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Dynamic volatility spillovers among commodities, bitcoin, and emerging markets 大宗商品、比特币和新兴市场之间的动态波动溢出效应
IF 4.6 2区 经济学 Q1 BUSINESS, FINANCE Pub Date : 2025-09-30 DOI: 10.1016/j.ememar.2025.101375
Jesús Molina-Muñoz , Andrés Mora-Valencia , Javier Perote
In this study, the dynamic volatility spillovers among emerging markets, Bitcoin, and commodities are analyzed using Diebold and Yilmaz's spillover framework. As a by-product, a total volatility spillover index among an emerging markets index, Bitcoin, gold, and oil prices is forecast using traditional methods, machine learning, and deep learning, providing a method for anticipating turbulent periods. The results support the importance of volatility in oil prices, uncertainty about U.S. economic policy, and the stability of the sovereign bonds market for the dynamics of volatility spillovers, validating the ability of machine and deep learning approaches to predict those spillovers.
本研究采用Diebold和Yilmaz的溢出框架,分析了新兴市场、比特币和大宗商品之间的动态波动溢出效应。作为副产品,利用传统方法、机器学习和深度学习预测新兴市场指数、比特币、黄金和石油价格之间的总波动溢出指数,为预测动荡时期提供了一种方法。研究结果支持了油价波动、美国经济政策的不确定性以及主权债券市场的稳定性对波动溢出效应的重要性,验证了机器和深度学习方法预测这些溢出效应的能力。
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引用次数: 0
Impact of energy restructuring on green technology innovation in the context of climate policy uncertainty 气候政策不确定性背景下能源结构调整对绿色技术创新的影响
IF 4.6 2区 经济学 Q1 BUSINESS, FINANCE Pub Date : 2025-09-30 DOI: 10.1016/j.ememar.2025.101377
Shikuan Zhao , Sabri Boubaker , Ahmed Imran Hunjra , Ping Yang
We examine the impact of energy restructuring on green innovation by using a panel dataset from 30 provinces spanning from 2011 to 2021. We find that energy restructuring significantly enhances urban green technological innovation, particularly in provinces with high industrialization, concentrated manufacturing, and strict environmental regulations. This study provides a novel perspective by examining the dynamic relationship between energy restructuring and green innovation, with a focus on the mediating roles of labor productivity and digital infrastructure. It also uncovers significant spatial spillover effects, demonstrating that energy restructuring not only benefits the targeted regions but also positively impacts neighboring areas.
本文利用2011 - 2021年中国30个省份的面板数据,研究了能源结构调整对绿色创新的影响。研究发现,能源结构调整显著促进了城市绿色技术创新,特别是在工业化程度高、制造业集中、环保法规严格的省份。本研究通过考察能源结构调整与绿色创新之间的动态关系提供了一个新的视角,重点研究了劳动生产率和数字基础设施的中介作用。研究还发现,能源结构调整不仅有利于目标区域,也会对周边地区产生积极影响。
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引用次数: 0
Dynamics and predictability in informal currency markets: The case of the Cuban Peso 非正式货币市场的动态和可预测性:以古巴比索为例
IF 4.6 2区 经济学 Q1 BUSINESS, FINANCE Pub Date : 2025-09-30 DOI: 10.1016/j.ememar.2025.101374
Alejandro García-Figal , Milton García-Borroto , Carlos Lage-Codorniu , Roberto Mulet , Alejandro Lage-Castellanos
We investigate the short-term dynamics and predictability of the Cuban informal currency market, a critical case study for understanding emerging foreign exchange markets in countries with informal financial systems. Using social media messages of sell/buy intentions as a proxy for real market activity, we define a reference price for this informal market based on the Walrasian auction to capture market price trends. We explore how market fluctuations correlate with public announcements and news events, with a particular focus on understanding why overshooting events occur and how they can be anticipated. While the inherent inefficiency of these markets implies some level of predictability, standard methods fall short in capturing trend changes during overshooting episodes. To address this, we employ advanced Artificial Neural Networks (GRU-type), fine-tuned through bootstrapping, to generate accurate short-term forecasts. Our findings highlight that inefficiencies in informal markets create exploitable patterns, and that a neural network — carefully calibrated and optimized — is essential for anticipating overshooting events. This study contributes empirical evidence to the understanding of informal market dynamics and underscores the importance of developing predictive tools tailored to emerging foreign exchange markets.
我们调查了古巴非正式货币市场的短期动态和可预测性,这是了解具有非正式金融体系的国家新兴外汇市场的关键案例研究。利用社交媒体上的卖/买意向信息作为真实市场活动的代理,我们根据瓦尔拉斯拍卖为这个非正式市场定义了一个参考价格,以捕捉市场价格趋势。我们将探讨市场波动如何与公告和新闻事件相关联,特别侧重于理解为什么会发生超调事件以及如何预测它们。虽然这些市场固有的低效率意味着某种程度的可预测性,但标准方法在捕捉超调时期的趋势变化方面存在不足。为了解决这个问题,我们采用先进的人工神经网络(gru型),通过自引导进行微调,以生成准确的短期预测。我们的研究结果强调,非正规市场的低效率创造了可利用的模式,而经过仔细校准和优化的神经网络对于预测超调事件至关重要。本研究为理解非正式市场动态提供了经验证据,并强调了开发适合新兴外汇市场的预测工具的重要性。
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引用次数: 0
Monetary policy and foreign exchange interventions in emerging small open economies 新兴小型开放经济体的货币政策和外汇干预
IF 4.6 2区 经济学 Q1 BUSINESS, FINANCE Pub Date : 2025-09-25 DOI: 10.1016/j.ememar.2025.101370
Pedro Henrique Alves Pereira , Jose Angelo Divino
Compared with developed countries, emerging small open economies (ESOEs) experience greater economic fluctuations, mostly driven by commodity price shocks, balance-sheet constraints, and procyclical fiscal policies. This paper examines how monetary and sterilized foreign exchange (FX) interventions affect welfare and economic stability in the ESOEs. Sterilized FX interventions consistently improve welfare in all monetary policy arrangements. Ignoring the output gap in Taylor-type interest rate rules leads to significant welfare costs, particularly in economies with high exposure to foreign markets. The combination of Friedman rule with FX intervention neutralizes money-financed fiscal deficit and foreign shocks, improves welfare by reducing economic volatility, and highlights the importance of coordinated monetary and FX policies to stabilize ESOEs.
与发达国家相比,新兴小型开放经济体(ESOEs)的经济波动更大,其主要原因是大宗商品价格冲击、资产负债表约束和顺周期财政政策。本文考察了货币和冲销外汇(FX)干预如何影响ESOEs的福利和经济稳定。在所有货币政策安排中,冲销式外汇干预持续改善福利。在泰勒式利率规则中忽略产出缺口会导致巨大的福利成本,特别是在那些对外市场敞口很大的经济体中。弗里德曼规则与外汇干预的结合可以中和货币融资的财政赤字和外国冲击,通过减少经济波动来改善福利,并强调协调货币和外汇政策以稳定esoe的重要性。
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引用次数: 0
Interconnectedness and systemic risk in financial networks: Fresh evidence from India 金融网络中的互联性和系统性风险:来自印度的新证据
IF 4.6 2区 经济学 Q1 BUSINESS, FINANCE Pub Date : 2025-09-23 DOI: 10.1016/j.ememar.2025.101373
Harshit Kumar Sharma , Wasim Ahmad
Under a dynamic multivariate set-up with time-varying probabilities, we show that the Indian financial network exhibits a high degree of interconnectedness during crisis periods with banks as emitters and NBFCs as receivers of shocks. The structure of systemic risk is endogenous in nature due to the regulations and operational coverage. The dynamic interplay between systemic risk and network connectedness suggests that a sudden rise in systemic risk results in a significant increase in total connectedness, while a connectedness shock has a significant and short-term effect on systemic risk. At the institutional level, a shock to an institution's systemic risk contribution has a long-term impact on its net connectedness, while an unexpected rise in an institution's net connectedness has a persistent and decaying effect on its systemic risk contribution. The learnings are extremely helpful for regulators and banking sector investors.
在具有时变概率的动态多元设置下,我们表明印度金融网络在危机期间表现出高度的互联性,银行作为冲击的排放者,nbfc作为冲击的接受者。由于监管和业务覆盖的关系,系统性风险的结构本质上是内生的。系统风险与网络连通性之间的动态相互作用表明,系统风险的突然上升导致总连通性显著增加,而连通性冲击对系统风险具有显著的短期影响。在制度层面,对机构系统性风险贡献的冲击对其净连通性有长期影响,而机构净连通性的意外上升对其系统性风险贡献有持续和衰减的影响。这些经验教训对监管机构和银行业投资者非常有帮助。
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引用次数: 0
Digital credit scoring and household consumption: Evidence from Sesame Credit in China 数字信用评分与家庭消费:来自中国芝麻信用的证据
IF 4.6 2区 经济学 Q1 BUSINESS, FINANCE Pub Date : 2025-09-22 DOI: 10.1016/j.ememar.2025.101372
Jie Li , Wenwen Zhou , Xiaohong Li , Yu Wu
This study investigates the welfare-enhancing effects of digital personal credit scoring systems, with a particular focus on household consumption. Utilizing the latest nationally representative microdata from the China Household Finance Survey (CHFS) for 2021 and 2023, our empirical analysis demonstrates that Sesame Credit – Ant Group's digital credit product - exerts a statistically significant positive effect on household consumption expenditure. This stimulative effect is particularly observed in developmental and hedonic consumption. Mechanism analysis reveal that this impact operates primarily through improved credit accessibility and the relief of liquidity constraints. Furthermore, our results suggest that vulnerable households benefit more from Sesame Credit.
本研究调查了数字个人信用评分系统的福利增强效应,特别关注家庭消费。利用中国家庭金融调查(CHFS) 2021年和2023年最新的具有全国代表性的微观数据,我们的实证分析表明,蚂蚁集团的数字信贷产品芝麻信用对家庭消费支出具有统计学显著的正向影响。这种刺激作用在发展性消费和享乐性消费中尤其明显。机制分析表明,这种影响主要通过改善信贷可及性和缓解流动性约束来发挥作用。此外,我们的研究结果表明,弱势家庭从芝麻信用中受益更多。
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引用次数: 0
Actual controllers with foreign residency rights and corporate tax avoidance: Evidence from private listed companies in China 具有境外居留权的实际控制人与企业避税:来自中国民营上市公司的证据
IF 4.6 2区 经济学 Q1 BUSINESS, FINANCE Pub Date : 2025-09-21 DOI: 10.1016/j.ememar.2025.101371
Xiaozhen Pan, Sabahati Aimaiti
This study empirically tests the effect of actual controllers with foreign residency rights on corporate tax avoidance using a sample of A-share private listed companies in Shanghai and Shenzhen from 2013 to 2022. The results show that actual controllers with foreign residency rights increase corporate tax avoidance. Specifically, this occurs only under conditions of high tax collection intensity, low media attention, concurrent executive positions, and indirect shareholding. Further research shows that actual controllers with foreign residency rights increase the enterprise's information asymmetry and financing constraints.
本文以2013 - 2022年沪深两市a股民营上市公司为样本,实证检验具有境外居留权的实际控制人对企业避税的影响。结果表明,具有境外居留权的实际控制人增加了企业的避税行为。具体来说,这种情况只发生在税收征收强度高、媒体关注度低、高管职位同时存在以及间接持股的情况下。进一步研究表明,具有外国居留权的实际控制人增加了企业的信息不对称和融资约束。
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引用次数: 0
Private savings and COVID-19 in Sub-Saharan Africa 撒哈拉以南非洲的私人储蓄与COVID-19
IF 4.6 2区 经济学 Q1 BUSINESS, FINANCE Pub Date : 2025-09-18 DOI: 10.1016/j.ememar.2025.101363
Boileau Loko , Nelie Nembot , Marcos Poplawski-Ribeiro
The paper investigates the impact of COVID-19 on private savings and economic activity in Sub-Saharan Africa (SSA). Using data for at least 13 SSA economies, we find that private saving rates have not increased during COVID-19 in SSA, a finding that contrasts with other regions in the world. Instead, COVID-19 mortality in our estimations is significantly associated with a decline in private savings and economic growth in SSA. Robustness checks and analyses of household surveys during the pandemic validate and explore some of the underlying drivers of those results. The paper further confirms real per capita economic growth as a key determinant of private savings in the region since 1983.
本文调查了2019冠状病毒病对撒哈拉以南非洲地区私人储蓄和经济活动的影响。我们利用至少13个SSA经济体的数据发现,在2019冠状病毒病期间,SSA的私人储蓄率没有增加,这一发现与世界其他地区形成了对比。相反,在我们的估计中,COVID-19死亡率与SSA的私人储蓄下降和经济增长显著相关。大流行期间对住户调查的稳健性检查和分析验证并探讨了这些结果的一些潜在驱动因素。论文进一步证实,自1983年以来,实际人均经济增长是该地区私人储蓄的关键决定因素。
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引用次数: 0
How stressed are the banks? An inter-temporal network analysis 银行的压力有多大?跨时间网络分析
IF 4.6 2区 经济学 Q1 BUSINESS, FINANCE Pub Date : 2025-09-17 DOI: 10.1016/j.ememar.2025.101369
Pankaj Swain , Abhishek Poddar , Arun Kumar Misra
This study employs a network model to examine the dynamics of stress in the Indian banking system. The study designs comprehensive Stress Network Structures under different phases of the economic cycle by integrating stress scores of constituent banks with a measure of return connectedness among them. Important metrics of the Stress Network Structures are combined to construct respective Stress Network Indices (SNIs). Besides identifying significant determinants of SNIs, the analysis identified major stress-emitting institutions. Our results underscore the potential of rapid stress transmission and greater destabilizing impact in a tightly interconnected Stress Network, characterized by a high average clustering coefficient and lower average path length. The paper also measures the magnitude of stress spillover, emphasizing its positive association with the degree of interconnectedness among banks during economic upturns and downturns. From a policy perspective, the study recommends a greater regulatory focus on Systemically Important Banks (SIBs) that serve as the epicenters of stress propagation.
本研究采用网络模型来考察印度银行系统的压力动态。本研究通过整合各组成银行的压力得分,并结合各组成银行之间的回报连通性来设计经济周期不同阶段下的综合压力网络结构。结合应力网络结构的重要指标,构建相应的应力网络指标。除了确定sni的重要决定因素外,分析还确定了主要的压力释放机构。我们的研究结果强调了在紧密连接的应力网络中快速应力传递和更大的不稳定影响的潜力,其特征是高平均聚类系数和较低的平均路径长度。本文还测量了压力溢出的大小,强调其与经济上行和下行期间银行之间的相互联系程度呈正相关。从政策角度来看,该研究建议加大对系统重要性银行(SIBs)的监管力度,因为它们是压力传播的中心。
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引用次数: 0
Does inflation targeting live up to all the hype? 通胀目标制是否如其所言?
IF 4.6 2区 经济学 Q1 BUSINESS, FINANCE Pub Date : 2025-09-13 DOI: 10.1016/j.ememar.2025.101358
Taniya Ghosh, Yadavindu Ajit
This study evaluates the impact of inflation targeting (IT) on inflation levels, volatility, and persistence in 59 emerging markets from 1985 to 2019, addressing the limitations of traditional methods that ignore staggered adoption. Using methodology that accounts for staggered implementation, IT is found to significantly reduce inflation, particularly when hyperinflationary economies are excluded. However, its effects on volatility and persistence are less conclusive. While traditional models suggest initial reductions in volatility, incorporating staggered adoption reveals no lasting impact. Similarly, IT does not significantly influence inflation persistence. The findings emphasize IT’s effectiveness in lowering inflation but limited influence on other aspects.
本研究评估了通货膨胀目标制(IT)对1985年至2019年59个新兴市场的通货膨胀水平、波动性和持久性的影响,解决了传统方法忽略交错采用的局限性。使用考虑交错实施的方法,发现IT可以显著降低通货膨胀,特别是在排除恶性通货膨胀经济体的情况下。然而,其对波动性和持久性的影响则不那么具有决定性。虽然传统模型表明波动性最初会降低,但纳入错开的采用并未显示出持久的影响。同样,IT也不会显著影响通货膨胀的持续性。研究结果强调了IT在降低通胀方面的有效性,但对其他方面的影响有限。
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引用次数: 0
期刊
Emerging Markets Review
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