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The role of financial literacy in accelerating the adoption of a central bank digital currency 金融知识在加速采用央行数字货币中的作用
IF 7.1 2区 经济学 Q1 BUSINESS, FINANCE Pub Date : 2025-10-01 Epub Date: 2025-06-29 DOI: 10.1016/j.bir.2025.06.011
Muhammad Umar
Education plays a vital role in development and adoption of new technologies, making financial education particularly important for the advancement and acceptance of financial innovations. This study explores the impact of financial literacy on the adoption of central bank digital currencies (CBDCs), using data from 72 countries spanning 2010 to 2023. Findings from ordered logistic, ordered probit, logistic, probit, and ordinary least squares consistently reveal that higher levels of financial literacy significantly increase the likelihood of CBDC adoption. Notably, incorporating financial education into primary, secondary, and university curricula has a strong, positive impact on adopting a CBDC. Conversely, countries that have yet to implement financial literacy in public school curricula, but intend to, are currently less likely to adopt CBDCs. These results suggest that for countries planning to launch a CBDC, investment in financial literacy is critical step toward encouraging adoption.
教育在新技术的开发和采用中起着至关重要的作用,因此金融教育对于推进和接受金融创新尤为重要。本研究利用2010年至2023年72个国家的数据,探讨了金融知识对央行数字货币(cbdc)采用的影响。有序逻辑、有序probit、logistic、probit和普通最小二乘的研究结果一致表明,较高的金融知识水平显著增加了采用CBDC的可能性。值得注意的是,将金融教育纳入小学、中学和大学课程,对采用CBDC具有强大的积极影响。相反,那些尚未在公立学校课程中实施金融知识的国家,目前不太可能采用cbdc。这些结果表明,对于计划推出CBDC的国家来说,投资金融知识是鼓励采用CBDC的关键一步。
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引用次数: 0
Financial literacy overconfidence, poor financial behaviour, and loan-taking propensity: The mediating role of financial fragility 金融知识、过度自信、不良金融行为和贷款倾向:金融脆弱性的中介作用
IF 7.1 2区 经济学 Q1 BUSINESS, FINANCE Pub Date : 2025-10-01 Epub Date: 2025-07-10 DOI: 10.1016/j.bir.2025.07.004
Muhammad S. Tahir
Using a large and reliable dataset from the European Union, this study aims to find if financial literacy overconfidence and poor financial behaviour are associated with loan-taking propensity, along with investigating the mediation of financial fragility. By employing probit regression, the findings indicate that both financial literacy overconfidence and poor financial behaviour are positively associated with loan-taking propensity. Other results posit that financial fragility is a strong mediator as it completely mediates the first path and partially mediates the second path. The findings remain consistent after conducting endogeneity checks. The results substantiate the arguments of the dual process theory by showing how heuristic-driven thinking (Type I) forms an overconfidence bias, leading to financial fragility and sub-optimal borrowing decisions. Overall, the results add to the growing literature on overconfidence, financial vulnerability, and debt accumulation. Finally, a range of theoretical and practical implications are discussed along with proposing future research directions.
本研究使用来自欧盟的大型可靠数据集,旨在发现金融知识、过度自信和不良金融行为是否与贷款倾向有关,同时调查金融脆弱性的中介作用。通过probit回归,研究结果表明,金融知识、过度自信和不良金融行为与贷款倾向呈正相关。其他研究结果认为,金融脆弱性是一个强中介,因为它完全中介了第一种路径,部分中介了第二种路径。在进行内生性检查后,结果保持一致。研究结果证实了双过程理论的论点,显示了启发式驱动思维(I型)如何形成过度自信偏见,导致金融脆弱性和次优借款决策。总的来说,这些结果为越来越多的关于过度自信、金融脆弱性和债务积累的文献提供了佐证。最后,讨论了一系列理论和实践意义,并提出了未来的研究方向。
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引用次数: 0
Decoding digital signals: AI sentiment and financial performance at İslamic banks 解码数字信号:人工智能情绪和İslamic银行的财务表现
IF 7.1 2区 经济学 Q1 BUSINESS, FINANCE Pub Date : 2025-09-01 Epub Date: 2025-05-21 DOI: 10.1016/j.bir.2025.05.011
Hassnian Ali , Ahmet Faruk Aysan
This study provides empirical evidence on the role of artificial intelligence (AI) and machine learning (ML) sentiment in influencing financial performance by Islamic banks. Using advanced textual analysis methods, including long short-term memory (LSTM) networks, AI and ML sentiment is derived from annual reports. The study employs fixed-effects regression using the return on equity (ROE) as the primary measure and robustness checks using random forest models and spline regressions to examine their impact on ROE and the return on assets (ROA). It also investigates the mediating role of the development of information communication technologies (ICT) and the moderating effect of growth in the gross domestic product (GDP). Our findings reveal that positive sentiment about AI and ML significantly enhances profitability, and combined sentiment has the strongest predictive power. The mediating role of ICT development highlights the importance of digital infrastructure, and GDP growth emphasizes the contextual dependence of AI-driven innovation.
本研究提供了人工智能(AI)和机器学习(ML)情绪在影响伊斯兰银行财务业绩中的作用的经验证据。使用先进的文本分析方法,包括长短期记忆(LSTM)网络,人工智能和机器学习情绪来源于年度报告。本研究采用固定效应回归,以净资产收益率(ROE)为主要测度,并采用随机森林模型和样条回归检验其对净资产收益率和资产收益率(ROA)的影响。它还调查了信息通信技术(ICT)发展的中介作用和国内生产总值(GDP)增长的调节作用。我们的研究结果表明,对人工智能和机器学习的积极情绪显著提高了盈利能力,并且综合情绪具有最强的预测能力。信息通信技术发展的中介作用突出了数字基础设施的重要性,GDP增长强调了人工智能驱动创新的背景依赖性。
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引用次数: 0
Examining the financial effects of boycotting Israel: Event-study and modern portfolio theory approaches with data from Borsa Istanbul 检查抵制以色列的金融影响:事件研究和现代投资组合理论方法与Borsa伊斯坦布尔的数据
IF 7.1 2区 经济学 Q1 BUSINESS, FINANCE Pub Date : 2025-09-01 Epub Date: 2025-06-06 DOI: 10.1016/j.bir.2025.06.002
Burak Dogan
This study evaluates how the current Israel boycotts affect Borsa Istanbul. An event study in a 45-day window around October 7, 2023 tests abnormal returns for a value-weighted portfolio of 22 boycotted firms using four models (Market, Market-Return, Constant-Mean, CAPM). All detect a clear one-day price hit, though magnitudes vary. For longer horizons we re-create the BIST 30, BIST 100 and Participation 30 indices without the boycotted stocks and follow them to December 31, 2024. Sharpe, Sortino, Treynor and Jensen metrics drift modestly higher, and the revised indices edge ahead in cumulative return, but significance tests give mixed signals. Overall, boycott targets suffer a short-run valuation loss, while indices that exclude them record slightly better risk-adjusted performance over the next year.
这项研究评估了当前以色列的抵制如何影响Borsa伊斯坦布尔。在2023年10月7日左右的45天窗口内的事件研究中,使用四种模型(市场,市场回报,常数均值,CAPM)测试了22家抵制公司的价值加权投资组合的异常回报。它们都预测到明显的单日价格下跌,尽管幅度各不相同。从更长远的角度来看,我们重新创建了不含抵制股票的BIST 30、BIST 100和Participation 30指数,并跟踪它们至2024年12月31日。夏普(Sharpe)、索蒂诺(Sortino)、特雷纳(Treynor)和詹森(Jensen)指标小幅上升,修正后的指数在累积回报方面略微领先,但显著性检验给出了不同的信号。总体而言,抵制目标遭受短期估值损失,而排除它们的指数在未来一年的风险调整后表现略好。
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引用次数: 0
Time-varying performance of betting against beta (BAB) and other risk-based anomalies: Evidence from Asia 做空贝塔(BAB)和其他基于风险的异常的时变表现:来自亚洲的证据
IF 7.1 2区 经济学 Q1 BUSINESS, FINANCE Pub Date : 2025-09-01 Epub Date: 2025-05-16 DOI: 10.1016/j.bir.2025.05.009
Sarika Rakhyani , Sanjay Sehgal , Florent Deisting
This study examines the performance of trading strategies based on beta, idiosyncratic volatility (IVOL), MAX (lottery behavior), skewness, and tail risk in five major Asian markets, using data from 1999 to 2021. The most important determinant of cross-sectional differences in strategy premiums is financial market development, followed by market sentiment and coskewness. The study highlights the time-varying performance of risk-based strategies. “Betting against risk” strategies, except for skewness, work only during downturns, whereas “betting for risk” strategies work during upturns. Hence, a disposition effect is observed over time; investors are risk seekers in downturns and risk-averse in upturns. With respect to skewness, investors prefer positively skewed stocks during downturns. However, the findings for the sample markets are mixed during upturns. The Fama-French five-factor model performs reasonably well, except for three trading strategies. Various behavioral biases explain the premiums on different risk-based strategies.
本研究使用1999年至2021年的数据,考察了亚洲五大市场中基于beta、特殊波动率(IVOL)、MAX(彩票行为)、偏度和尾部风险的交易策略的表现。策略溢价横截面差异的最重要决定因素是金融市场发展,其次是市场情绪和余偏性。该研究突出了基于风险的策略的时变性能。“逆风险押注”策略(除了偏度)只在经济下行时有效,而“押注风险”策略在经济上行时有效。因此,随着时间的推移,可以观察到倾向效应;投资者在经济下行时寻求风险,在经济上行时规避风险。在偏度方面,投资者在低迷时期更喜欢正偏度的股票。然而,样本市场的调查结果在经济好转期间喜忧参半。除了三种交易策略外,Fama-French五因素模型的表现相当好。不同的行为偏差解释了不同基于风险的策略的溢价。
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引用次数: 0
Inverted U-shaped dynamics of capital structure and firm value: Evidence from an emerging market 资本结构与企业价值的倒u型动态:来自新兴市场的证据
IF 7.1 2区 经济学 Q1 BUSINESS, FINANCE Pub Date : 2025-09-01 Epub Date: 2025-05-17 DOI: 10.1016/j.bir.2025.05.010
Cengizhan Karaca , Walid Mensi , Eray Gemici
This study investigates the nonlinear relationship between capital structure and firm value using data from manufacturing firms listed on Borsa Istanbul over the period 2005 to 2023. We use a novel methodology, the Method of Moments Quantile Regression (MMQR), and perform several robustness checks using the novel JKS half-panel jackknife estimation method, and the lag augmented VAR (LA-VAR) panel causality test. Our results show the presence of an inverted U-shaped nonlinear relation between the capital structure and firm value. Specifically, higher borrowing increases firm value in the lower quantiles, while excessive borrowing beyond a threshold adversely decreases it. Causality test results indicate a unidirectional causality from capital structure to firm value. The results have implications for management in manufacturing industries and policymakers, and enhance our understanding of how firms should restrict their borrowing to optimize firm value, maintain financial stability, and foster sustainable growth.
本文利用2005年至2023年在伊斯坦布尔证券交易所上市的制造业企业的数据,研究了资本结构与企业价值之间的非线性关系。我们使用了一种新颖的方法,即矩分位数回归方法(MMQR),并使用新颖的JKS半面板折刀估计方法和滞后增强VAR (LA-VAR)面板因果检验进行了多次稳健性检查。结果表明,资本结构与企业价值之间存在倒u型的非线性关系。具体来说,较高的借贷增加了较低分位数的公司价值,而超过阈值的过度借贷反而降低了公司价值。因果关系检验结果表明,资本结构与企业价值之间存在单向因果关系。研究结果对制造业管理和政策制定者具有启示意义,并增强了我们对企业应如何限制借贷以优化企业价值、保持金融稳定和促进可持续增长的理解。
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引用次数: 0
Network readiness, financial inclusion, and sustainable development goals: Insights from a clustering approach 网络准备、金融包容性和可持续发展目标:来自集群方法的见解
IF 7.1 2区 经济学 Q1 BUSINESS, FINANCE Pub Date : 2025-09-01 Epub Date: 2025-05-26 DOI: 10.1016/j.bir.2025.05.013
Mirjana Jemović , Ivana Marković , Adela Ljajić , Srđan Marinković
This research examines the role of the financial sector in advancing the Sustainable Development Goals (SDGs) by promoting access to financial services and leveraging Information and Communication Technologies (ICTs). Utilizing the k-means++ algorithm, we clustered 41 European countries based on the values of the Network Readiness Index (NRI) pillars—serving as a measure of ICT—and by the achieved values for SDG indicator 8.10, which reflects access to financial services. The results confirmed that cluster differences based on NRI components are significant, particularly with respect to: ownership of accounts with banks, other financial institutions, and mobile-money-service providers; sociodemographic characteristics of financial service users; and contributions to 13 out of the 17 SDGs. Notably, in terms of the impact of financial service access on SDG performance, significant differences between clusters were found in eight out of the 17 SDGs.
本研究考察了金融部门通过促进金融服务的可及性和利用信息通信技术(ict)在推进可持续发展目标(sdg)中的作用。利用k-means++算法,我们根据网络准备指数(NRI)支柱的值(作为信息通信技术的衡量标准)和可持续发展目标指标8.10的实现值(反映金融服务的可及性)对41个欧洲国家进行了聚类。结果证实,基于NRI组成部分的集群差异是显著的,特别是在以下方面:在银行、其他金融机构和移动货币服务提供商的账户所有权;金融服务使用者的社会人口特征;为17项可持续发展目标中的13项做出贡献。值得注意的是,就金融服务获取对可持续发展目标绩效的影响而言,在17个可持续发展目标中,有8个集群之间存在显著差异。
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引用次数: 0
Integrated methodology for estimating zero-coupon yield curves: Evidence from Turkish government nominal bonds 估计零息票收益率曲线的综合方法:来自土耳其政府名义债券的证据
IF 7.1 2区 经济学 Q1 BUSINESS, FINANCE Pub Date : 2025-09-01 Epub Date: 2025-05-05 DOI: 10.1016/j.bir.2025.05.003
M. Ünal Paçcı , Nesrin Okay
This study estimates the zero-coupon yield curves for Turkish government nominal bonds from February 2005 to June 2022 using the Nelson–Siegel–Svensson parametric model. We implement a weighting scheme in the objective function, where squared pricing errors are weighted by the inverse of the square root of the bond duration. This weighting scheme strikes a better balance between the short- and long-maturity bonds during the optimization process. Moreover, by employing four nonlinear optimization algorithms and three parameter initialization approaches, we aim to prevent premature convergence to local optima and improve the quality of fit. Our integrated methodology yields reasonably low in-sample root mean squared error values for price errors and offers clear guidance and a framework for researchers in constructing zero-coupon yield curves.
本研究使用Nelson-Siegel-Svensson参数模型估计了2005年2月至2022年6月土耳其政府名义债券的零票息收益率曲线。我们在目标函数中实现了一种加权方案,其中定价误差的平方由债券持续时间平方根的倒数加权。该权重方案在优化过程中较好地平衡了短期和长期债券之间的关系。此外,通过采用四种非线性优化算法和三种参数初始化方法,我们旨在防止过早收敛到局部最优,提高拟合质量。我们的综合方法为价格误差提供了相当低的样本内均方根误差值,为研究人员构建零息债券收益率曲线提供了明确的指导和框架。
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引用次数: 0
Impact of FinTech on capital allocation: Empirical evidence from Jordan and Palestine 金融科技对资本配置的影响:来自约旦和巴勒斯坦的经验证据
IF 7.1 2区 经济学 Q1 BUSINESS, FINANCE Pub Date : 2025-09-01 Epub Date: 2025-06-13 DOI: 10.1016/j.bir.2025.06.004
Aladeen Hmoud , Fu'ad Magableh , Nemer Badwan , Mohammad Almashaqbeh
The explosive growth of financial technology (Fintech) has transformed the credit and equity markets, providing small businesses with unprecedented access to capital and driving financial inclusion. However, how this financial inclusion affects the effectiveness of capital allocation remains unclear. Addressing this question, this study examines the impact of Fintech on capital allocation efficiency using data on Fintech firms from Jordan and Palestine between 2010 and 2020. Our central hypothesis is that while Fintech promotes financial inclusion, it may simultaneously lead to capital allocation inefficiencies. To measure the presence of Fintech, we use the number of Fintech firms in Jordan and Palestine. We find a striking pattern: the expansion of Fintech firms is associated reduce resource allocation to more efficient firms, suggesting systemic inefficiencies. Both the industry and corporate levels exhibit this trend. Mechanisms analysis reveals that this effect is driven by increased competition in the lending market and efficient stock swaps. Overall, we highlight how changes induced by Fintech in debt financing are the main cause of these inefficiencies. Our findings offer implications and insights for policymakers and Fintech companies by stressing the dual impacts of Fintech on financial markets in Jordan and Palestine. This underlines the necessity for a balanced approach to integrating Fintech innovations to ensure that the benefits of enhanced financial inclusion do not compromise financial efficiency and capital allocation. This study significantly contributes to the literature by delivering a comprehensive analysis of the intricate dynamics between Fintech, financial inclusion, and capital allocation efficiency in Jordan and Palestine.
金融科技(Fintech)的爆炸式增长改变了信贷和股票市场,为小企业提供了前所未有的融资渠道,推动了金融包容性。然而,这种普惠金融如何影响资本配置的有效性仍不清楚。为了解决这个问题,本研究利用2010年至2020年约旦和巴勒斯坦金融科技公司的数据,考察了金融科技对资本配置效率的影响。我们的中心假设是,虽然金融科技促进了金融普惠,但它可能同时导致资本配置效率低下。为了衡量金融科技的存在,我们使用了约旦和巴勒斯坦的金融科技公司数量。我们发现了一个惊人的模式:金融科技公司的扩张与减少资源分配给效率更高的公司有关,这表明系统效率低下。行业和企业层面都表现出这种趋势。机制分析表明,这种效应是由借贷市场竞争加剧和有效的股票互换驱动的。总体而言,我们强调金融科技在债务融资中引发的变化是这些低效率的主要原因。我们的研究结果通过强调金融科技对约旦和巴勒斯坦金融市场的双重影响,为政策制定者和金融科技公司提供了启示和见解。这凸显了采取平衡方法整合金融科技创新的必要性,以确保增强普惠金融的好处不会损害金融效率和资本配置。本研究通过全面分析约旦和巴勒斯坦金融科技、普惠金融和资本配置效率之间错综复杂的动态关系,对文献做出了重大贡献。
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引用次数: 0
Return spillovers between Islamic and conventional banking rates: Evidence from emerging Islamic countries 伊斯兰和传统银行利率之间的回报溢出效应:来自新兴伊斯兰国家的证据
IF 7.1 2区 经济学 Q1 BUSINESS, FINANCE Pub Date : 2025-09-01 Epub Date: 2025-05-26 DOI: 10.1016/j.bir.2025.05.012
Remzi Gök , Shawkat Hammoudeh , Ahdi Noomen Ajmi , Mehmet Balcilar
This study examines return connectedness and spillover shock effects between Islamic profit-sharing rates (PSR) and conventional deposit rates (DPR) of banking sectors across various maturities in Türkiye and Malaysia. Overall, financing rates with various maturities in Türkiye act as transmitters of shocks in both banking sectors. Specifically, short-term rates serve as net spillover transmitters, while long-term rates of DPR and PSR emerge as primary transmitters and receivers, respectively. Total directional connectedness analysis reveals that the degree of integration between sectors fluctuates over time, with political instability and monetary policy actions being key drivers. Although conventional deposit rates dominate their Islamic counterparts in the early part of the study period, a significant policy rate hike in 2014 shifts this balance in favour of profit-sharing rates, suggesting that the conventional banking sector has become increasingly susceptible to shocks originating from the Islamic banking sector in recent years. Moreover, Türkiye's adoption of unconventional monetary policies has reduced integration within the banking system, thereby altering the dynamics of return spillovers, with deposit rates acting as main transmitters. We observe a relatively stable connectivity mechanism over time in Malaysia, where market risk becomes stronger as of 2020. Both short-term rates are net transmitters during most of the sample period, and medium- and longer-term tenors of the Islamic (conventional) banking sector function as net receivers (transmitters). DPR is shown to exert a substantial influence over PSR, with spillover shock effects being more pronounced for shorter tenors. While global factors strongly influence overall connectivity in Türkiye, local factors such as exchange rates, interest rates, and credit default swaps (CDS) play a critical role in net shock transmission. DPRs are shown to be dominant factors in predicting PSRs in Türkiye and both sectors exhibit stronger interactions at higher intervals of time.
本研究考察了土耳其和马来西亚不同期限银行部门的伊斯兰利润分享率(PSR)和传统存款利率(DPR)之间的回报连通性和溢出冲击效应。总体而言,日本不同期限的融资利率在两大银行业中都充当着冲击的传导器。具体而言,短期利率是净溢出的发送器,而DPR和PSR的长期利率分别是主要的发送器和接收器。总定向连通性分析显示,各部门之间的一体化程度随时间而波动,政治不稳定和货币政策行动是关键驱动因素。尽管传统的存款利率在研究期间的早期占主导地位,但2014年的一次重大政策加息使这种平衡转向了利润分享利率,这表明传统银行业近年来越来越容易受到来自伊斯兰银行业的冲击。此外,日本采取的非常规货币政策减少了银行体系内部的一体化,从而改变了回报溢出效应的动态,存款利率成为主要的传导因素。我们观察到,随着时间的推移,马来西亚的互联互通机制相对稳定,其市场风险从2020年开始变得更强。在大多数抽样期间,两种短期利率都是净发送者,而伊斯兰(传统)银行部门的中期和长期利率则是净接收者(发送者)。DPR对PSR产生重大影响,在较短的期限内,溢出冲击效应更为明显。虽然全球因素对全球经济的整体连通性有很大影响,但汇率、利率和信用违约掉期(CDS)等当地因素在净冲击传导中发挥着关键作用。DPRs被证明是预测 rkiye中pprs的主要因素,两个部门在较高的时间间隔内表现出更强的相互作用。
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引用次数: 0
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Borsa Istanbul Review
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