Neural Networks and Rules-based Systems used to Find Rational and Scientific Correlations between being Here and Now with Afterlife Conditions
February 17, 2026
Neural Networks and Rules-based Systems used to Find Rational and
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C: FINANCE3B8G6
This research investigated the causality and impact analysis of financial deepening and economic growth in Bangladesh for the period of 1993 to 2020. The Johansen cointegration test is used to demonstrate a long-run association. The Granger causality test and the Error Correction Model are also used to determine causality between the variables and short-term or long-term kinematics among the parameters. The findings show that economic growth, broad money supply, market capitalization, and private sector credit have a long-run relationship with a strong adjustment rate toward long-run equilibrium. The findings also show that whereas broad money has a negative and negligible impact on economic growth, market capitalization has a negative and large impact. Broad money is thought to drive growth from a prior standpoint. However, the analysis found that broad money had no positive impact on economic development between 1993 and 2020. Following a pairwise Granger Causality test, it is discovered that GDP doesn’t have an effect on money supply or private sector credit, and vice versa. Based on the findings, the research recommends implementing private sector-friendly policies to ensure that depositors not only have access to credit, but that credit is also available at a reasonable cost, i.e., at a low interest rate.
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Mahadi Hasan,. 2021. \u201cFinancial Deepening Parameters and Economic Progress in Bangladesh: A Causality and Impact Analysis\u201d. Global Journal of Management and Business Research - C: Finance GJMBR-C Volume 21 (GJMBR Volume 21 Issue C3): .
Crossref Journal DOI 10.17406/GJMBR
Print ISSN 0975-5853
e-ISSN 2249-4588
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This research investigated the causality and impact analysis of financial deepening and economic growth in Bangladesh for the period of 1993 to 2020. The Johansen cointegration test is used to demonstrate a long-run association. The Granger causality test and the Error Correction Model are also used to determine causality between the variables and short-term or long-term kinematics among the parameters. The findings show that economic growth, broad money supply, market capitalization, and private sector credit have a long-run relationship with a strong adjustment rate toward long-run equilibrium. The findings also show that whereas broad money has a negative and negligible impact on economic growth, market capitalization has a negative and large impact. Broad money is thought to drive growth from a prior standpoint. However, the analysis found that broad money had no positive impact on economic development between 1993 and 2020. Following a pairwise Granger Causality test, it is discovered that GDP doesn’t have an effect on money supply or private sector credit, and vice versa. Based on the findings, the research recommends implementing private sector-friendly policies to ensure that depositors not only have access to credit, but that credit is also available at a reasonable cost, i.e., at a low interest rate.
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