scholarly journals Uncertainty Due to Infectious Diseases and Stock–Bond Correlation

Econometrics ◽  
2021 ◽  
Vol 9 (2) ◽  
pp. 17
Author(s):  
Konstantinos Gkillas ◽  
Christoforos Konstantatos ◽  
Costas Siriopoulos
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Infectious Diseases ◽  
Granger Causality ◽  
Predictive Value ◽  
High Frequency ◽  
Causal Relation ◽  
Granger Causality Test ◽  
Causality Test ◽  
Non Linear

We study the non-linear causal relation between uncertainty-due-to-infectious-diseases and stock–bond correlation. To this end, we use high-frequency 1-min data to compute daily realized measures of correlation and jumps, and then, we employ a nonlinear Granger causality test with the use of artificial neural networks so as to investigate the predictability of this type of uncertainty on realized stock–bond correlation and jumps. Our findings reveal that uncertainty-due-to-infectious-diseases has significant predictive value on the changes of the stock–bond relation.

scholarly journals Workers’ Remittances and Economic Growth: Evidence From Bangladesh

2021 ◽  
Vol 12 (2) ◽  
pp. 233
Author(s):  
Tamanna Islam
Keyword(s):  
Economic Growth ◽  
Developing Countries ◽  
Granger Causality ◽  
Foreign Exchange ◽  
Causal Relation ◽  
Granger Causality Test ◽  
Causality Test ◽  
Data Set ◽  
Significant Function ◽  
The Relationship

Workers’ remittances are assuming a significant function as a wellspring of foreign exchange earnings for developing countries. As a result, these countries inflows are growing rapidly. This study inspects the relationship between worker’s remittances and economic growth of Bangladesh using the data set for the period 2007-2018. The results using the Granger-causality test show that the workers’ remittances and economic growth show a bi-directional causal relation. There is a bi-directional causal relation between capital and economic growth. The relationship is negative when the study considers number of workers growth and economic growth. The used growth model shows that economic growth of Bangladesh is remittances-dependent. Hence, it provides evidence to support those remittances is a regulating issue of economic growth of Bangladesh.

scholarly journals EXAMINING THE TWIN DEFICIT HYPOTHESIS: EVIDENCE FROM SELECTED SADC COUNTRIES (1980-2011)

2019 ◽  
Vol 2 (1) ◽  
pp. 1-16
Author(s):  
REGINALD CHAONEKA
Keyword(s):  
Granger Causality ◽  
Current Account ◽  
Causal Relation ◽  
Granger Causality Test ◽  
Series Data ◽  
Current Account Balance ◽  
Fiscal Consolidation ◽  
Causality Test ◽  
Fiscal Balance ◽  
The Current Account

This paper investigates the existence of a causal relationship between fiscal balance and current account balance over the period 1980-2011, for nine SADC countries individually. The analysis is conducted within the framework of Granger causality test and Vector Auto Regression (VAR) approach on time series data for each individual country estimates. The Granger causality test results confirm the twin-deficit relationship, with a causal relation from fiscal deficits to external deficits for two countries: Malawi and Zambia together with SADC group average; inverse link operating from external balance to fiscal balance for another two countries: Zimbabwe and Swaziland. Existence of bi-directional causality was confirmed for Botswana and Ricardian Equivalence Hypothesis was confirmed for Mozambique. Results for Angola, South Africa and Seychelles were ambiguous hence inconclusive. The results point to the existence of a direct causal link from fiscal deficit to external deficit. There are indications that fiscal tightening (budget cuts) tends to correct the current account deficit directly. There is need for government to develop new exports, primary products beneficiation (value addition), use of nanotechnology and nurturing new export industries as a long-term measure.In Zimbabwe and to some extent Swaziland the current account can be used to address the budget balance. Countries such as Malawi and Zambia, which have shown evidence of the twin deficit, imply that policymakers must consider fiscal consolidation. Fiscal consolidation has proved to be effective;however half-hearted fiscal adjustments are doomed to fail. The relationship between the twomacroeconomic variables changes over time depending on the dynamics of the economy. Again, given the intricacies that are innate in mixed economies, it may not be possible to authenticate a tight and steady connection between the two deficits. Government Organizations.

scholarly journals R&D Investment, Financial and Environmental Performance Nexuses via Bootstrap Fourier Quantiles Granger Causality Test

Economies ◽  
2021 ◽  
Vol 9 (2) ◽  
pp. 85
Author(s):  
Feng-Li Lin
Keyword(s):  
Financial Performance ◽  
Granger Causality ◽  
Environmental Performance ◽  
Co2 Emission ◽  
Positive Relationship ◽  
Granger Causality Test ◽  
Causality Test ◽  
Emission Reductions ◽  
Policy Makers ◽  
D Investment

This study investigated the relationship between R&D investments and financial and environmental performance. The direction, size, and significance of various phases of these variables were generated using the bootstrap Fourier quantiles Granger causality test. In our results, a positive relationship between R&D investment and CO2 emission reductions was found at two tails of quantiles. Additionally, we observed a significantly positive relationship between financial performance and CO2 emission reductions at the 0.5 quantile and above. The correlation between R&D investment and financial performance was identified to be positive under the 0.3, 0.4, 0.5 and 0.9 quantiles and negative under the 0.5 and 0.6 quantiles. The changing linkages among R&D investment, environmental performance and financial performance found in this study provide important information for policy makers, aiding in the development of R&D strategies to upgrade financial and environmental performance simultaneously.

The effect of spillover on the Granger causality test

2010 ◽  
Vol 37 (9) ◽  
pp. 1473-1486 ◽  
Author(s):  
Panagiotis Mantalos ◽  
Ghazi Shukur
Keyword(s):  
Granger Causality ◽  
Granger Causality Test ◽  
Causality Test

The relationship between financial development and economic growth in Eswatini (formerly Swaziland)

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Siphe-okuhle Fakudze ◽  
Asrat Tsegaye ◽  
Kin Sibanda
Keyword(s):  
Economic Growth ◽  
Granger Causality ◽  
Financial Development ◽  
Granger Causality Test ◽  
Causality Test ◽  
Content Type ◽  
Distributed Lag ◽  
Long Run ◽  
Short Run ◽  
The Relationship

PurposeThe paper examined the relationship between financial development and economic growth for the period 1996 to 2018 in Eswatini.Design/methodology/approachThe Autoregressive Distributed Lag bounds test (ARDL) was employed to determine the long-run and short-run dynamics of the link between the variables of interest. The Granger causality test was also performed to establish the direction of causality between financial development and economic growth.FindingsThe ARDL results revealed that there is a long-run relationship between financial development and economic growth. The Granger causality test revealed bidirectional causality between money supply and economic growth, and unidirectional causality running from economic growth to financial development. The results highlight that economic growth exerts a positive and significant influence on financial development, validating the demand following hypothesis in Eswatini.Practical implicationsPolicymakers should formulate policies that aims to engineer more economic growth. The policies should strike a balance between deploying funds necessary to stimulate investment and enhancing productivity in order to enliven economic growth in Eswatini.Originality/valueThe study investigates the finance-growth linkage using time series analysis. It determines the long-run and short-run dynamics of this relationship and examines the Granger causality outcomes.

Adaptive efficiency of the Mexican Stock Exchange

2018 ◽  
Vol 31 (2) ◽  
pp. 326-335
Author(s):  
Esmeralda Brito-Cervantes ◽  
Semei Coronado ◽  
Manuel Morales-García ◽  
Omar Rojas
Keyword(s):  
Market Efficiency ◽  
Granger Causality ◽  
Latin American ◽  
Stock Exchange ◽  
Information Process ◽  
Causality Test ◽  
Content Type ◽  
Regulatory Policies ◽  
Adaptive Efficiency ◽  
Non Linear

Purpose The purpose of this paper is to analyse the adaptive market efficiency in the price–volume (P–V) relationship of the stocks listed in the Mexican Stock Exchange. The period under study goes from 1982 to 2015. In order to detect causality and, thus, determine adaptive efficiency in the market, one linear and two non-linear tests are applied. There are few papers in the literature that study the P–V relationship in Latin American markets; as such, this paper may be of interest and importance to financial academics and practitioners alike. Design/methodology/approach The Diks and Panchenko (DP) non-parametric Granger causality and the Brooks and Hinich (BH) cross-bicorrelation tests are applied. Findings Derived from the DP test, the findings show that there exists bi-directional non-linear Granger causality in 25.71 per cent of the firms studied, compared to 8 per cent when applying the linear Granger causality test. Therefore, there is evidence of weak-form efficiency in the market. From the BH test, evidence is shown of the adaptive market efficiency, since 71.42 per cent of firms exhibited some form of non-linear dependence in certain periods of time. With these results, the information process should be better studied for a greater comprehension of regulatory policies in the market and better decision-making tools for the investors. Originality/value This paper complements studies on the P–V relationship and efficiency in a Latin American market.

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