2013
DOI: 10.1016/j.physa.2013.05.011
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Clarifications to questions and criticisms on the Johansen–Ledoit–Sornette financial bubble model

Abstract: The Johansen-Ledoit-Sornette (JLS) model of rational expectation bubbles with finite-time singular crash hazard rates has been developed to describe the dynamics of financial bubbles and crashes. It has been applied successfully to a large variety of financial bubbles in many different markets. Having been developed over a decade ago, the JLS model has been studied, analyzed, used and criticized by several researchers. Much of this discussion is helpful for advancing the research. However, several serious misc… Show more

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Cited by 69 publications
(56 citation statements)
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“…This is illustrated in Figure 8, in which a positive bubble pattern can be seen in the S&P500 in the years before, and a negative bubble pattern in the period during the crisis. Calibrating this model and its siblings developed in our group is not easy [19]. Extreme care should be exercised to prevent over-fitting (when a good apparent fit is the result of mere chance) and obtain robust calibrations.…”
Section: Diagnosing Bubblesmentioning
confidence: 99%
“…This is illustrated in Figure 8, in which a positive bubble pattern can be seen in the S&P500 in the years before, and a negative bubble pattern in the period during the crisis. Calibrating this model and its siblings developed in our group is not easy [19]. Extreme care should be exercised to prevent over-fitting (when a good apparent fit is the result of mere chance) and obtain robust calibrations.…”
Section: Diagnosing Bubblesmentioning
confidence: 99%
“…Consequently, the condition of no-arbitrage translates into a proportionality between the crash hazard rate and the instantaneous conditional return: as the return increases, the crash hazard rate grows and a crash eventually breaks the price unsustainable ascension. See Sornette et al (2013) for a recent review of many of these models.…”
Section: Super-exponential Return: Bubble Behavior Before the Crashmentioning
confidence: 99%
“…These parameters are subject to the following constraints as proposed by Sornette et al [39]: 0 < m < 1, 6 ≤ ω ≤ 13, B < 0, |C| < 1, t ≤ t c .…”
Section: Adjusting Proceduresmentioning
confidence: 99%