Скачать книгу - The High Frequency Game Changer. How Automated Trading Strategies Have Revolutionized the Markets

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.

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.