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'Overall, the book provides an interesting and useful synthesis of the authors’ research on the predictions of stock market crashes. The book can be recommended to anyone interested in the Bond Stock Earnings Yield Differential model, and similar methods to predict crashes.'Quantitative FinanceThis 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.
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.
As stock prices and investor confidence have collapsed in the wake of Enron, WorldCom, and the dot-com crash, people want to know how this happened and how to make sense of the uncertain times to come. Into the breach comes one of Wall Street's legendary investors, Leon Levy, to explain why the market so often confounds us, and why those who ought to understand it tend to get chewed up and spat out. Levy, who pioneered many of the innovations and investment instruments that we now take for granted, has prospered in every market for the past fifty years, particularly in today's bear market. In The Mind of Wall Street he recounts stories of his successes and failures to illustrate how investor psychology and willful self-deception so often play critical roles in the process. Like his peers George Soros and Warren Buffett, Levy takes a long and broad view of the rhythms of the markets and the economy. He also offers a provocative analysis of the spectacular Internet bubble, showing that the market has not yet completely recovered from its bout of "irrational exuberance." The Mind of Wall Street is essential reading for all of us, whether we are active traders or simply modest contributors to our 401(k) plans, as volatile and unnerving markets come to define so much of our net worth.
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.
The best data in the business, updated for 2019 Stock Trader's Almanac 2019 provides the cleanest historical data in the business to give traders and investors an advantage in the market. The 2019 edition is consistent with decades of the Stock Trader's Almanac showing you the cycles, trends, and patterns you need to know in order to invest with minimum risk and maximum profit. Updated with the latest numbers, this indispensable guide is organized in a calendar format to provide monthly and daily reminders, including upcoming opportunities to grab and dangers to avoid. Proprietary strategies include the Hirsch Organization's Best Six Months Switching Strategy, the January Barometer, and the Four-Year Presidential Election/Stock Market Cycle, arming you with the tools savvy investors use to achieve their market goals. Trusted by Barron's, The Wall Street Journal, the New York Times, and other respected market authorities, this indispensable guide has helped generations of investors make smart market moves. This new edition provides the same level of invaluable guidance, with the latest data straight from the vault. Access the most trusted historical market data available Identify patterns and trends you won't find anywhere else Get advance notice about upcoming risks and opportunities Bring accuracy to your forecasting and confidence to your investing Analytical tools are essential to successful investing, but they're only as useful as the data is accurate. Even the most beautifully designed model cannot forecast accurately based on incomplete, misleading, or inaccurate numbers; data quality is the bedrock of your entire investing strategy, and when it comes to data, cleanliness is next to profitability. Get the edge this year with the best data in the business, plus a wealth of valuable strategies in the Stock Trader's Almanac 2019.
Updated with a new chapter that draws on behavioral finance, the field that studies the psychology of investment decisions, the bestselling guide to investing evaluates the full range of financial opportunities.
This book tells the story of how financial markets have evolved over time and became increasingly more complex. The author, a successful and experienced trader, who among other things won the 2015 battle of the quants futures contest held in New York, shares how one can navigate today's dangerous financial markets and be successful. Readers at all levels will benefit from his analysis and many real life examples and experiences. The coverage is broad and there is considerable discussion on ways to stay out of trouble, protect oneself and grow one's assets. The author was the first one to do turn of the year January effect trades in the futures markets starting in the beginning of S&P 500 futures trading in 1982. That has been successful and the author explains his ideas and experiences from the beginning in simple markets to the current, very complex markets we have in 2017.The author discusses the various ways that traders and investors lose money in the financial markets. Many examples are provided, including Long Term Capital Management, ENRON, Amarath, Neiderhoffer's funds and many major companies such as Lehman Brothers, Society Generale, Saloman Brothers. This is invaluable to understanding ways to avoid such losses.The author discusses great investors, their methods and evaluation and the authors' work with several of them. Risk arbitrage and mean reversion strategies are described through actual use. Asset-liability models for pension funds, insurance companies and other financial institutions devised by the author are described. The author uses racetrack bias ideas in behavorial finance in trading index futures and options. Large stock market crashes that can be predicted are discussed with several models of the author and others. Many mini crashes including the January-February 2016, Brexit, Trump and French elections that are plausible but largely unpredictable are described and how they were dealt with successfully.Along with ways to deal with them, investment in top quality racehorses, oriental carpets, real estate and other interesting investments are covered. The author was instrumental in viewing racing as a stock market. The ideas are used by the top racing syndicates as well as hedge funds.The book proceeds by weaving these aspects of the financial markets in the modern era into a story of the author's academic, professional and personal life. This is told through the people he met and worked with and the academic and personal travel he had all over the world this past half century. The text is simply written with details, sources and references in the notes of each chapter. Details of various important events and how they evolved are described. There are numerous color and black and white photos in the text plus graphs, tables etc. in the notes to tell the story. The teaching and research into various financial and gambling markets takes the reader to interesting places around the world. These include the US and its many stock market ups and downs, Japan when they were ruling the financial world and then they collapsed, the UK visits with lectures, teaching and research work at their great Universities including Cambridge and Oxford, Europe with many activities in France, Italy, Germany and other places, to Asia including discussions about travels to Persia, Turkey, Singapore, Korea, China, Afghanistan, Russia and other countries. Also discussed are visits to U.S. universities including Chicago, MIT, Berkeley, UCLA and Washington. His work with horse racing syndicates took him to Australia and Hong Kong. Crises like those in Greece, US housing and internet and the flash crash are discussed.
This book introduces the readers to the rapidly growing literature and latest results on financial, fundamental and seasonal anomalies, stock selection modeling and portfolio management. Fifty years ago, finance professors taught the Efficient Markets Hypothesis which states that the average investor could not outperform the stock market based on technical, seasonal and fundamental data. Many, if not most faculty and investors, no longer share that opinion. In this book, the authors report original empirical evidence that applied investment research can produce statistically significant stock selection and excess portfolio returns in the US, and larger excess returns in international and emerging markets.
Exotic Betting at the Racetrack is unique as it covers the efficient-inefficient strategy to price and find profitable racetrack bets, along with handicapping that provides actual bets made by the author on essentially all of the major wagers offered at US racetracks. The book starts with efficiency, accuracy of the win odds, arbitrage, and optimal betting strategies. Examples and actual bets are shown for various wagers including win, place and show, exacta, quinella, double, trifecta, superfecta, Pick 3, 4 and 6 and rainbow pick 5 and 6. There are discussions of major races including the Breeders' Cup, Pegasus, Dubai World Cup and the US Triple Crown from 2012-2018. Dosage analysis is also described and used. An additional feature concerns great horses such as the great mares Rachel Alexandra, Zenyatta, Goldikova, Treve, Beholder and Song Bird. There is a discussion of horse ownership and a tour through arguably the world's top trainer Frederico Tesio and his stables and horses in Italy.Related Link(s)