper makes a practical contribution to classification in credit risk assessment by providing empirical evidence on which class distribution in the training sample should be used to maximize performance of different classification algorithms. Data used for credit risk assessment are often imbalanced due to the number of defaulting clients, who represent the minority class, being much less numerous...
The development of complex system, such as complex ship or warship, usually contains concurrent, iterative and coupling processes. Based on multi-resolution modeling, this paper presents a new approach for analysis and organization in Integrated Logistic Support (ILS). At high system level, a macro low resolution model is presented by System Dynamics, indicating whole relationship between life cycle...
Small and medium-sized enterprises play a very important role in China's economic and social development. Their development is inseparable from the financial support, and the development of credit business is also an important aspect of bank's operation. At the time of solving the problem of financing difficulties of small and medium-sized enterprises, how to manage credit risk will become an important...
In this paper, the main purpose was to establish diabetes risk assessment model as well as its implementation and application. Intervention to prevent type 2 diabetes should be directed toward individuals at increase risk for the disease. Therefore, we developed the diabetes risk score system. According to the study of residents' health census data in Liao-Shen area including the diabetics and non-diabetics,...
Identifying risks relevant to a software project and planning measures to deal with them are critical to the success of the project. Current practices in risk assessment mostly rely on high-level, generic guidance or the subjective judgements of experts. In this paper, we propose a novel approach to risk assessment using historical data associated with a software project. Specifically, our approach...
Financial disasters in private firms led to increased emphasis on various forms of risk management, to include market risk management, operational risk management, and credit risk management. Financial institutions are motivated by the need to meet increased regulatory requirements for risk measurement and capital reserves. This paper describes and demonstrates a model to support risk management of...
Extreme value theory (EVT) is the theory of modelling and measuring events which occur with very small probability. This implies its usefulness in risk modelling as risky events happen with low probability. In our study, we have focused on the prices of Gold and Silver which have been one of the preferred investments over the centuries. Initially, univariate analysis is carried out to model the extreme...
In the recent years, hundreds to thousands of people have been killed in many calamities across Asian region, such as tsunami, floods, earthquake and so on. These natural disasters have become great challenges, particularly to those developing countries as many are lacking of an efficient disaster management system and disaster recovery plan that will help in times of need. Among the common challenges...
Ports all over the world faced a lot of challenges in daily operation. These challenges lead to risk and adverse effects to the companies. The management, the culture of the company and the risk item being faced constitute the difference in focuses when making the corresponding responses. This paper aims to reveal the effect of such factors on the decision making process in operational risk management...
Nowadays organizations in the business world and government apply technology to improve its internal business process. One phase of the business process is logistics. Seaports, as one of the centers of logistic flows in a country, contain a wide range of problems in its internal processes. The seaport is a place that connects logistic distribution between city and country ports. By viewing distribution...
In order for third-party logistics (3PL) relationships to continue to provide strategic and operational value and innovative ways to improve logistics effectiveness, there is a need for the proper planning and management of these relationships. Heightened service requirements, demand for higher expertise, globalization expansion pressures, and a need for shared risk-reward arrangements are some of...
In our study we apply the principal-agent model to study credit contract proposed by banks to motivate third-party logistics firms (TPL) and consider supervision as an important variable. Our results indicate that when supervision is introduced into contract, TPL can be motivated to work more efficiently. In particular, we give bank' efficient supervision set and bank can be better off by keeping...
Financial information that has being deteriorated by fraud will misled users. Hence, the main objective of this paper is to identify the association between five ratios of financial reporting risks to predict fraud. Furthermore, this paper also investigates the impacts of fraud detection on audit fee. Thus, sample of 10 of fraudulent companies and sample of 40 non fraudulent companies are being identified...
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...
To stabilize the supply and look for new profit growth point, many large and medium shipping enterprises develop logistics actively through establishing logistics strategic alliances. Based on the systematic analysis of risks about the logistics strategic alliance and its influencing factors, the paper discussed how to apply risk matrix in the risk assessment of logistics strategic alliance, developed...
The credit assessment of high-tech small and medium-sized enterprises is important and crucial to develop investment needs and improve financing channels.Based on the characteristics of high-tech small and medium-sized enterprises and their credit risk, build a credit risk model using Kalman filter. The results show that the Kalman filter model has a very credible prediction and generalization ability.
Road freight industry undertaking cold chain logistics, shows enterprises an opportunity for enabling a rapid promotion to modern logistics industries, expanding the scope of commercial services, and benefiting their developments. For the special requirements of cold chain logistics, road freight transport companies must know and recognize the risks (existing or potential one) of cold chain logistics...
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