Big Data Analytics for Internet of Things

16Two Decades of Big Data in Finance : Systematic Literature Review and Future Research Agenda

Nufazil Altaf

School of Business Studies, Central University of Kashmir, Kashmir, India

16.1 Introduction

[1] defined “Big data analytics” as a combination of two words “big data” and “analytics.” While big data refers to the voluminously large datasets, analytics refers to using these datasets to reveal patterns, trends, and associations that can be applied as a solution to various complex problems [2]. The past decade witnessed the growth in the application of big data analytics to the area of finance, particularly to the stock market finance. Finance practitioners viewed big data analytics as a powerful tool to improve the risk analysis process, enhance the fraud detection and prevention, and change the trade and investment paradigm from “of no moment” to “real‐time” settlement [3]. Not surprising, many scholarly evidence also emerged that elaborated upon the application of big data analytics to the finance industry [3–8]. Specifically, these researchers viewed the application of big data to various finance businesses like crowd‐funding, crypto‐currency, wealth management, SME finance, asset–liability management, trading platforms, payment and settlement system, and so on. These businesses generate an enormous amount of data and therefore the management of such data is an important factor in these businesses (Hasan et al. [3]). In line with this, big data has received overwhelming ...