1) Title: relationship of VIP Industries Ltd name with Nifty.
2) Author: VAISHNAVI NIMODIYA
3) Introduction: VIP Industries Ltd. – Introduction
VIP Industries Ltd. is one of India’s leading manufacturers and retailers of luggage and travel accessories. The company was established in 1968 and is headquartered in Mumbai, Maharashtra. It is best known for its popular brands such as VIP, Skybags, Aristocrat, and Carlton, which cater to different customer segments.
VIP Industries operates across India and in select international markets, offering products such as suitcases, backpacks, duffel bags, and travel accessories. The company has a strong distribution network with exclusive brand outlets, multi-brand stores, and online platforms. Listed on the National Stock Exchange (NSE) and Bombay Stock Exchange (BSE), VIP Industries plays a significant role in India’s organized luggage market and focuses on innovation, quality, and brand-driven growth.
4) Objective: to calculate beta and observe its significance
5) Literature review: Here are 2 concise Literature Review (LR) points, framed academically and cited from the ABESCO reference, written in a way suitable for your project:
Literature Review
- According to ABESCO (Security Analysis and Portfolio Management), the relationship between an individual stock’s return and the market index can be effectively examined using regression analysis, where the beta coefficient measures the sensitivity of a stock’s returns to market movements. A beta greater than one indicates that the stock is more volatile than the market and tends to amplify market returns.
- ABESCO further explains that R² (coefficient of determination) indicates the extent to which variations in a company’s returns are explained by market returns. A higher R² signifies a stronger market influence on the stock, while a lower R² implies that firm-specific or external factors play a greater role in determining returns.
6) Data collection: data for the company and Nifty 50 was downloaded from NSE india.com for the period first December 2024 to 30th November 2025. Friday closing price were found out, weekly returns of nifty 50 and company were calculated weakly returns of nifty were taken as X and weekly return of VIP Industries Ltd. was taken as Y. Y was regressed on X.
7) Data analysis: Return of VIP Industries Ltd.= 0.894+1.423(Return of Nifty 50)
N= 49, R²= 0.199, F= 11.689, pvalue= 0.001
The above equation shows relationship between return of vip industries and return of nifty 50. Positive sign means there is a direct relationship between return of Nifty 50 rise , return of VIP Indutries falls and vice versa. If demand fall by 1 unit the return of vip will fall by 1.423 units. T stats for return of nifty 50 is 3.419 and the P value is 0.001 so price is statistical is significant at 1% level, , n is 49 so the number of observations are 49. R² is 0.199 which means 20% of return of vip industries depends on price, in other words 20% of variances of return of vip industries are explained by price. 80% is the error due to the variables which are not included in the model. F is 11.689, P value is 0.001 which is less than 0.01 , that means the model is statistically significant.
8) conclusion: is beta is more than 1, invest in the company for short term if Nifty is to rise.
9) Reference: 1. Nseindia, histrocal data, equity (VIP Indutries ltd)
2. nseindia, histrorical data index