Financial Market Bubbles And Crashes Second Edition

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, and 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 can also be 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.

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.

This book explains how and why financial bubbles and crashes occur.

The scientific study of complex systems has transformed a wide range of disciplines in recent years, enabling researchers in both the natural and social sciences to model and predict phenomena as diverse as earthquakes, global warming, demographic patterns, financial crises, and the failure of materials. In this book, Didier Sornette boldly applies his varied experience in these areas to propose a simple, powerful, and general theory of how, why, and when stock markets crash. Most attempts to explain market failures seek to pinpoint triggering mechanisms that occur hours, days, or weeks before the collapse. Sornette proposes a radically different view: the underlying cause can be sought months and even years before the abrupt, catastrophic event in the build-up of cooperative speculation, which often translates into an accelerating rise of the market price, otherwise known as a "bubble." Anchoring his sophisticated, step-by-step analysis in leading-edge physical and statistical modeling techniques, he unearths remarkable insights and some predictions--among them, that the "end of the growth era" will occur around 2050. Sornette probes major historical precedents, from the decades-long "tulip mania" in the Netherlands that wilted suddenly in 1637 to the South Sea Bubble that ended with the first huge market crash in England in 1720, to the Great Crash of October 1929 and Black Monday in 1987, to cite just a few. He concludes that most explanations other than cooperative self-organization fail to account for the subtle bubbles by which the markets lay the groundwork for catastrophe. Any investor or investment professional who seeks a genuine understanding of looming financial disasters should read this book. Physicists, geologists, biologists, economists, and others will welcome Why Stock Markets Crash as a highly original "scientific tale," as Sornette aptly puts it, of the exciting and sometimes fearsome--but no longer quite so unfathomable--world of stock markets.

The new, fully-updated edition of the respected guide to understanding financial extremes, evaluating investment opportunities, and identifying future bubbles Now in its second edition, Boombustology is an authoritative, up-to-date guide on the history of booms, busts, and financial cycles. Engaging and accessible, this popular book helps investors, policymakers, and analysts navigate the radical uncertainty that plagues today’s uncertain investing and economic environment. Author Vikram Mansharamani, an experienced global equity investor and prominent Harvard University lecturer, presents his multi-disciplinary framework for identifying financial bubbles before they burst. Moving beyond the typical view of booms and busts as primarily economic occurrences, this innovative book offers a multidisciplinary approach that utilizes microeconomic, macroeconomic, psychological, political, and biological lenses to spot unsustainable dynamics. It gives the reader insights into the dynamics that cause soaring financial markets to crash. Cases studies range from the 17th Century Dutch tulip mania to the more recent US housing collapse. The numerous cross-currents driving today’s markets—trade wars, inverted yield curves, currency wars, economic slowdowns, dangerous debt dynamics, populism, nationalism, as well as the general uncertainties in the global economy—demand that investors, policymakers, and analysts be on the lookout for a forthcoming recession, market correction, or worse. An essential resource for anyone interested in financial markets, the second edition of Boombustology: Adopts multiple lenses to understand the dynamics of booms, busts, bubbles, manias, crashes Utilizes the common characteristics of past bubbles to assist in identifying future financial extremes Presents a set of practical indicators that point to a financial bubble, enabling readers to gauge the likelihood of an unsustainable boom Offers two new chapters that analyze the long-term prospects for Indian markets and the distortions being caused by the passive investing boom Includes a new foreword by James Grant, legendary editor of Grant's Interest Rate Observer A comprehensive exploration of how bubbles form and why they burst, Boombustology, 2nd Edition is packed with a wealth of new and updated information for individual and institutional investors, academics, students, policymakers, risk-managers, and corporate managers alike.

Understanding the formation of bubbles and the contagion mechanisms afflicting financial markets is a must as extreme volatility events leave no market untouched. Debt, equity, real estate, commodities... Shanghai, NY, or London: The severe fluctuations, explained to a large extent by contagion and the fear of new bubbles imploding, justify the newly awaken interest in the contagion and bubble dynamics as yet again the world brazes for a new global economic upheaval. Bubbles and Contagion in Financial Markets explores concepts, intuition, theory, and models. Fundamental valuation, share price development in the presence of asymmetric information, the speculative behavior of noise traders and chartists, herding and the feedback and learning mechanisms that surge within the markets are key aspects of these dynamics. Bubbles and contagion are a vast world and fascinating phenomena that escape a narrow exploration of financial markets. Hence this work looks beyond into macroeconomics, monetary policy, risk aggregation, psychology, incentive structures and many more subjects which are in part co-responsible for these events. Responding to the ever more pressing need to disentangle the dynamics by which financial local events are transmitted across the globe, this volume presents an exhaustive and integrative outlook to the subject of bubbles and contagion in financial markets. The key objective of this volume is to give the reader a comprehensive understanding of all aspects that can potentially create the conditions for the formation and bursting of bubbles, and the aftermath of such events: the contagion of macro-economic processes. Achieving a better understanding of the formation of bubbles and the impact of contagion will no doubt determine the stability of future economies – let these two volumes be the starting point for a rational approach to a seemingly irrational phenomena.

This book presents studies of stock market crashes big and small that occur from bubbles bursting or other reasons. By a bubble we mean that prices are rising just because they are rising and that prices exceed fundamental values. A bubble can be a large rise in prices followed by a steep fall. The focus is on determining if a bubble actually exists, on models to predict stock market declines in bubble-like markets and exit strategies from these bubble-like markets. We list historical great bubbles of various markets over hundreds of years. We present four models that have been successful in predicting large stock market declines of ten percent plus that average about minus twenty-five percent. The bond stock earnings yield difference model was based on the 1987 US crash where the S&P 500 futures fell 29% in one day. The model is based on earnings yields relative to interest rates. When interest rates become too high relative to earnings, there almost always is a decline in four to twelve months. The initial out of sample test was on the Japanese stock market from 1948-88. There all twelve danger signals produced correct decline signals. But there were eight other ten percent plus declines that occurred for other reasons. Then the model called the 1990 Japan huge -56% decline. We show various later applications of the model to US stock declines such as in 2000 and 2007 and to the Chinese stock market. We also compare the model with high price earnings decline predictions over a sixty year period in the US. We show that over twenty year periods that have high returns they all start with low price earnings ratios and end with high ratios. High price earnings models have predictive value and the BSEYD models predict even better. Other large decline prediction models are call option prices exceeding put prices, Warren Buffett's value of the stock market to the value of the economy adjusted using BSEYD ideas and the value of Sotheby's stock. Investors expect more declines than actually occur. We present research on the positive effects of FOMC meetings and small cap dominance with Democratic Presidents. Marty Zweig was a wall street legend while he was alive. We discuss his methods for stock market predictability using momentum and FED actions. These helped him become the leading analyst and we show that his ideas still give useful predictions in 2016-2017. We study small declines in the five to fifteen percent range that are either not expected or are expected but when is not clear. For these we present methods to deal with these situations. The last four January-February 2016, Brexit, Trump and French elections are analzyed using simple volatility-S&P 500 graphs. Another very important issue is can you exit bubble-like markets at favorable prices. We use a stopping rule model that gives very good exit results. This is applied successfully to Apple computer stock in 2012, the Nasdaq 100 in 2000, the Japanese stock and golf course membership prices, the US stock market in 1929 and 1987 and other markets. We also show how to incorporate predictive models into stochastic investment models. Contents: IntroductionDiscovery of the Bond–Stock Earnings Yield Differential ModelPrediction of the 2007–2009 Stock Market Crashes in the US, China and IcelandThe High Price–Earnings Stock Market Danger Approach of Campbell and Shiller versus the BSEYD ModelOther Prediction Models for the Big Crashes Averaging –25%Effect of Fed Meetings and Small-Cap DominanceUsing Zweig's Monetary and Momentum Models in the Modern EraAnalysis and Possible Prediction of Declines in the –5% to –15% RangeA Stopping Rule Model for Exiting Bubble-like Markets with ApplicationsA Simple Procedure to Incorporate Predictive Models in Stochastic Investment Models

This book describes a laboratory experiment designed to test the causes and properties of bubbles in financial markets and explores the question whether it is possible to design markets which avoid such bubbles and crashes. In the experiment, subjects were given the opportunity to trade in a stock market modeled after the seminal work of Smith et al. (1988). To account for the increasing importance of online betting sites, subjects were also allowed to trade in a digital option market. The outcomes shed new light on how subjects form and update their expectations, placing special emphasis on the bounded rationality of investors. Various analytical bubble measures found in the literature are collected, calculated, classified and presented for the first time. The very interesting new bubble measures "Dispersion Ratio", "Overpriced Transactions" and "Underpriced Transactions" are developed, making the book an important step towards the research goal of preventing bubbles and crashes in financial markets. In addition, the book formulates concrete new research hypotheses for future studies.