The Indian stock market S and P CNX Nifty Index (Nifty) is a well diversified index of 50 companies. Foreign Institutional Investors (FII’s), wield significant influence over daily trading volumes in both the spot and derivative segments in the Indian markets. This tends to impact market volatility and returns. This study attempted to study the effect of FII transaction amounts, derivative turn over amounts and volatility on the performance of the Nifty index. A strong correlation was observed between derivative turnover and the Nifty but the correlation was relatively weaker between the Nifty and FII transaction amounts and Volatility. FII and F&O activity established important tops ahead of major tops in the Nifty. Volatility remained low during periods of significant upside in the stock market but spiked up during market declines. Linear and Non-linear models using multivariate analysis were fit to estimate the Nifty from the respective independent variables. A non linear model involving all three variables provided the best fit and the least deviation from actual values suggesting that interplay of these and other factors drive the performance of the index.
Keywords: Nifty, FII transaction amounts, F&O turnover, Volatility, Nifty forecasting, Linear and Non Linear Models.
Table of Contents
1. Introduction
2. Literature Review
3. Methodology
4. Results
5. Discussion and Analysis
6. Conclusion
Research Objectives and Core Topics
The primary objective of this study is to model and analyze the impact of Foreign Institutional Investor (FII) transaction amounts, derivative turnover (F&O), and market volatility on the performance of the Indian Nifty stock market index to develop accurate estimation models.
- Analysis of the influence of Foreign Institutional Investor (FII) activity on market returns.
- Evaluation of the correlation between derivative turnover and index performance.
- Assessment of market volatility patterns during periods of economic growth and crisis.
- Development and comparison of linear and non-linear multivariate models for index estimation.
Excerpt from the Book
Impact of FII Activity on the Nifty:
The above chart graphically describes the 5 year weekly performance of both the Nifty and FII Activity. With the index tripling from Jan 2005 to Jan 2008, FII flows rose almost 18 fold. The no of registered FII’s rose 160% from 655 to 1706 from January 2005 to December 2009. However there were plenty of fluctuations along the way. Important tops in FII activity were established in December 2005 and October 2007 with FII activity crossing over 50,000 Million Rupees. The stock market correspondingly established tops in May 2006 and January 2008 following which it proceeded to decline by at least 20%. Thus FII activity served as a 3-6 month leading indicator for tops in the Index. Thus the smart money was clearly ahead of major market declines. In fact Griffin et al., 2004 suggest that foreign inflows are predictors of market returns in emerging markets like Thailand, South Korea and India.
Summary of Chapters
1. Introduction: Outlines the significance of the Nifty index as a barometer for the Indian economy and states the study's goal to model its performance based on three key parameters.
2. Literature Review: Reviews existing research on technical and fundamental factors affecting stock markets, including FII flows, derivative trading, and global economic influences.
3. Methodology: Details the use of historical weekly data from 2005–2009 and the statistical approaches, including SPSS multivariate analysis, to estimate the Nifty index.
4. Results: Presents the statistical findings through various tables, comparing linear, quadratic, and non-linear models against actual Nifty values.
5. Discussion and Analysis: Interprets the empirical results, highlighting how FII activity, derivative turnover, and volatility interact to influence market trends over the two distinct economic cycles observed.
6. Conclusion: Summarizes the study's findings, concluding that a non-linear approach provides the most effective fit for estimating the Nifty index based on the studied parameters.
Keywords
Nifty, FII transaction amounts, F&O turnover, Volatility, Nifty forecasting, Linear Models, Non Linear Models, Indian Stock Market, Derivative Trading, Institutional Investors, Market Performance, Multivariate Analysis, Economic Growth, Financial Modeling, Stock Index Estimation.
Frequently Asked Questions
What is the core focus of this research?
The research examines the impact of Foreign Institutional Investor activity, derivative turnover, and market volatility on the Indian Nifty index to create a reliable predictive model.
Which specific variables are analyzed?
The study investigates three independent variables: FII transaction amounts, futures and options (F&O) turnover, and Nifty index volatility.
What is the primary objective of this paper?
The primary goal is to model and analyze how these three specific parameters affect the performance of the Nifty index and to develop a mathematical model that can estimate the index value.
Which scientific methodology is applied?
The authors utilize multivariate analysis using SPSS software, comparing linear, quadratic, and non-linear models against historical weekly data from 2005 to 2009.
What is covered in the main section of the paper?
The paper covers the literature review of existing financial theories, the detailed methodology of data collection, the presentation of statistical results in tabular form, and an analytical discussion of the findings.
How would you characterize this work with keywords?
The work is defined by terms such as Nifty forecasting, FII transaction amounts, F&O turnover, market volatility, multivariate analysis, and non-linear modeling.
How did the researchers handle the lack of volatility data prior to 2007?
Since data on Indian market volatility was unavailable before November 2007, the authors calculated it by observing the historical volatility of the US S&P 500 index and establishing a statistically significant relationship.
What was the conclusion regarding the linearity of the model?
The study concluded that the relationship between the independent variables and the Nifty index is not linear; instead, a non-linear model provided the best fit with the least deviation from actual values.
Did the study find FII activity to be a useful indicator?
Yes, the study suggests that FII activity served as a 3-6 month leading indicator for market tops, indicating that foreign institutional investors often anticipate major market declines.
- Arbeit zitieren
- Rajveer Rawlin (Autor:in), 2011, Multivariate Analysis to get an Estimate of the Indian Stock Market Nifty Index, München, GRIN Verlag, https://www.hausarbeiten.de/document/182366
