scholarly journals Can Macroeconomic Variables Explain Long Term Stock Market Movements? A Study of Nepali Capital Market

2016 ◽  
Vol 1 (1) ◽  
pp. 26-38 ◽  
Author(s):  
Niranjan Phuyal
Keyword(s):  
Stock Market ◽  
Stock Prices ◽  
Emerging Market ◽  
Wald Test ◽  
Stock Market Index ◽  
Monthly Basis ◽  
Macroeconomic Variables ◽  
Long Run ◽  
Short Run

The quest of whether there is a long-run relation between macroeconomic variables and stock prices has found significant place in literature of finance. An existence of such relation would assure long-term investors a confidence in the market as long as the macroeconomic environment is sound. This study investigated using Johansen’s cointegration method, whether a long-term association of selected macroeconomic variables existed with stock prices in the emerging market like Nepali stock market. For this objective, monthly data from January 2003 to December 2012 were used with a set of six macroeconomic variables and stock market return. The results indicated that the Nepali stock market had a long run equilibrium relationship with a set of macroeconomic variables, like inflation rate, interest rate and remittance flow with the short term disequilibrium corrected by 1.79% on monthly basis. It further showed that there was Granger causality between them. In the short run, the stock market index was affected by the lag values of NEPSE index up to six levels and remittance income, as shown by Wald test. These findings hold practical implications for policy makers, stock market regulators, investors and stock market analysts.Journal of Business and Management Studies Vol.1(1) 2016: 26-38

scholarly journals The long-Run and Short-Run Analysis between Stock Market Index and Macroeconomic Variables in Jordan: Bounds Tests Approach

2019 ◽  
Vol 12 (4) ◽  
pp. 50
Author(s):  
Raed Walid Al-Smadi ◽  
Muthana Mohammad Omoush
Keyword(s):  
Stock Market ◽  
Time Series Data ◽  
Stock Exchange ◽  
Series Data ◽  
Stock Market Index ◽  
Macroeconomic Variables ◽  
Market Index ◽  
Long Run ◽  
Equilibrium Relationship ◽  
Short Run

This paper investigates the long-run and short-run relationship between stock market index and the macroeconomic variables in Jordan. Annual time series data for the 1978–2017 periods and the ARDL bounding test are used. The results identify long-run equilibrium relationship between stock market index and the macroeconomic variables in Jordan. Jordanian policy makers have to pay more attention to the current regulation in the Amman Stock Exchange(ASE) and manage it well, thus ultimately helping financial development.

Dynamic Relationship Between Stock Market Sector Indices and Macroeconomic Variables in India

2019 ◽  
Vol 1 (2) ◽  
pp. 31-41
Author(s):  
Neeru Gupta ◽  
Ashish Kumar
Keyword(s):  
Stock Market ◽  
Stock Prices ◽  
Positive Relationship ◽  
Short Term ◽  
Macroeconomic Factors ◽  
Macroeconomic Variables ◽  
Market Sector ◽  
Long Run ◽  
Integration Test

This study investigates the long-term and short-term relationships between selected macroeconomic variables and the selected Indian stock market sector indices over the period of 2010 to 2017. The Johansen Co-integration Test, the Vector error correction model (VECM), is applied to calculate the long-term and short-term relationship between sector indices and macroeconomic variables. It is found that stock prices are exposed to macroeconomic factors, but the level of sensitivity is different in different sectors. Out of five sectors taken in the study, it is found that only the realty sector has long run relationship with macroeconomic variables. Other sectors have no long run relationship with macroeconomic variables. Along with this, it is also found that the Auto index has a significant short-term positive relationship with gold prices and the FMCG sector index has a significant short-term positive relationship with industrial production. The consumer price index and exchange rate have significant short run relationship with realty sector index.

scholarly journals Empirical Relationship between Macroeconomic Variables and Stock Prices of Indian Banking Sector: A Vector Error Correction Model Approach

2020 ◽  
Vol 12 (2) ◽  
pp. 189-198
Author(s):  
Aastha Khera ◽  
◽  
Neelam Dhanda ◽  
Keyword(s):  
Exchange Rate ◽  
Stock Market ◽  
Stock Prices ◽  
Banking Sector ◽  
Empirical Relationship ◽  
Correction Model ◽  
Macroeconomic Variables ◽  
Foreign Reserve ◽  
Long Run ◽  
Short Run

This existing study aims to investigate the relationship between Indian Bankingstock market prices and macroeconomic variables. The proxy for the Indian Banking stockmarket is Nifty Bank while Foreign Reserve, Exchange Rate (Indian vs US Dollar), Interestrate, and CPI are proxies of macroeconomic variables. Johansen Cointegration and VectorError Correction Model (VECM) on monthly data from January 2013 to July 2020 have beenapplied. Considering the results of cointegration, it is found that there is a long-run asso-ciation between the Indian Banking stock market and constituent macroeconomic variables.Next, the employment of VECM is done for inspecting long run and short-run causality.The result reveals long-run equilibrium in Indian commercial bankís stock prices comingfrom macroeconomic variables. This study has considerable imputations that investors candiversify their portfolio according to the ináuencing power of constituent selected macro-economic variables in the short run and the long run. Exchange rate and foreign reservesdrive the banking stock market in the short run whereas CPI and Interest rate do not createany signiÖcant impact.

scholarly journals Cointegration and Causality between Macroeconomic variables and Stock Prices: Empirical Analysis from Indian Economy

2015 ◽  
Vol 5 (2) ◽  
pp. 327 ◽  
Author(s):  
Pooja Joshi ◽  
A. K. Giri
Keyword(s):  
Stock Market ◽  
Stock Prices ◽  
Negative Relationship ◽  
Real Effective Exchange Rate ◽  
Macroeconomic Variables ◽  
Distributed Lag ◽  
Crude Oil Prices ◽  
Long Run ◽  
Short Run ◽  
Bounds Test

<p class="ber"><span lang="EN-IN">The study aims at examining how fiscal fundamental macroeconomic variables affect the performance of the stock market in India by using monthly data from April 2004- July 2015. The study makes use of Ng-Perron unit root tests to check the non-stationarity property of the series; the Auto Regressive Distributed Lag (ARDL) bounds test and a Vector Error Correction Model (VECM) for testing both short and long run dynamic relationships. The variance decomposition (VDC) is used to predict the exogenous shocks of the variables. The findings of the bounds test </span><span lang="EN-GB">confirm that there exists a long-run co-integrating relationship between different macroeconomic variables and the stock prices in India. The ARDL result suggests a long-run negative relationship exists between crude oil prices, inflation and stock prices. The results of the influence of both the variables on stock prices are consistent in the short run as well. The results of the short-run estimation confirm positive and significant relationship for Gold, T-bill rates and Real Effective Exchange Rate. The VECM result shows a bidirectional causality is running between Inflation and CNX nifty index. Further, the result indicates the presence of long run causality for the equation with a CNX nifty index as the dependent variable. The results of VDC analysis and IRF show that a major percentage of stock prices change is its own innovative shocks. The study implies that appropriate policy measures should be taken by the proficient authorities for the purpose of controlling inflation, which ultimately leads to the control of volatility of the stock market.</span></p>

Macroeconomic Factors and Pakistani Equity Market”

2004 ◽  
Vol 43 (4II) ◽  
pp. 619-637 ◽  
Author(s):  
Muhammad Nishat ◽  
Rozina Shaheen
Keyword(s):  
Stock Market ◽  
Industrial Production ◽  
Stock Prices ◽  
Stock Price ◽  
Consumer Price Index ◽  
Reverse Causality ◽  
Macroeconomic Factors ◽  
Macroeconomic Variables ◽  
Equilibrium Relationships

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.

scholarly journals Relations and Emotions beyond the Boundaries in the Post Crisis Era – An Analysis of the Impact of Selected Variables on the Indian Stock Market

2018 ◽  
Vol 4 (8) ◽  
pp. 72
Author(s):  
Pooja Yadav ◽  
Nitin Huria
Keyword(s):  
Stock Market ◽  
Global Economy ◽  
Stock Index ◽  
Asia Pacific ◽  
Macroeconomic Variables ◽  
Long Run ◽  
Short Run ◽  
Current Scenario ◽  
Indian Stock Market ◽  
The Impact

From a decade or so Indian continent has become the centre of attraction in the global economies. This changed outlook is due to the fact that India embraces vast availability of resources and opportunities which makes it the most vibrant global economy in the current scenario of worldwide sluggishness. On this path of growth and prosperity India is showing stiff commitments and competitive edges with developed as well as emerging countries. To be more specific, during this voyage in the Asia pacific region recently on one side India has seen stronger bonding with some of its old mates like Japan but on the other part it has faced strain like situation from its stronger competitor contender china on the same time. Hence, in this context the main aim of this paper is to examine the long run and short run equilibrium impacts of Japan and Chinese stock index as well as macroeconomic variables impact on Indian stock market. This paper finds the presence of both long and short run equilibrium impacts from China and Japan to India. In case of Japanese financial market (Nikki 225) has a trivial negative but significant long run impact whereas, the Chinese stock index (SSE composite) is operating at the short run with the same mild negative but significant impact on the Indian stock market. The results of the impact of macroeconomic variables find the existence of long run as well as short run equilibrium from some of the selected variables on Indian stock market.

A Sectoral Analysis of the Role of Stock Market Development on Economic Growth: Empirical Evidence from Indian Economy

2017 ◽  
Vol 18 (4) ◽  
pp. 911-923 ◽  
Author(s):  
Madhu Sehrawat ◽  
A.K. Giri
Keyword(s):  
Economic Growth ◽  
Stock Market ◽  
Stock Prices ◽  
Stock Price ◽  
Time Series Data ◽  
Trade Openness ◽  
Series Data ◽  
Causality Test ◽  
Long Run ◽  
Short Run

The present study examines the relationship between Indian stock market and economic growth from a sectoral perspective using quarterly time-series data from 2003:Q4 to 2014:Q4. The results of the autoregressive distributed lag (ARDL) approach bounds test confirm the existence of a cointegrating relationship between sector-specific gross domestic product (GDP) and sector-specific stock indices. The empirical results reveal that sector-specific economic growth are significantly influenced by changes in the respective sector-specific stock price indices in the long run as well as in the short run. Apart from that, the control variables, such as trade openness and inflation, act as the instrument variables in explaining the variations in the sector-specific GDP of the economy. The results of Granger causality test demonstrate unidirectional long-run as well as short-run causality running from sector specific stock prices to respective sector GDP. The findings suggest that economic growth of the country is sensitive to respective sub-sector stock market investments. The findings highlight the reasons for cyclical and counter-cyclical business phase for the overall economy.

scholarly journals Impact of Macroeconomic and Demographic Variables on the Stock Market: Evidence from Tunisian Crisis

2016 ◽  
Vol 8 (8) ◽  
pp. 194
Author(s):  
Sirine Ben Yaâla ◽  
Jamel Eddine Henchiri
Keyword(s):  
Stock Market ◽  
Money Supply ◽  
Inflation Rate ◽  
Demographic Variables ◽  
Second Order ◽  
Stock Market Index ◽  
Order Difference ◽  
Market Index ◽  
Long Run ◽  
Short Run

<p>This study aims to analyze the long-run as well as the short-run relationship between macroeconomic, demographic variables and the Tunisian stock market for the period subsequent to the financial crisis. Monthly data over the period 2008-2014 and ARDL model have been employed. Results indicate that the Tunisian stock market index, macroeconomic and demographic indicators are cointegrated and, therefore, a long-run relationship exists between them. The long-run coefficients suggest that budget deficit, inflation rate and number of unemployed graduates had a negative effect, otherwise, money supply and number of non-resident entries had positive effect on the Tunisian stock market. Moreover, results from the error correction model show that the Tunisian stock market index is influenced positively by money supply and second order difference of the number of unemployed graduated and negatively by first and second order difference of money supply, inflation rate, first order difference of number of non-resident entries and number of unemployment graduates.</p>

scholarly journals Macroeconomic Variables and Stock Returns Revisited

2020 ◽  
Vol 03 (10) ◽  
Author(s):  
Feifei Wang ◽  
Keyword(s):  
Stock Returns ◽  
Stock Prices ◽  
Explanatory Power ◽  
Macroeconomic Factors ◽  
Vector Error Correction ◽  
Macroeconomic Variables ◽  
The Real ◽  
Vector Error ◽  
Long Run ◽  
Short Run

I revisit the relation between macroeconomic activities and stock prices by selecting the most important macroeconomic variables that are appropriate for analyzing their impact on stock returns. Using vector autogressive models (VAR), combined with co integration analysis and the vector error correction model (VECM) I estimate the explanatory power of each macroeconomic variable on the variations of the stock prices and distinguish the short-run from long-run movements among all key macroeconomic variables. I find that (1) in the short-run macroeconomic variables do not appear help explain changes in stock returns, (2) in the long-run the real interest rate and industrial production are the most important macroeconomic factors, and (3) in the long-term the real economic activity and stock returns Granger-cause each other.

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