scholarly journals Cointegration and Causality between Stock Prices and Exchange Rate: Empirical Evidence from India

2017 ◽  
Vol 8 (1) ◽  
pp. 39 ◽  
Author(s):  
D. Bhuvaneshwari ◽  
K. Ramya
Keyword(s):  
Exchange Rate ◽  
Stock Market ◽  
Stock Prices ◽  
Pearson Correlation ◽  
Causality Test ◽  
Market Prices ◽  
Dynamic Relationship ◽  
Long Run ◽  
Pearson Correlation Test ◽  
Short Run

Predicting the exchange rate fluctuations and volatility is possibly one of the very toughest exercises in economics as it affects the market movement. The dynamic relationship between stock prices and exchange rate have drawn the attention of many economists for both theoretical and empirical reasons and plays an important role in influencing the development of a country’s economy (Nieh & Lee, 2001). Therefore, the present study is focusing on stock market prices and exchange rate, which in theory, is expected that one affects the other. The US Dollar (USD)-Indian Rupee (INR) exchange rates and stock market prices of India from January 2006 to December 2015 are considered as sample data for this study. In this research, Augmented Dickey-Fuller (ADF) and Phillips-Perron (PP) unit root tests are applied to test stationarity of data and the data was found stationary at first difference. Karl Pearson correlation test was used to find the correlating relationship between the variables and it is found that both the variables are significantly correlated. Johansen’s cointegration test is applied to determine the long-run equilibrium relationship between the study variables and identified that the variables are not cointegrated. Granger causality test is employed to determine the causality and short-run relationship between the variables and the result revealed bidirectional causality between variables.

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.

Economic Activities and Oil Price Shocks in Indian Outlook: Direction of Causality and Testing Cointegration

2021 ◽  
pp. 097215092199049
Author(s):  
Preeti Sharma ◽  
Avinash K. Shrivastava
Keyword(s):  
Exchange Rate ◽  
Stock Market ◽  
Stock Prices ◽  
Economic Activity ◽  
Negative Relationship ◽  
Oil Prices ◽  
Industrial Output ◽  
Market Prices ◽  
Macroeconomic Variables ◽  
Short Run

The current study intends to find out the linkages between crude oil prices and economic activity in the context of Indian economy. The macroeconomic variables such as gross domestic product (GDP), unemployment, industrial output, inflation, exchange rate and stock market prices have been used as a proxy to economic activity. We have analysed the sample data of 30 years, that is, from year 1991 to 2020. To inspect the short-run relationship between oil prices and the above-mentioned macroeconomic variables, Granger causality test has been applied after removing the presence of unit root through differencing the series. To investigate the long-run relationship, vector error correction model (VECM) has been applied after testing cointegration through the Johansen method of cointegration. The findings of the study show that oil prices have short-run causality with all the variables, that is, GDP, unemployment, industrial output, inflation, exchange rate and stock market prices, while they have a long association with inflation, industrial production and unemployment. Further we find a negative relationship between oil prices and unemployment, industrial output, inflation and exchange rate and a positive relationship with GDP and stock prices.

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 Impact of Oil Price Shocks on Stock Market Prices Volatility in Nigeria: New Evidence from a Non-linear ARDL Cointegration

2018 ◽  
Vol 14 (3) ◽  
pp. 173-190
Author(s):  
Ben Obi ◽  
Adeniji Sesan Oluseyi ◽  
Olaniyi Evans
Keyword(s):  
Stock Market ◽  
Stock Prices ◽  
Negative Impact ◽  
Oil Price ◽  
Oil Price Shocks ◽  
Price Shocks ◽  
Market Prices ◽  
Long Run ◽  
Non Linear ◽  
Short Run

This study examined the impact of oil price shocks on stock market prices volatility in Nigeria using non-linear cointegration approach labelled as Non-linear Autoregressive Distributed Lag (NARDL) which represents one of the major important contribution to the literature on the subject matter. The study was carried out using a quarterly data for the period of 1986 to 2016. The oil price shocks impact was disentangled or decomposed into oil supply shocks, oil demand shocks and oil specific demand shocks and the results from the empirical analysis revealed that, there is long run relationship among the variables and positive oil price shocks in its various forms which exert positive and significant impact on the volatility of stock prices in both long run and short run except for oil supply shock that have negative impact in the long run, while negative oil price shocks exert negative impact on the volatility of stock prices in both short and long run. However, the asymmetric result using Wald test shows that, the positive impact of these shocks on volatility of stock prices differs in both short run and long run. Therefore, the findings from the study affirmed the presence of nonlinear relationship between oil price shocks and stock prices volatility in Nigeria which is an indication that positive and negative oil price shocks affect stock prices volatility differently and this must be taking into consideration when formulating policy

Macroeconomic Determinants of Stock Market Prices in Nepal

2020 ◽  
Vol 2 (1) ◽  
pp. 56-65
Author(s):  
Bhim Prasad Panta
Keyword(s):  
Exchange Rate ◽  
Interest Rate ◽  
Stock Market ◽  
Money Supply ◽  
Developing Economies ◽  
Annual Data ◽  
Economic Variables ◽  
Market Prices ◽  
Ardl Model ◽  
Long Run

Background: Stock market plays a crucial role in the financial system of a country. It can be viewed as a channel through which resources are properly channelized. It enables the governments and industry to raise long-term capital for financing new projects. The stock markets of developing economies are likely to be sensitive to various macro-economic factors such as GDP, imports, exports, exchange rates etc., when there is high demand on financial products, as a constituent of financial market, ultimately stock market needs to develop. Many factors can be a signal to stock market participants to expect a higher or lower return when investing in stock and one of these factors are macroeconomic variables and thus, macro-economic variables tend to effect on stock market development. Objective: This study examines the linkage between stock market prices (NEPSE index) and five macro-economic variables, namely; real GDP, broad money supply, interest rate, inflation, and exchange rate using ARDL model and to explain the behavior of the Nepal Stock Exchange Index. Methods: The ECM which is delivered from ARDL model through simple linear transformation to integrate short run adjustments with long run equilibrium without losing long run information. The analysis has been done by using 25 years' annual data from 1994 to 2019. Findings: The result suggests that the fluctuation of Nepse Index in long run is strongly associated with broad money supply, interest rate, inflation, and exchange rate. Conclusion: Though Nepalese stock market is in primitive stage, broad money supply, interest rate, inflation and exchange rate are major factors affecting stock market price of Nepal. So, policies and strategies should be made and directed taking these in to consideration. Implication: The findings of research can be helpful to understand the behavior of Nepalese stock market and develop policies for market stabilization.

scholarly journals Effects of Exchange Rate and Inflation Rate on Stock Market Returns Volatility in India.

2020 ◽  
Author(s):  
Nenavath Sre ◽  
Suresh Naik
Keyword(s):  
Exchange Rate ◽  
Stock Market ◽  
Error Correction ◽  
Inflation Rate ◽  
Market Returns ◽  
Stock Market Returns ◽  
Positive Effects ◽  
Distributed Lag ◽  
Long Run ◽  
Short Run

Abstract The paper investigates the effect of exchange and inflation rate on stock market returns in India. The study uses monthly, quarterly and annual inflation and exchange rate data obtained from the RBI and market returns computed from the Indian share market index from January, 2000 to June, 2020.The paper uses the autoregressive distributed lag (ARDL) co-integration technique and the error correction parametization of the ARDL model for investigating the effect on Indian Stock markets. The GARCH and its corresponding Error Correction Model (ECM) were used to explore the long- and short-run relationship between the India Stock market returns, inflation, and exchange rate. The paper shows that there exists a long term relationship but there is no short-run relationship between Indian market returns and inflation. But, there is periodicity of inflation monthly considerable long run and short-run relationship between them existed. The outcome also illustrates a significant short-run relationship between NSE market returns and exchange rate. The variables were tested for short run and it was significantly shown the positive effects on the stock market returns and making it a desirable attribute of which investors can take advantage of. This is due to the establishment of long-run effect of inflation and exchange rate on stock market returns.

scholarly journals The Relationships between Exchange Rates and Stock Prices: Empirical Investigation from Johannesburg Stock Exchange

2019 ◽  
Author(s):  
Md. Mahmudul Alam ◽  
Gazi Salah Uddin ◽  
Khan Md. Raziuddin Taufique
Keyword(s):  
Exchange Rate ◽  
Market Efficiency ◽  
Stock Prices ◽  
Stock Exchange ◽  
Unit Root Test ◽  
Rate Sensitivity ◽  
Causality Test ◽  
Johannesburg Stock Exchange ◽  
Long Run ◽  
Adf Test

This study seeks evidence supporting the existence of market efficiency and exchange rate sensitivity on stock prices in the Johannesburg stock exchange (JSE). The sample includes the daily price indices of all securities listed on the JSE, and the exchange rate of the USD/Rand for the period since January 2000 to December 2004. The results from the unit root test, the ADF test and the causality test at the Granger sense provide evidence that the Johannesburg stock exchange (JSE) is informationally efficient. It has a long run comovement with exchange rate, and long run equilibrium or steady state. Hence, in JSE there is a strong possibility that foreign direct investors and forex market traders cannot influence and gain abnormal extra benefits by using exchange rate mechanism or by using exchange rate to forecast stock prices in the market. So, JSE is semi-strong form efficient. Through cointegration test, this paper gives more insight on the concept of market efficiency and the reliability of the results. These results are important to security analysts, investors, and security regulatory exchange bodies in policy making decision to improve the market conditions

scholarly journals The Dynamic Relationship between Crude Oil Prices and Stock Market Price Volatility in Nigeria: A Cointegrated VAR-GARCH Model

2019 ◽  
pp. 1-12
Author(s):  
David Adugh Kuhe
Keyword(s):  
Stock Market ◽  
Crude Oil ◽  
Market Price ◽  
Garch Model ◽  
Price Volatility ◽  
Oil Prices ◽  
Market Prices ◽  
Dynamic Relationship ◽  
Crude Oil Prices ◽  
Long Run

This study investigates the dynamic relationship between crude oil prices and stock market price volatility in Nigeria using cointegrated Vector Generalized Autoregressive conditional Heteroskedasticity (VAR-GARCH) model. The study utilizes monthly data on the study variables from January 2006 to April 2017 and employs Dickey-Fuller Generalized least squares unit root test, simple linear regression model, unrestricted vector autoregressive model, Granger causality test and standard GARCH model as methods of analysis. Results shows that the study variables are integrated of order one, no long-run stable relationship was found to exist between crude oil prices and stock market prices in Nigeria. Both crude oil prices and stock market prices were found to have positive and significant impact on each other indicating that an increase in crude oil prices will increase stock market prices and vice versa. Both crude oil prices and stock market prices were found to have predictive information on one another in the long-run. A one-way causality ran from crude oil prices to stock market prices suggesting that crude oil prices determine stock prices and are a driven force in Nigerian stock market. Results of GARCH (1,1) models show high persistence of shocks in the conditional variance of both returns. The conditional volatility of stock market price log return was found to be stable and predictable while that of crude oil price log return was found to be unstable and unpredictable, although a dependable and dynamic relationship between crude oil prices and stock market prices was found to exist. The study provides some policy recommendations.

scholarly journals The Stock Market and Exchange Rates in Five South Asian Countries

2017 ◽  
Vol 18 (1) ◽  
pp. 102 ◽  
Author(s):  
Firmansyah Firmansyah ◽  
Shanty Oktavilia
Keyword(s):  
Exchange Rate ◽  
Financial Crisis ◽  
Stock Market ◽  
Exchange Rates ◽  
Stock Returns ◽  
Stock Prices ◽  
Stock Return ◽  
The Philippines ◽  
Short Run ◽  
The Exchange Rate

The composite price index and return of stocks are the important indicators, both as a measure of the company's portfolio performance, as well as an indicator of macroeconomic health and the aggregate investment. In addition, the stock prices are also influenced by macroeconomic variables and one of the most important is the exchange rates. The objective of this study is to determine the behavior of exchange rate affects the stock returns in Southeast Asia, pre and post of the 2008 world financial crisis. By employing the daily stock market return in Indonesia, Malaysia, the Philippines, Thailand, and Singapore more than seventeen years from 1 September 1999 to 31 March 2017, this study utilizes Engle-Granger error correction model and cointegration approach to investigate and compare the long and short run of the structural effect of the exchange rates on stock returns. To differentiate the behavior of variables between pre and post occurrence of 2008 world financial crisis, the estimation of the model is divided into two periods. This study finds that the exchange rate growth influence the stock returns in the long and short run, and proves that the cointegration between the two variables exist in all countries. The study has the implication that the exchange rate, which the one of the fundamental measures of a country's macroeconomic health, is an important determinant of influencing stock return, even its effects are responded by the stock return in one day.

The Linkage between Chittagong Stock Market and Dhaka Stock Market

2021 ◽  
Vol 1 (1) ◽  
Author(s):  
Muhammad Shahidullah Tasfiq ◽  
◽  
Nasrin Jahan
Keyword(s):  
Stock Market ◽  
Stock Markets ◽  
Stock Price ◽  
Impulse Response Function ◽  
Decomposition Analysis ◽  
Variance Decomposition ◽  
Causality Test ◽  
Long Run ◽  
Short Run ◽  
Variance Decomposition Analysis

This paper aims at determining the relationship between the two domestic stock markets of Bangladesh – the Chittagong Stock Market (CSE) and the Dhaka Stock Market (DSE). The daily stock price indices that represent the performance of the two stock markets are collected. In order to find out the interdependent relationship, the Engle-Granger Cointegration test, Granger Causality test, Impulse Response Function, and Variance Decomposition Analysis are employed in this paper. The main finding of this study is that both the stock markets are related in the long run. However, there is a one-way short-run effect from the DSE on the CSE market. The CSE market quickly responds to the shock in the DSE market. But, the DSE market is not responsive to the CSE market. The variance decomposition analysis shows that most of the shocks in the CSE market are explained by its own market. On the other hand, a small number of shocks in the DSE market are explained by the CSE market as well as its own market.

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