Must-Know 4 Quant Finance Concepts For Data Scientists
Combining Quant Finance And Data Science Together
The field of Quantitative Finance revolves around the use of mathematical models to solve problems in finance.
I will present 4 must-know quantitative finance concepts in this article. I recommend every data scientist, who wants to work within the Quantitative Finance field, be familiar with the concepts.
Note: I will keep the explanation of the concepts at a high level because the aim is to ensure the readers are at least aware of the concepts. Once you are familiar with the concepts, I highly recommend building a project to model the concepts.
This article is written for educational purposes only and is not intended to be financial advice. Please seek the guidance of professional investors and financial experts before investing any money.
1. Let’s Understand What Cointegration Is?
Financial data is mostly time-series. Essentially, financial data is represented as a sequence of numerical data points in successive ordermostly order. Time series is a number of observations collected over a successive period of time.
