Relationship Between Nature of Industry and Market Sensitivity
Essay by mohn • February 13, 2017 • Case Study • 1,576 Words (7 Pages) • 1,161 Views
Essay Preview: Relationship Between Nature of Industry and Market Sensitivity
[pic 1]
Corporate Finance Project
on
“Relationship between Nature of Industry and Market Sensitivity”
Submitted by: Group – 1, Section – A
- Akshay Dewan 29NMP07
- Ankur Maheshwari 29NMP11
- Chandan Kumar 29NMP22
- Harshwardhan Padole 29NMP48
- Kanika Dua 29NMP36
- Mohnish Manchanda 29NMP45
- Monu Kumar Sangwan 29NMP44
Contents
Introduction 3
Stock Data 3
Relationship of Sectors with Systematic Risk of Market (NIFTY) 4
Relationship of Sectors with Currency Exchange Rates (INR-$ Rate) 5
IT Services Sector 5
Energy Sector 6
FMCG Sector 7
Relationship of Sectors with Inflation in Indian Economy 8
IT Services Sector 8
Energy Sector 9
FMCG Sector 10
Relationship of Sectors with Exports 11
IT Services Sector 11
Energy Sector 12
FMCG Sector 13
Conclusion 14
Introduction
The project analyses the relationship between nature of industry and market sensitivity. Here, we analyze three sectors i.e.
- IT Services sector
- Energy Sector
- FMCG Sector
Companies that are studied under each sector are:
A | Information Technology |
1 | TCS |
2 | Wipro |
3 | Polaris Consult |
B | Energy/ Power |
1 | ONGC |
2 | Reliance Infra |
3 | Tata Power |
C | FMCG |
1 | P&G |
2 | HUL |
3 | Dabur |
Sensitivity variables for which the relationship is being determined for these stocks and sectors are:
- Systematic Risk of Market (NIFTY)
- Currency Exchange Rate (INR-$ Rate)
- Inflation in Indian Economy
- Exports in Indian Economy
Stock Data
Stock Price data has been obtained for all the nine (9) stocks from NSE website. Stock prices have been collected for the period starting from 1st April 2014 till 31st March 2016 on daily basis. Average returns have been calculated for each stock using symmetric returns method.
Average Return = PT – PT-1[pic 2]
PT-1
Also data for NIFTY i.e. the market variable has also been collected from NSE Website. Total 491 observations for stock prices of each company were used for various calculations during the course of this project.
Relationship of Sectors with Systematic Risk of Market (NIFTY)
Average daily returns for all the stocks were calculated from the stock price data following the symmetric returns methods. Same was done for Nifty price data. Daily Standard deviation was calculated for Nifty and corresponding covariance were calculated for all the stocks in relation to nifty. This was then used to calculate the beta (β) values for all the stocks in different sectors.
Stock | β | Revenue (Bn $) | Weight | Industry Beta (β) |
IT Services Sector | ||||
TCS | 0.33 | 16.54 | 0.79 | 0.39 |
Wipro | 0.55 | 4.03 | 0.19 | |
Polaris Consult | 0.98 | 0.40 | 0.02 | |
FMCG Sector | ||||
P&G | 0.37 | 30.81 | 0.84 | 0.32 |
HUL | 0.07 | 4.53 | 0.12 | |
Dabur | 0.04 | 1.27 | 0.03 | |
Energy Sector | ||||
ONGC | 1.24 | 20.95 | 0.73 | 1.30 |
Reliance Infra | 1.79 | 2.69 | 0.09 | |
Tata Power | 1.26 | 4.97 | 0.17 |
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