Herding or wisdom of the crowd? Controlling efficiency in a partially rational financial market

被引:4
作者
Della Rossa, Fabio [1 ,2 ]
Giannini, Lorenzo [2 ]
DeLellis, Pietro [2 ]
机构
[1] Politecn Milan, Dept Elect Informat & Bioengn, Milan, Italy
[2] Univ Naples Federico II, Dept Elect Engn & Informat Technol, Naples, Italy
来源
PLOS ONE | 2020年 / 15卷 / 09期
关键词
SCALE-FREE NETWORKS; CONSENSUS PROBLEMS; BEHAVIOR; BUBBLES; EMERGENCE; RULES; VS;
D O I
10.1371/journal.pone.0239132
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
Herding has often been blamed as one of the possible causes of market instabilities, ultimately yielding to bubbles and crushes. On the other hand, researchers hypothesized that financial systems may benefit from the so-calledwisdom of the crowd. To solve this apparent dichotomy, we leverage a novel financial market model, where the agents form their expectations by combining their individual return estimation with the expectations of their neighbors. By establishing a link between herding, sociality, and market instabilities, we point out that the emergence of collective decisions in the market is not necessarily detrimental. Indeed, when all the agents tend to conform their expectations to those of one or few leaders, herding might dramatically reduce market efficiency. However, when each agent accounts for a plurality of opinions, thus following the wisdom of the crowd, market dynamics become efficient. Following these observations, we propose two alternative control strategies to reduce market instability and enhance its efficiency.
引用
收藏
页数:16
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