Factors affecting Loan growth in State-Owned Banks: An insight through FE Model DOI Creative Commons
Probir Kumar Bhowmik,

Gopal Karmakar

Journal of Ekonomi, Journal Year: 2024, Volume and Issue: unknown, P. 28 - 39

Published: Nov. 9, 2024

Loan growth is a critical driver for economic development, and comprehending the determinants affecting lending in state-owned banks vital enhancing financial sector stability performance. This paper examines factors that affect loan Bangladesh. We collected data over 11-year period from 2012 to 2022. applied ordinary least square method primarily followed by fixed effect estimation. To check validity of regression models study, we have considered several diagnostic tests. Our findings indicate influenced industry-dependent variables i.e. size, liquidity, efficiency, non-performing loans, etc. The influence bank income, ratio, cost-to-income ratio main emphasis this study's investigation into influencing lending. According statistics, there significant positive correlation between size Bank liquidity show strong negative correlation. study also found higher associated with loans significantly. efficiency shows substantial impact on improve performance stability, policymakers management may benefit greatly these results. Policymakers need integrate various macroeconomic qualitative elements regulatory frameworks bolster while facilitating sustainable expansion. can enhance decreasing strengthening credit risk management, utilizing strategic expansions increase capacity.

Language: Английский

Development and application of machine learning models in US consumer price index forecasting: Analysis of a hybrid approach DOI Creative Commons
Yunus Emre Gür

Data Science in Finance and Economics, Journal Year: 2024, Volume and Issue: 4(4), P. 469 - 513

Published: Jan. 1, 2024

<p>This study aims to apply advanced machine-learning models and hybrid approaches improve the forecasting accuracy of US Consumer Price Index (CPI). The examined performance LSTM, MARS, XGBoost, LSTM-MARS, LSTM-XGBoost using a large time-series data from January 1974 October 2023. were combined with key economic indicators US, hyperparameters optimized genetic algorithm Bayesian optimization methods. According VAR model results, variables such as past values CPI, oil prices (OP), gross domestic product (GDP) have strong significant effects on CPI. In particular, provided superior in CPI forecasts compared other was found perform best by establishing relationships federal funds rate (FFER) GDP. These results suggest that can significantly provide valuable insights for policymakers, investors, market analysts.</p>

Language: Английский

Citations

3
Bangladesh&#039;s foreign exchange reserves: A comparative study with key South Asian economies DOI Open Access

Masud Rana

International Journal of Foreign Trade and International Business, Journal Year: 2024, Volume and Issue: 6(1), P. 80 - 85

Published: Jan. 1, 2024

The study focuses on analyzing the dynamics of foreign exchange reserves in four South Asian countries: Bangladesh, India, Pakistan, and Sri Lanka, over a span 23 years from 2000 to 2023. uses comparative research design, utilizing secondary data reputable sources such as International Monetary Fund (IMF), World Bank, central banks respective countries. This ensures reliability credibility used analysis. incorporates qualitative insights policy documents literature reviews, addition quantitative analysis, provide comprehensive understanding factors influencing region. helps contextualizing findings drawing meaningful conclusions. analysis's reveal significant growth throughout region, indicating economic progress. However, there are variations levels volatility stability among countries, highlighting diverse landscapes Asia. offer valuable for policymakers, stakeholders, researchers interested managing Bangladesh. By trends patterns identified policymakers can make informed decisions enhance

Language: Английский

Citations

0
Visitors’ Perception towards Heritage Museum Management: An Empirical Study on Varendra Research Museum DOI Creative Commons
Tusher Ghosh, Md Faridul Islam, Shital Sohani Chitra

et al.

Journal of Ekonomi, Journal Year: 2024, Volume and Issue: unknown

Published: Aug. 4, 2024

The primary goal of this study is to assess the effectiveness museum management based on visitors' knowledge. This paper presents a conceptual framework for visitors’ knowledge in eyes management. It then examines heritage Bangladesh. In quantitative research, we have collected data from 235 students who visited Varendra Research Museum (VRM) at least once using random convenient sampling technique and questionnaire designed structured way 5-point Likert scale. concluded that support, communication, guide efficiency display objects play most important role increase visitors. But presence security system does not exert noteworthy impact when integrated into model. current will aid key stakeholders developing clear understanding practical application concept.

Language: Английский

Citations

0
The Impact of Management by Objectives (MBO) on Employee Satisfaction and Performance Appraisal: An Analysis Using Structural Equation Modeling (SEM) DOI Creative Commons
Sunjida Parven, Tusher Ghosh,

Mahmoda Akter

et al.

Journal of Ekonomi, Journal Year: 2024, Volume and Issue: unknown

Published: Aug. 15, 2024

This study explores the impact of Management by Objectives (MBO) method as a performance appraisal tool on employee satisfaction. By employing Structural Equation Modeling (SEM), we examine relationships between various components MBO approach and their influence satisfaction effectiveness. The results emphasize crucial role that different play in enhancing contentment. reveals both direct indirect connections factors significance this research lies providing valuable insights for organizations aiming to improve management practices foster more satisfied productive workforce. It contributes existing body knowledge offers practical implications HR practitioners organizational leaders. However, has limitations, such its focus specific context. Future could investigate additional affecting productivity across diverse industries cultural settings. highlights importance driving serves foundation future development efforts dynamic field management.

Language: Английский

Citations

0
Impact of Account, Transparency, and Accountability Indicators on Economic Growth: Evidence from South Asian Countries DOI Creative Commons
A. K. M. Ashiqur Rahman

Journal of Ekonomi, Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 10, 2024

This study examines the intricate relationships between Account, Transparency, and Accountability indicators GDP growth across a panel of countries, focusing on Current Account Balance (CAB), Net Capital (NCA), Financial (NFA), CPIA Transparency Rating, Voice (VA). Drawing economic theory empirical analysis, we investigate how these variables influence Economic (GDP) dynamics. Theoretical underpinnings suggest that positive CAB reflects trade surpluses, contributing positively to through increased activity, while NCA inflows stimulate long-term productivity gains. Conversely, negative NFA indicates potential adverse effects from capital outflows. Empirical findings using fixed effects, random Feasible Generalized Least Squares (FGLS) regression reveal significant associations: correlate with higher growth, whereas shows impact. VA, important for governance, do not directly affect in this context. research contributes by providing nuanced insights into drivers informing policy strategies sustainable development institutional enhancement.

Language: Английский

Citations

0
Establishing Brand Loyalty in the Fashion and Lifestyle Industry of Bangladesh: A Qualitative Investigation DOI Creative Commons
Md. Abdul Momen,

Mahmoda Akter,

Seyama Sultana

et al.

Journal of Ekonomi, Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 11, 2024

Acquainting oneself with the pertinent habits and routines of a unique brand's loyal prospective consumers is essential for aligning them. The emphasis demonstration our study has been on visible ways in which brand builds long-term connections its consumers. Learn how three popular fashion brands—Le Reve, Infinity, Sailor—use tactics that center maintaining constant voice brand, checking products are up to par, interacting All information, including brands' stated restrictions, report. outcomes regarding implementation each marketing plans were effectively objectified by us. Also, way linked all important things they did keep their coming back. In order get some understanding relevant brands, we used paper as springboard include data collecting methodologies. addition, saliences awareness, well attitudes non-loyal towards these may be better understood thanks this included results an effort help companies through difficult times had when just starting out.

Language: Английский

Citations

0
Development and application of machine learning models in US consumer price index forecasting: Analysis of a hybrid approach DOI Creative Commons
Yunus Emre Gür

Data Science in Finance and Economics, Journal Year: 2024, Volume and Issue: 4(4), P. 469 - 513

Published: Jan. 1, 2024

<p>This study aims to apply advanced machine-learning models and hybrid approaches improve the forecasting accuracy of US Consumer Price Index (CPI). The examined performance LSTM, MARS, XGBoost, LSTM-MARS, LSTM-XGBoost using a large time-series data from January 1974 October 2023. were combined with key economic indicators US, hyperparameters optimized genetic algorithm Bayesian optimization methods. According VAR model results, variables such as past values CPI, oil prices (OP), gross domestic product (GDP) have strong significant effects on CPI. In particular, provided superior in CPI forecasts compared other was found perform best by establishing relationships federal funds rate (FFER) GDP. These results suggest that can significantly provide valuable insights for policymakers, investors, market analysts.</p>

Language: Английский

Citations

0
Evaluating the Effectiveness of Macroeconomic Determinants on the Performance of the Dhaka Stock Exchange: A Time Series Approach DOI Creative Commons

Fairuz Anjum Binte Habib

Journal of Ekonomi, Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 19, 2024

The present study examines the causal relationships between selected macroeconomic factors and Dhaka Stock Exchange Broad Index (DSEX) performance from January 2014 to December 2023. Time series econometric techniques include Dickey-Fuller (ADF) Phillips-Perron (PP) tests verify stationarity, Granger causality investigate short-term dynamics, Johansen's co-integration test evaluate long-term relationships. results show that while there is no cointegration, are significant variables DSEX broad index. GDP growth unemployment significantly impact stock performance, with two-way causality. While interest rates money supply have little on index, inflation forecasts trends in even if it doesn't directly influence it. Overall, index shows how important Bangladesh's dynamics by accurately predicting changes growth, unemployment, inflation. researcher provides unique insights into mechanics of Bangladeshi market, filling a vacuum literature emerging countries. It analyzes conditions affect over time, including COVID-19 pandemic. investigates several providing information for investors policymakers looking increase profits, inform policy choices, promote economic stability. To better knowledge market future studies should other aspects regional markets.

Language: Английский

Citations

0
Factors affecting Loan growth in State-Owned Banks: An insight through FE Model DOI Creative Commons
Probir Kumar Bhowmik,

Gopal Karmakar

Journal of Ekonomi, Journal Year: 2024, Volume and Issue: unknown, P. 28 - 39

Published: Nov. 9, 2024

Loan growth is a critical driver for economic development, and comprehending the determinants affecting lending in state-owned banks vital enhancing financial sector stability performance. This paper examines factors that affect loan Bangladesh. We collected data over 11-year period from 2012 to 2022. applied ordinary least square method primarily followed by fixed effect estimation. To check validity of regression models study, we have considered several diagnostic tests. Our findings indicate influenced industry-dependent variables i.e. size, liquidity, efficiency, non-performing loans, etc. The influence bank income, ratio, cost-to-income ratio main emphasis this study's investigation into influencing lending. According statistics, there significant positive correlation between size Bank liquidity show strong negative correlation. study also found higher associated with loans significantly. efficiency shows substantial impact on improve performance stability, policymakers management may benefit greatly these results. Policymakers need integrate various macroeconomic qualitative elements regulatory frameworks bolster while facilitating sustainable expansion. can enhance decreasing strengthening credit risk management, utilizing strategic expansions increase capacity.

Language: Английский

Citations

0