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A comprehensive resource that provides the basic concepts of electric power systems, microeconomics, and optimization techniques Electricity Markets: Theories and Applications offers students and practitioners a clear understanding of the fundamental concepts of the economic theories, particularly microeconomic theories, as well as information on some advanced optimization methods of electricity markets. The authors—noted experts in the field—cover the basic drivers for the transformation of the electricity industry in both the United States and around the world and discuss the fundamentals of power system operation, electricity market design and structures, and electricity market operations. The text also explores advanced topics of power system operations and electricity market design and structure including zonal versus nodal pricing, market performance and market power issues, transmission pricing, and the emerging problems electricity markets face in smart grid and micro-grid environments. The authors also examine system planning under the context of electricity market regime. They explain the new ways to solve problems with the tremendous amount of economic data related to power systems that is now available. This important resource: Introduces fundamental economic concepts necessary to understand the operations and functions of electricity markets Presents basic characteristics of power systems and physical laws governing operation Includes mathematical optimization methods related to electricity markets and their applications to practical market clearing issues Electricity Markets: Theories and Applications is an authoritative text that explores the basic concepts of the economic theories and key information on advanced optimization methods of electricity markets. Получить ссылку |
Be a Sales Superstar. 21 Great Ways to Sell More, Faster, Easier in Tough Markets
Автор: Брайан Трейси
Год издания:
Brian Tracy shares the most important principles for sales success he has discovered in 30 years of training more than a half million sales professionals in 23 countries. Based on Tracy’s detailed discussions with top salespeople and his keen observation of their methods, as well as his own experiences as a record-breaking salesman, these guidelines address both the inner game of selling—the mental component—and the outer game of selling—the methods and techniques of actually making the sale. Concise and action-oriented, Be a Sales Superstar is a handbook for busy sales professionals, providing key ideas and techniques that will immediately increase your effectiveness and boost your results. Brian Tracy shows you how to: • Get more and better appointments, easier; • Build high rapport in the first few minutes; • Make better, more effective sales presentations • Close more sales faster than ever before Apply Tracy’s 21 great ways to be a superstar salesperson, and your success in selling will become unlimited.
Bayesian Risk Management. A Guide to Model Risk and Sequential Learning in Financial Markets
Автор: Matt Sekerke
Год издания:
A risk measurement and management framework that takes model risk seriously Most financial risk models assume the future will look like the past, but effective risk management depends on identifying fundamental changes in the marketplace as they occur. Bayesian Risk Management details a more flexible approach to risk management, and provides tools to measure financial risk in a dynamic market environment. This book opens discussion about uncertainty in model parameters, model specifications, and model-driven forecasts in a way that standard statistical risk measurement does not. And unlike current machine learning-based methods, the framework presented here allows you to measure risk in a fully-Bayesian setting without losing the structure afforded by parametric risk and asset-pricing models. Recognize the assumptions embodied in classical statistics Quantify model risk along multiple dimensions without backtesting Model time series without assuming stationarity Estimate state-space time series models online with simulation methods Uncover uncertainty in workhorse risk and asset-pricing models Embed Bayesian thinking about risk within a complex organization Ignoring uncertainty in risk modeling creates an illusion of mastery and fosters erroneous decision-making. Firms who ignore the many dimensions of model risk measure too little risk, and end up taking on too much. Bayesian Risk Management provides a roadmap to better risk management through more circumspect measurement, with comprehensive treatment of model uncertainty.
The Most Dangerous Trade. How Short Sellers Uncover Fraud, Keep Markets Honest, and Make and Lose Billions
Автор: Richard Teitelbaum
Год издания:
How short sellers profit from disasters that afflict individuals, markets, and nations The Most Dangerous Trade serves up tales from the dark side of the world marketplace to reveal how traders profit from the failure and, often, the financial ruin of others. In this book Richard Teitelbaum profiles more than a dozen short sellers to reveal how they employ the tactics, strategies, and various styles to zero in on their target, get the needed financing, and see their investment through to its ultimate conclusion. The short sellers profiled will include stories of both their successful investments as well as their disastrous ventures. The book will examine the different styles, strategies, and tactics utilized, looking at how each short seller researches his or her targets, obtains financing, puts on a trade, and sees the investment through to fruition—or failure. With the appeal of a well-written adventure novel, The Most Dangerous Trade reveals how these investors seek publicity to help drive down a stock and shows the often bitter and controversial battles that ensue. Includes profiles of well-know short sellers such as Jim Chanos, Steve Eisman, Manuel Ascencio, Doug Kass, and many more Discover how short sellers make the «puts» that make them billions Uncover the short selling controversies that make headlines Written by award-winning journalist Richard Teitelbaum Discover what motivates investors who wager against the stock market and how they often profit from the misery of others.
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