Causal Nexus Between Crude, Gold, Dollar and Stock Markets in India: Empirical Explorations Before, During and After the Global Recession

2021 ◽  
pp. 001946622110360
Author(s):  
T. G. Saji
Keyword(s):  
Stock Markets ◽  
Global Financial Crisis ◽  
Asset Markets ◽  
Asymmetric Structure ◽  
Causality Test ◽  
Portfolio Returns ◽  
Global Recession ◽  
Long Run ◽  
Short Run ◽  
The Global Financial Crisis

This research study empirically examines the price linkages among oil, dollar, gold and stock markets in India over period from 1999:1 to 2019:12. We employ cointegrated vector error correction model (VECM) and Granger causality test to study the long-run and short-run relationships between commodity and financial markets before, during and after the global financial crisis. Our analysis finds the dependency on price movements in asset markets is time-varying and countercyclical in India. Findings suggest the asymmetric structure of price correlations among asset markets across three temporal periods on either side of the crisis. Our study offers useful insights into the strategic asset allocations to investors in response to economic cycles, to help optimise potential portfolio returns and provide protection towards some downside risks. JEL Codes: C58, D53, F51

scholarly journals The causal relationship between current account and financial account balance in Western Balkan countries: The case of Serbia

Bankarstvo ◽  
2020 ◽  
Vol 49 (4) ◽  
pp. 9-41
Author(s):  
Radovan Kovačević
Keyword(s):  
Current Account ◽  
Global Financial Crisis ◽  
Western Balkans ◽  
Causality Test ◽  
Vec Model ◽  
Long Run ◽  
Financial Account ◽  
Causality Relationship ◽  
Johansen Cointegration Test ◽  
The Global Financial Crisis

The Western Balkans (WB) countries registered an increase in the current account (CA) deficit and net capital inflow in the period before the outbreak of the global financial crisis of 2008. The external debt of these countries has increased. The aim of this paper is to examine the causality relationship between the CA and financial accounts (FA) balance of Serbia. A framework for the empirical analysis is the vector autoregression (VAR) model and the vector error correction (VEC) model. Using the Johansen cointegration test, we find the existence of a long-run causality relationship between these two variables. The estimated long-run coefficient on the FA variable as an independent variable shows that an increase of Serbia's FA balance by 1% leads to an increase in the CA deficit of Serbia by 0.58%. Applying the Granger causality test, it was found that causality runs from FA to the CA, which implies recommendations for economic policymakers. The finding indicates the need to continuously check the sustainability of the CA deficit of Serbia, as well as to monitor the level of presence of foreign capital in the Serbian economy.

scholarly journals THE IMPACT OF MONEY ON OUTPUT IN CZECH REPUBLIC AND ROMANIA

2018 ◽  
Vol 19 (1) ◽  
pp. 20-41 ◽  
Author(s):  
Mihaela SIMIONESCU ◽  
Adam P. BALCERZAK ◽  
Yuriy BILAN ◽  
Anna KOTÁSKOVÁ
Keyword(s):  
Czech Republic ◽  
Global Financial Crisis ◽  
Causality Test ◽  
Developed Country ◽  
Developed Economies ◽  
Long Run ◽  
Short Run ◽  
Almost All ◽  
Vector Error Correction Models ◽  
The Impact

The problem of relationship between output and money has become again a subject of special interests of economists after the most recent global financial crisis and monetary stabilization policies applied by central banks of almost all developed economies. In this context, the main aim of this paper is to assess the relation between GDP and the most important monetary variables in two countries: Romania and Czech Republic over the period of 1995:Q1 – 2015:Q4. The choice of these economies was deliberate. The selected countries are different from the viewpoint of rate and results of transformation from the centrally planned to market economy, which have influenced their current economic environment stability. Czech Republic is currently classified as middle or even developed country, whereas Romania is still considered as a developing economy. Thus, differences between these two countries make them interesting in the case of comparative studies. In the empirical part of our research the vector error correction models (VECM) were applied. The main findings of the article are the following: in Romania, there is a short-run causality from money supply (M3) to GDP and a long-run relationship between GDP, internal credit and M3. According to Granger causality test, the rate of M3 in Romania was a cause for economic. In Czech Republic, there is a short-run causality from M3 to GDP and a long-run causality between GDP, internal credit and M3. Thus, the results contradict the money neutrality hypothesis in post-transformation Central European economies.

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.

Cointegration of Asian Stock Markets: Empirical Evidence from India

2016 ◽  
Vol 6 (2) ◽  
Author(s):  
Beeralaguddada Srinivasa Veerappa
Keyword(s):  
Stock Market ◽  
Stock Returns ◽  
Stock Markets ◽  
Causality Test ◽  
Long Run ◽  
Equilibrium Relationship ◽  
Short Run ◽  
Auto Regressive ◽  
Global Stock Markets ◽  
Indian Stock Market

At present stock return is significantly related to other global stock markets. The present paper empirically investigates the short run and long run equilibrium relationship between the stock market of India, Japan Hong Kong, Singapore, Malaysia, China, and Australia monthly data during January 1995 to December 2013. Researcher employs correlation test, multivariate co-integration framework, Vector Auto Regressive error-correction model and Granger causality test with reference to financial up evils in Asia and world viz., Asian crisis (1997/98), financial crisis (2008) Inflation conditions, Natural disasters, financial up evils etc. of long run relationship. Results find that the Indian stock market return is significantly co-integrated with long run and short run situations/causalities in Asian Stock returns.

Contagion Effects on Stock Market of Bangladesh

2017 ◽  
Vol 8 (2) ◽  
pp. 1-14 ◽  
Author(s):  
Mohammad Ashraful Ferdous Chowdhury ◽  
Md. Mahmudul Haque ◽  
Md. Nazrul Islam
Keyword(s):  
Stock Market ◽  
Stock Markets ◽  
Global Economy ◽  
Global Financial Crisis ◽  
Impulse Response Function ◽  
Dynamic Relationship ◽  
Contagion Effects ◽  
Long Run ◽  
Integration Test ◽  
Short Run

Due to increased globalization and economic integration in the global economy, contagion effects have been considered an important matter for the investors and policymakers. In the wake of the global financial crisis of September 2008, Islamic financial products were thrust into the spotlight as alternatives to the shaken conventional equity markets. The objective of this study is to discover the Islamic stock market dynamics of Bangladesh with the global Islamic stock markets such as Saudi Arabia, UAE, Kuwait, Europe, UK and Japan. For understanding long run relationship or the theoretical relationships among the Islamic stock market and short run co-movements among Islamic stocks, Johansen co-integration test and Vector Error Correction model (VECM) have been applied respectively. Furthermore, the investigation on short run dynamics is also carried through Impulse Response Function (IRF) analyses. The study found that the Japanese Islamic Stock market is affected to changes in other Islamic stock markets while Kuwait stock market is the leader in the sense it affects other stock market greatly. Bangladeshi Islamic stock market is found to be marginally affecting other stock markets but not as strong as Kuwait. Global Islamic stock market seems to have very little impact to Bangladesh Islamic stock market. The evidence of co-integration and short run dynamics help a diversification benefit may be derived from the cross boarder investment. The empirical evidence of co-integration and short run dynamic relationship found in this study will help investors in making efficient investment decisions and also enhance their understanding of market behavior.

Volatility of Malaysian conventional and Islamic indices: does financial crisis matter?

2020 ◽  
Vol 11 (1) ◽  
pp. 1-11 ◽  
Author(s):  
Muhamad Abduh
Keyword(s):  
Financial Crisis ◽  
Global Financial Crisis ◽  
Stock Exchange ◽  
Composite Index ◽  
Least Square ◽  
Content Type ◽  
Long Run ◽  
Short Run ◽  
The Global Financial Crisis ◽  
The Impact

Purpose This study aims to investigate the volatility of conventional and Islamic indices and to explore the impact of the global financial crisis toward the volatility of both markets in Malaysia. Design/methodology/approach The data consist of financial times stock exchange group (FTSE) Bursa Malaysia Kuala Lumpur Composite Index and FTSE Bursa Malaysia Hijrah-Shari‘ah Index covering the period January 2008-October 2014. Generalized autoregressive conditional heteroskedasticity is used to find the volatility of the two markets and an ordinary least square model is then used to investigate the impact of the crisis toward the volatility of those markets. Findings Interestingly, the result shows that Islamic index is less volatile during the crisis compared to the conventional index. Furthermore, the crisis is proven to significantly affect the volatility of conventional index in the short run and Islamic index in the long run. Originality/value This study explores the volatility–financial crisis nexus, especially for the Islamic financial markets, which to the best of the author’s knowledge, is still lacking empirical research which may improve the understanding upon this issue.

scholarly journals FINANCIAL CRISIS AND STOCK MARKET LINKAGES

2015 ◽  
Vol 23 (4) ◽  
Author(s):  
VICTOR MANUEL DE SOUSA GABRIEL ◽  
JOSE RAMOS PIRES MANSO
Keyword(s):  
Financial Crisis ◽  
Stock Markets ◽  
Global Financial Crisis ◽  
Impulse Response Functions ◽  
Vector Autoregressive ◽  
International Stock Markets ◽  
Short Run ◽  
The Global Financial Crisis ◽  
European Markets ◽  
Dot Com

This paper investigates interdependencies and linkages between international stock markets in the short-run. Thus, twelve European and non-European markets were selected, and the period from 4. October 1999 to 30 June 2011 was chosen, which includes the Dot-Com crisis and the recent Global Financial Crisis. To investigate interdependence and dynamic linkages between stock markets, a vector autoregressive model, the concept of Granger causality and impulse-response functions were considered. We concluded that the global financial crisis contributes to the intensification of the interdependence between stock markets. 

scholarly journals Housing Price, Mortgage Interest Rate and Immigration

2020 ◽  
Vol 28 (3) ◽  
pp. 36-44
Author(s):  
Fennee Chong
Keyword(s):  
Interest Rate ◽  
Global Financial Crisis ◽  
Housing Prices ◽  
Housing Price ◽  
Mortgage Interest ◽  
Long Run ◽  
Mortgage Interest Rate ◽  
Short Run ◽  
The Global Financial Crisis ◽  
The Impact

AbstractHousing price in New Zealand has appreciated substantially after the Global Financial Crisis, resulting in an affordability problem for first home buyers. This paper studies whether changes in immigration activity and mortgage interest rate influence housing price. Empirical findings derived using VECM confirm the impact of immigration and mortgage interest rate on housing property price. Both variables explain 11.4 percent of the variation of Housing Index. An increase of 1 percent in mortgage interest rate would reduce the housing index movement by 1.44 percent whilst a 1 percent increase in immigrants would increase the housing index by 0.30 percent. In addition, about 2 percent of the short-run deviations of housing prices are adjusted towards the long-run equilibrium each month.

Cointegration of Asian Stock Markets: Empirical Evidence from India

GIS Business ◽  
2016 ◽  
Vol 11 (5) ◽  
pp. 25-40
Author(s):  
Beeralaguddada Srinivasa Veerappa
Keyword(s):  
Stock Market ◽  
Stock Returns ◽  
Stock Markets ◽  
Causality Test ◽  
Long Run ◽  
Equilibrium Relationship ◽  
Short Run ◽  
Auto Regressive ◽  
Global Stock Markets ◽  
Indian Stock Market

At present stock return is significantly related to other global stock markets. The present paper empirically investigates the short run and long run equilibrium relationship between the stock market of India, Japan Hong Kong, Singapore, Malaysia, China, and Australia monthly data during January 1995 to December 2013. Researcher employs correlation test, multivariate co-integration framework, Vector Auto Regressive error-correction model and Granger causality test with reference to financial up evils in Asia and world viz., Asian crisis (1997/98), financial crisis (2008) Inflation conditions, Natural disasters, financial up evils etc. of long run relationship. Results find that the Indian stock market return is significantly co-integrated with long run and short run situations/causalities in Asian Stock returns.

Macroeconomics and Its Impact on Stock Markets of India, China, and Japan

2019 ◽  
pp. 177-194
Author(s):  
Amith Vikram Megaravalli
Keyword(s):  
Stock Markets ◽  
Time Series Data ◽  
Consumer Price Index ◽  
Unit Root Test ◽  
Series Data ◽  
Causality Test ◽  
Macroeconomic Variables ◽  
Long Run ◽  
Short Run ◽  
China And Japan

The objective of this chapter is to examine the long-run and the short-run relationship between India, China, and Japanese stock markets and key macroeconomic variables such as exchange rates and inflation (proxied by consumer price index) of ASIAN 3 economies (India, China, and Japan). Monthly time series data spanning the period from 2008 January to November 2016 has been used. The unit root test, the cointegration test, Granger causality test, and pooled mean group estimator have been applied to derive the long-run and short-run statistical dynamics. The findings of pooled estimated results of ASIAN 3 countries show that exchange rate has a positive and significant long-run effect on stock markets while the inflation has a negative and insignificant long-run effect. In the short run, there is no statistically significant relationship between macroeconomic variables and stock markets. This study emphasizes the impact of macroeconomic variables on the stock market performance of a developing economy (India and China) and developed economy (Japan).

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