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Smart Beta and Risk Factors Based on IoTs

Qingquan Tony Zhang (), Beibei Li () and Danxia Xie
Additional contact information
Qingquan Tony Zhang: University of Illinois Urbana-Champaign
Beibei Li: Carnegie Mellon University

Chapter Chapter 7 in Alternative Data and Artificial Intelligence Techniques, 2022, pp 129-139 from Palgrave Macmillan

Abstract: Abstract Artificial intelligence enables the Internet of Things to acquire perception and recognition capabilities, and the Internet of Things (IoT) provides AI with data for training algorithms. The combination of IoT and AI generates and collects massive data, and stores it in device terminals, edge terminals, or on the cloud. Then, the data can be intelligently analyzed through machine learning, so as to realize the digitalization and intelligent connection of all things. Therefore, in this chapter, we will detail a series of risk measurement models based on IoT and their.

Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:pal:psircp:978-3-031-11612-4_7

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DOI: 10.1007/978-3-031-11612-4_7

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