Quantitative Finance with SAS: Apply, Analyze & Evaluate

Instructor: EDUCBA

Access provided by CSU Sacramento, College of Business

2 modules

Gain insight into a topic and learn the fundamentals.

12 reviews

5 hours to complete

Flexible schedule

Learn at your own pace

2 modules

Gain insight into a topic and learn the fundamentals.

12 reviews

5 hours to complete

Flexible schedule

Learn at your own pace

What you'll learn

Apply SAS for descriptive statistics, correlations, regressions, and variance models.
Forecast economic and financial trends using SAS procedures on real datasets.
Analyze stock indices, forex, and market risks for data-driven decision-making.

Skills you'll gain

Tools you'll learn

Details to know

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Assessments

7 assignments

Taught in English

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There are 2 modules in this course

This comprehensive course introduces learners to the practical applications of SAS in quantitative finance, combining foundational statistical concepts with advanced market data analysis.

In Module 1, learners explore the SAS environment, conduct descriptive statistics, apply T-Tests, interpret correlation, and build regression and variance models to evaluate financial data. In Module 2, participants progress to advanced applications by applying SAS procedures to economic datasets, forecasting financial trends, and analyzing real-world financial markets including the BSE Sensex and forex. By the end of this course, learners will be able to analyze financial datasets, apply SAS procedures to real-world economic and market scenarios, interpret statistical outputs accurately, and evaluate financial risks for data-driven decision-making.

This module introduces learners to the essential foundations of using SAS for quantitative finance. Participants will explore the SAS environment, apply statistical testing techniques, and interpret regression and variance models. By the end of this module, learners will be able to confidently use SAS tools to analyze financial data, evaluate relationships among variables, and apply regression modeling techniques to real-world market scenarios.

What's included

14 videos4 assignments

14 videosTotal 122 minutes

Introduction to SAS Quantitative Finance3 minutes
Installation of SAS12 minutes
SAS System & Means Procedure4 minutes
T-Test10 minutes
Practical of T-Test11 minutes
Introduction to Correlation theory11 minutes
Interpretation of SAS Output6 minutes
Correlation theory and implementation in SAS7 minutes
Introduction to Regression Modeling12 minutes
Analysis of Variance11 minutes
Regression Modeling in SAS System11 minutes
Parameter Estimates8 minutes
Example of Regression Models8 minutes
Example of Maruti vs Sensex9 minutes

4 assignmentsTotal 60 minutes

Graded - Foundations of SAS in Quantitative Finance30 minutes
Getting Started with SAS10 minutes
Statistical Testing with SAS10 minutes
Regression and Variance Analysis10 minutes

This module focuses on advanced applications of SAS in analyzing financial market data and economic trends. Learners will explore essential SAS procedures for handling economic datasets, interpret outputs with statistical accuracy, and apply these techniques to real-world financial data such as the BSE Sensex and foreign exchange markets. By the end of the module, participants will be equipped to evaluate economic data, interpret financial indicators, and analyze market volatility using SAS for quantitative finance.