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Hundreds of financial institutions now market complex derivatives; thousands of financial and technical professionals need to model them accurately and effectively. This volume brings together proven, tested real-time models for each of todays leading modeling platforms to help professionals save months of development time, while improving the accuracy and reliability of the models they create.
" This book examines the implications of pervasive computing from an operational, legal and ethical perspective, so that current and future e-business managers can make responsible decisions about where, when and how to use this technology"--Provided by publisher.
Risk Analysis concerns itself with the quantification of risk, the modeling of identified risks and how to make decisions from those models. Quantitative risk analysis (QRA) using Monte Carlo simulation offers a powerful and precise method for dealing with the uncertainty and variability of a problem. By providing the building blocks the author guides the reader through the necessary steps to produce an accurate risk analysis model and offers general and specific techniques to cope with most modeling problems. A wide range of solved problems is used to illustrate these techniques and how they can be used together to solve otherwise complex problems.
Essential insights on the various aspects of financial derivatives If you want to understand derivatives without getting bogged down by the mathematics surrounding their pricing and valuation, Financial Derivatives is the book for you. Through in-depth insights gleaned from years of financial experience, Robert Kolb and James Overdahl clearly explain what derivatives are and how you can prudently use them within the context of your underlying business activities. Financial Derivatives introduces you to the wide range of markets for financial derivatives. This invaluable guide offers a broad overview of the different types of derivatives-futures, options, swaps, and structured products-while focusing on the principles that determine market prices. This comprehensive resource also provides a thorough introduction to financial derivatives and their importance to risk management in a corporate setting. Filled with helpful tables and charts, Financial Derivatives offers a wealth of knowledge on futures, options, swaps, financial engineering, and structured products. Discusses what derivatives are and how you can prudently implement them within the context of your underlying business activities Provides thorough coverage of financial derivatives and their role in risk management Explores financial derivatives without getting bogged down by the mathematics surrounding their pricing and valuation This informative guide will help you unlock the incredible potential of financial derivatives.
What drives innovation and entrepreneurship in India, China, and the United States? Our data-rich and evidence-based exploration of relationships among innovation, entrepreneurship, and economic growth yields theoretical models of economic growth in the context of macroeconomic factors. Because we know far too little about the key characteristics of Chinese and Indian entrepreneurs and the ways they innovate, our balanced, systematic comparison of entrepreneurship and innovation results in a new approach to looking at economic growth that can be used to model empirical data from other countries. The importance of innovation and entrepreneurship to any economy has been recognized since the pioneering work of Joseph Schumpeter. Our analysis of the major factors that affect innovation and entrepreneurship in these three parts of the world – US, China and India –provides a comprehensive view of their effects and their likely futures. - Looks at elements important for innovation and entrepreneurship and compares them against each other within the three countries - Places theoretical modeling of economic growth in the context of the overall macroeconomic factors - Explores questions about the relationships among innovation, entrepreneurship and economic growth in China, India and the US
This book contains the papers presented at two conferences organized by the Wessex Institute of Technology. The first conference is the Seventh International Conference on Computer Simulation in Risk Analysis and Hazard Mitigation, being held in Algarve, Portugal, September 13-15. This biennial conference is the latest in a successful series that began in 1998 and that includes many practical applications, demonstrating how to analyze and manage risk and mitigate hazards. The applications cover man-made as well as natural hazards, the importance of which is becoming increasingly evident in our modern world. These problems have become a priority for all governments, as well as a cause for public concern. The second conference is the Fifth International Conference on Prevention, Assessment, Rehabilitation and Development of Brownfield Sites, also being held in Algarve, September 14-16. The biennial conference was first held in 2002 and covers the challenges the public and private sectors must face in seeking to reuse brownfield sites and to capitalize on the opportunities.
We have been witnessing huge competition among the organisations in the business world. Companies, NGO's and governments are looking for innovative ways to compete in the global tourism market. In the classical literature of business the main purpose is to make a profit. However, if purpose only focus on the profit it will not to be easy for them to achieve. Nowadays, it is more important for organisations to discover how to create a strong strategy in order to be more competitive in the marketplace. Increasingly, organisations have been using innovative approaches to strengthen their position. Innovative working enables organisations to make their position much more competitive and being much more value-orientated in the global tourism industry. In this book, we are pleased to present many papers from all over the world that discuss the impact of tourism business strategies from innovative perspectives. This book also will help practitioners and academician to extend their vision in the light of scientific approaches.
This four-volume handbook covers important topics in the fields of investment analysis, portfolio management, and financial derivatives. Investment analysis papers cover technical analysis, fundamental analysis, contrarian analysis, and dynamic asset allocation. Portfolio analysis papers include optimization, minimization, and other methods which will be used to obtain the optimal weights of portfolio and their applications. Mutual fund and hedge fund papers are also included as one of the applications of portfolio analysis in this handbook.The topic of financial derivatives, which includes futures, options, swaps, and risk management, is very important for both academicians and partitioners. Papers of financial derivatives in this handbook include (i) valuation of future contracts and hedge ratio determination, (ii) options valuation, hedging, and their application in investment analysis and portfolio management, and (iii) theories and applications of risk management.Led by worldwide known Distinguished Professor Cheng Few Lee from Rutgers University, this multi-volume work integrates theoretical, methodological, and practical issues of investment analysis, portfolio management, and financial derivatives based on his years of academic and industry experience.
This advanced textbook for business statistics teaches, statistical analyses and research methods utilizing business case studies and financial data with the applications of Excel VBA, Python and R. Each chapter engages the reader with sample data drawn from individual stocks, stock indices, options, and futures. Now in its second edition, it has been expanded into two volumes, each of which is devoted to specific parts of the business analytics curriculum. To reflect the current age of data science and machine learning, the used applications have been updated from Minitab and SAS to Python and R, so that readers will be better prepared for the current industry. This second volume is designed for advanced courses in financial derivatives, risk management, and machine learning and financial management. In this volume we extensively use Excel, Python, and R to analyze the above-mentioned topics. It is also a comprehensive reference for active statistical finance scholars and business analysts who are looking to upgrade their toolkits. Readers can look to the first volume for dedicated content on financial statistics, and portfolio analysis.