Stock Market Crashes: Predictable And Unpredictable And What To Do About Them

William T Ziemba, Mikhail Zhitlukhin, Sebastien Lleo

ISBN 10: 9813222611 / ISBN 13: 9789813222618

Editore: World Scientific Publishing Co Pte Ltd, SG, 2017

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"Overall, the book provides an interesting and useful synthesis of the authorsâ?T 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 SandP 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-SandP 500.

Codice articolo LU-9789813222618

Dati bibliografici

• Titolo: Stock Market Crashes: Predictable And Unpredictable And What To Do About Them
• Editore: World Scientific Publishing Co Pte Ltd, SG
• Data di pubblicazione: 2017
• Lingua: Inglese
• ISBN 10: 9813222611
• ISBN 13: 9789813222618
• Rilegatura: Paperback
• Condizione: New

Descrizione articolo

Riassunto

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.

Recensione

Stock Market Crashes: Predictable and Unpredictable is a well-documented account of research addressing the detection of stock market bubbles and the predictability of the timing of their eventual burst. Whereas the jury is still out, both practitioners and academics will benefit from reading this fascinating account by Professor Ziemba, an accomplished contributor to this quest. -- George M Constantinides, Leo Melamed Professor of Finance, Booth School of Business, University of Chicago

In my experience, one of the most important objectives stated by most investment managers is the preservation of investors' capital. Central to that objective is to avoid catastrophic losses due to major stock market declines or outright crashes. Hence, being able to predict crashes is a fundamental caveat to sound investment strategy. Probably more than anyone since the legendary works of Hyman Minsky, William Ziemba has provided the soundest, empirically based techniques, models and insights to investors to help them avoid and deal with major stock market declines. My own works, using fundamental models for predicting individual firm and sovereign defaults, complements well Bill Ziemba's important contributions. -- Edward I Altman, Max L Heine Professor of Finance, Emeritus New York University, Stern School of Business

Stock market declines of ten percent or more are both costly and frequent. The authors share what they have learned about dodging these disasters, based on decades of research, data analysis and trading. -- Edward O Thorp author of A Man For All Markets and the New York Times bestseller, Beat the Dealer