"The pay gap between chief executive officers of major U.S. firms and their workers is higher than ever before--depending on the method of calculation, CEOs get paid between 300 and 700 times more than the average worker. Such outsized pay is a relatively recent phenomenon, but ... few detractors truly understand the numerous factors that have contributed to the dizzying upward spiral in CEO compensation. Steven Clifford, a former CEO who has also served on many corporate boards, has a name for these procedures and practices: 'The CEO Pay Machine.' [This book] is Clifford's ... explanation of the 'machine'--how it works, how its parts interact, and how every step pushes CEO pay to higher levels"--

Prodded by economists in the 1970s, corporate directors began adding stock options and bonuses to the already-generous salaries of CEOs with hopes of boosting their companiesÕ fortunes. Guided by largely unproven assumptions, this trend continues today. So what are companies getting in return for all the extra money? Not much, according to the empirical data. In Indispensable and Other Myths: Why the CEO Pay Experiment Failed and How to Fix It, Michael Dorff explores the consequences of this development. He shows how performance pay has not demonstrably improved corporate performance and offers studies showing that performance pay cannot improve performance on the kind of tasks companies ask of their CEOs. Moreover, CEOs of large established companies do not typically have much impact on their companiesÕ results. In this eye-opening exposŽ, Dorff argues that companies should give up on the decades-long experiment to mold compensation into a corporate governance tool and maps out a rationale for returning to the era of guaranteed salaries.

The big stories -- The skills of the new machines : technology races ahead -- Moore's law and the second half of the chessboard -- The digitization of just about everything -- Innovation : declining or recombining? -- Artificial and human intelligence in the second machine age -- Computing bounty -- Beyond GDP -- The spread -- The biggest winners : stars and superstars -- Implications of the bounty and the spread -- Learning to race with machines : recommendations for individuals -- Policy recommendations -- Long-term recommendations -- Technology and the future (which is very different from "technology is the future").

Popular perceptions of executive compensation in the United States are now part of a full-blown mythology fueled by critics who have little direct experience with the inner workings of corporations, their boards, and the executive teams who ultimately shoulder the responsibility for business success or failure. This book documents the realities of executive compensation by investigating the extent to which the pay for performance model governs executive pay levels. It also assesses the relative success of this model in creating value for shareholders and robust job growth for U.S. workers and provides detailed, real-world guidance for designing and executing effective executive compensation plans. Based on extensive empirical research and decades of direct experience in the field, Myths and Realities of Executive Pay settles the debate about executive compensation and the role it plays in the broader U.S. economy.

This four-volume handbook covers important concepts and tools used in the fields of financial econometrics, mathematics, statistics, and machine learning. Econometric methods have been applied in asset pricing, corporate finance, international finance, options and futures, risk management, and in stress testing for financial institutions. This handbook discusses a variety of econometric methods, including single equation multiple regression, simultaneous equation regression, and panel data analysis, among others. It also covers statistical distributions, such as the binomial and log normal distributions, in light of their applications to portfolio theory and asset management in addition to their use in research regarding options and futures contracts.In both theory and methodology, we need to rely upon mathematics, which includes linear algebra, geometry, differential equations, Stochastic differential equation (Ito calculus), optimization, constrained optimization, and others. These forms of mathematics have been used to derive capital market line, security market line (capital asset pricing model), option pricing model, portfolio analysis, and others.In recent times, an increased importance has been given to computer technology in financial research. Different computer languages and programming techniques are important tools for empirical research in finance. Hence, simulation, machine learning, big data, and financial payments are explored in this handbook.Led by Distinguished Professor Cheng Few Lee from Rutgers University, this multi-volume work integrates theoretical, methodological, and practical issues based on his years of academic and industry experience.

A timely look at how to evaluate and determine executive pay Recognized as the leading expert on executive compensation, Robin Ferracone combines her own 20 years of experience with interviews with executives and compensation committees to provide a clear examination of and guidance on determining pay packages, actions, and designs. and Over the past 25 years, the author has created a database of executive pay across 44,000 companies, broken down by company performance, company revenue and industry. Using this data, the author provides boards and individuals evaluating executive pay with the ability to analytically determine an appropriate compensation package. Provides real-life stories, perspectives, and insights from thought leaders on executive compensation Contains interview with compensation committee members, executives, academicians, government leaders, and shareholder activists Research based on 44,000 companies broken down by performance, revenue and industry Offers a timely resource on a hot button topic.

A powerful lesson in what is really important in business, this remarkable book by an ultimate insider takes the lessons of the peddler and reveals how they can be used by the rest of us. Reminiscent of bestsellers such as "Who Moved My Cheese?" and" The One-Minute Manager, What the CEO Wants You to Know" is simple, direct, and of immense use to everyone in business.

Cut through information overload to make better decisions faster Success relies on making the correct decisions at the appropriate time, which is only possible if the decision maker has the necessary insights in a suitable format. Mind+Machine is the guide to getting the right insights in the right format at the right time to the right person. Designed to show decision makers how to get the most out of every level of data analytics, this book explores the extraordinary potential to be found in a model where human ingenuity and skill are supported with cutting-edge tools, including automations. The marriage of the perceptive power of the human brain with the benefits of automation is essential because mind or machine alone cannot handle the complexities of modern analytics. Only when the two come together with structure and purpose to solve a problem are goals achieved. With various stakeholders in data analytics having their own take on what is important, it can be challenging for a business leader to create such a structure. This book provides a blueprint for decision makers, helping them ask the right questions, understand the answers, and ensure an approach to analytics that properly supports organizational growth. Discover how to: Harness the power of insightful minds and the speed of analytics technology Understand the demands and claims of various analytics stakeholders Focus on the right data and automate the right processes · Navigate decisions with confidence in a fast-paced world The Mind+Machine model streamlines analytics workflows and refines the never-ending flood of incoming data into useful insights. Thus, Mind+Machine equips you to take on the big decisions and win.

"Views differ on bitcoin, but few doubt the transformative potential of Blockchain technology. The Truth Machine is the best book so far on what has happened and what may come along. It demands the attention of anyone concerned with our economic future." —Lawrence H. Summers, Charles W. Eliot University Professor and President Emeritus at Harvard, Former Treasury Secretary From Michael J. Casey and Paul Vigna, the authors of The Age of Cryptocurrency, comes the definitive work on the Internet’s Next Big Thing: The Blockchain. Big banks have grown bigger and more entrenched. Privacy exists only until the next hack. Credit card fraud is a fact of life. Many of the “legacy systems” once designed to make our lives easier and our economy more efficient are no longer up to the task. Yet there is a way past all this—a new kind of operating system with the potential to revolutionize vast swaths of our economy: the blockchain. In The Truth Machine, Michael J. Casey and Paul Vigna demystify the blockchain and explain why it can restore personal control over our data, assets, and identities; grant billions of excluded people access to the global economy; and shift the balance of power to revive society’s faith in itself. They reveal the disruption it promises for industries including finance, tech, legal, and shipping. Casey and Vigna expose the challenge of replacing trusted (and not-so-trusted) institutions on which we’ve relied for centuries with a radical model that bypasses them. The Truth Machine reveals the empowerment possible when self-interested middlemen give way to the transparency of the blockchain, while highlighting the job losses, assertion of special interests, and threat to social cohesion that will accompany this shift. With the same balanced perspective they brought to The Age of Cryptocurrency, Casey and Vigna show why we all must care about the path that blockchain technology takes—moving humanity forward, not backward.

Winner of CMI Management Book of the Year 2019 New York Times Bestseller Wall Street Journal Bestseller Everything you thought you knew about becoming a CEO is wrong. You must graduate from an elite college or business school. In fact, only 7 percent of the CEOs of today's companies went to a top school--and 8 percent didn't graduate from college at all. Never put a foot wrong. In fact, people who have become CEOs have on average had five to seven career setbacks on their way to the top. Drawing on the biggest dataset of CEOs in the world -- in-depth analysis of 2,600 leaders, drawn from a database of 17,000 CEOs, as well as 13,000 hours of interviews -- The CEO Next Door is crammed full of myth-busting and counter-intuitive insights in what it really takes to get ahead. Discover the way actual CEOs of top companies think and behave, and the kind of traits to develop if you want to make your ambitions a reality and take your career right to the top.