How News May Affect Markets’ Complex Structure: The Case of Cambridge Analytica
AbstractThe claim of Cambridge Analytica, a political consulting firm, that it was possible to influence voting behavior by using data mined from the social platform Facebook created a sudden fear in its users of being manipulated; consequently, even the market price of the social platform was shocked.We propose a case study analyzing the effect of this data scandal not only on Facebook stock price, but also on the whole stock market. To such a scope, we consider 15-minutes prices and returns of the set of the NASDAQ-100 components before and after the Cambridge Analytica case. We analyze correlations and Mutual Information among components finding that assets become more correlated and their Mutual Information grows higher. We also observe that correlation and Mutual Information are mutually increasing and seem to follow a master curve. Hence, the market appears more fragile after the Cambridge Analytica event. In fact, as it is well-known in finance, an increase in the average value of correlations augments the systemic risk (i.e., all the market can collapse as a whole) and decreases the possibility of allocating a safe investment portfolio. View Full-Text
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Peruzzi, A.; Zollo, F.; Quattrociocchi, W.; Scala, A. How News May Affect Markets’ Complex Structure: The Case of Cambridge Analytica. Entropy 2018, 20, 765.
Peruzzi A, Zollo F, Quattrociocchi W, Scala A. How News May Affect Markets’ Complex Structure: The Case of Cambridge Analytica. Entropy. 2018; 20(10):765.Chicago/Turabian Style
Peruzzi, Antonio; Zollo, Fabiana; Quattrociocchi, Walter; Scala, Antonio. 2018. "How News May Affect Markets’ Complex Structure: The Case of Cambridge Analytica." Entropy 20, no. 10: 765.
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