Lack of Critical Slowing Down Suggests that Financial Meltdowns Are Not Critical Transitions, yet Rising Variability Could Signal Systemic Risk

被引:39
作者
Guttal, Vishwesha [1 ]
Raghavendra, Srinivas [2 ,3 ]
Goel, Nikunj [1 ]
Hoarau, Quentin [1 ,4 ]
机构
[1] Indian Inst Sci, Ctr Ecol Sci, Bengaluru 560012, Karnataka, India
[2] Natl Univ Ireland, JE Cairnes Sch Business & Econ, Galway, Ireland
[3] Indian Inst Sci, Ctr Contemporary Studies, Bengaluru 560012, Karnataka, India
[4] Ecole Normale Super, F-94235 Cachan, France
关键词
EARLY WARNING SIGNAL; REGIME SHIFTS; TIPPING POINT; MARKET; VOLATILITY; DYNAMICS; BEHAVIOR; ECOLOGY; MODEL; TIME;
D O I
10.1371/journal.pone.0144198
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Complex systems inspired analysis suggests a hypothesis that financial meltdowns are abrupt critical transitions that occur when the system reaches a tipping point. Theoretical and empirical studies on climatic and ecological dynamical systems have shown that approach to tipping points is preceded by a generic phenomenon called critical slowing down, i.e. an increasingly slow response of the system to perturbations. Therefore, it has been suggested that critical slowing down may be used as an early warning signal of imminent critical transitions. Whether financial markets exhibit critical slowing down prior to meltdowns remains unclear. Here, our analysis reveals that three major US (Dow Jones Index, S&P 500 and NASDAQ) and two European markets (DAX and FTSE) did not exhibit critical slowing down prior to major financial crashes over the last century. However, all markets showed strong trends of rising variability, quantified by time series variance and spectral function at low frequencies, prior to crashes. These results suggest that financial crashes are not critical transitions that occur in the vicinity of a tipping point. Using a simple model, we argue that financial crashes are likely to be stochastic transitions which can occur even when the system is far away from the tipping point. Specifically, we show that a gradually increasing strength of stochastic perturbations may have caused to abrupt transitions in the financial markets. Broadly, our results highlight the importance of stochastically driven abrupt transitions in real world scenarios. Our study offers rising variability as a precursor of financial meltdowns albeit with a limitation that they may signal false alarms.
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页数:20
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