Fisher Investments on Emerging Markets
Автор: Fisher Investments
Год издания: 0000
The fifth installment of the Fisher Investments On series is a comprehensive guide to understanding and analyzing investment opportunities within emerging markets. Growing in relative importance in recent years, emerging markets offer dynamic and unique opportunities. Fisher Investments on Emerging Markets can benefit both new and seasoned investors, covering everything from regional basics to country-specific insights to practical investing tactics, including common pitfalls to avoid. This book begins with an overview of emerging markets, followed by a historical narrative of the major emerging market regions—with emphasis on the economic, political, and sentiment drivers that help shape the investing landscape. Discusses regional, and even country-specific, drivers. Examines the major regions, including Russia, China, Latin America, and Asia. Addresses the challenges unique to emerging and developing regions, and some common pitfalls to avoid. Delves into top-down investment methodology as well as individual security analysis. Outlines a five-step process to help differentiate firms in emerging markets—designed to help you identify ones with the greatest probability of outperforming Provides investment strategies for a variety of market environments Filled with in-depth insights and expert advice, Fisher Investments on Emerging Markets provides a framework for understanding emerging markets. With this book as your guide, you can quickly gain a global perspective on emerging markets and discover strategies to help achieve your investing goals.
stories of fishermen
Автор: Владимир Ручкин
Год издания:
Они жили на изломе эпох, видели воочию и Революцию, и Гражданскую. Ненависть к буржуям, белым, мироедам была всеобщей. Это не персонажи истории или идеологические доктрины. Буржуя можно было видеть повешенным на фонаре или расстрелянным и валяющимся в грязи, здесь, рядом с твоим домом.
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.
Christine: A Fife Fisher Girl
Автор: Barr Amelia E.
Год издания:
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.