The driving force of U.S. economic growth is expected to rotate from the fiscal stimulus and inventory rebuilding in 2009 to private demand in 2010, with consumption and particularly investment expected to be important contributors to growth. The strength of U.S. investment will hence be a crucial issue for the U.S. and global recovery. On the basis of several traditional models of investment, we forecast that the U.S. investment in equipment and software will grow by about 10 percent on average over the 2010-12 period. The contribution of investment to real GDP growth will be 0.8 percentage points on average over the same period.

Forecasting—the art and science of predicting future outcomes—has become a crucial skill in business and economic analysis. This volume introduces the reader to the tools, methods, and techniques of forecasting, specifically as they apply to financial and investing decisions. With an emphasis on "earnings per share" (eps), the author presents a data-oriented text on financial forecasting, understanding financial data, assessing firm financial strategies (such as share buybacks and R&D spending), creating efficient portfolios, and hedging stock portfolios with financial futures. The opening chapters explain how to understand economic fluctuations and how the stock market leads the general economic trend; introduce the concept of portfolio construction and how movements in the economy influence stock price movements; and introduce the reader to the forecasting process, including exponential smoothing and time series model estimations. Subsequent chapters examine the composite index of leading economic indicators (LEI); review financial statement analysis and mean-variance efficient portfolios; and assess the effectiveness of analysts’ earnings forecasts. Using data from such firms as Intel, General Electric, and Hitachi, Guerard demonstrates how forecasting tools can be applied to understand the business cycle, evaluate market risk, and demonstrate the impact of global stock selection modeling and portfolio construction.

Forecasting returns is as important as forecasting volatility in multiple areas of finance. This topic, essential to practitioners, is also studied by academics. In this new book, Dr Stephen Satchell brings together a collection of leading thinkers and practitioners from around the world who address this complex problem using the latest quantitative techniques.*Forecasting expected returns is an essential aspect of finance and highly technical *The first collection of papers to present new and developing techniques *International authors present both academic and practitioner perspectives

Learn how to identify the bottom of your local real estate market and understand when to buy by using the tools and tips in Forecasting for Real Estate Wealth: Strategies for Outperforming Any Housing Market. Take advantage of the great deals created by falling real estate prices and discover the four questions every real estate investor must ask before buying, selling, or holding any property. With this guide, you can forecast the value of any property in 1 or 5 years, predict which investment property will give you maximum return, and secure low-cost financing.

Takes the mystery out of financial markets by providing a straightforward analytical framework for trading. Offers a unifying rationale for technical analysis of markets, making it more of a ``science'' than ever before. Begins with a discussion of how emotional elements permeate economic and financial behaviors and how forecasters can remain independent from such behavior. The more reliable theories of natural systems and price pulse--continuously recurring price patterns--are introduced and examined in detail. The author shows analysts how to use these techniques to forecast price movement profile, extent, and timing of reversals, putting investors on the road to trading with minimum risk and maximum success.

Forecast geopolitics and markets with this clear and insightful resource Geopolitical Alpha – An Investment Framework for Predicting the Future provides readers with an original and compelling approach to forecasting the future and beating the markets while doing so. Persuasively written by author, investment strategist, and geopolitical analyst Marko Papic, the book applies a novel framework for making sense of the cacophony of geopolitical risks with the eye towards generating investment-relevant insights. Geopolitical Alpha posits that investors should ignore the media-hyped narratives, insights from "smoke-filled rooms," and most of their political consultants and, instead, focus exclusively on the measurable, material constraints facing policymakers. In the tug-of-war between policymaker preferences and their constraints, the latter always win out in the end. Papic uses a wealth of examples from the past decade to illustrate how one can use his constraint-framework to generate Geopolitical Alpha. In the process, the book discusses: What paradigm shifts will drive investment returns over the next decade Why investment and corporate professionals can no longer treat geopolitics as an exogenous risk How to ignore the media and focus on what drives market narratives that generate returns Perfect for investors, C-suite executives, and investment professionals, Geopolitical Alpha belongs on the shelf of anyone interested in the intersection of geopolitics, economics, and finance.

Financial Risk Forecasting is a complete introduction to practical quantitative risk management, with a focus on market risk. Derived from the authors teaching notes and years spent training practitioners in risk management techniques, it brings together the three key disciplines of finance, statistics and modeling (programming), to provide a thorough grounding in risk management techniques. Written by renowned risk expert Jon Danielsson, the book begins with an introduction to financial markets and market prices, volatility clusters, fat tails and nonlinear dependence. It then goes on to present volatility forecasting with both univatiate and multivatiate methods, discussing the various methods used by industry, with a special focus on the GARCH family of models. The evaluation of the quality of forecasts is discussed in detail. Next, the main concepts in risk and models to forecast risk are discussed, especially volatility, value-at-risk and expected shortfall. The focus is both on risk in basic assets such as stocks and foreign exchange, but also calculations of risk in bonds and options, with analytical methods such as delta-normal VaR and duration-normal VaR and Monte Carlo simulation. The book then moves on to the evaluation of risk models with methods like backtesting, followed by a discussion on stress testing. The book concludes by focussing on the forecasting of risk in very large and uncommon events with extreme value theory and considering the underlying assumptions behind almost every risk model in practical use – that risk is exogenous – and what happens when those assumptions are violated. Every method presented brings together theoretical discussion and derivation of key equations and a discussion of issues in practical implementation. Each method is implemented in both MATLAB and R, two of the most commonly used mathematical programming languages for risk forecasting with which the reader can implement the models illustrated in the book. The book includes four appendices. The first introduces basic concepts in statistics and financial time series referred to throughout the book. The second and third introduce R and MATLAB, providing a discussion of the basic implementation of the software packages. And the final looks at the concept of maximum likelihood, especially issues in implementation and testing. The book is accompanied by a website - www.financialriskforecasting.com – which features downloadable code as used in the book.