Abstract
The basic elements needed for defining and finding bubbles and crashes are now in place and this chapter collates, extends, and summarizes the concepts that have earlier been developed. The result is a practical empirical method that enables extreme events to be statistically defined, detected, and tested by applying the elasticity of variance approach to real-world data. Given the fractal, scaled nature of financial markets, all bubbles and crashes are comprised of what can be called microbubbles and microcrashes. Predictability and forecasting aspects are then covered as extensions.
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References
Alexander, C., ed. (1999). Risk Management and Analysis: Measuring and Modelling Financial Risk, vol. 1. New York: Wiley.
Ang, A. and Bekaert, G. (2007). “Stock Return Predictability: Is It There?,” Review of Financial Studies, 20(3).
Armitage, S. (2005). The Cost of Capital: Intermediate Theory. New York: Cambridge University Press.
Benzoni, L., Collin-Dufresne, P., and Goldstein, R. S. (2010). “Explaining Asset Pricing Puzzles Associated with the 1987 Market Crash,” Working Paper 2010-10, Federal Reserve Bank of Chicago.
Blanchard, O. J., and Watson, M. W. (1982). “Bubbles, Rational Expectations, and Financial Markets,” in Wachtel, P., ed., Crises in the Economic and Financial Structure. Lexington, MA: Lexington Books.
Browning, E. S. (2007a). “Analysts Debate If Bull Market Has Peaked,” Wall Street Journal, July 30.
Casti, J. (2002). “I Know What You’ll Do Next Summer,” New Scientist, August 31.
Cochrane, J. H. (2005). Asset Pricing, revised ed. Princeton, NJ: Princeton University Press.
Collyns, C., and Senhadji, A. (2003). “Lending Booms, Real Estate Bubbles, and the Asian Crisis,” in Hunter et al. (2003).
Cuthbertson, K., and Nitzsche, D. (2004). Quantitative Financial Economics, 2nd ed. West Sussex, UK: Wiley.
Da, Z., Engelberg, J., and Gao, P. (2015). “The Sum of All FEARS Investor Sentiment and Asset Prices,” Review of Financial Studies, 28(1)(January).
Dornbusch, R. (1976). “Expectations and Exchange Rate Dynamics,” Journal of Political Economy, 84(6)(December).
Ferson, W., and Harvey, C. (1991). “Sources of Predictability in Portfolio Returns,” Financial Analysts Journal, 47(3)(May/June).
Fleckenstein, W. A., and Sheehan, F. (2008). Greenspan’s Bubbles: The Age of Ignorance at the Federal Reserve. New York: McGraw-Hill.
Frost, A. J., and Prechter, R. R. (1978). Elliot Wave Principle. Chappaqua, NY: New Classics Library.
Geary, R. C. (1970). “Relative Efficiency of Count of Sign Changes for Assessing Residual Autoregression in Least Squares Regression,” Biometrika, (57).
Gray, W. R., and Vogel, J. R. (2016). Quantitative Momentum. Hoboken, NJ: Wiley.
Greenwood, R., Hanson, S. G., Shleifer, A., and Sorensen, J. A. (2021). ‘Predictable Financial Crises,” Working Paper 20-130, Harvard Business School.
Greenwood, R., Shliefer, A., and You, Y. (2019). “Bubbles for Fama,” Journal of Financial Economics, 131(1)(January).
Gujarati, D. N. (2003). Basic Econometrics, 4th (international) ed. New York: McGraw-Hill.
Huang, D., Jiang, F., Tu, J., and Zhou, G. (2015). “Investor Sentiment Aligned: A Powerful Predictor of Stock Returns,” Review of Financial Studies, 28(3)(March).
Hwang, S., Satchell, S. E., and Valls Pereira, P. L. (2007). “How Persistent Is Stock Return Volatility? An Answer with Markov Regime Switching Stochastic Volatility Models,” Journal of Business Finance & Accounting, 34(5) & (6)(June/July).
Jagadeesh, N., and Titman, S. (2001). “Profitability of Momentum Strategies: An Evaluation of Alternative Explanations,” Journal of Finance, 56(2)(April).
———. (1993). “Returns to Buying Winners and Selling Losers: Implications for Stock Market Efficiency,” Journal of Finance, 48.
Kaizoji, T., and Sornette, D. (2008). “Market Bubbles and Crashes,” MPRA Paper 15204, University Library Munich, Germany and available at: http://arxiv.org/pdf/0812.2449.
Kennedy, P. (2003, 2008). A Guide to Econometrics, 6th ed. Malden, MA and Oxford, UK: Blackwell.
Livio, M. (2002). The Golden Ratio. New York: Random House/Broadway Books.
Lo, A. W. (2017). Adaptive Markets: Financial Evolution at the Speed of Thought. Princeton, NJ: Princeton University Press.
McQueen, G., and Thorley, S. (1994). “Bubbles, Stock Returns, and Duration Dependence,” Journal of Financial and Quantitative Analysis, 29.
Moosa, I. A. (2017). Econometrics as a Con Art: Exposing the Limitations and Abuses of Econometrics. Cheltenham, UK: Elgar.
Napier, R. (2007). Anatomy of the Bear: Lessons from Wall Street’s Four Great Bottoms, 2nd ed. Hampshire, UK: Harriman House.
O’Brien, P. C., and Dyck, P. J. (1985). “A Runs Test Based on Run Lengths,” Biometrics, 41.
Pesaran, M. H., and Timmermann, A. (1994). “Forecasting Stock Returns: An Examination of Stock Market Trading in the Presence of Transaction Costs,” Journal of Forecasting, 13(4).
Poon, S., and Granger, C. (2005). “Practical Issues in Forecasting Volatility,” Financial Analysts Journal, 61(1)(January/February).
Prechter, R. R., Jr. (2016). The Socionomic Theory of Finance. Gainesville, GA: Socionomics Institute Press.
——— . (2003). Conquer the Crash. West Sussex, UK: Wiley.
Resnick, B. G., and Shoesmith, G. L. (2002). “Using the Yield Curve to Time the Stock Market,” Financial Analyst Journal, 58(3)(May/June).
Roehner, B. M. (2002). Patterns of Speculation: A Study in Observational Econophysics. Cambridge, UK: Cambridge University Press.
Schaller, H., and van Norden, S. (1997). “Fads or Bubbles?,” Working Paper 97-2, Bank of Canada. Available at http://www.bankofcanada.ca/en/res/wp/1997/wp97-2.html.
Shreve, S. E. (2008). Stochastic Calculus for Finance II: Continuous Time Models. New York: Springer Science + Business Media.
Skidelsky, R. (2009). Keynes: The Return of the Master. New York: Public Affairs (Perseus).
Sornette, D. (2009). “Dragon-Kings, Black Swans and the Prediction of Crises,” International Journal of Terraspace Science and Engineering. arXiv:0907.4290.
Taleb, N. N. (2007). The Black Swan. New York: Random House.
Thaler, R. H. (1992). The Winner’s Curse: Paradoxes and Anomalies of Economic Life. Princeton, NJ: Princeton University Press.
Tirole, J. (1985). “Asset Bubbles and Overlapping Generations,” Econometrica, 53(6)(November).
Treynor, J. L. (1998). “Bulls, Bears, and Market Bubbles,” Financial Analysts Journal, 54(2)(March/April).
Wachtel, P. ed. (1982). Crises in the Economic and Financial Structure. Lexington, MA: Lexington Books.
West, G. (2017). Scale: The Universal Laws of Growth, Innovation, and Sustainability. New York: Penguin/Random House.
Western, D. L. (2004). Booms, Bubbles and Busts in US Stock Markets. New York: Routledge.
Wilmott, P., and Orrell, D. (2017). The Money Formula: Dodgy Finance, Pseudo Science, and How Mathematicians Took Over the Markets. Hoboken, NJ: Wiley.
Woo, W. T. (1987). “Some Evidence of Speculative Bubbles in the Foreign Exchange Markets.” Journal of Money, Credit and Banking, 19(4).
Zhiyong, L., Lambe, B, and Adegbite, E. (2018). “New Bid-Ask Spread Estimators from Daily High and Low Prices,” International Review of Financial Analysis, 60(November).
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Vogel, H.L. (2021). Estimating and Forecasting. In: Financial Market Bubbles and Crashes. Palgrave Macmillan, Cham. https://doi.org/10.1007/978-3-030-79182-7_10
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