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This study aims to determine the role of gold as a safe haven, hedge and asset diversification for Shariah stock in conditions of extreme stock market declines.

Quantitative approach is used by applying the threshold generalized autoregressive conditional heteroskedasticity (TGARCH) model to capture bad or good news in the market condition and quantile regression method to obtain the extreme values of stock returns in several market conditions. The data used were the daily closing price of gold and the Jakarta Islamic Index from January 2011 to October 2022.

The average conditions show gold does not have a hedge property and only acts as an asset diversification. Second, gold has a substantial, safe haven property in every economic condition. However, the safe-haven property of gold seemed to weaken during the most extreme stock market decline. Thus, although gold appears as a safe haven and asset diversification, it remains a risky investment and only provides a minor role in the face of the extreme stock market period.

This research provides a discourse and literature for Islamic investors and investor managers to choose the right investment instrument in various economic conditions where gold has a function as diversification and safe haven in their asset portfolio under any other asset portfolio conditions which is also in line with modern portfolio theory. For policymakers, the study can be used as material for consideration in making policies related to the accessibility of gold as an investment instrument.

This study presents the originality by using the price of Antam gold as a proxy for gold investment during the latest research year data and focusing on case studies in Islamic capital market in Indonesia. Moreover, this research provides quantile regression that sharply discussion in various economics condition.

In this paper, we aim to provide an extensive analysis to understand how various factors influence electricity prices in competitive markets, focusing on the day-ahead electricity market in Romania.

Our study period began in January 2019, before the COVID-19 pandemic, and continued for several months after the onset of the war in Ukraine. During this time, we also consider other challenges like reduced market competitiveness, droughts and water scarcity. Our initial dataset comprises diverse variables: prices of essential energy sources (like gas and oil), Danube River water levels (indicating hydrological conditions), economic indicators (such as inflation and interest rates), total energy consumption and production in Romania and a breakdown of energy generation by source (coal, gas, hydro, oil, nuclear and renewable energy sources) from various data sources. Additionally, we included carbon certificate prices and data on electricity import, export and other related variables. This dataset was collected via application programming interface (API) and web scraping, and then synchronized by date and hour.

We discover that the competitiveness significantly affected electricity prices in Romania. Furthermore, our study of electricity price trends and their determinants revealed indicators of economic health in 2019 and 2020. However, from 2021 onwards, signs of a potential economic crisis began to emerge, characterized by changes in the normal relationships between prices and quantities, among other factors. Thus, our analysis suggests that electricity prices could serve as a predictive index for economic crises. Overall, the Granger causality findings from 2019 to 2022 offer valuable insights into the factors driving energy market dynamics in Romania, highlighting the importance of economic policies, fuel costs and environmental regulations in shaping these dynamics.

We combine principal component analysis (PCA) to reduce the dataset’s dimensionality. Following this, we use continuous wavelet transform (CWT) to explore frequency-domain relationships between electricity price and quantity in the day-ahead market (DAM) and the components derived from PCA. Our research also delves into the competitiveness level in the DAM from January 2019 to August 2022, analyzing the Herfindahl-Hirschman index (HHI).

Energy poverty presents substantial challenges for both developed and developing nations, with the latter experiencing more pronounced adverse effects due to issues related to the provision and equitable access of energy resources. This study aims to provide a deep understanding of how financial development, economic complexity and government expenditures can impact energy poverty.

This research employs generalized method of moments (GMM) estimation on panel data to investigate the economic determinants of energy poverty in 31 developing countries from 2000 to 2020. For a comprehensive analysis, the proxies for energy poverty include access to electricity, access to clean fuels and energy consumption.

The findings suggest that while financial development cannot facilitate access to clean fuels in developing countries, it contributes to an increase in energy access and consumption. Another finding is that energy poverty can be alleviated by enhancing economic complexity since economic complexity can result in increased access to electricity and increased use of clean energy sources. Furthermore, the results underscore the pivotal role of government expenditures, surpassing the influence of financial development. In other words, government expenditures have the potential to significantly improve energy poverty across all three indices.

This is a pioneering research that seeks to examine some economic dynamics including, financial development and economic complexity on energy poverty and provide valuable guidance for policymakers aiming to promote sustainable energy development with respect to economic dynamics.

This paper aims to propose a novel model that addresses the limitations of current practices, through considering quantitative and qualitative criteria in the decision-making process for equipment replacement.

Literature review and consultation with professionals in the heavy construction industry was conducted to identify the criteria influencing the replacement of construction machines. A questionnaire survey using analytic hierarchy process and multi-attribute utility theory was used to rank these criteria and establish their utility scores. Sensitivity analysis was performed to assess how adjustments in the weights of main criteria would impact equipment replacement decisions.

The identified criteria were classified into three categories: economic, technical and socioenvironmental, encompassing a total of 15 criteria. The findings indicated that salvage value/meeting payback period/maximizing profitability held the highest importance in the replacement process, followed by considerations like high repair and maintenance cost; working condition and economic conditions. Safety and social benefits scored the least among all criteria and categories.

This study focuses on earth-moving equipment and involves experts from the Eastern Province of Saudi Arabia. The model introduces a novel methodology to aid decision-makers, particularly contractors and project managers, in determining when to replace heavy construction equipment, which results in resource efficiency and time saving.

The model integrates expertise and knowledge from experts to establish criteria for replacing construction equipment. This research aims to improve the functionality of the decision-making process regarding the acquisition or replacement of equipment throughout its lifespan.

This study aims to examine the role of financial inclusion and institutional factors such as corruption and the rule of law (RL) on the credit risk and stability of banks.

The study considers a sample of 61 developing countries and uses very robust estimation techniques that allow controlling for endogeneity, heteroskedasticity and serial correlation, such as instrumental variables method in two-stage least squares (IV-2SLS), instrumental variables generalized method of moments (IV-GMM), as well as system of generalized methods of moments in two stages (Sys-2GMM).

The results confirm that financial inclusion and strengthening the RL can significantly contribute to reducing credit risk and improving the financial stability of banks; in contrast, the authors find that weak control of corruption aggravates credit risk. In addition, they found that greater competitiveness in the banking sector increases credit risk.

This study supports the need to promote financial inclusion and strengthen institutional factors to improve the stability of the banking sector, as well as promote general well-being in the economy.

This study contributes to the scarce literature by simultaneously using institutional factors such as corruption and the RL and macroeconomic variables such as economic growth and inflation in the relationship between financial inclusion and the banking sector, as well as considering competitiveness as an explanatory factor for banks’ credit risk and stability.

This study aims to address the critical need for innovative financing solutions in the global housing sector, focusing specifically on Malaysia’s distinct housing finance system encompassing both conventional and Islamic loans. The primary objective is to develop a transformative housing finance model that addresses affordability challenges and reshapes the Malaysian housing landscape.

The study presents an alternate housing finance model for Malaysia, integrating lower monthly payments and reduced household debt. Key variables include house price appreciation rates, interest rates, initial guarantee fees and loan-to-value ratios. Inspired by the Help to Buy (HTB) scheme, the model aligns with proven global initiatives for enhanced affordability, balancing payment amounts, loan interest rates and acceptable price thresholds.

The study’s findings promise to address affordability disparities and reshape Malaysia’s housing finance landscape. The emphasis is on introducing a structured repayment plan that offers a sustainable path to homeownership, particularly for low-income families. Incorporating the future value adaptation concept, inspired by reverse mortgages and Islamic finance, enhances adaptability, ensuring long-term sustainability despite economic shifts.

The proposed model promotes widespread access to homeownership, offering practical solutions for policymakers to improve affordability, prompting adaptable risk management strategies for financial institutions and empowering potential homebuyers with increased flexibility.

The study introduces a transformative housing finance model for Malaysia, merging elements from reverse mortgages, Islamic finance and the HTB scheme, offering potential applicability to similar systems globally.

The COVID-19 pandemic has profoundly impacted the global economy, disrupting supply chains, causing job losses and altering consumer demand. In Malaysia, the real estate sector has been notably affected, with increased property impairments and overhang due to unprecedented uncertainty. Understanding these effects is crucial for policymakers and investors to prevent real estate and banking crises. This study aims to analyse the relationships between macroeconomic factors during the pandemic on property impairments and overhang, providing insights for maintaining macroeconomic stability. The findings will inform strategies for mitigating economic shocks, identifying opportunities, and guiding real estate policies in Malaysia and potentially globally.

This research article uses a time series ARDL regression analysis to examine pivotal macroeconomic factors including income, housing process, interest rates and unemployment on property loan impairments and property supply overhang in Malaysia. ARDL is effective to measure and analyse time series data, especially to understand the lagged impacts of macroeconomic factors. This can be seen by various economists in analysing macroeconomic factors affecting non-performing loans or the real estate finance using regression analyses both in Malaysia and other regions. The observations are gathered before, during and after the COVID-19 pandemic, spanning a five-year period with monthly frequency from 2018 to 2022.

The study emphasizes the critical importance of effectively managing unemployment and implementing policy interventions, such as moratoriums, to stabilize the economy and reduce the risk of loan impairments during crises like the COVID-19 pandemic. Additionally, this study highlights a significant inverse relationship between income per capita and loan impairments, underscoring the necessity for policies that promote economic growth and income equality. Initiatives targeting job creation, education and skills development can elevate income levels, thereby decreasing loan impairments. Lower lending interest rates during the pandemic also help mitigate the risk of loan impairments by facilitating borrowing, stimulating economic activity and enhancing financial well-being. Furthermore, the study suggests that while lower interest rates incentivize property developers and investors, understanding the intricate interaction between housing prices and supply is crucial for policymakers and stakeholders to effectively manage the housing market and ensure adequate housing supply, especially during crises.

This paper provides insight for policymakers, regulators, investors and property consultants into the dynamic effects of key macroeconomic factors amidst a global recession in how they impact the real estate market with regards specifically to all types of property loan impairments and property supply overhang. The observations are limited to the COVID-19 period, spanning five years with monthly data from 2018 to 2022. This understanding can facilitate the development of targeted strategic monetary policies and investment decisions in case of future recessions.

Policymakers should prioritize initiatives such as moratoriums and job creation programs to mitigate economic downturns. Additionally, financial institutions need to adjust lending practices in response to lower interest rates, while stakeholders in the housing market must understand the complex dynamics between housing prices and supply to ensure a balanced market. Overall, addressing underlying economic factors and implementing targeted policies are essential for building resilience and promoting sustainable economic growth amidst challenging circumstances.

Initiatives aimed at fostering income equality, creating employment opportunities and ensuring housing accessibility contribute to greater social cohesion and well-being. By promoting financial inclusion and building resilience to crises, societies can mitigate the adverse social impacts of economic challenges such as unemployment and housing affordability. Overall, addressing socioeconomic disparities and promoting inclusive growth are essential for fostering a more equitable and resilient society.

The originality and uniqueness of this study lie in its comprehensive analysis of the impact of COVID-19 on loan impairments and housing supply. While previous studies have focused on the pandemic’s effects on specific segments of the real estate market or property prices, this study provides a broad overview of its impact on property loan impairments and housing supply overhang. Finally, this study highlights the social and practical implications. Overall, this study offers a distinctive analysis of COVID-19’s impact on the real estate market and its implications for policymakers, real estate professionals and investors.

Critical examination of Bangladeshi laws related to workers’ rights in the garment industry. This paper aims to examine the impact of foreign direct investment (FDI) on the protection of garment workers’ rights in Bangladesh, analyzing how international investment practices influence labor standards and the overall well-being of workers in the garment industry.

In this study, qualitative and analytical methods has been used to analyze legal frameworks related to labor rights in Bangladesh and BITs.

The findings indicate a need to strengthen the current legal framework to better protect workers' rights in Bangladesh. The study also provides recommendations for the relevant authorities to improve the existing laws.

Novel idea critically evaluating the Bangladeshi legal framework in the context of foreign direct investment and implications for worker's rights.

While extensive research has explored poverty in various dimensions, there remains a notable dearth of studies focusing on success stories of slum dwellers overcoming adversity. This research seeks to address this gap by investigating the strategies employed by individuals to transcend poverty. Moreover, it evaluates the practicality and effectiveness of existing theories in real-world contexts through careful interpretation.

Data were gathered from two distinct cases through comprehensive, in-depth interviews. These narratives were subjected to scrutiny employing the Description Analysis Interpretation method. Subsequent interpretation and theoretical exploration were guided by Bourdieu’s class theory. The overarching goal was to shed light on the remarkable journeys of specific slum residents who surpassed the constraints of poverty. This endeavor not only highlighted the practical efficacy of these theories but also underscored their relevance in illuminating real-world scenarios through interpretation.

The findings underscore the capacity of slum dwellers to rise above poverty, thereby emphasizing the practical utility of specific theories aimed at poverty alleviation in elucidating their experiences. Notably, social capital, a cornerstone of Bourdieu’s class theory, emerges as equally pivotal as economic capital in shaping individuals' trajectories.

The study’s scope is confined to narratives within the Colombo slums, offering a platform for future researchers to extend their investigations beyond this context. By employing alternative methodologies and exploring diverse geographical regions, scholars can broaden their understanding of poverty alleviation strategies and their applicability across varied socioeconomic landscapes. This calls for wider research for comprehensive exploration and comprehension of poverty dynamics beyond singular locales.

The study provides invaluable insights for policymakers, governmental bodies and nongovernmental organizations, urging them to reconsider and reformulate policies, educational strategies and community development programs tailored to the needs of slum dwellers and their children. These insights offer a pathway toward more effective interventions aimed at fostering sustainable upliftment within these marginalized communities.

This research fills a critical gap in poverty literature by exploring success stories of slum dwellers overcoming adversity, an area often overlooked. It uniquely investigates the strategies these individuals employ to transcend poverty, offering fresh insights into the practical application of poverty alleviation theories. Utilizing Bourdieu’s class theory, the study highlights the importance of both social and economic capital in these success narratives. By focusing on real-life experiences, it underscores the relevance and utility of these theories in real-world contexts, enriching the theoretical discourse and providing valuable perspectives for policymakers and practitioners.

This paper examines the impact of foreign direct investment (FDI) on the economic growth of Afghanistan over the period 1990 to 2019.

This study uses an autoregressive distributed lag (ARDL) to measure FDI’s impact on economic growth and determine the short- vs long-run relationship.

The results show that the F-bound cointegration test confirms the long-run relationship among the variables. The long-run and short-run results reveal that foreign direct investment has a significant negative impact on economic growth in the long run. However, domestic investment and labour force have a significant and positive impact on economic growth in the long run. Moreover, the impact of trade openness on economic growth is insignificant in the long run, while it has a significant negative impact in the short run.

In this study, we contribute to this research area by analysing the function of FDI in economic growth from Afghanistan’s experience and perspectives. This is the first study empirically examining this relationship in Afghanistan while considering other selected macroeconomic indicators. This paper could greatly benefit policymakers in Afghanistan by guiding the formulation of FDI policies that would spur its economic growth and development.