What is Quantitative Finance
Quantitative Finance is also known as Mathematical Finance and it is a field of applied mathematics which is related with financial markets. Mathematical finance also overlaps with computational finance and financial engineering. There are a lot of advanced quantitative techniques which are used in different fields in today’s world.
Course Objectives
At the end of this course you will be able to
Pre requisites for taking this course
This course requires a basic understanding of quantitative methods and basic modelling concepts. Other than this basic computer and internet knowledge is required to take up this course.
Target Audience for this course
The target audience of this course includes
Course Description
Section 1: Overview of SAS and Quantitative Finance
Introduction to SAS Quantitative Finance
SAS is the most comprehensive statistical analysis software used widely in the world. SAS offers data analysis solutions to almost all fields through various statistical models. Each analysis in SAS is performed through a subroutine called procedure (PROC). PROC QTL is a user defined SAS procedure which is used to map quantitative trait loci. SAS can be used for learning statistics and quantitative methods. This chapter gives a quick introduction to SAS and Quantitative finance in SAS.
Installation of SAS
This chapter explains how to install SAS software for different OS. The system requirements of SAS are also included in this chapter
SAS System & Means Procedure
The MEANS procedure is a data summarization tool which is used to calculate descriptive statistics for all observations and within group of observations. PROC MEANS and PROC SUMMARY are more similar to each other. PROC MEANS gives a output and there are two types of such output – PROC MEANS default output and PROC MEANS Customized Output. PROC MEANS is also used to perform a t test. In this chapter the PROC MEANS, its output, syntax, task and statistical computations are explained in detail.
Section 2: Concept of T Test
T Test
The TTEST procedure in SAS is used to perform t tests for one sample, two sample and paired observations. The assumptions of all these three t tests are given in this chapter. The topics covered in this section are
Practical of T Test
Three examples are given in this section to make you understand about t tests easily
Section 3: Correlation Theory
Introduction to Correlation theory
Correlation is a method where one variable increases and the other variable decreases. For example, if there is a rise in temperature it will also lead to a rise in the sales of ice creams. This is called positive correlation. Correlation analysis deals with relationship among variables. The correlation coefficient lets researchers to measure if there is a possible linear relationship between two variables measured on the same subject. The values of the correlation coefficient are always between -1 and +1. There are different types of correlation coefficients used for different situation. The most common is the Pearson correlation coefficient. This chapter contains more details about the correlation theory and explains its types in detail.
Interpretation of SAS Output
The output produced by PROC CORR in SAS gives a lot of useful information. The output contains information regarding the list of variables included in the analysis. Next it provides a list of simple statistics for each variable in the analysis. This list contains the number of observations, mean, standard deviation, sum, minimum and maximum. One list contains each variable and their label. Finally the correlation measures are provided in the output. The output will be named “Pearson Correlation Coefficient” by default. The results will be displayed in a cross tabular format with the values of one on the diagonal. This section explains the output and correlation procedure using an example.
Correlation theory and implementation in SAS
The PROC CORR procedure is used to measure correlation in SAS. This procedure will provide correlation measures of multiple variables which is in a cross tabular format. The syntax used for correlation in SAS is mentioned in detail along with its parameters which are mentioned below
This chapter will let you learn how to use the CORR procedure to tell SAS to calculate Pearson Correlation Coefficient. You will also learn how to tell SAS to perform other alternative coefficients. You will learn to read typical correlation procedure output in SAS and interpret a correlation coefficient.
Section 4: Regression Modelling
Introduction to Regression Modelling
Regression analysis is the analysis of relationship between a response and the another set of variable. The regression analysis finds out a response variable and parameters. In order to perform regression analysis in SAS the PROC REG procedure is used. This procedure will provide regression analysis for multiple variables. The syntax for the procedure is explained in detail which contains
There are different types of regression which are also explained in this chapter in detail with examples
In this chapter you will learn how to use the REG procedure in SAS to calculate regression equation between two numeric variables. You will also learn how to use MODEL and PLOT statement to inform SAS how each variable should be treated. Here you will learn how to use the REG procedure to conduct regression analysis in SAS which involves quadratic terms and transformed variables.
Regression Modelling in SAS System
This lesson will help you to find how SAS can be used to test whether the data meets the assumptions ofLinear regression. In this chapter the following assumptions are considered
Analysis of Variance
ANOVA is SAS is done using PROC ANOVA. It is used to perform ANOVA for balanced data from a wide variety of experimental designs. ANOVA is used to compare the means of multiple groups. The ANOVA procedure is one of the several procedures in SAS. The basic syntax for ANOVA in SAS is given in this chapter with the explanations for each of the parameters used in the syntax. The topics included in this section are
Parameter Estimates
Parameter estimates are a part of PROC REG in SAS. The parameter estimates table and the associated statistics in PROC REG are explained in detail in this chapter using an example.
Example of Maruti vs Sensex
This section contains the example of Maruti Vs Sensex calculation using SAS.
Section 5: Multiple Regression Modelling
Introduction theory to SAS procedures
SAS procedures are used to carry out all form of statistical analysis in SAS. The keyword for procedure in SAS starts with PROC. The most commonly used SAS procedure steps are explained in detail in this chapter.
SAS procedures – Economic Data
The SAS access to financial and economic databases are provided in this chapter and it explains about the DATASOURCE procedure and its features.
Interpretations of SAS Output
This section deals with various types of interpretation of SAS output.
Interpretation of BSE – Sensex
This chapter will help you to understand how SAS is used in the calculation of Sensex.
Interpretation of Forex
Under this chapter you will learn how to interpret Forex.
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Section 1: Overview of SAS & Quantitative Finance
1 |
Introduction to SAS Quantitative Finance |
2 |
Installation of SAS |
3 |
SAS System & Means Procedure |
Section 2: Concept of T-Test
4 |
T-Test |
5 |
Practical of T-Test |
Section 3: Correlation Theory
6 |
Introduction to Correlation theory |
7 |
Interpretation of SAS Output |
8 |
Correlation theory and implementation in SAS |
Section 4: Regression Modeling
9 |
Introduction to Regression Modeling |
10 |
Analysis of Variance |
11 |
Regression Modeling in SAS System |
12 |
Parameter Estimates |
13 |
Example of Regression Models |
14 |
Example of Maruti vs Sensex |
Section 5: Multiple Regression Modeling
15 |
Introduction theory to SAS procedures |
16 |
SAS procedures – Economic Data |
17 |
Interpretations of SAS Output |
18 |
Interpretation of BSE – Sensex |
19 |
Interpretation of Forex |
20 |
Continuation of Interpretation of Forex |
Here is a sample for the course completion certificate which you will receive after complete the course. This certificate is widely accepted across industries and will boost your chances to grab the job opportunities.
Mail us at: shubham.s@youth4work.com with below details to receive your certificate:
Course Certificate:-
Here is a sample for the course completion certificate which you will receive after complete the course. This certificate is widely accepted across industries and will boost your chances to grab the job opportunities.
Mail us at: shubham.s@youth4work.com with below details to receive your certificate:
Course Certificate:-
Section 1: Overview of SAS & Quantitative Finance
1 |
Introduction to SAS Quantitative Finance |
2 |
Installation of SAS |
3 |
SAS System & Means Procedure |
Section 2: Concept of T-Test
4 |
T-Test |
5 |
Practical of T-Test |
Section 3: Correlation Theory
6 |
Introduction to Correlation theory |
7 |
Interpretation of SAS Output |
8 |
Correlation theory and implementation in SAS |
Section 4: Regression Modeling
9 |
Introduction to Regression Modeling |
10 |
Analysis of Variance |
11 |
Regression Modeling in SAS System |
12 |
Parameter Estimates |
13 |
Example of Regression Models |
14 |
Example of Maruti vs Sensex |
Section 5: Multiple Regression Modeling
15 |
Introduction theory to SAS procedures |
16 |
SAS procedures – Economic Data |
17 |
Interpretations of SAS Output |
18 |
Interpretation of BSE – Sensex |
19 |
Interpretation of Forex |
20 |
Continuation of Interpretation of Forex |