scholarly journals Bidirectional Relationship between Stock Market Decline and Liquidity: A Study of Emerged & Emerging Economies

2021 ◽  
Vol 7 (1) ◽  
pp. 37-50
Author(s):  
Maria Shams Khakwani ◽  
Rehana Kouser
Keyword(s):  
Stock Market ◽  
Granger Causality ◽  
Emerging Economies ◽  
Granger Causality Test ◽  
Market Liquidity ◽  
Causality Test ◽  
Significance Level ◽  
Market Return ◽  
Ardl Bounds Test ◽  
Bounds Test

This study intends to examine the nature & direction of relationship between stock market movements, particularly market decline, and its liquidity in 14 selected emerged and emerging economies (G8+5 and Pakistan) for January 2001 through December 2017 by applying Autoregressive Distributed Lag (ARDL) Bounds test and Granger-causality test. Trading value and turn over ratio are employed to measure market liquidity. Results of trading value Granger-causality test highlight the evidence of no causality in Germany & India. Bi-directional causality exists in Pakistan only. Uni-directional causality subsists only in Russia at 10% significance level from trading value to market return. However, from market return to trading value, results demonstrate the presence of uni-directional causality at 5% significance level for Brazil, Japan. Canada, China, France, Italy, UK, USA, South Africa and Mexico. Negative returns are used to represent the notion of market decline. The results exhibited by both proxies of liquidity demonstrate that two-way association exists between stock market decline and liquidity in the long term. Thus co-integration in long-run is suggested by ARDL bounds test at 1% significance level for all the emerging and emerged countries in the sample.

Linking energy consumption with economic growth: Rwanda as a case study

2021 ◽  
pp. 181-200
Author(s):  
Gerard Bikorimana ◽  
Charles Rutikanga ◽  
Didier Mwizerwa
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Granger Causality ◽  
Granger Causality Test ◽  
Causality Test ◽  
Ardl Bounds Test ◽  
Causal Direction ◽  
Bounds Test ◽  
Toda And Yamamoto

This paper analyzes the link between energy consumption and economic growth in Rwanda for the period 1985-2017. The ARDL bounds test was used to test for the existence of co-integration, while the Toda and Yamamoto granger causality test was applied to test for causal direction. The results from the estimation of the ARDL bounds test showed that there was no evidence of co-integration between the considered variables under study. Additionally, the empirical findings confirmed that there was no relationship between economic growth and energy consumption in Rwanda. The findings supported the "neutrality hypothesis" between energy consumption and economic growth. This implies that neither conservative nor expansive policies in relation to energy consumption have any effect on economic growth. Furthermore, the study found a uni-directional granger causality running from energy consumption to economic growth. The results of this findings are consistent with the "growth hypothesis" which postulates that energy consumption leads to economic growth

The Relationship Between Stock Market Indices of the Biggest Six Economies of the European Union and BIST 100

2020 ◽  
pp. 257-275
Author(s):  
Serdar Ögel ◽  
Fatih Temizel
Keyword(s):  
European Union ◽  
Stock Market ◽  
Granger Causality ◽  
Granger Causality Test ◽  
Var Model ◽  
The European Union ◽  
Causality Test ◽  
Integration Test ◽  
Causality Relationship ◽  
The Relationship

This chapter examines the relationship between stock market indices of the biggest six economies of the European Union and BIST 100. In this context, this study used the daily time series regarding indices of DAX for Germany, CAC 40 for France, FTSE MIB for Italy, IBEX 35 for Spain, AEX for Holland, FTSE 100 for United Kingdom, and BIST 100 for Turkey from 2014 to 2018. To test whether there is a co-integration relationship among indices, Johansen co-integration test was used. Since a co-integration relationship was not found between series, causality relationship between the European stock market indices and Turkey was tested with Granger causality test by establishing standard VAR model. As a result, a unidirectional Granger causality relationship was found from DAX, FTSE 100, CAC 40, IBEX 35, and AEX to BIST 100 according to lag length 1 and 2. However, a unidirectional Granger causality relationship was only found from FTSE MIB to BIST 100 for lag length 1. For lag length 1 and 2, no causality relationship was found from BIST 100 to the selected European stock market indices.

scholarly journals Improving the Resilience of Banking System in Small Open Economy: Is Macroprudential Policy Efficient?

2021 ◽  
Vol 92 ◽  
pp. 07050
Author(s):  
Petra Popek Biskupec ◽  
Suzana Herman
Keyword(s):  
Granger Causality ◽  
Financial Stability ◽  
Granger Causality Test ◽  
Financial Sector ◽  
Bank Credit ◽  
Real Sector ◽  
Causality Test ◽  
The Real ◽  
Bounds Test ◽  
The Impact

Research background: Although macroprudential instruments increase financial stability, it is necessary to test how they affect the overall economic recovery after a global financial crisis. In the post-crisis period, the real sector needed a strong injection of capital in order to be able to start recovery and to encourage economic growth. At the same time, most of the countries introduced strict regulatory measures that strengthen bank capital and the liquidity base. From the standpoint of the financial sector stability, these measures contributed to the overall financial stability, but at the same time, these measures hold up the bank credit activity. Purpose of the article: This paper analyses the impact of macroprudential instruments on the bank credit activity toward the non-financial sector. The analysis is made by using the Granger Causality Test and the ARLDS Bounds Test. Methods: The research was conducted for the period of 2000 – 2019, based on the data of the Croatian National Bank and the Croatian Bureau of Statistics using logarithmic quarterly data. The analysis is made by using the Granger Causality Test and the ARLDS Bounds Test. Findings & Value added: The results confirm the thesis that additional macroprudential measures decrease the bank credit activity toward the real sector, which slows down the real sector recovery and extends the downturn in the business cycle. On the other hand, the macroprudential measures increase the financial stability of the whole economy, which is positive for future investments and recovery of the real sector.

scholarly journals Modeling The Relationships Between Export, Import, Inflation, Interest Rate, and Rupiah Exchange

2020 ◽  
Vol 3 (3) ◽  
pp. 247-262
Author(s):  
Nina Valentika ◽  
Vivi Iswanti Nursyirwan ◽  
Ilmadi Ilmadi
Keyword(s):  
Interest Rate ◽  
Interest Rates ◽  
Granger Causality ◽  
Granger Causality Test ◽  
Short Term ◽  
Variable Model ◽  
Causality Test ◽  
Significance Level ◽  
Long Run

This research was a modification of research by Catalbas (2016) and Pratikto (2012). The model that can separate long-term and short-term components are the Vector Error Correction Model (VECM). This study aimed to model export, import, inflation, interest rates, and the rupiah exchange rate using VECM and to test the causality between variables using the Granger Causality test. The inter-variable model obtained in this study was VECM with lag 2 using a deterministic trend with the assumption of none intercept no trend and two cointegrations. In export and import, there was an adjustment mechanism from the short-term to the long-term. This research model was appropriate to forecast the export and import where VECM with export and import as the target variables, the cointegration equation (long-run model) for  cointegration equation (long-run model) for Based on the Granger Causality test, it was found that there was a one-way relationship between exchange rates and inflation, export and interest rates, export and import, inflation and export, and import and the interest rate at the significance level of 5%.

scholarly journals PENGUJIAN KAUSALITAS ANTARA VARIABEL MAKROEKONOMI DENGAN RETURN PASAR DI BURSA EFEK INDONESIA : SEBUAH PENDEKATAN VECTOR AUTO

Media Ekonomi ◽  
2017 ◽  
Vol 19 (3) ◽  
pp. 23
Author(s):  
Anggi Hapsari Nurullita
Keyword(s):  
Exchange Rate ◽  
Interest Rate ◽  
Granger Causality ◽  
Unit Root ◽  
Unit Root Test ◽  
Granger Causality Test ◽  
Causality Test ◽  
Market Return ◽  
Vector Auto Regression ◽  
Auto Regression

<p>Indicators of macroeconomic have major impact on capital markets in general and stocks in particular. Influence of these indicators can be positive or negative. Vector Auto Regression (VAR) is a method of analysis used to predict the time series variable and analyze the dynamic impact factor interference in a system variable. VAR analysis is very useful to assess the linkages between economic variables. This research aims to see the influence of iIndicators of macroeconomic such as the exchange rate (EXCHANGE), interest rate Bank Central of Indonesia Certificates (SBI) and rate of inflation (INFLATION) to market return (REIHSG) in Indonesian Stock Exchange in the period 2004:1-2011:10. Data obtained from the Monthly Stock Price Index Statistics JSX. This research appllying several stages of testing as follows: unit root test, the optimal lag test, Granger causality test and Vector Auto Regression model (VAR). The results of unit root test in this study suggests that the data used for processing in the first degree and VAR Granger test because only the stationary stock index return variable in zero degree (level). On the test results suggested the optimal lag is the lag 3. On the Granger causality test is known that the Granger test variable rate (EXCHANGE) has a one-way impact or the exchange rate (EXCHANGE) affect market return (REIHSG) interest rate of Bank Central of Indonesia Certificates (SBI) and the rate of inflation (INFLATION) has a two direction or impact mutual Causality. These results indicate that there is a weak Granger causality between interest rates Bank Central of Indonesia Certificates (SBI) and rate of inflation (INFLATION) to market return (REIHSG).<br />Keywords: Vector Auto Regressive (VAR), Macroeconomic, Granger Causality, IHSG stock return</p>

Dynamic linkages among international crude oil, exchange rate and Norwegian stock market: evidence from ARDL bound testing approach

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Shelly Singhal ◽  
Sangita Choudhary ◽  
Pratap Chandra Biswal
Keyword(s):  
Exchange Rate ◽  
Stock Market ◽  
Crude Oil ◽  
Granger Causality ◽  
Granger Causality Test ◽  
Oil Price ◽  
Causality Test ◽  
Content Type ◽  
Long Run ◽  
Integration Test

Purpose The purpose of this paper is to examine the long-run association and short-run causality among oil price, exchange rate and stock market in Norwegian context. Design/methodology/approach This work uses auto regressive distributed lag (ARDL) bound co-integration test to examine the long-run association among international crude oil, exchange rate and Norwegian stock market. Further to test the causality, Toda–Yamamoto Granger causality test is used. Daily data ranging from 1 January, 2011 to 31 December, 2018 is used in this study. Findings Findings of this study suggest the existence of long-run equilibrium relationship among oil price, exchange rate and Norwegian stock market when oil price is taken as dependent variable. Further, this study observes the bi-directional causality between Norwegian stock market and exchange rate and unidirectional causality between oil and Norwegian stock market (from oil to stock market). Originality/value To the best of the authors’ knowledge, this the first study in context of Norway to explore the long-run association and causal relationships among international crude oil price, exchange rate and stock market index. Particularly, association of exchange rate and stock market largely remains unexplored for Norwegian economy. Further, majority of studies conducted in Norwegian setup have considered the period up to year 2010 and association of these variables is found to be time varying. Finally, this study uses ARDL bound co-integration test and Toda–Yamamoto Granger causality test. These methodologies have been used in literature in context of other countries like India and Mexico but not yet applied to study the Norwegian case.

scholarly journals IMPACT OF STOCK MARKET DEVELOPMENT ON ECONOMIC GROWTH: EMPIRICAL EVIDENCE

Globus ◽  
2020 ◽  
Author(s):  
T.M. Aliyev
Keyword(s):  
Economic Growth ◽  
Foreign Direct Investment ◽  
Stock Market ◽  
Direct Investment ◽  
Granger Causality Test ◽  
Market Liquidity ◽  
Market Development ◽  
Causality Test ◽  
Stock Market Development ◽  
Oil Sector

Development of non-oil sector of Azerbaijan was always one of the main priorities of the government. Oil sector of the economy was well developed since Azerbaijan got its independence, but in order to use the oil source more effectively it was determined to diversify the funds into non-oil sector of the economy, which in the end gave huge boost to most industries of the economy and led to increase of foreign direct investment. However, another source of the foreign direct investment and investor attraction – stock markets, were not developed and organized properly up until 1998, which was mainly due to outdated procedures left from USSR, absence of principles, methodology and understanding of how stock market can play huge role in expansion of economy and attraction of foreign investment. Nowadays, Azerbaijan has all possibilities to widen the stock market, enable easy way of increasing number of small businesses, startups and open the doors for them to global economy and lead to speedy expansion of the businesses. This research analyses the possible relationship between stock market development and economic growth, in order to predict possibility of positive impact of stock market on economic growth, overall social economic welfare of the country and business environment. For the purposes of the research, statistical figures of the country`s main economic indexes were collected: gross domestic product value, foreign direct investment value, stock market liquidity and turnover values, which were then analyzed and tested on various levels of cointegration test, Granger Causality test, vector error correction model and etc. All the analysis were done on statistical software Stata 11 based on figures of 1998-2016. The outcome of the Johansen-Julius shows existence of cointegration and by that VECM test proves relationship between stock market and economic growth in long run, while Wald Test confirms correction of this growth in short term by given explanatory variables. Hence, Granger causality test is conducted further, which determines bidirectional relationship between 3 variables: foreign direct investment, GDP and LIQ (stock market liquidity level). Based on the outcome of the analysis, study concludes that expansion of stock market and increase in foreign direct investment will have chain effect which leads to economic growth and social welfare in Azerbaijan.

Do Macroeconomic Variables Impact the Indian Stock Market?

2016 ◽  
Vol 5 (3) ◽  
Author(s):  
Khalid Ul Islam ◽  
Mohsina Habib
Keyword(s):  
Exchange Rate ◽  
Stock Market ◽  
Stock Returns ◽  
Causal Relationship ◽  
Granger Causality ◽  
Oil Prices ◽  
Granger Causality Test ◽  
Causality Test ◽  
Macroeconomic Variables ◽  
Indian Stock Market

This paper is intended to study the impact of various macroeconomic variables on Indian stock market. Based on the Arbitrage Pricing Theory (APT) propounded by Ross in 1976 and various other studies, a number of macroeconomic variables including, inflation, industrial production, exchange rate, money supply, interest rate, and oil price have been identified to have a significant impact on the stock market. We have applied the multivariate extension of the classical linear regression model computed on Ordinary Least Squares method and Granger Causality test to re-establish the relationship between macroeconomic variables and stock returns over a period of 10 years from 2005 to 2015 using monthly observations. The results of this study show that only exchange rate has a significant negative impact on stock returns. The other macroeconomic variables are not significantly affecting stock returns, however, their impact is in accordance with the economic theory. The Granger Causality test reveals absence of any causal relationship between stock returns and macroeconomic variables, except in case of oil prices, where we find a unidirectional causal relationship running from stock returns to oil prices. However, the Granger Causality results should not be taken in the conventional meaning of causality, but results merely identifying precedence.

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