Predictive Analytics

Running Head: PREDICTIVE ANALYTICS
PREDICTIVE ANALYTICS
Name of the Student
Name of the University
Author Note

1PREDICTIVE ANALYTICS
Table of Contents
Introduction................................................................................................................................2
Literature Review.......................................................................................................................2
Conclusion..................................................................................................................................4
Reference....................................................................................................................................6

2PREDICTIVE ANALYTICS
Introduction
The uses of analytics in the business have been increased in the past few years. In
order to gain better understanding of the needs and wants of the customers, business
organizations are using the analytical tools. Predictive Analytics has become one of the
increasingly hot topic in the analytics landscape as many companies are realizing that
predictive analytics helps in reducing the risks, making wise decisions as well as creating the
differentiated experiences by the customer. This has resulted into the gaining momentum of
predictive analytics momentum. Hence, this paper will discuss on how predictive analytics
influences trading and the effect of it on the stock market, especially in relation to the rise of
the high-volume trading (Wazurkar, Bhadoria & Bajpai, 2017).
Literature Review
Predictive Analytics changed Stock Market
Human beings are having the superior ability for analyzing the context as well as
developing the hypothesis; however, machine helps us for validating, test as well as
executing it more efficiently. The active traders of the stock market looks for the variety of
the metrics that are based on the past events for deciding regarding buying or selling the
security. Break-even points, bands and moving averages are based on historical data that are
used for forecasting of the future movements of the prices of stocks. Predictive analytics
includes number of series of the statistical techniques (such as machine learning, data mining
and predictive modeling) and uses of statistics (historical and current) for estimating or
predicting the outcomes of future. Hence, predictive analytics looks at the pattern that are
likely for emerging again that allows the investors and businesses for adjusting the uses of
the resources for taking the advantages of the possible events of future (Yang, Mo & Liu,
2015).