Accuracy-Risk Trade-Off Due to Social Learning in Crowd-Sourced Financial Predictions
A critical question relevant to the increasing importance of crowd-sourced-based finance is how to optimize collective information processing and decision-making. Here, we investigate an often under-studied aspect of the performance of online traders: beyond focusing on just accuracy, what gives ris...
| Main Authors: | , , , , , |
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| Format: | Article |
| Published: |
Entropy
2021
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| Online Access: | https://hdl.handle.net/1721.1/131062 |