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Operational Risk Management in Container Terminals
This book provides an overview of the operation of container terminals and the associated risks with such operations. These risks are often ignored or not properly investigated by both scholars and practitioners. Operational Risk Management in Container Terminals explores and discusses the decision rationales and the consequences for these operational risks handling process, with in-depth investigation on the container terminals in the Asia-Pacific region. The topics covered include the history and development of the container terminals, the operation of the terminals and risk incurred, the risk-management theories and concepts, rationales and consequences of the risk decisions in the container terminal operations, common practices and recommendations on terminal operational risk handling.
Strategies for Supply Chain Risk Management
Examining the negative consequences that arise from supply chain risks, this book systematically explores firms’ responses to these risks in different situations. In particular, it focuses on sourcing strategies of firms under supply chain risks and the different mitigation tools they use, such as supplier development and multisourcing. Supply chains have expanded extensively because many firms try to take advantage of outsourcing of their raw materials and critical components. Though firms can reap significant benefits due to the widespread use of outsourcing, they have to deal with increasing supply chain risks. In general, supply chain risks are various and may be originated from natural disasters, labor strikes, fires, and so on. These risk incidents can cause serious damage to firms’ profit performance. The analysis and insights from this book can be utilized by firms to alleviate the impact of supply chain risks in the sourcing process. It will also be of interest to researchers and students studying supply chain management.
Gold and International Finance
This book describes the history of gold as a financial instrument and discusses gold exchanges in the major markets. It also describes the history of the Chinese Gold & Silver Exchange Society (CGSE), its current organizational structure and membership registration system. The book also includes the development and growth of the gold market in Hong Kong and the role played by CGSE in the growth of the Chinese gold market. It includes a brief description of the CGSE in the twenty-first century – its current role and what it may play in the future. The book explains factors that influence gold price and the mechanism of price formulation. It also describes the historic trends in the demand a...
Data Mining and Knowledge Management
criteria linear and nonlinear programming has proven to be a very useful approach. • Knowledge management for enterprise: These papers address various issues related to the application of knowledge management in corporations using various techniques. A particular emphasis here is on coordination and cooperation. • Risk management: Better knowledge management also requires more advanced techniques for risk management, to identify, control, and minimize the impact of uncertain events, as shown in these papers, using fuzzy set theory and other approaches for better risk management. • Integration of data mining and knowledge management: As indicated earlier, the integration of these two re...
Science & Technology in China: A Roadmap to 2050
China’s modernization is viewed as a transformative revolution in the human history of modernization. As such, the Chinese Academy of Sciences (CAS) decided to give higher priority to the research on the science and technology (S&T) roadmap for priority areas in China’s modernization process. What is the purpose? And why is it? Is it a must? I think those are substantial and signifcant questions to start things forward. Significance of the Research on China’s S&T Roadmap to 2050 We are aware that the National Mid- and Long-term S&T Plan to 2020 has already been formed afer two years’ hard work by a panel of over 2000 experts and scholars brought together from all over China, chaired ...
Emerging Financial Derivatives
Exotic options and structured products are two of the most popular financial products over the past ten years and will soon become very important to the emerging markets, especially China. This book first discusses the products' recent development in the world and provides comprehensive overview of the major products. The book also discusses the risks of issuing and buying such products as well as the techniques to price them and to assess the risks. Volatility is the most important factor in determining the return and risk. Therefore, significant part of the book's content discusses how we can measure the volatility by using local and stochastic volatility models — Heston Model and Dupire...
History of South Dynasty
The Twenty-Four Histories (Chinese: 二十四史) are the Chinese official historical books covering a period from 3000 BC to the Ming dynasty in the 17th century. The Han dynasty official Sima Qian established many of the conventions of the genre. Starting with the Tang dynasty, each dynasty established an official office to write the history of its predecessor using official court records. As fixed and edited in the Qing dynasty, the whole set contains 3213 volumes and about 40 million words. It is considered one of the most important sources on Chinese history and culture. The title "Twenty-Four Histories" dates from 1775 which was the 40th year in the reign of the Qianlong Emperor. This ...
Artificial Intelligence in Asset Management
Artificial intelligence (AI) has grown in presence in asset management and has revolutionized the sector in many ways. It has improved portfolio management, trading, and risk management practices by increasing efficiency, accuracy, and compliance. In particular, AI techniques help construct portfolios based on more accurate risk and return forecasts and more complex constraints. Trading algorithms use AI to devise novel trading signals and execute trades with lower transaction costs. AI also improves risk modeling and forecasting by generating insights from new data sources. Finally, robo-advisors owe a large part of their success to AI techniques. Yet the use of AI can also create new risks and challenges, such as those resulting from model opacity, complexity, and reliance on data integrity.
In Search of Information: Use of Google Trends’ Data to Narrow Information Gaps for Low-income Developing Countries
Timely data availability is a long-standing challenge in policy-making and analysis for low-income developing countries. This paper explores the use of Google Trends’ data to narrow such information gaps and finds that online search frequencies about a country significantly correlate with macroeconomic variables (e.g., real GDP, inflation, capital flows), conditional on other covariates. The correlation with real GDP is stronger than that of nighttime lights, whereas the opposite is found for emerging market economies. The search frequencies also improve out-of-sample forecasting performance albeit slightly, demonstrating their potential to facilitate timely assessments of economic conditions in low-income developing countries.
