Introduction

Portfolio Risk Optimization through OLS Regression,  is a short-duration course that benefits the finance students, financial researchers, financial analysts, brokers , and investors to understand how the impact of regression techniques can benefit them in understanding the statistical long -term relationships between the accounting information and the stock prices. The use of  OLS regression tool is common in setting almost all financial relationships with market-driven information like stock prices. A small exercise is also planned for the viewers to practice and learn the aspects of the captioned topic faster.

Objective

This programme will :

• Introduce the learners to  how the aggregate financials provide efficient information for the stock price prediction by the use of  the regression tool
• Enable the participants to  know how to determine whether the underline variable is truly defining the stock price movements
• Help the students to learn about the process by which  OLS (ordinary least square) regression help in establishing the relationships between the stock prices and the internal aggregate accounting variables
• Faciliate the particiapnts  to learn How the risk of “regression residuals” can be used for portfolio risk optimization purposes

Benefits

The scope of this program is immense since , through audio-lectures and slides, the viewers can learn to use the companies's  historical financial statements in managing their long-term portfolio risks. The method will use the optimization tools which are available in Spreadsheets now a days.

Topics Covered

• Portfolio risk optimization
• OLS regression
• Regression coefficients
• Regression error/residual risk
• Test of Normality, Heteroskedasticity, Autocorrelation , and Multicollinearity
• Portfolio optimization (2 Asset case)

Intended Participants

• Economics Honours Students 
• Statistics Honours Students
• Other Quantitative Discipline Students
• Any one having a basic knowledge of statistics and wanting to know how to optimize their portfolio risk 

Summary

• 3 Videos
• 25 mins of Content(approx)