One of the few books on the subject, Country Risk Assessment combines the theoretical and practical tools for managing international country risk exposure. - Offers a comprehensive discussion of the specific mechanisms that apply to country risk assessment. - Discusses various techniques associated with global investment strategy. - Presents and analyses the various sources of country risk. - Provides an in depth coverage of information sources and country risk service providers. - Gives techniques for forecasting country financial crises. - Includes practical examples and case studies. - Provides a comprehensive review of all existing methods including the techniques on the cutting-edge Market Based Approaches such as KMV, CreditMetrics, CountryMetrics and CreditRisk+.
Explains arbitrage, hedging, and speculation from the standpoint of a participant in the foreign exchange market—whether an individual trader or an institutional trader—who possesses analytical skill, economically sound judgment, and who has access to market data. In the foreign exchange market, arbitrage involves the simultaneous purchase and sale of a currency in different markets; the profit comes from the difference in the buying and selling prices. Hedging and speculation are opposing strategies for dealing with risk; hedging is a cover, and speculation is an assumption of risk. Authors also discuss futures, swaps, forward contracts, and other strategies. For financial scholars, students, analysts, and currency traders.
This book provides an overview of computer techniques and tools — especially from artificial intelligence (AI) — for handling legal evidence, police intelligence, crime analysis or detection, and forensic testing, with a sustained discussion of methods for the modelling of reasoning and forming an opinion about the evidence, methods for the modelling of argumentation, and computational approaches to dealing with legal, or any, narratives. By the 2000s, the modelling of reasoning on legal evidence has emerged as a significant area within the well-established field of AI & Law. An overview such as this one has never been attempted before. It offers a panoramic view of topics, techniques and tools. It is more than a survey, as topic after topic, the reader can get a closer view of approaches and techniques. One aim is to introduce practitioners of AI to the modelling legal evidence. Another aim is to introduce legal professionals, as well as the more technically oriented among law enforcement professionals, or researchers in police science, to information technology resources from which their own respective field stands to benefit. Computer scientists must not blunder into design choices resulting in tools objectionable for legal professionals, so it is important to be aware of ongoing controversies. A survey is provided of argumentation tools or methods for reasoning about the evidence. Another class of tools considered here is intended to assist in organisational aspects of managing of the evidence. Moreover, tools appropriate for crime detection, intelligence, and investigation include tools based on link analysis and data mining. Concepts and techniques are introduced, along with case studies. So are areas in the forensic sciences. Special chapters are devoted to VIRTOPSY (a procedure for legal medicine) and FLINTS (a tool for the police). This is both an introductory book (possibly a textbook), and a reference for specialists from various quarters.
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