Digital Commons Network^™

Non-Parametric Bayesian Modeling For Predicting Financial Market Volatility, Maab Adil Sabbar, Ahmed Imad Jawad Alradhi

Muthanna Journal of Administrative and Economics Sciences

This study examines methodological developments in modeling financial market volatility, with a particular focus on Bayesian nonparametric approaches as flexible alternatives to traditional parametric models such as GARCH and stochastic volatility frameworks. While characteristics of financial time series—including fat tails, volatility clustering, asymmetry, and structural breaks—limit the effectiveness of rigid parametric specifications, nonparametric Bayesian tools such as Dirichlet Process Mixtures offer adaptive probabilistic structures that better capture the true behavior of returns.
Using daily data from the ISX Main 60 Index, the empirical analysis shows that although the GARCH(1,1) model achieves a good statistical fit, stable volatility estimates, and accurate …

Consumer Behavior In The Social Media Ecosystem: A Scoping Review Of Influential Factors, Huda Fadhil Gatea

Muthanna Journal of Administrative and Economics Sciences

The rapid expansion of social media has fundamentally transformed the ways consumers search for information, interact with brands, and make purchasing decisions. This study provides a structured synthesis of the literature on consumer behavior in the social media ecosystem using a Scoping Review approach aligned with the PRISMA-ScR framework. The review aimed to map the main research streams, identify dominant thematic categories, and clarify the conceptual directions shaping this field. A total of 31 studies published between 2011 and 2025 were included in the final review following a multi-stage screening process involving identification, screening, eligibility assessment, and final inclusion. The …

The Impact Of Integrated Reporting In Rationalizing Investment Decisions And Value Enhancing, Asst Prof Dr. Muna Jabbar Mohammed

Muthanna Journal of Administrative and Economics Sciences

The current research aims to identify and understand integrated reporting reports and to demonstrate their impact in investment decisions of publicly traded companies listed on the Iraq Stock Exchange and their role in enhancing the market value of these companies. To achieve this objective, a questionnaire was distributed to a group of investors in the Iraq Stock Exchange and processed using the SPSS statistical software. The questionnaire was analyzed using several statistical methods (factor analysis, correlation coefficient, and simple linear regression). The research reached several conclusions, the most important of which is that integrated reporting reports are a means of …

Financial Behavior As A Mediating Variable Between Artificial Intelligence Applications And The Enhancement Of Financial Inclusion: An Analytical Study Of The Opinions Of A Sample Of Customers Of The Trade Bank Of Iraq (Tbi) In Al-Muthanna Governorate, Alaa Hussein Lrhayim, Kamal Kadhim Al-Hassani

Muthanna Journal of Administrative and Economics Sciences

This analytical study aims to explain the nature of the relationship between Artificial Intelligence (AI) and the enhancement of Financial Inclusion through examining the mediating role of Financial Behavior. The study was conducted on a sample of customers of the Trade Bank of Iraq (TBI) in Al-Muthanna Governorate. A structured questionnaire was designed to measure the main research variables, namely Artificial Intelligence, Financial Behavior, and the level of Financial Inclusion. The research gap stems from the limited ability of previous studies to explain how Artificial Intelligence can contribute to enhancing Financial Inclusion, as most studies have examined this relationship directly …

Measuring And Analysing The Impact Of The Construction Sector On Per Capita Real Gdp In Iraq For The Period 2000–2024, Haider Abd Radhi

Muthanna Journal of Administrative and Economics Sciences

This study examines the extent to which the construction sector contributes to the national economy, specifically through its contribution to gross domestic product (GDP) at constant prices and per capita GDP. as this sector, which constitutes a significant part of the national economy in Iraq, aims to achieve an increase in GDP and per capita GDP and to achieve economic growth through the development of infrastructure in Iraq. Standard methods were used to measure the impact of the construction sector (the independent variable) on per capita real GDP (the dependent variable) during the period from 2000 to 2024, using the …

The Influence Of Managerial Attitudes And Dynamic Capabilities On E-Marketing Adoption Among Small And Medium Tourism Enterprises, Hilal Maabad Ame, Omari Khalifa Mbura, Amani Gration Tegambwage

Arab Economic and Business Journal

This study examines how managerial attitudes and dynamic capabilities shape e-marketing adoption among Small and Medium Tourism Enterprises (SMTEs) in Zanzibar, using PLS-SEM on survey data from 216 SMTEs in the Urban-West and South Regions. Drawing on the Decomposed Theory of Planned Behaviour and Dynamic Capabilities Theory, the study finds that perceived ease of use and perceived security significantly increase adoption, while perceived usefulness and compatibility significantly decrease it suggesting that recognising a technology's value is insufficient without the operational capacity to act on it. Supporting this, dynamic capabilities significantly strengthen the usefulness–adoption and compatibility–adoption relationships, but show no moderating …

The Mundlak Estimator In A Panel Data Model With Serially Correlated Error Component Disturbances, Badi H. Baltagi, Long Liu

Center for Policy Research

This paper shows that the classic Mundlak (1978) result where the random effects estimator reduces to the fixed effects estimator when the regressors are all correlated with the individual effects, may not hold if the remainder disturbances have a general serial correlation variance-covariance matrix. This includes the popular AR(1), MA(1) and ARMA(p, q) processes for serial correlation. This is illustrated with an empirical example for the AR(1) case.

Analyzing The Relationship Between Ai-Enhanced Accounting Disclosure And Financial Reporting Quality: Digital Transparency As A Mediating Variable, Mawj Abbas Jasim Al-Hchaimi, Hasan Talib Hashim, Mohammed Adhab Jassim

Muthanna Journal of Administrative and Economics Sciences

The current research aims to study the relationship between AI-enhanced accounting disclosure and the quality of financial reports in the Iraqi banking sector, while also examining the role of digital transparency as a mediating variable in explaining this relationship. The research was conducted on a sample of 180 financial managers, accountants, internal auditors, and IT specialists from three Iraqi banks: Bank of Baghdad, Al-Rasheed Bank, and the Commercial Bank of Iraq. The research employed a descriptive, analytical, and field-based methodology, using a structured questionnaire, personal interviews, and objective system-performance indicators as the main tools of data collection. Data were analyzed …

The Ecological Impacts Of Un-Protecting Forests: The Case Of Gold Mining In Ghana, Tate Alexander Barend

Master's Theses

This paper estimates the causal effect of Ghana’s Legislative Instrument 2462 (L.I. 2462) on deforestation in protected areas. The policy redefined the regulatory regime governing small-scale gold mining in protected areas, moving from prohibition to discretionary permitting. I exploit the implementation of L.I. 2462 as a policy shock and apply a difference-in-differences event-study framework to a propensity score–matched sample of pixels derived from high-resolution satellite images. Contrary to widespread concerns that the policy would accelerate deforestation, the results provide no evidence of large-scale vegetation loss in exposed protected areas following the policy change. Instead, protected area pixels located within 5 …

Theoretical Analysis And Promotion Path Of Coordinated Digital-Intelligent And Green Transformation In Manufacturing Industry, Chaokai Xue, Xiaohui Qu, Laijun Wang, Yifan Yang

Bulletin of Chinese Academy of Sciences (Chinese Version)

The coordinated digital-intelligent and green transformation in the manufacturing industry serves as a key lever for accelerating the sector’s progress towards intelligence, greenization, and integration. This study defines the connotation and key characteristics of the coordinated digital-intelligent and green transformation, constructs a theoretical analysis framework, identifies its current status and challenges, and proposes a promotion pathway based on above work. Drawing upon theories from digital economics, environmental economics, and industrial economics, this study develops an analytical framework characterized by scenario-driven dynamics, technology-enabled transformation, organizational collaboration, and environmental support. It further proposes actionable pathways, including enhancing scenario supply capacity, accelerating the …

Global Trends In Coordinated Digital-Intelligent And Green Transformation Of Manufacturing: Experience And Implications, Haiping Zhao, Yaxin Zhao, Lingshuo Song, Ling Jian, Jun Wang, Shuwei Zang, Xiujie Wu

Bulletin of Chinese Academy of Sciences (Chinese Version)

The coordinated digital-intelligent and green transformation of manufacturing is emerging as a major direction for advancing the transformation and upgrading of the global manufacturing sector and reshaping industrial competitive advantages. This study systematically analyzes the evolution of this transformation worldwide, the transformation pathways adopted by different economies, and the strategic priorities of key industries. It then examines Germany, the United States, and Japan as representative cases to illustrate their respective approaches and practices. Drawing on China’s existing development foundations and current shortcomings, the study puts forward corresponding policy recommendations. The findings reveal that the global coordinated transformation has progressively moved …

Field Research And Policy Recommendations On Coordinated Digital-Intelligent And Green Transformation Of China’S Traditional Manufacturing Industry—Evidence From Key Traditional Manufacturing Industries In Shandong Province, Dingding Xiao, Peng Hui, Shaoni Liu, Xinxin Du, Laijun Wang, Guilong Zhu, Wenbo Guo

Bulletin of Chinese Academy of Sciences (Chinese Version)

The coordinated digital-intelligent and green transformation of traditional manufacturing is an important pathway for upgrading traditional industries and accelerating the development of a modern industrial system. Based on field research involving more than 20 representative enterprises in Shandong Province across automobile manufacturing, coal processing, textiles, and petrochemicals, this study systematically examines the practical progress, typical models, major constraints, and policy needs associated with this transformation. The findings show that China’s traditional manufacturing sector is shifting from isolated upgrading to system integration, from production-focused transformation to full life-cycle coordination, and from individual-enterprise initiatives to industrial-chain collaboration. Nevertheless, it still faces insufficient …

Progress, Experience, And Recommendations From Pilot Programs For Coordinated Digital-Intelligent And Green Transformation In Ten Regions Of China, Yingtong Chen, Yupeng Shi, Bin Li, Xue Niu, Qiang Ji, Lin Xiang

Bulletin of Chinese Academy of Sciences (Chinese Version)

Coordinated digital-intelligent and green transformation is an important pathway for advancing high-quality manufacturing development. Focusing on the first batch of comprehensive pilot programs for coordinated digital and green transformation launched in 2023, this study combines literature review, text analysis, and comparative case analysis to examine the practices and phased outcomes of ten pilot regions. It identifies three pathways—digital-enabled green transformation, green-driven digital transformation, and integrated digital-green development—and summarizes key experiences in institutional design, infrastructure restructuring, platform innovation, and tool empowerment. The findings show that the pilot regions have adopted differentiated approaches based on their industrial foundations, resource endowments, and development …

Development Assessment And Strategic Recommendations For Integrated Digital-Intelligent And Green Technology In China’S Manufacturing Industry, Hongyan Zhang, Yuting Peng, Yajing Sun, Peng Zhou, Yanfei Zhao, Xiangjun Yang, Chao Zhang

Bulletin of Chinese Academy of Sciences (Chinese Version)

The manufacturing industry is currently under the dual pressure of coordinated digital–intelligent and green transformation, and promoting the deep integration of these two dimensions has become a strategic choice for enhancing industrial competitiveness. Clarifying the current status and future directions of convergence technologies that integrate digital intelligence and green development can help optimize the coordinated transformation pathways for manufacturing, thereby providing strong support for high-quality economic development. Therefore, this study focuses on the technological foundation underpinning the transformation, delineating the development landscape of integrated digital-intelligent and green technologies in manufacturing industry from a patent perspective. The study analyzes the current …

Fintech Enables Regional Economic Growth And Coordinated Development, Xirong Huang, Jichang Dong, Xiuting Li, Zhi Dong

Bulletin of Chinese Academy of Sciences (Chinese Version)

Based on multi-source big data, this study analyzes the current situation and internal logic of fintech enabling regional economic growth and coordinated development in the new development stage, from the aspects of stimulating R&D, promoting talent dividend process, and amplifying regional spillover effect, in view of the current challenges facing China’s regional coordinated development. Then, it analyzes the challenges and problems in fintech-enabled regional coordinated development, including the significant regional fintech gap, obstacles in the effectiveness of fintech in underdeveloped regions, the lack of fintech talents, and the fintech regulation and information protection system need to be improved. Finally, corresponding …

It Takes Two To Tango. Capital Constraints And Bank Lending In Poland, Marcin Czaplicki

Journal of Banking and Financial Economics

The implementation of post-crisis (Basel III) capital requirements in 2015, followed by the introduction of the banking tax in 2016, marked a turning point for the loan-to-GDP ratio in Poland. Since Q4 2015, this ratio has declined by almost one-third, while the ratio of banks’ assets to GDP has remained relatively stable. However, the composition of bank assets has shifted – from corporate lending toward an increased share of sovereign bonds and retail loans, particularly mortgages.

This article explores the key drivers behind this structural shift. Using a combination of qualitative insights and quantitative analysis – including dynamic panel data …

Entire Volume Journal Of Banking And Financial Economics 2026, 1(25)

Journal of Banking and Financial Economics

Entire Volume Journal of Banking and Financial Economics 2026, 1(25)

New Trends In Banking And Financial Markets. Opening Remarks, Sylwia Frydrych

Journal of Banking and Financial Economics

New Trends in Banking and Financial Markets. Opening Remarks

Assessing The Financial Impact Of Spoofing Attacks In Michigan’S Finance Industry, Shatarsha Smith

Walden Dissertations and Doctoral Studies

Spoofing attacks have become an increasingly significant cybersecurity threat, exposing organizations and customers to financial losses by impersonating trusted identities in digital environments. Cybersecurity leaders need a better understanding of how information security maturity and the selection of cybersecurity strategy relate to spoofing loss outcomes. Grounded in game theory, the purpose of this quantitative cross-sectional correlational study was to examine the relationships among information security maturity, cybersecurity strategy selection, and spoofing loss outcomes in the financial industry. Data were collected from approximately 90 IT professionals employed in a Michigan-based government office in the public finance sector with at least 5 …

Trust, Delegation, And Alignment In Human-Ai Decision Making, Erik O. Kimbrough, Brennan Mcdavid, Diba Vazirian

ESI Working Papers

This paper studies delegation to artificial intelligence in a setting where human principals retain the consequences of delegated choices. Participants wrote prompts instructing ChatGPT-4o mini how to choose on their behalf in three canonical economic domains: risky choice, intertemporal choice, and social allocation. We then elicited the compensation participants required to let the AI’s choices count for payment and compared participants’ own choices to choices generated from their prompts. The design produces two central empirical objects: a revealed measure of reluctance to delegate, captured by willingness to accept compensation for AI delegation, and a behavioral measure of alignment, captured by …

Accounting Response To Inflation And Its Implication On Economic Development In Nigeria, Jimoh Ojo Ihiovi

Bullion

This study examines the relationship among inflation, accounting responses, investment, regulatory compliance and economic development in Nigeria. It uses secondary data from official macroeconomic sources and selected corporate reports and applies descriptive statistics, correlation analysis and Ordinary Least Squares regression. The reported results show a negative association between inflation and GDP per capita, while accounting response, investment and regulatory compliance have positive associations with economic development. The study recommends stronger inflation-sensitive disclosures, improved enforcement and professional capacity, while recognising that IAS 29 applies only where its hyperinflation criteria are met.

Non-Oil Exports And International Reserves In Nigeria: A Descriptive Assessment (1981-2023), Oluwabunmi Dada

Bullion

This study examines non-oil exports and international reserve accumulation in Nigeria using annual data from 1981 to 2023. Descriptive statistics, correlation analysis and trend analysis are employed. Services and agricultural exports show modest positive associations with reserves, while manufacturing exports record a strong negative association and mining exports show a negligible relationship. Real GDP, the exchange rate and external debt are positively correlated with reserves. The findings support policies that strengthen export competitiveness, value addition and macroeconomic stability. The reported relationships are descriptive and should not be interpreted as causal effects.

Cash Reserve Ratio As A Monetary Policy Tool In Nigeria: Implications For Banking System Liquidity And Stability, Baba N. Yaaba Phd, Usenobong Akpan Phd

Bullion

In pursuit of price stability, the Central Bank of Nigeria (CBN) deploys a range of monetary policy instruments to regulate liquidity conditions and influence macroeconomic outcomes. Among these, the Cash Reserve Ratio (CRR) has played an increasingly prominent role in recent tightening cycles. While these measures aimed to curb excess liquidity and inflationary pressures, concerns have emerged regarding their implications for bank intermediation and financial stability. This study evaluates the impact of CRR on banking system liquidity and stability in Nigeria using an Autoregressive Distributed Lag (ARDL) model and monthly data from June 2010 to March 2025. The results confirm …

Preventive Interventions Targeting Social Determinants Of Health: Implications For Healthcare Utilization And Cost, Audrey Wrinkle

NEXUS: The Liberty Journal of Interdisciplinary Studies

Preventive interventions targeting social determinants of health could reduce avoidable healthcare utilization and positively impact long-term cost outcomes within healthcare systems. Evidence indicates that financial and social barriers to preventive care lead to delayed treatment and increased use of high-cost healthcare services in the long term. Preventive interventions focusing on upstream social factors, like home-based care and digital health programs, could improve patient outcomes and reduce avoidable service utilization. Also, incorporating social needs data into policy creation could promote better allocation of healthcare resources. This research highlights the role of prevention-focused strategies in promoting cost-effective, sustainable healthcare delivery.

Determinants Of Ai Adoption In Banking: Evidence From Tunisia, Rahma Khattab, Sami Bacha

Arab Economic and Business Journal

This study investigates the factors influencing customers’ intentions to adopt Artificial Intelligence (AI) banking services in Tunisa. Building on an integrated framework combining the Technology Acceptance Model, Unified Theory of Acceptance and Use of Technology, Theory of Planned Behavior, Perceived Risk Theory, and Diffusion of Innovation Theory, the study investigates how perceived usefulness, perceived ease of use (, awareness, knowledge, attitude, subjective norms, trust, and perceived risk influence AI adoption intentions. Using survey data from 400 Tunisian retail banking customers and applying regression analysis, the findings show that perceived usefulness, perceived ease of use, subjective norms, and trust positively and …

20 Years Of The Kalamazoo Promise: A Visual Guide To Selected Highlights, Kathleen Bolter

Reports

No abstract provided.

Bridging Fiscal Sustainability And Health Equity: A Policy Analysis Of California’S Healthcare Coverage Safeguards, Guadalupe Castaneda Martinez

Master's Projects and Capstones

Without structural policy intervention, approximately 4.6 million Californians remain at risk of being uninsured by 2030, worsening racial and ethnic health disparities and hospital uncompensated care burdens. This policy analysis advocates for a hybrid universal coverage model combining sliding-scale subsidies (California Senate Bill 78) with full-scope Medi-Cal expansion for all income-eligible residents regardless of legal status (California Assembly Bill 133). The framework relies on existing funding mechanisms, including the Managed Care Organization tax and the Health Care Affordability Reserve Fund. Comparative analysis indicates that market-only subsidies leave severe equity gaps, whereas immediate single-payer transitions pose substantial fiscal and administrative risks. …

Lessons From Tanzania’S Ujamaa For Smart Settlements In Nepal: Social Justice And Economic Development, Keshav Bhattarai, Ambika P. Adhikari

Himalayan Research Papers Archive

Nepal’s constitutional commitment to a “socialism-oriented” state places social justice, equitable access to resources and housing, and protection of marginalized populations at the center of national development discourse. However, persistent landlessness, informal settlements, unemployment, youth outmigration, and unequal access to infrastructure reveal a significant gap between constitutional aspirations and socioeconomic realities.

This article examines lessons Nepal can draw from Tanzania’s experience with Ujamaa, the African socialist development model initiated by President Nyerere in 1967. Using comparative policy analysis, published research, official documents, and exploratory field observations from selected Tanzanian locations, including the capital and villages in the Iringa Region, the …

Shock-Absorption Capacity In Menaap: A Regional Diagnostic Using The Policy Space Index, Alexei Kireyev

Arab Economic and Business Journal

This paper assesses the short-term shock-absorption capacity of the Middle East, North Africa, Afghanistan, and Pakistan (MENAAP) using the Policy Space Index (PSI). The PSI integrates fiscal, monetary, and reserve indicators and adjusts them for institutional constraints to measure nominal and effective shock-absorption capacity. The key finding is that MENAAP effective policy space averaged about 11 percent of GDP in 2024, roughly half the global average and heavily concentrated in oil exporters. The constraints lie in MENAAP's institutional arrangements and insufficient fiscal discipline. Easing them requires fiscal consolidation alongside structural reforms to address the institutional bottlenecks.

What, Exactly, Is Surveillance Pricing?, Kaylina Stroud

McNair Summer Research Program

Surveillance pricing is a method of price discrimination in which firms use personal data to set individualized prices. While this practice is often criticized on grounds of privacy, unfairness, or exploitation, these objections do not fully explain what is morally objectionable about surveillance pricing. This paper examines surveillance pricing through the lenses of price discrimination, market competition, efficiency, exploitation, and deception. I argue that surveillance pricing is not inherently unethical merely because it results in different consumers paying different prices for the same product. Nor is it necessarily objectionable when it promotes mutually beneficial exchanges and efficient market outcomes. The …