From the reviews: "The huge literature in risk theory has been carefully selected and supplemented by personal contributions of the author, many of which appear here for the first time. The result is a systematic and very readable book, which takes into account the most recent developments of the field. It will be of great interest to the actuary as well as to the statistician . . ." -- Math. Reviews Vol. 43

Seize the competitive edge through intelligent, differentiated capital allocation The intelligent deployment of capital is one of the most effective ways to create long-term value. But despite this, there are very few capital allocation experts on the boards of the largest publicly traded companies, and academic research consistently finds that most firms deploy capital sub-optimally. Capital Allocation aims to educate senior leaders, board members, investors, students, and anyone interested in business on this important topic. Until now very little has been written on capital allocation outside of academia, even though the strategic deployment of excess capital is an increasingly significant source of competitive advantage for many companies. David Giroux, Chief Investment Officer for Equities and Multi-Asset and Head of Investment Strategy at T. Rowe Price, covers the entire gamut of capital allocation issues, including optimal capital structure, capital allocation alternatives, mergers & acquisitions, and special situations. Capital Allocation walks you through this critical topic from beginning to end, including: Stories of companies that allocated capital in ways that created significant shareholder value Several real-life decision-making models you can use for strategically allocating your firm’s capital Guidelines for generating high returns in the long term to build sustainable shareholder wealth Giroux uses academic research, personal experience, and uncomplicated mathematics to reveal approaches and actions that create long-term value. He provides case studies from Kodak, Comcast, Thermo Fisher Scientific, Danaher, General Electric, Microsoft, and others showing how capital allocation has―and hasn’t―worked in real-life situations. And he shows how to use capital allocation to head off possible activist investors. Capital Allocation offers everything you need to know for deploying capital wisely to outperform your competitors over the long term.

It's time to redefine the CEO success story. Meet eight iconoclastic leaders who helmed firms where returns on average outperformed the S&P 500 by more than 20 times.

Written by one of the top most statisticians with experience in diverse fields of applications of statistics, the book deals with the philosophical and methodological aspects of information technology, collection and analysis of data to provide insight into a problem, whether it is scientific research, policy making by government or decision making in our daily lives.The author dispels the doubts that chance is an expression of our ignorance which makes accurate prediction impossible and illustrates how our thinking has changed with quantification of uncertainty by showing that chance is no longer the obstructor but a way of expressing our knowledge. Indeed, chance can create and help in the investigation of truth. It is eloquently demonstrated with numerous examples of applications that statistics is the science, technology and art of extracting information from data and is based on a study of the laws of chance. It is highlighted how statistical ideas played a vital role in scientific and other investigations even before statistics was recognized as a separate discipline and how statistics is now evolving as a versatile, powerful and inevitable tool in diverse fields of human endeavor such as literature, legal matters, industry, archaeology and medicine.Use of statistics to the layman in improving the quality of life through wise decision making is emphasized.

Academic finance has had a remarkable impact on many financial services. Yet long-term investors have received curiously little guidance from academic financial economists. Mean-variance analysis, developed almost fifty years ago, has provided a basic paradigm for portfolio choice. This approach usefully emphasizes the ability of diversification to reduce risk, but it ignores several critically important factors. Most notably, the analysis is static; it assumes that investors care only about risks to wealth one period ahead. However, many investors—-both individuals and institutions such as charitable foundations or universities—-seek to finance a stream of consumption over a long lifetime. In addition, mean-variance analysis treats financial wealth in isolation from income. Long-term investors typically receive a stream of income and use it, along with financial wealth, to support their consumption. At the theoretical level, it is well understood that the solution to a long-term portfolio choice problem can be very different from the solution to a short-term problem. Long-term investors care about intertemporal shocks to investment opportunities and labor income as well as shocks to wealth itself, and they may use financial assets to hedge their intertemporal risks. This should be important in practice because there is a great deal of empirical evidence that investment opportunities—-both interest rates and risk premia on bonds and stocks—-vary through time. Yet this insight has had little influence on investment practice because it is hard to solve for optimal portfolios in intertemporal models. This book seeks to develop the intertemporal approach into an empirical paradigm that can compete with the standard mean-variance analysis. The book shows that long-term inflation-indexed bonds are the riskless asset for long-term investors, it explains the conditions under which stocks are safer assets for long-term than for short-term investors, and it shows how labor income influences portfolio choice. These results shed new light on the rules of thumb used by financial planners. The book explains recent advances in both analytical and numerical methods, and shows how they can be used to understand the portfolio choice problems of long-term investors.