Diagnostics of Rational Expectation Financial Bubbles with Stochastic Mean-Reverting Termination Times
Li Lin, Didier Sornette

TL;DR
This paper introduces two rational expectation models for transient financial bubbles with stochastic mean-reverting termination times, providing analytical solutions and tests to diagnose and forecast bubble terminations in financial markets.
Contribution
The paper develops explicit analytical models and novel diagnostic tests for financial bubbles, accounting for heterogeneous agents and stochastic bubble durations.
Findings
Models successfully diagnose bubbles in historical data
Operational procedures forecast bubble end times
Empirical tests suggest feasibility of early warning signals
Abstract
We propose two rational expectation models of transient financial bubbles with heterogeneous arbitrageurs and positive feedbacks leading to self-reinforcing transient stochastic faster-than-exponential price dynamics. As a result of the nonlinear feedbacks, the termination of a bubble is found to be characterized by a finite-time singularity in the bubble price formation process ending at some potential critical time , which follows a mean-reversing stationary dynamics. Because of the heterogeneity of the rational agents' expectations, there is a synchronization problem for the optimal exit times determined by these arbitrageurs, which leads to the survival of the bubble almost all the way to its theoretical end time. The explicit exact analytical solutions of the two models provide nonlinear transformations which allow us to develop novel tests for the presence of bubbles…
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Taxonomy
TopicsComplex Systems and Time Series Analysis · Financial Markets and Investment Strategies · Financial Risk and Volatility Modeling
