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Quantitative Finance with SAS: Apply, Analyze & Evaluate

Ce cours n'est pas disponible en Français (France)

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Quantitative Finance with SAS: Apply, Analyze & Evaluate

Instructeur : EDUCBA

Inclus avec

2 modules

Obtenez un aperçu d'un sujet et apprenez les principes fondamentaux.

12 avis

5 heures à compléter

Planning flexible

Apprenez à votre propre rythme

2 modules

Obtenez un aperçu d'un sujet et apprenez les principes fondamentaux.

12 avis

5 heures à compléter

Planning flexible

Apprenez à votre propre rythme

Ce que vous apprendrez

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.

Compétences que vous acquerrez

Catégorie : Financial Modeling
Catégorie : Statistical Hypothesis Testing
Catégorie : Time Series Analysis and Forecasting
Catégorie : Risk Modeling
Catégorie : Correlation Analysis
Catégorie : Financial Market
Catégorie : Descriptive Statistics
Catégorie : Statistical Programming
Catégorie : Data Analysis Software
Catégorie : Financial Data
Catégorie : Regression Analysis
Catégorie : Descriptive Analytics
Catégorie : Statistical Modeling
Catégorie : Quantitative Research
Catégorie : Statistical Analysis
Catégorie : Statistical Methods
Catégorie : Statistical Reporting
Catégorie : Market Data

Outils que vous découvrirez

Catégorie : SAS (Software)
Catégorie : Risking

Détails à connaître

Certificat partageable

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Évaluations

7 devoirs

Enseigné en Anglais

91%

of learners achieved a positive career outcome

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Il y a 2 modules dans ce cours

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.

Détails du module

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.

Inclus

14 vidéos4 devoirs

14 vidéosTotal 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 devoirsTotal 60 minutes

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