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Analisis Implementasi Clinical Pathway Terhadap Length Of Stay (Los) Dan Biaya Perawatan Pasien Anak Dengan Demam Berdarah Dengue (Dbd) Di Rsi Nu Demak, Akhmad Safi’i, Muhammad Zulfikar Asumta, Abdul Aziz 2026 Rumah Sakit Islam Nahdlatul Ulama Demak, Jawa Tengah 59571, Indonesia. Asosiasi Rumah Sakit Nahdlatul Ulama (ARSINU) Jakarta Pusat, 10430

Analisis Implementasi Clinical Pathway Terhadap Length Of Stay (Los) Dan Biaya Perawatan Pasien Anak Dengan Demam Berdarah Dengue (Dbd) Di Rsi Nu Demak, Akhmad Safi’I, Muhammad Zulfikar Asumta, Abdul Aziz

Jurnal Ekonomi Kesehatan Indonesia

Clinical pathway (CP) is a quality and cost control instrument in hospitals designed to ensure service standardization, efficiency of Length of Stay (LOS), and control of healthcare costs. Dengue Haemorrhagic Fever (DHF) in children is an infectious disease that often requires hospitalization, with considerable variation in LOS and treatment costs. This study aimed to assess the effectiveness of CP implementation on LOS and cost of care among pediatric DHF patients at Rumah Sakit Islam Nahdlatul Ulama (RSI NU) Demak. This research applied a quantitative approach using a retrospective descriptive-analytic design. Data were obtained from medical records of 34 pediatric DHF …


Analisis Kesesuaian Prinsip Syariah Pada Mekanisme Buy Now, Pay Later (Shopee Paylater), Berliana Rizkia 2026 Universitas Koperasi Indonesia

Analisis Kesesuaian Prinsip Syariah Pada Mekanisme Buy Now, Pay Later (Shopee Paylater), Berliana Rizkia

Jurnal Manajemen dan Usahawan Indonesia

The development of financial technology in Indonesia has brought various innovations in payment systems, one of which is the Buy Now, Pay Later (BNPL ) service offered by Shopee through the Shopee PayLater feature. This service allows consumers to purchase goods online with deferred payment. However, this mechanism raises questions about its compatibility with sharia principles, considering Indonesia has the world's largest Muslim population. This research aims to analyze the Shopee PayLater mechanism and assess its compliance with Islamic economic principles, particularly regarding the prohibition of riba , gharar, and maysir. The method used is qualitative research with a descriptive-analytical …


From Metrics To Impact: Exploring Social Dimension Impact Within Employee Lens In Banking Sector, Meiwinda Mariana Sianturi, Marko S. Hermawan 2026 Bina Nusantara University, Indonesia

From Metrics To Impact: Exploring Social Dimension Impact Within Employee Lens In Banking Sector, Meiwinda Mariana Sianturi, Marko S. Hermawan

Jurnal Akuntansi dan Keuangan Indonesia

Background: This study explores the integration of the social dimension of Environmental, Social, and Governance (ESG) principles within the banking sector, using the GRI 400 standards as a guiding framework. Method: Drawing on qualitative data from 18 employees at different levels ranging from outsourcing staff to Group Head level at one of Indonesian private bank. Findings: The findings reveal a clear gap between formal ESG metrics and employees’ real-life experiences. Employee awareness and perceptions differ notably by position, with higher level employees often showing greater responsiveness and a stronger intention to integrate sustainability into their daily work. Conversely, outsourced and …


Deep Analysis In Excel Without Vba: Creating Transparent Portable User-Defined Functions With =Lambda, Tom Arnold, Timothy Falcon Crack 2026 University of Richmond

Deep Analysis In Excel Without Vba: Creating Transparent Portable User-Defined Functions With =Lambda, Tom Arnold, Timothy Falcon Crack

Finance Faculty Publications

You can exploit your current knowledge of Excel's formula language to build customized Excel functions. These user-defined functions are so fast and transparent that they may be useful for validating AI answers or replacing them altogether. You can now use loops that previously required VBA or JavaScript. The functions use Excel's new =LAMBDA and =MAKEARRAY functions. You can assign personalized names to functions and their input variables, and they are portable between Workbooks. We present simple examples showing basic syntax, building up to a compact fixed income example: a user-defined function using a Taylor series to estimate the change in …


Expansion, Diversification, And Delinquency In Indonesian Fintech Lending Platforms, Muhammad Miqdad Robbani, Megat Nagainaka, Mahanani Margani 2026 University of Sydney & Institut Teknologi dan Bisnis Jakarta

Expansion, Diversification, And Delinquency In Indonesian Fintech Lending Platforms, Muhammad Miqdad Robbani, Megat Nagainaka, Mahanani Margani

Bulletin of Monetary Economics and Banking

This study examines the impact of loan expansion and diversification strategies on credit risk in Indonesia’s fintech lending sector using panel data from 102 registered platforms between 2022 and 2025. Employing fixed-effects regression models, we analyse how loan growth and diversification influence delinquent loans. The findings reveal a non-linear relationship between loan growth and delinquent loans, implying that while moderate expansion reduces risk, excessive growth is associated with increased credit defaults, and diversification is not significant. These findings emphasise the importance of prudent growth and targeted risk management to ensure the sustainability of the fintech lending ecosystem.


Does Green Electricity Mitigate Carbon Emission Externalities? Industry-Specific Effects On Firm Profitability, Operational Efficiency, Valuation, And Market Risk In Taiwan Listed Companies, Mutiara Eka Puspita, Wei Hwa Pan, Bon Long Hsia, Huynh Phu Tan 2026 National Yunlin University of Science and Technology

Does Green Electricity Mitigate Carbon Emission Externalities? Industry-Specific Effects On Firm Profitability, Operational Efficiency, Valuation, And Market Risk In Taiwan Listed Companies, Mutiara Eka Puspita, Wei Hwa Pan, Bon Long Hsia, Huynh Phu Tan

Bulletin of Monetary Economics and Banking

his study explores the relationship between carbon emissions and firm financial performance across industries and how green electricity adoption moderates this effect. Using 9,925 firm-year observations from the Taiwan Economic Journal, we estimate panel regressions and compare Fixed Effects robust and Driscoll-Kraay (1998) standard errors to ensure robustness. Two-way and three-way interaction models reveal a green electricity paradox: biotech firms benefit, while financial and high-tech sectors decline. These findings highlight the need for sector-specific ESG investment models and tailored policy support to ensure an equitable green transition. The study contributes by integrating environmental-financial dynamics with industry heterogeneity in emerging markets


Bank Stability Under Global Risk Uncertainty: The Interplay Of Internal Characteristics And External Regulatory Environment, Erfan Rachmadi, Bowo Setiyono, Bimo Saktiawan, Muizzuddin Muizzuddin 2026 Universitas Gadjah Mada, Indonesia

Bank Stability Under Global Risk Uncertainty: The Interplay Of Internal Characteristics And External Regulatory Environment, Erfan Rachmadi, Bowo Setiyono, Bimo Saktiawan, Muizzuddin Muizzuddin

Bulletin of Monetary Economics and Banking

This study examines the impact of global political and climate uncertainty on bank stability, utilizing panel data from 604 banks across 40 countries during the period 2011–2022. Through fixed effects and difference GMM methodologies, the analysis reveals that both geopolitical and climate risks adversely affect bank stability. Notably, tightening governance creates a ‘regulatory compliance paradox’ which leads to lower climate readiness and bank stability. We also identified that capital buffers matter in enhancing bank readiness to face geopolitical and climate uncertainty. However, efficiency plays a dual role. In times of geopolitical risk, it is necessary, but we also can’t achieve …


A Smart Contract Framework For Project Financing In Gold Mining Operations: Implications For Improved Financial Forecasting, Silvia Lydia Priskilla, Mohammed Ali Berawi, Mustika Sari Dr. 2026 Universitas Indonesia

A Smart Contract Framework For Project Financing In Gold Mining Operations: Implications For Improved Financial Forecasting, Silvia Lydia Priskilla, Mohammed Ali Berawi, Mustika Sari Dr.

Smart City

Gold mining projects are characterized by high capital intensity and significant operational variability, making financial forecasting particularly sensitive to the quality and timing of cash-flow data. In practice, conventional financing systems rely on multi-stage administrative processes that create delays between work completion and payment realization, reducing the reliability of financial records used for investment evaluation.

This study aims to develop a smart contract-based financing framework to improve the accuracy of profitability projections in gold mining projects. A case study approach is employed using operational and financial data from a mining project in Sumatra over the period 2023–2026. The analysis combines …


Daniels Distinction Portfolio By Adrian Minde Hunshammer, Adrian Minde Hunshammer 2026 University of Denver

Daniels Distinction Portfolio By Adrian Minde Hunshammer, Adrian Minde Hunshammer

Finance: Undergraduate Distinction Portfolios

A Daniels Distinction Portfolio of experiential education by Adrian Hunshammer.


The Dynamics Of Beta Mean Reversion, Dimitry Afanasenko 2026 University of Denver

The Dynamics Of Beta Mean Reversion, Dimitry Afanasenko

Finance: Undergraduate Distinction Theses

This thesis examines whether firm-specific characteristics help explain cross-sectional variation in the speed of beta mean reversion among large-cap U.S. equities. Using WRDS market-model betas based on trailing weekly returns, the study constructs non-overlapping annual June beta observations for a stable sample of 190 firms that remained continuous constituents of the S&P 500 from 2000 through 2024. The analysis proceeds in three stages. First, pooled and fixed-effects panel regressions test whether beta mean reversion exists in the sample overall. Second, a firm-specific persistence parameter, gamma, is estimated from rolling ten-year windows of annual betas in order to measure differences in …


Customer Adoption And Trust In Indonesian Islamic Banking: A System Dynamics Perspective, Imam Wahyudi Mr., Komarudin Komarudin, Prof. Rifki Ismal 2026 Universitas Indonesia

Customer Adoption And Trust In Indonesian Islamic Banking: A System Dynamics Perspective, Imam Wahyudi Mr., Komarudin Komarudin, Prof. Rifki Ismal

ASEAN Marketing Journal

Research Aims: This study reframes the growth challenge of Indonesia’s Islamic banking as a financial-service marketing problem: strengthening customer adoption, trust, and perceived value to expand market penetration in a dual-banking environment while maintaining resilience.

Design/Methodology/Approach: Using a system dynamics perspective, the study develops a causal loop diagram (CLD) grounded in a review of policy-document and prior empirical marketing/Islamic banking literature. A multi-actor lens is applied to map how regulators, government, customers, conventional banks, fintech, and ESG investors shape adoption and competitive dynamics.

Research Findings: The CLD identifies seven reinforcing loops that can accelerate adoption and market share (capability reinvestment, …


Modeling Volatility Dynamics In The U.S. Public Real Estate Stock Market: Evidence From Conditional Volatility Decomposition And Sector Benchmarking, Mariam Mohamed El Naghi 2026 The American University in Cairo AUC

Modeling Volatility Dynamics In The U.S. Public Real Estate Stock Market: Evidence From Conditional Volatility Decomposition And Sector Benchmarking, Mariam Mohamed El Naghi

Theses and Dissertations

This study examines volatility dynamics between the U.S. public real estate stock market and the broader equity market, with a focus on sectoral conditional volatility sensitivity to market conditional volatility across different volatility regimes. Using daily stock price data from  to , conditional volatilities of real estate stocks and the market index are estimated through a GARCH-framework that incorporates Monday and Friday dummy variables in both the conditional mean and conditional variance equations as controls for calendar-based anomalies. The estimated conditional volatilities are used to estimate volatility-to-volatility elasticities at the firm and aggregate levels and are benchmarked against other equity …


Does Green Pay Less? Global Corporate Bond Evidence On Primary And Secondary Yields, Youssef El Kenawy 2026 The American University in Cairo AUC

Does Green Pay Less? Global Corporate Bond Evidence On Primary And Secondary Yields, Youssef El Kenawy

Theses and Dissertations

The greenium, or green premium, refers to the lower yield that arises from a bond’s green label, conditional on otherwise identical contractual features and credit risk. In our study, we estimate the greenium by combining causal matching techniques with a neural network–based propensity score approach to construct a closely comparable set of green and conventional bonds. Our empirical framework incorporates issuer fixed effects and currency × issuance-year fixed effects, ensuring that our estimates reflect the impact of the green label itself rather than differences in macro-financial conditions or issuer composition.

Our findings indicate that, once currency-specific issuance-year conditions are absorbed, …


Creating User-Defined Financial Statement Analysis Functions In Excel, Tom Arnold, Xia (Summer) Liu, Cassandra D. Marshall 2026 University of Richmond

Creating User-Defined Financial Statement Analysis Functions In Excel, Tom Arnold, Xia (Summer) Liu, Cassandra D. Marshall

Finance Faculty Publications

KEY TAKEAWAYS:

Using Excel’s =LAMBDA and =MAKEARRAY functions, user-defined functions are created to generate (1) sets of ratios covering net working capital, DuPont analysis, and leverage, and (2) a set of related cash flow calculations.

Computing and presenting related ratios and cash flows as a unified set allows for more efficient financial statement analysis.

User-defined functions can be copied from a referenced source file into any new spreadsheet, allowing immediate use in the new file because all associated programming is transferred.


The Influence Of Religiosity On Financial Reporting Quality Across Countries: The Moderating Effect Of Legal Origin, Abdellatif Adem, Raida Chakroun 2026 University of Carthage, Institute of Higher Commercial Studies, LIGUE LR99ES24, Tunisia

The Influence Of Religiosity On Financial Reporting Quality Across Countries: The Moderating Effect Of Legal Origin, Abdellatif Adem, Raida Chakroun

Economic and Business Review

This study examines the connection between religiosity and earnings quality, employing accrual-based and real earnings management as key indicators. By analyzing data from 22 countries from 2020 to 2023, the study identifies a negative correlation between religiosity and earnings manipulation, suggesting that managers in more religious environments are less prone to such practices. The robustness of these results is validated through multiple methods and alternative religiosity metrics. Furthermore, the study highlights the role of legal systems in shaping this relationship, demonstrating that managers in religious nations governed by civil law are more likely to engage in earnings management. This study …


Reassessing The Spillover Hierarchy: Evidence Of A Dual-Channel Mechanism Across India's Market Capitalization Spectrum, Aditya Joshi 2026 Centre of Distance and Online Education, Lovely Professional University

Reassessing The Spillover Hierarchy: Evidence Of A Dual-Channel Mechanism Across India's Market Capitalization Spectrum, Aditya Joshi

Management Dynamics

Background: The transmission of financial shocks across market segments is a critical determinant of systemic risk and contagion. While volatility spillovers between large and mid-cap stocks are well-documented, the role of the micro-cap segment in the broader market ecosystem remains underexplored.

Objective: This study aims to provide a comprehensive analysis of shock transmission across the entire market capitalization spectrum of the Indian equity market, encompassing large-, mid-, small-, and micro-cap segments.

Materials and Methods: Employing a Vector Autoregression (VAR) framework, the dynamics have been investigated through Granger causality tests, impulse response functions, and forecast error variance decomposition. To ensure the …


Outgoing President Newman: “The Future Of The Mda Is Defined By All Of Us”, David Foe 2026 Michigan Dental Association

Outgoing President Newman: “The Future Of The Mda Is Defined By All Of Us”, David Foe

The Journal of the Michigan Dental Association

In her final address to the MDA House of Delegates, outgoing President Dr. Cheri Newman reviews the association's progress over the past administrative year. She highlights achievements in strengthening financial stability, advocating for solutions to dental workforce shortages, and expanding community access to care. Newman also discusses the ongoing strategic review of member values and a comprehensive governance review intended to position the association for the future of dentistry. She emphasizes that the organization's strength lies in the collective engagement of its membership.


Settlement Manipulation In Prediction Markets, David DAI, Ruizhe JIA, Shihao YU 2026 Singapore Management University

Settlement Manipulation In Prediction Markets, David Dai, Ruizhe Jia, Shihao Yu

Research Collection Lee Kong Chian School Of Business

Prediction markets increasingly list contracts settling on an asset price that holders can move by trading the underlying. We build a model showing that such contracts transfer wealth from prediction-market liquidity traders to manipulators and harm price discovery in the underlying, even as it becomes more liquid. After the launch of Polymarket's five-minute Bitcoin contract, settlement-time spot order flow spikes, causing large price reversals after settlement. Manipulators capture a large amount of profit, mostly from retail. Manipulation is largely absent in the fifteen-minute contracts: lengthening the contract horizon removes it, providing the market-design remedy our model and evidence support.


An Integrated Analytics Model For Evaluating Strategic Investments Under Volatile Conditions, Atul Chandra, R. Hartley 2026 Edith Cowan University

An Integrated Analytics Model For Evaluating Strategic Investments Under Volatile Conditions, Atul Chandra, R. Hartley

Research outputs 2022 to 2026

Strategic projects are exposed to multiple uncertainties within a competitive environment that result in trade-off between two decisions, early investment that pre-empts competitors versus delay to allow resolution of uncertainties. Unlike the binary net present value (NPV) based decision to invest or abandon now, our multiple volatility real option games approach (MVR games) frames strategic investment decisions as a dynamic process for future options. It is a decision tree framework that computes and analyses strategic net present value (SNPV) using four MVR games modules and decision making. SNPV combines NPV with two offsetting real option and strategic values. Real option …


Queuing Uncertainty Of Limit Orders, Bart Yueshen ZHOU 2026 Singapore Management University

Queuing Uncertainty Of Limit Orders, Bart Yueshen Zhou

Research Collection Lee Kong Chian School Of Business

Limit orders submitted around the same time are subject to random latencies and will be queued accordingly. In equilibrium, end-of-queue limit orders always lose money—the liquidity supply appears excessive. The model generates empirical predictions regarding such “overshooting” liquidity: (i) new limit orders appear fleeting—clustered submissions are followed by immediate cancellations, (ii) the resulting cancel-to-add count ratio reflects adverse selection, and (iii) the cancel-to-add size ratio measures high-frequency market-making activity. Welfare can be hurt by the overshooting liquidity if it induces excessive speculation. Overall, the model contributes to a more comprehensive understanding and better utilization of order book data.


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