Spreadsheets are used daily by millions of people for tasks that range from organizing a list of addresses to carrying out complex economic simulations. Spreadsheet programs are easy to learn and convenient to use because they have a clear visual model and a simple efficient underlying computational model. Yet although the basic spreadsheet model could be extended, improved, or otherwise experimented with in many ways, there is no coherently designed, reasonably efficient open source spreadsheet implementation that is a suitable platform for such experiments.
With the advent of the 2007–2008 financial crisis, the economics profession itself entered into a crisis of legitimacy from which it has yet to emerge. Despite the obviousness of their failures, however, economists continue to rely on the same methods and to proceed from the same underlying assumptions. André Orléan challenges the neoclassical paradigm in this book, with a new way of thinking about perhaps its most fundamental concept, economic value.
For ten boom-powered years at the turn of the twenty-first century, some of America’s most prominent law and accounting firms created and marketed products that enabled the very rich—including newly minted dot-com millionaires—to avoid paying their fair share of taxes by claiming benefits not recognized by law. These abusive domestic tax shelters bore such exotic names as BOSS, BLIPS, and COBRA and were developed by such prestigious firms as KPMG and Ernst & Young. They brought in hundreds of millions of dollars in fees from clients and bilked the U.S.
Financial Modeling is now the standard text for explaining the implementation of financial models in Excel. This long-awaited fourth edition maintains the “cookbook” features and Excel dependence that have made the previous editions so popular. As in previous editions, basic and advanced models in the areas of corporate finance, portfolio management, options, and bonds are explained with detailed Excel spreadsheets.
This book provides an innovative, integrated, and methodical approach to understanding complex financial models, integrating topics usually presented separately into a comprehensive whole. The book brings together financial models and high-level mathematics, reviewing the mathematical background necessary for understanding these models organically and in context. It begins with underlying assumptions and progresses logically through increasingly complex models to operative conclusions.
Despite its theoretical elegance, the standard optimal tax model has significant limitations. In this book, Joel Slemrod and Christian Gillitzer argue that tax analysis must move beyond the emphasis on optimal tax rates and bases to consider such aspects of taxation as administration, compliance, and remittance.
One lens through which to view global economic interdependence and the spillover of shocks is that of decoupling (and then recoupling). Decoupling between developed and developing countries can be seen in the strong economic performance of China and India relative to that of the United States and Europe in the early 2000s. Recoupling then took place as developing countries sank along with the developed world during the deepening financial crisis of 2008.
Politics matter for financial markets and financial markets matter for politics, and nowhere is this relationship more apparent than in emerging markets. In Banking on Democracy, Javier Santiso investigates the links between politics and finance in countries that have recently experienced both economic and democratic transitions. He focuses on elections, investigating whether there is a “democratic premium”—whether financial markets and investors tend to react positively to elections in emerging markets.
In recent years central bankers have placed new emphasis on communication with financial markets and the general public. They have done this not only through the traditional channel of monetary policy pronouncements but also by increasing the quantity of information they make public. Yet as central banks strive to provide more and clearer information about the outlook for the economy, they must balance their capacity to steer economic expectations with their natural caution about committing to future monetary policy paths.
Investors and analysts often need to look into a firm’s operations more deeply than traditional financial statements and models allow. This book describes newly developed tools for using operations metrics to discern and influence the valuation of a firm. It is the first to present these techniques from a unified perspective: that of operations forensics, which looks at operations management not from the traditional point of view of a manager but from that of an investor or shareholder.