AN EMPIRICAL ANALYSIS OF CAUSAL RELATIONSHIP BETWEEN STOCK MARKET AND MACROECONOMIC VARIABLES IN INDIA
Journal Title: International Journal of Computer Science and Management Studies (IJCSMS) www.ijcsms.com - Year 2011, Vol 11, Issue 1
Abstract
The present paper is aimed at studying the nature of the causal relationship between stock prices and macroeconomic variables in India, if any such relationship exists. For this purpose the techniques of unit– root tests, cointegration and the Granger causality test have been applied between the NSE Index Nifty’ and the macroeconomic variables, viz., Real effective economic rate (REER), Foreign xchange Reserve (FER), and Balance of Trade (BoT), Foreign Direct Investment (FDI), Index of industrial production (IIP), Wholesale price index (WPI) using monthly data for the period from 1st April 2006 to 31st March 2010 have been studied. The major findings of the study are (i) there is no co integration between Nifty and all other variables except Wholesale price index (WPI) as per Johansen Co integration test. Therefore causal relationship between such macro economic variables having no co integration with nifty is not established. (ii) Nifty does not Granger Cause WPI and WPI also does not Granger Cause Nifty.
Authors and Affiliations
Ashish Kumar
Enhanced Performance of Database by Automated Self-Tuned Systems
Performance tuning of Database Management Systems (DBMS) is complex as well as challenging task since it involves identification and alteration of several key performance tuning parameters. The quality of tuning and the...
Performance Analysis of Random Peer - to - Peer Communication for a Multiple-Robot System
In this paper, we present a physical implementation of Random Peer-to-Peer (RP2P) communication for use in a multiplerobot system and analyze its performance. Traditionally, multiple-robot systems have either broadcast a...
COMPARATIVE STUDY OF VARIOUS VANET ROUTING PROTOCOLS
Vehicular Ad-hoc Network (VANET) represents a challenging class of mobile ad-hoc networks that enables vehicles to intelligently communicate with each other and with roadside infrastructure. Routing of data in a vehicula...
GENETIC A LGORITHM FOR MULTIPROCESSOR TASK SCHEDULING
Multiprocessor task scheduling (MPTS) is an important and computationally difficult problem. Multiprocessors have emerged as a powerful computing means for running real-time applications especially due to limitation of...
CENTRAL CONVEYING & AUTO FEEDING SYSTEMS FOR AN INJECTION MOLDING SHOP
Nowadays injection molding is probably the most important method of Processing of consumer and industrial goods, and is performed everywhere in the world. The developing of injection molding becomes a competition from da...