Big Data Analytics in Financial Market
نویسنده
چکیده
Big data plays a serious role within the business for creating higher predictions over business information that is collected from the real world. Finance is that the new sector wherever the big data technologies like Hadoop, NoSQL are creating its mark in predictions from financial data by the analysts. It’s a lot of fascinating within the stock exchange choices which might predict on a lot of profits of stock exchange. For this stock exchange analysis each regular information and historical information of specific stock exchange are needed for creating predictions. There are varied techniques used for analyzing the unstructured information like stock exchange reviews (day-to-day information) and historical statistic of economic information severally. This paper involves discussion regarding the strategies that square measure used for analyzing each varieties of information.
منابع مشابه
Big Data Analytics and Now-casting: A Comprehensive Model for Eventuality of Forecasting and Predictive Policies of Policy-making Institutions
The ability of now-casting and eventuality is the most crucial and vital achievement of big data analytics in the area of policy-making. To recognize the trends and to render a real image of the current condition and alarming immediate indicators, the significance and the specific positions of big data in policy-making are undeniable. Moreover, the requirement for policy-making institutions to ...
متن کاملApplication of Big Data Analytics in Power Distribution Network
Smart grid enhances optimization in generation, distribution and consumption of the electricity by integrating information and communication technologies into the grid. Today, utilities are moving towards smart grid applications, most common one being deployment of smart meters in advanced metering infrastructure, and the first technical challenge they face is the huge volume of data generated ...
متن کاملA Fuzzy TOPSIS Approach for Big Data Analytics Platform Selection
Big data sizes are constantly increasing. Big data analytics is where advanced analytic techniques are applied on big data sets. Analytics based on large data samples reveals and leverages business change. The popularity of big data analytics platforms, which are often available as open-source, has not remained unnoticed by big companies. Google uses MapReduce for PageRank and inverted indexes....
متن کاملHarnessing Internet finance with innovative cyber credit management
In the last two decades, Internet technologies, such as cloud computing, mobile communications, social media, and big data analytics, have brought tremendous changes to our society and reshaped the business in various industries. Specifically, the mushrooming innovations in the financial area fertilized by information and communication technologies indicates the advent of the Internet finance e...
متن کاملApplying big data technologies in the financial sector – using sentiment analysis to identify correlations in the stock market
The aim of this article is to introduce a system that is capable of collecting and analyzing different types of financial data to support traders in their decision-making. Oracle’s Big Data platform Oracle Advanced Analytics was utilized, which extends the Oracle Database with Oracle R, thus providing the opportunity to run embedded R scripts on the database server to speed up data processing. ...
متن کاملReal Time Analytics: Algorithms and Systems
Velocity is one of the 4 Vs commonly used to characterize Big Data [27]. In this regard, Forrester remarked the following in Q3 2014 [94]: “The high velocity, white-water flow of data from innumerable real-time data sources such as market data, Internet of Things, mobile, sensors, clickstream, and even transactions remain largely unnavigated by most firms. The opportunity to leverage streaming ...
متن کامل