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Not all political shocks are alike: Decoding the heterogeneous impacts of political uncertainties in the LNG market 并非所有的政治冲击都是相似的:解读政治不确定性对液化天然气市场的异质影响
IF 10.4 2区 经济学 Q1 BUSINESS, FINANCE Pub Date : 2026-03-13 DOI: 10.1016/j.frl.2026.109802
Junmei Hu, Yuhan Wen, Jianping Wang, Pengxiang Zhai, Liyuan Luan
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引用次数: 0
Inflationary U.S. Federal Budget Projections 通胀的美国联邦预算预测
IF 10.4 2区 经济学 Q1 BUSINESS, FINANCE Pub Date : 2026-03-13 DOI: 10.1016/j.frl.2026.109803
Juan Equiza-Goñi
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引用次数: 0
A novel spillover connective network approach: Evidence from US energy markets 一种新的溢出连接网络方法:来自美国能源市场的证据
IF 10.4 2区 经济学 Q1 BUSINESS, FINANCE Pub Date : 2026-03-13 DOI: 10.1016/j.frl.2026.109806
Jung-Bin Su
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引用次数: 0
Corporate agile responsiveness, product differentiation, and investor confidence 企业敏捷响应、产品差异化和投资者信心
IF 10.4 2区 经济学 Q1 BUSINESS, FINANCE Pub Date : 2026-03-13 DOI: 10.1016/j.frl.2026.109804
Qiankui Li, Tan Wang
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引用次数: 0
Clean energy transition and enhanced global value chain positioning: The moderating influence of the digital economy 清洁能源转型与全球价值链定位提升:数字经济的调节作用
IF 10.4 2区 经济学 Q1 BUSINESS, FINANCE Pub Date : 2026-03-12 DOI: 10.1016/j.frl.2026.109801
Yu Ren, Xiongfei Liu, Yi Zhu
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引用次数: 0
A Regime-Switching Approach to Bank Capital and Liquidity Buffers 银行资本和流动性缓冲的制度转换方法
IF 10.4 2区 经济学 Q1 BUSINESS, FINANCE Pub Date : 2026-03-11 DOI: 10.1016/j.frl.2026.109799
Krishan Kumar Sharma
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引用次数: 0
Confucian culture, artificial intelligence, and executive financial misconduct: Internal control and information disclosure as governance channels 儒家文化、人工智能与高管财务失当:内部控制与信息披露作为治理渠道
IF 10.4 2区 经济学 Q1 BUSINESS, FINANCE Pub Date : 2026-03-11 DOI: 10.1016/j.frl.2026.109797
Linlin Hong, Mingjian Xie, Sisi Liu, Xiaohong Zhao
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引用次数: 0
Is AI reasoning useful in finance? 人工智能推理在金融领域有用吗?
IF 10.4 2区 经济学 Q1 BUSINESS, FINANCE Pub Date : 2026-03-09 DOI: 10.1016/j.frl.2026.109783
Antoine Didisheim, Martina Fraschini, Luciano Somoza, Hanqing Tian
Whether Large Language Models (LLMs) will result in a marginal productivity increase or a technological revolution largely depends on their ability to reason. LLMs with reasoning capabilities outperform vanilla ones on math and coding. However, it remains unclear whether such emergent abilities translate into improved economic insights. We evaluate state-of-the-art general-purpose reasoning-enhanced LLMs by OpenAI and DeepSeek on standard financial tasks: news sentiment and earnings direction prediction. Reasoning-enhanced models fail to demonstrate a significant advantage, while model size does. These findings indicate that improved reasoning does not necessarily translate into enhanced economic intuition, questioning their cost-effectiveness and practical utility in finance. Only finance-specific reasoning models yield a relatively modest increase in performance.
大型语言模型(llm)是否会导致边际生产率的提高或技术革命,在很大程度上取决于它们的推理能力。具有推理能力的法学硕士在数学和编码方面的表现优于普通的法学硕士。然而,目前尚不清楚这种新兴能力是否会转化为更高的经济洞察力。我们评估了OpenAI和DeepSeek在标准财务任务上最先进的通用推理增强llm:新闻情绪和盈利方向预测。推理增强的模型没有显示出显著的优势,而模型大小却有。这些发现表明,改进的推理并不一定转化为增强的经济直觉,质疑其在金融中的成本效益和实际效用。只有金融特定的推理模型在性能上产生相对适度的提高。
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引用次数: 0
Asymmetric information and valuation frictions in continuation funds 延续基金中的信息不对称与估值摩擦
IF 10.4 2区 经济学 Q1 BUSINESS, FINANCE Pub Date : 2026-03-09 DOI: 10.1016/j.frl.2026.109773
Jinhyeong Jo, Doojin Ryu
We develop a model of continuation fund transfers under asymmetric information with verification, participation, and rollover frictions. Conditional on observed deal initiation, Limited Partners update their priors before valuation, and the resulting initiation-conditioned beliefs shift the reliability cutoffs for transfer, rollover, and joint feasibility. Our model implies lemons-type selection: verification frictions and participation costs can exclude high-quality assets unless valuation reliability is sufficiently high, and rollover frictions can remain binding even after a favorable valuation signal.
我们建立了一个不对称信息下具有验证、参与和滚转摩擦的持续资金转移模型。以观察到的交易启动为条件,有限合伙人在估值前更新他们的先验,由此产生的启动条件信念改变了转让、展期和联合可行性的可靠性截止点。我们的模型暗示了柠檬类型的选择:除非估值可靠性足够高,否则验证摩擦和参与成本可能会排除高质量资产,并且即使在有利的估值信号之后,滚动摩擦仍然具有约束力。
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引用次数: 0
Localization strategies and brand recognition of multinational firms 跨国公司的本土化策略与品牌认知
IF 10.4 2区 经济学 Q1 BUSINESS, FINANCE Pub Date : 2026-03-07 DOI: 10.1016/j.frl.2026.109761
Huifang He
Localization strategies are critical for multinational corporations (MNCs) eager to enter new markets. To extend current knowledge in this area, this study examines how localization strategies influence MNC brand recognition. Using a large panel of data, we find that localization significantly strengthens brand identity, especially among firms in the fast-moving consumer goods industry. We also identify offline promotions and advertising expenditure as key mechanisms driving this effect. These results are robust across multiple econometric tests. This study contributes to the field by providing a focused empirical assessment of how localization strategies shape MNC brand recognition.
本土化战略对跨国公司进入新市场至关重要。为了扩展这一领域的现有知识,本研究考察了本地化策略如何影响跨国公司的品牌认知度。通过对大量数据的分析,我们发现本地化显著增强了品牌认同度,尤其是在快速消费品行业的公司中。我们还认为线下促销和广告支出是推动这一效应的关键机制。这些结果在多个计量经济学测试中都是稳健的。本研究通过提供本地化策略如何塑造跨国公司品牌认可度的集中实证评估,对该领域做出了贡献。
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引用次数: 0
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Finance Research Letters
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