Precious Metals Investing For Dummies (posted by hidden-science Free Downloadable Books|BSCS|programming|books|BCS|physics|calculus|Free Books|Free ebooks) :

Precious Metals Investing For Dummies

Product Description
In recent years, metals have been among the safest and most lucrative investments around, but they are not entirely risk free. Before you begin investing or trading in metals, you need authoritative information and proven investment strategies. You need Precious Metal Investing For Dummies.

This straightforward guide eases you into the precious metals market with sound advice on trading and owning these profitable investments, including gold, silver, platinum, and uranium, as well as high-demand base metals such as zinc and copper. You’ll learn how to research their market performance and choose among an array of proven trading plans and strategies. Plus, you’ll get savvy advice on how to choose a broker, buy stocks and futures that involve metals, maximize your investment return, and minimize your risk. Discover how to:

• Evaluate the different metals
• Add metals to your portfolio
• Decide whether you’re an investor or a trader
• Identify your metal-investment goals
• Weigh the risks and benefits of metals investing
• Buy physical metals
• Use technical analysis to evaluate opportunities
• Make long-term investments in precious metals
• Diversify your metals investments
• Analyze base-metals companies
• Purchase numismatic coins
• Add metals to your mutual fund or ETF portfolio
• Understand how politics effects metals prices

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The Project Manager’s MBA: How to Translate Project Decisions into Business Success (posted by hidden-science Free Downloadable Books|BSCS|programming|books|BCS|physics|calculus|Free Books|Free ebooks) :

Project managers are no longer judged by the technical success of their projects alone. They’re also held accountable for their contributions to the company’s financial goals. Yet most project managers don’t have the business knowledge necessary to make project-based decisions that lead to bottom-line success. In this book, Dennis Cohen and Robert Graham, both former university professors and experienced project management consultants, provide the skills that, until now, could only be gained through a graduate degree and years of hands-on experience.

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Computational Intelligence in Economics and Finance Volume II:

Computational Intelligence in Economics and Finance Volume II

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Computational intelligence (CI), as an alternative to statistical and econometric approaches, has been applied to a wide range of economics and finance problems in recent years, for example to price forecasting and market efficiency.

This book contains research ranging from applications in financial markets and business administration to various economics problems. Not only are empirical studies utilizing various CI algorithms presented, but so also are theoretical models based on computational methods. In addition to direct applications of computational intelligence, readers can also observe how these methods are combined with conventional analytical methods such as statistical and econometric models to yield preferred results.

Chen, Wang, and Kuo have grouped the 12 contributions following their introductory chapter into applications of fuzzy logic, neural networks (including self-organizing maps and support vector machines), and evolutionary computation. All chapters were selected either by invitation or based on a careful selection and extension of best papers from the International Workshop on Computational Intelligence in Economics and Finance in 2005. Overall, the book offers researchers an excellent overview of current advances and applications of computational intelligence techniques to economics and finance problems.

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Applications of Artificial Intelligence in Finance and Economics:

Applications of Artificial Intelligence in Finance and Economics

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Artificial intelligence is a consortium of data-driven methodologies which includes artificial neural networks, genetic algorithms, fuzzy logic, probabilistic belief networks and machine learning as its components. We have witnessed a phenomenal impact of this data-driven consortium of methodologies in many areas of studies, the economic and financial fields being of no exception. In particular, this volume of collected works will give examples of its impact on the field of economics and finance. This volume is the result of the selection of high-quality papers presented at a special session entitled ‘Applications of Artificial Intelligence in Economics and Finance’ at the ‘2003 International Conference on Artificial Intelligence’ (IC-AI ‘03) held at the Monte Carlo Resort, Las Vegas, Nevada, USA, June 23-26 2003. The special session, organised by Jane Binner, Graham Kendall and Shu-Heng Chen, was presented in order to draw attention to the tremendous diversity and richness of the applications of artificial intelligence to problems in Economics and Finance. This volume should appeal to economists interested in adopting an interdisciplinary approach to the study of economic problems, computer scientists who are looking for potential applications of artificial intelligence and practitioners who are looking for new perspectives on how to build models for everyday operations.

There are still many important Artificial Intelligence disciplines yet to be covered. Among them are the methodologies of independent component analysis, reinforcement learning, inductive logical programming, classifier systems and Bayesian networks, not to mention many ongoing and highly fascinating hybrid systems. A way to make up for their omission is to visit this subject again later. We certainly hope that we can do so in the near future with another volume of ‘Applications of Artificial Intelligence in Economics and Finance’.

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Perception-based Data Mining and Decision Making in Economics and Finance:

Perception-based Data Mining and Decision Makingin Economics and Finance

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The primary goal of this book is to present to the scientific and management communities a selection of applications using recent Soft Computing (SC) and Computing with Words and Perceptions (CWP) models and techniques meant to solve some economics and financial problems that are of utmost importance. The book starts with a coverage of data mining tools and techniques that may be of use and significance for economic and financial analyses and applications.Notably, fuzzy and natural language based approaches and solutions for a more human consistent dealing with decision support, time series analysis, forecasting, clustering, etc. are discussed. The second part deals with various decision making models, particularly under probabilistic and fuzzy uncertainty, and their applications in solving a wide array of problems including portfolio optimization, option pricing, financial engineering, risk analysis etc. The selected examples could also serve as a starting point or as an opening out, in the SC and CWP techniques application to a wider range of problems in economics and finance.

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International Economics: Theory and Policy (6th Edition):

# Publisher: Addison Wesley; 6 edition (July 26, 2002)

# Language: English

# ISBN-10: 0201770377

# ISBN-13: 978-0201770377

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