The international stock market crisis of 1997 and the dynamic relationships between Asian stock markets: linear and non‐linear Granger causality tests

1999 ◽  
Vol 25 (8) ◽  
pp. 22-38 ◽  
Author(s):  
Panayotis Alexakis ◽  
Costas Siriopoulos
Keyword(s):  
Stock Market ◽  
Granger Causality ◽  
Stock Markets ◽  
Non Linear ◽  
Causality Tests ◽  
Granger Causality Tests ◽  
Dynamic Relationships

scholarly journals Non-linear Causality Between Stock Returns And Inflation Uncertainty: Evidence From The US And The UK

2012 ◽  
Vol 12 (1) ◽  
pp. 63
Author(s):  
Esin Cakan
Keyword(s):  
Stock Returns ◽  
Granger Causality ◽  
Predictive Power ◽  
Inflation Uncertainty ◽  
The Us ◽  
Non Linear ◽  
Causality Tests ◽  
Granger Causality Tests ◽  
The Uk ◽  
Dynamic Relationships

This study analyzes the dynamic relationships between inflation uncertainty and stock returns by employing the linear and non-linear Granger causality tests for the US and the UK. Using GARCH model to generate a measure of inflation uncertainty, it does not have a predictive power for stock returns, as predicted by Friedman, and it does not support the opportunistic central bank hypothesis suggested by Cukierman-Meltzer. However, the findings from non-linear Granger causality put forth that there is a bi-directional non-linear predictive power between these variables. Stock market is used as a hedge against inflation uncertainty.

scholarly journals The effect of financial crises on stock market liquidity across global markets

2017 ◽  
Vol 14 (2) ◽  
pp. 38-50
Author(s):  
Halil D. Kaya ◽  
Engku Ngah S. Engkuchik
Keyword(s):  
Hong Kong ◽  
Stock Market ◽  
Granger Causality ◽  
Financial Crises ◽  
Market Liquidity ◽  
Global Markets ◽  
Feedback Effects ◽  
Turnover Ratio ◽  
Causality Tests ◽  
Granger Causality Tests

In this study, using a widely available market liquidity measure, the “turnover ratio”, the authors test for market liquidity contagion during the four financial crises that occurred between 1997 and 1999: The Thai crisis, the Hong Kong crisis, the Russian crisis, and the Brazilian crisis. It is found that while the liquidity levels decreased in approximately half of the sample markets, in the remaining half, the liquidity levels actually improved. The Granger causality tests show that while there is almost no evidence of causality (in both directions) before each crisis, during each crisis, approximately half of the pairwise tests were significant. The results show that most of these causalities are reverse feedback effects from the non-crisis-origin markets to the crisis-origin market. Therefore, it is concluded that the more crucial phenomenon during these crises is the “reverse feedback effects” rather than the liquidity contagion itself.

scholarly journals The co-movement and asymmetry between energy and grain prices: Evidence from the crude oil and corn markets

Energies ◽  
2019 ◽  
Vol 12 (7) ◽  
pp. 1373 ◽  
Author(s):  
Chen ◽  
Wang ◽  
Zhang ◽  
Zheng
Keyword(s):  
Crude Oil ◽  
Granger Causality ◽  
Price Change ◽  
Oil Price ◽  
Oil Market ◽  
Non Linear ◽  
Causality Tests ◽  
Causality Relationship ◽  
Granger Causality Tests ◽  
Grain Prices

This paper investigates the co-movement and asymmetric interactions between energy and grain prices, based on the evidence from the crude oil and corn markets, the most important energy and grain markets, respectively. Time series analysis indicates that there is a consistent trend between the crude oil price and corn price with a significant positive correlation coefficient 0.7471 during the sampling period, from January 2008 to February 2016. In addition, we find that there is a long-run equilibrium relationship between the two commodities’ prices. Moreover, while linear Granger causality tests suggest that there is a two-way Granger causality relationship between the price changes in the two markets, non-linear Granger causality tests suggest that there is only a one-way causality relationship from corn to oil price. However, both linear and non-linear Granger causality tests indicate the asymmetry of causality relationship between the two markets (the price change in corn market can more significantly Granger cause the change in crude oil market). Further analysis suggests that the contribution of the corn market to price discovery in a large commodity market is larger than that of the crude oil market.

Through the Lens of Recession 2.0: Diversification Dynamics Between the Leading Asian Stock Markets

2021 ◽  
pp. 097226292098395
Author(s):  
Manu K. S. ◽  
Surekha Nayak ◽  
Rameesha Kalra
Keyword(s):  
Stock Market ◽  
Stock Markets ◽  
Market Integration ◽  
Developing Economies ◽  
Positive Impact ◽  
Global Market ◽  
Stock Market Integration ◽  
Developed Economies ◽  
Market Participants ◽  
Causality Tests

The focus of this article is to analyse the inter-linkages between eight leading stock markets in Asian continent from the period of July 2011 to February 2018. This period holds relevance as this was the time when Recession 2.0 set in, which adversely affected the developed economies; however, the developing economies withstood the crisis without much of an impact. Co-integration and Granger causality tests were conducted to probe the inter-linkages. Study revealed a positive impact on Asian stock market indices collectively on each of the indexes. The highest number of unidirectional causalities was to KOPSI and NIFTY from rest of the stock indices. Results confirmed that no co-integration relationship existed among the selected indices indicating favourable diversification opportunities. Thus, the study fosters global market participants and policymakers to consider the nitty-gritties of stock market integration so as to benefit from international stock market diversification in the Asian region.

scholarly journals Do Operating Profits Induce a Wage Premium Equally Shared among Employees Earning High or Low Incomes?

Economies ◽  
2021 ◽  
Vol 9 (2) ◽  
pp. 81
Author(s):  
Jarle Aarstad ◽  
Olav A. Kvitastein
Keyword(s):  
Panel Data ◽  
Granger Causality ◽  
Wage Inequality ◽  
Wage Premium ◽  
Wage Increase ◽  
Low Incomes ◽  
Causality Tests ◽  
Granger Causality Tests

Panel data show that between 2001 and 2014 Norwegian industries’ increasing aggregated operating profits per employee increased average wages and wage inequality. The data imply that increasing profits, perhaps unsurprisingly, induce a wage premium. The data further imply that employees earning high incomes at the outset had the highest wage increase percentage-wise. Decreasing operating profits per employee had opposite but less robust effects on average wages and wage inequality. Panel data Granger causality tests finally showed that average wages, but not wage inequality, reversely and positively affect operating profits per employee.

scholarly journals The Symmetric and Asymmetric Time-Varying Causality Relationships Between the COVID-19 Outbreak and the Stock Exchange: The Case of Selected Countries

Ekonomika ◽  
2021 ◽  
Vol 100 (2) ◽  
pp. 144-170
Author(s):  
Cuma Demirtaş ◽  
Munise Ilıkkan Özgür ◽  
Esra Soyu
Keyword(s):  
Mortality Rate ◽  
Stock Market ◽  
Stock Markets ◽  
Time Varying ◽  
Causality Test ◽  
Causality Tests ◽  
Bed Capacity ◽  
Case Rate ◽  
Asymmetric Causality ◽  
Second Wave

In this study, the effects of COVID-19 (mortality rate, case rate, and bed capacity) on the stock market was examined within the framework of the efficient market hypothesis. Unlike other studies in the literature, we used the variable of bed capacity besides the mortality rate and case rate variables. The relationship between the mentioned variables, using daily data between December 31 of 2019 and November 10 of 2020, has been analyzed with time-varying symmetric and asymmetric causality tests for China, Germany, the USA, and India. Considering that the responses to positive and negative shocks during the pandemic process may be different and that the results may change depending on time, time-varying symmetric and asymmetric causality tests were used. According to the time-varying symmetric causality test, stock markets in all countries were affected in the period when the cases first appeared. A causal relationship between COVID-19 and country stock markets was found. The results showed that the effects of the case rate and bed capacity on the stock market occurred around the same time in Germany and the United States; however, these dates differed in China and India. According to time-varying asymmetric causality test findings, the asymmetric effect of the pandemic on the stock market in countries emerged during the second wave. The findings showed that the period during which positive and negative information about the pandemic intensified coincided with the period during which the second wave occurred; besides, the results show the effect of this information on the stock market differed as positive and negative shocks.

scholarly journals A study of co-movements between U.S. and Latin American stock markets: A cross-bicorrelations perspective

DYNA ◽  
2016 ◽  
Vol 83 (196) ◽  
pp. 143-148 ◽  
Author(s):  
Semei Coronado-Ramirez ◽  
Omar Rojas-Altamirano ◽  
Rafael Romero-Meza ◽  
Francisco Venegas-Martínez
Keyword(s):  
Stock Market ◽  
Latin American ◽  
Stock Markets ◽  
Nonlinear Dependence ◽  
Standard And Poor's ◽  
Non Linear ◽  
Market Indexes

<p>This work applies a test that detects dependence between pairs of variables. The kind of dependence is a non-linear one, and the test is known as cross-bicorrelation, which is associated with Brooks and Hinich [1]. We study dependence periods between U.S. Standard and Poor's 500 (SP500), used as a benchmark, and six Latin American stock market indexes: Mexico (BMV), Brazil (BOVESPA), Chile (IPSA), Colombia (COLCAP), Peru (IGBVL) and Argentina (MERVAL). We have found windows of nonlinear dependence and comovement between the SP500 and the Latin American stock markets, some of which coincide with periods of crisis, leading to an interpretation of a possible contagion or interdependence.</p>

scholarly journals Sars-Cov-2 in Argentina: Lockdown, Mobility, and Contagion

2020 ◽  
Author(s):  
Juan M.C. Larrosa
Keyword(s):  
Panel Data ◽  
Granger Causality ◽  
Random Effects ◽  
Social Costs ◽  
Political Discussion ◽  
Fixed And Random Effects ◽  
The World ◽  
Causality Tests ◽  
Granger Causality Tests ◽  
Over Time

AbstractThere is a debate in Argentina about the effectiveness of mandatory lockdown measures in containing COVID-19 that lasts five months making it one of the longest in the World. The population effort to comply the lockdown has been decreasing over time given the economic and social costs that it entails. We contributes by analyzing the Argentinian case through information of mobility and contagion given answers to recurrent questions on these topics. This paper aims to fill the gap in the literature by assessing the effects of lockdown measures and the regional relaxation on the numbers of rate of new infections. We also respond to issues of internal political discussion on regional contagion and the effect of marches and unexpected crowd events. We use pool, fixed and random effects panel data modeling and Granger causality tests identifying relations between mobility and contagion. Our results show that lockdown in Argentina has been effective in reducing the mobility but not in way that reduces the rate of contagion. Strict lockdown seems to be effective in short periods of time and by extend it without complementary measures loss effectiveness. Contagion rate seems to be discretely displaced in time and resurging amidst slowly increasing in mobility.

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