The Effect of Macroeconomic Variables on Stock Prices in Emerging Stock Market : Empirical Evidence From India

2011 ◽  
Vol 4 (6) ◽  
pp. 1-4
Author(s):  
Dr.V.Ramanujam Dr.V.Ramanujam ◽  
◽  
L.Leela L.Leela
2004 ◽  
Vol 43 (4II) ◽  
pp. 619-637 ◽  
Author(s):  
Muhammad Nishat ◽  
Rozina Shaheen

This paper analyzes long-term equilibrium relationships between a group of macroeconomic variables and the Karachi Stock Exchange Index. The macroeconomic variables are represented by the industrial production index, the consumer price index, M1, and the value of an investment earning the money market rate. We employ a vector error correction model to explore such relationships during 1973:1 to 2004:4. We found that these five variables are cointegrated and two long-term equilibrium relationships exist among these variables. Our results indicated a "causal" relationship between the stock market and the economy. Analysis of our results indicates that industrial production is the largest positive determinant of Pakistani stock prices, while inflation is the largest negative determinant of stock prices in Pakistan. We found that while macroeconomic variables Granger-caused stock price movements, the reverse causality was observed in case of industrial production and stock prices. Furthermore, we found that statistically significant lag lengths between fluctuations in the stock market and changes in the real economy are relatively short.


2010 ◽  
Author(s):  
Bekir Elmas ◽  
Ömer Esen

The stock price has a close relationship with some macroeconomic variables. As examples of the main macroeconomic variables can be shown that exchange rates, inflation, interest rate, growth rates. This paper empirically examined the relationship between the local stock market indexes and exchange rate (USD) in six Eurasian countries namely Turkey, Germany, France, Netherlands, Russia, France and India. The paper set out by testing existence of a long-term relationship between considered two variables using the Engle-Granger (1987), Johansen (1988, 1995) and Johansen-Juselius (1990) cointegration methods. Results of Engle- Granger cointegration test showed that there is no cointegration linkage between two variables under consideration. Furthermore, The Johansen cointegration test found that there is a long-term relationship between two variables (variables in the two countries). Under the VAR (Vector Autoregressive) and VEC (Vector Error Correction) models appllied the Granger causality test, revealed an unidirectional casual relationship between two variables in each of the six countries. In addition as regards the relationship While there is a unidirectional causal relationship running from exchange rate to stock market for four countries. However this relation is casual running from stock market to exchange rate for other two countries. According to the direction of the relationship these results that relationship between stock prices and exchange rate in four countries supports for the “Traditional Approach”. Furthermore, this relation also supports for the “Portfolio Approach” for other two countries.


Author(s):  
Maria Pinita Angelia ◽  
Rudi Purwono

This study aims to identify the convergence of financial sector development and the effect of macroeconomic variables on each financial sector development indicator in Asia. The sample used consists of 24 countries in Asia during the period 2010-2018. Identification of convergence using ?-convergence absolute and conditional. Indicators are used to represent the development of the financial sector namely private credit, liquid liabilities, stock market capitalization, and stock market turnover. Empirical evidence was based on the Generalized Method of Moment (GMM) estimation technique. The results showed that there was convergence in Asia and that macroeconomic variables had a significant effect on the development of the financial sector.


2011 ◽  
Vol 3 (2) ◽  
pp. 125-142
Author(s):  
Adnan Javed ◽  
Muhammad Rafiq ◽  
Sarfaraz Khan ◽  
Muhammad Mohsin Khan

Author(s):  
Jesper Rangvid

This chapter studies how yields, growth, and valuation changes, introduced in the previous chapter, relate to economic activity in the long run.The chapter discusses reasons why there could be a relation between drivers of stock returns and economic growth in the first place. It also presents the empirical evidence. Aggregate earnings has historicallylined up with growth in total economic activity.Also, GNP per capitahas grown alongside stock prices, dividends per share, and earnings per share. Since the 1980s, though, share prices have risen relative to earnings and dividends, partly because firms have used earnings to buy back shares. Similarly, the aggregate value of the stock market has outpaced aggregate GDP during recent decades. The chapter discusses potential explanations.


Pravaha ◽  
2018 ◽  
Vol 24 (1) ◽  
pp. 64-82
Author(s):  
Dipendra Education Karki

This study empirically examines the macro-economic factors of the stock market performance in Nepal. It considers the annual data of four macroeconomic variables; real GDP, inflation, interest rate and broad money supply from 1994 to 2016 and attempts to reveal the relative influence of these variables on stock prices represented by ‘NEPSE Index’ of the Nepalese capital market. Empirical results reveal that the performance of stock market is found to respond positively to real GDP, inflation and money supply, and negatively to interest rate. More importantly, cointegrating evidence cannot be found between macroeconomic variables and stock market index which suggests that stock price movements in Nepal are not explained by the macroeconomic variables. It supports random walk hypothesis in Nepalese stock market.Pravaha Vol. 24, No. 1, 2018, Page: 64-82


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