On the bimodality of the distribution of the S&P 500's distortion: Empirical evidence and theoretical explanations

Journal of Economic Dynamics and Control, 2017, vol. 80, issue C, 34-53

Abstract: After showing that the distribution of the S&P 500's distortion, i.e. the log difference between its real stock market index and its real fundamental value, is bimodal, we demonstrate that agent-based financial market models may explain this puzzling observation. Within these models, speculators apply technical and fundamental analysis to predict asset prices. Since destabilizing technical trading dominates the market near the fundamental value, asset prices tend to be either overvalued or undervalued. Interestingly, the bimodality of the distribution of the S&P 500's distortion confirms an implicit prediction of a number of seminal agent-based financial market models.

Keywords: Stock market dynamics; Bubbles and crashes; Chartists and fundamentalists; Nonlinear dynamics; Bimodality tests; Time series analysis (search for similar items in EconPapers)
JEL-codes: G12 G14 G17 (search for similar items in EconPapers)
Date: 2017
References: Add references at CitEc
Citations: View citations in EconPapers (12)

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Working Paper: On the bimodality of the distribution of the S&P 500's distortion: Empirical evidence and theoretical explanations (2017)
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Persistent link: https://EconPapers.repec.org/RePEc:eee:dyncon:v:80:y:2017:i:c:p:34-53

DOI: 10.1016/j.jedc.2017.05.002

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