Bubbles And Crashes

“An interesting take on some factors that facilitate the development and bursting of bubbles in technology industries. . . . Highly recommended.” —Choice Financial market bubbles are recurring, often painful, reminders of the costs and benefits of capitalism. While many books have studied financial manias and crises, most fail to compare times of turmoil with times of stability. In Bubbles and Crashes, Brent Goldfarb and David A. Kirsch give us new insights into the causes of speculative booms and busts. They identify a class of assets—major technological innovations—that can, but does not necessarily, produce bubbles. This methodological twist is essential: Only by comparing similar events that sometimes lead to booms and busts can we ascertain the root causes of bubbles. Using a sample of eighty-eight technologies spanning 150 years, Goldfarb and Kirsch find that four factors play a key role in these episodes: the degree of uncertainty surrounding a particular innovation; the attentive presence of novice investors; the opportunity to directly invest in companies that specialize in the technology; and whether or not a technology is a good protagonist in a narrative. Goldfarb and Kirsch consider the implications of their analysis for technology bubbles that may be in the works today, offer tools for investors to identify whether a bubble is happening, and propose policy measures that may mitigate the risks associated with future speculative episodes.

Economists broadly define financial asset price bubbles as episodes in which prices rise with notable rapidity and depart from historically established asset valuation multiples and relationships. Financial economists have for decades attempted to study and interpret bubbles through the prisms of rational expectations, efficient markets, equilibrium, arbitrage, and capital asset pricing models, but they have not made much if any progress toward a consistent and reliable theory that explains how and why bubbles (and crashes) evolve and are defined, measured, and compared. This book develops a new and different approach that is based on the central notion that bubbles and crashes reflect urgent short-side rationing, which means that, as such extreme conditions unfold, considerations of quantities owned or not owned begin to displace considerations of price.

Why do stock and housing markets sometimes experience amazing booms followed by massive busts and why is this happening more and more frequently? Boom and Bust reveals why bubbles happen, and why some bubbles have catastrophic economic, social and political consequences, whilst others have actually benefited society.

One would think that economists would by now have already developed a solid grip on how financial bubbles form and how to measure and compare them. This is not the case. Despite the thousands of articles in the professional literature and the millions of times that the word "bubble" has been used in the business press, there still does not appear to be a cohesive theory or persuasive empirical approach with which to study "bubble" and "crash" conditions. This book presents what is meant to be a plausible and accessible descriptive theory and empirical approach to the analysis of such financial market conditions. It advances such a framework through application of standard econometric methods to its central idea, which is that financial bubbles reflect urgent short side rationed demand. From this basic idea, an elasticity of variance concept is developed. The notion that easy credit provides fuel for bubbles is supported. It is further shown that a behavioral risk premium can probably be measured and related to the standard equity risk premium models in a way that is consistent with conventional theory.

The role of information is central to the academic debate on finance. This book provides a detailed, current survey of theoretical research into the effect on stock prices of the distribution of information, comparing and contrasting major models. It examines theoretical models that explain bubbles, technical analysis, and herding behavior. It also provides rational explanations for stock market crashes. Analyzing the implications of asymmetries in information is crucial in this area. This book provides a useful survey for graduate students.

From Catastrophe to Chaos: A General Theory of Economic Discontinuities presents and unusual perspective on economics and economic analysis. Current economic theory largely depends upon assuming that the world is fundamentally continuous. However, an increasing amount of economic research has been done using approaches that allow for discontinuities such as catastrophe theory, chaos theory, synergetics, and fractal geometry. The spread of such approaches across a variety of disciplines of thought has constituted a virtual intellectual revolution in recent years. This book reviews the applications of these approaches in various subdisciplines of economics and draws upon past economic thinkers to develop an integrated view of economics as a whole from the perspective of inherent discontinuity.

"Most of the matter in this book has appeared in the Saturday Evening Post during the last twelve months."--Author's note. June 1, 1932.

This book deals at some length with the question: Since there are many more poor than rich, why don’t the poor just tax the rich heavily and reduce the inequality? In the 19th century and the first half of the 20th century, the topic of inequality was discussed widely. Ending or reducing inequality was a prime motivating factor in the emergence of communism and socialism. The book discusses why later in the 20th century, inequality has faded out as an issue. Extensive tables and graphs of data are presented showing the extent of inequality in America, as well as globally. It is shown that a combination of low taxes on capital gains contributed to a series of real estate and stock bubbles that provided great wealth to the top tiers, while real income for average workers stagnated. Improved commercial efficiency due to computers, electronics, the Internet and fast transport allowed production and distribution with fewer workers, just as the advent of electrification, mechanization, production lines, vehicles and trains in the 1920s and 1930s produced the same stagnating effect.