Modelling the Impact of Global Financial Crisis on the Indian Stock Market through GARCH Models

2016 ◽  
Vol 12 (1) ◽  
pp. 11-22 ◽  
Author(s):  
Shreya Mathur ◽  
Varun Chotia ◽  
N.V.M. Rao
Keyword(s):  
Financial Crisis ◽  
Stock Market ◽  
Global Financial Crisis ◽  
Garch Models ◽  
Indian Stock Market ◽  
The Impact

Does macroeconomic uncertainty really matter in predicting stock market behavior? A comparative study on China and USA

2020 ◽  
Vol 10 (4) ◽  
pp. 393-427 ◽  
Author(s):  
Ghulam Abbas ◽  
Shouyang Wang
Keyword(s):  
Risk Factors ◽  
Financial Crisis ◽  
Stock Market ◽  
Global Financial Crisis ◽  
Content Type ◽  
Macroeconomic Variables ◽  
Macroeconomic Risk ◽  
Stock Market Return ◽  
Macroeconomic Uncertainty ◽  
The Impact

PurposeThe study aims to analyze the interaction between macroeconomic uncertainty and stock market return and volatility for China and USA and tries to draw some invaluable inferences for the investors, portfolio managers and policy analysts.Design/methodology/approachEmpirically the study uses GARCH family models to capture the time-varying volatility of stock market and macroeconomic risk factors by using monthly data ranging from 1995:M7 to 2018:M6. Then, these volatility series are further used in the multivariate VAR model to analyze the feedback interaction between stock market and macroeconomic risk factors for China and USA. The study also incorporates the impact of Asian financial crisis of 1997–1998 and the global financial crisis of 2007–2008 by using dummy variables in the GARCH model analysis.FindingsThe empirical results of GARCH models indicate volatility persistence in the stock markets and the macroeconomic variables of both countries. The study finds relatively weak and inconsistent unidirectional causality for China mainly running from the stock market to the macroeconomic variables; however, the volatility spillover transmission reciprocates when the impact of Asian financial crisis and Global financial crisis is incorporated. For USA, the contemporaneous relationship between stock market and macroeconomic risk factors is quite strong and bidirectional both at first and second moment level.Originality/valueThis study investigates the interaction between stock market and macroeconomic uncertainty for China and USA. The researchers believe that none of the prior studies has made such rigorous comparison of two of the big and diverse economies (China and USA) which are quite contrasting in terms of political, economic and social background. Therefore, this study also tries to test the presumed conception that macroeconomic uncertainty in China may have different impact on the stock market return and volatility than in USA.

scholarly journals Double-Edged Sword of Global Financial Crisis and COVID-19 Pandemic on Crude Oil Stock Returns

2020 ◽  
Author(s):  
Monday Osagie Adenomon ◽  
Ngozi G. Emenogu
Keyword(s):  
Financial Crisis ◽  
Crude Oil ◽  
Global Financial Crisis ◽  
The Body ◽  
Garch Models ◽  
Oil Futures ◽  
Crude Oil Futures ◽  
The Global Financial Crisis ◽  
The Impact ◽  
T Distribution

This study investigates the impact of global financial crisis and the present COVID-19 pandemic on daily and weekly Crude oil futures using four variants of ARMA-GARCH models: ARMA-sGARCH, ARMA-eGARCH, ARMA-TGARCH and ARMA- aPARCH with dummy variables We also investigated the persistence, half-life and backtesting of the models. This study therefore seeks to contribute to the body of literature on the impact of global financial crisis and the present COVID-19 pandemic on crude oil futures market. This investigation of the impact of global financial crisis and the COVID-19 on crude oil futures has not been much studied at present. We obtained and analyzed the daily and weekly crude oil futures from secondary sources. Daily crude oil futures used in this study covers the period from the 4th January 2000 to 27th April 2020 while the weekly crude oil futures covered from 2ndJanuary 2000 to 26th April 2020 . The global financial crisis period covered from 2nd July 2007 to 31st March 2009 and the current COVID-19 pandemic covered from 1st January 2020 to 27th April, 2020. The study used both student t and skewed student t innovations with AIC, goodness-of-test fit and backtesting to select the best model. Most of the estimated ARMA-GARCH models are supported by skewed student t distribution while most of the ARMA-GARCH models exhibited high persistence values in the presence of global financial crisis and the COVID-19 pandemic. In the overall, the estimated ARMA(1,0)-eGARCH(2,1) and ARMA(1,0)-eGARCH(2,2) model for daily crude oil futures and weekly crude oil futures respectively have been significantly impacted by the global financial crisis and the Present COVID-19 pandemic while the preferred estimated models also passed the goodness-of-test fit and backtesting.This study recommends shareholders and investors should think outside the box as crude oil futures tend to be affected by global financial crisis and COVID-19 pandemic while countries also that depend mostly on crude oil are encouraged to diversify their economy in other to survive and be sustained during financial and health crisis.

scholarly journals Econometric Modelling: Testing of Randomness,Volatility, Casualty and Cointegration of Emerging Stock Market Indices of India and MIST Countries

2019 ◽  
Vol 9 (2) ◽  
pp. 1402-1417
Keyword(s):  
Financial Crisis ◽  
Stock Market ◽  
Time Series Data ◽  
Global Financial Crisis ◽  
Good News ◽  
Series Data ◽  
Stock Market Index ◽  
Causality Test ◽  
Lm Test ◽  
The Impact

In general, stock market indices are widely interrelated to the other global markets to detect the impact of diversification opportunities. The present research paper empirically examines randomness and long term equilibrium affiliation amongst the emerging stock market of India and Mexico, Indonesia, South Korea and Turkey from the monthly time series data during February 2008 to October 2019. The researcher employs by the way, Run test, Pearson’s correlation test, Johnsen’s multivariate cointegration test, VECM and Granger causality test with reference to post-September 2008 Global financial crisis. The test results of the above finds that Nifty 50 and BSE Sensex is significantly cointegrated either among themselves or with MIST countries particularly during the post-September Global financial crisis. No random walk is found during the study period. The ADF (Augmented DickeyFuller) and PP (Phillips Pearson) tests evidenced stationarity at the level, but converted into non-stationarity in first difference. Symmetric and asymmetric volatility behaviors are studied using GARCH, EGARCH and TARCH models in order to test which model has the best forecasting ability. Leverage effect was apparent during the study period. So the influx of bad news has a bigger shock or blow on the conditional variance than the influx of good news. The residual diagnostic test (Correlogram-Squared residuals test, ARCH LM test and Jarque-Bera test) confirms GARCH (1,1) as the best suited model for estimating volatility andforecasting stock market index.

scholarly journals The Impact of the Global Financial Crisis, Does It Sustain?

2016 ◽  
Vol 8 (10) ◽  
pp. 82 ◽  
Author(s):  
Bashar Al-Zu'bi ◽  
Hussein Salameh ◽  
Qasim Mousa Abu Eid
Keyword(s):  
Financial Crisis ◽  
Stock Market ◽  
Global Financial Crisis ◽  
Stock Market Index ◽  
The World ◽  
The Usa ◽  
Short And Long Term ◽  
The Global Financial Crisis ◽  
The Impact

<p>This paper studies the short and long term relationship between S&amp;P500 USA stock market index and the stock market indices of 30 countries around the world over the period June 2010-April 2015. We implement OLS regression and use error correction model to examine the short and long term relationship between the variables. Empirically, we find that there is a relationship on the short and long term between S&amp;P500 and the indices of 27 countries from East Asia, Europe, Latin America, Middle East as well as the countries of Australia and Canada. These results conclude that the global financial crisis of 2007-2008 significantly and lengthy increased the already high level of co-movement between the USA financial market and the observed stock market for 27 countries around the world. The findings from our research are important; however, we believe that further research based on our findings is necessary.</p>

Global financial crisis, foreign portfolio investment and volatility

2020 ◽  
Vol 32 (2) ◽  
pp. 177-195
Author(s):  
Abdelkader Derbali ◽  
Ali Lamouchi
Keyword(s):  
Financial Crisis ◽  
Stock Market ◽  
Emerging Markets ◽  
Global Financial Crisis ◽  
Portfolio Investment ◽  
Content Type ◽  
Foreign Portfolio Investment ◽  
Crisis Period ◽  
Asian Emerging Markets ◽  
The Impact

Purpose The purpose of this paper is to understand and compare the extent and nature of the impact of foreign portfolio investment (FPI) on the stock market volatility, particularly in the Southeast Asian emerging markets, and compare that against the corresponding experience of Indian economy, in the context of a global financial crisis of the recent past. Design/methodology/approach The Asian emerging markets are now being perceived as becoming financially more and more vulnerable to international events because of their growing exposure to unstable foreign investment flows. The daily net FPI inflow and the daily leading stock market composite index of four countries, namely, Thailand, the Philippines, Indonesia and India, have been analyzed using autoregressive conditional heteroscedasticity (ARCH)-generalized ARCH group of models dividing the study period from 2000 to 2014 among pre-crisis, crisis and post-crisis period separately. Findings The study reveals that the net inflow of FPI has been a significant determinant of stock market returns in all countries. The impact of volatility spillover from the FPI market to the stock market in the sample countries has been found to be different under different market conditions. The past information and volatility clustering have been significantly influencing the stock market return volatilities of all these Southeast Asian countries on average. Originality/value However, there are significant country-wise differences in the relative importance and direction of the relationship of each of these effects with the volatility of the FPI and the stock markets. These effects have been different in these four different markets and they have significantly altered in strength and significance during the global financial crisis and in the post-financial crisis period.

scholarly journals INVESTIGATING ABNORMAL VOLATILITY TRANSMISSION PATTERNS BETWEEN EMERGING AND DEVELOPED STOCK MARKETS: A CASE STUDY

2020 ◽  
Vol 21 (6) ◽  
pp. 1561-1592
Author(s):  
Cristi Spulbar ◽  
Jatin Trivedi ◽  
Ramona Birau
Keyword(s):  
Stock Market ◽  
Financial Markets ◽  
Stock Markets ◽  
Financial Integration ◽  
Global Financial Crisis ◽  
Spillover Effects ◽  
Garch Models ◽  
Asymmetric Garch ◽  
Developed Stock Markets ◽  
The Impact

The main aim of this paper is to investigate volatility spillover effects, the impact of past volatility on present market movements, the reaction to positive and negative news, among selected financial markets. The sample stock markets are geographically dispersed on different continents, respectively North America, Europe and Asia. We also investigate whether selected emerging stock markets capture the volatility patterns of developed stock markets located in the same region. The empirical analysis is focused on seven developed stock market indices, i.e. IBEX35 (Spain), DJIA (USA), FTSE100 (UK), TSX Composite (Canada), NIKKEI225 (Japan), DAX (Germany), CAC40 (France) and five emerging stock market indices, i.e. BET (Romania), WIG20 (Poland), BSE (India), SSE Composite (China) and BUX (Hungary) from January 2000 to June 2018. The econometric framework includes symmetric and asymmetric GARCH models i.e. EGARCH and GJR which are performed in order to capture asymmetric volatility clustering, interdependence, correlations, financial integration and leptokurtosis. Symmetric and asymmetric GARCH models revealed that all selected financial markets are highly volatile, including the presence of leverage effect. The stock markets in Hungary, USA, Germany, India and Canada exhibit high positive volatility after global financial crisis.

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