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Ascertaining price formation in financial markets with machine learning: Evidence from Chinese stocks 用机器学习确定金融市场的价格形成:来自中国股票的证据
IF 5.3 2区 经济学 Q1 BUSINESS, FINANCE Pub Date : 2025-12-04 DOI: 10.1016/j.pacfin.2025.103029
Hailun Xu , Xianghui Yuan , Liwei Jin , Jun Long , Gen Xu
This paper examines stock price prediction in the Chinese market using deep learning techniques applied to tick-level high-frequency data. We demonstrate that the high-frequency features constructed in this study capture significantly more predictive information than raw price and volume inputs, leading to measurable improvements in model performance. Beyond accuracy, we provide empirical evidence of three structural characteristics embedded in order flow data: nonlinearity, intertemporal stability, and path dependence properties that help explain the dynamics of the price formation process. Furthermore, we show that a universal model trained on data from multiple stocks consistently outperforms stock-specific models in out-of-sample prediction tasks. These findings offer both practical insights for developing robust trading strategies and theoretical implications for understanding the microstructural mechanisms of financial markets.
本文将深度学习技术应用于滴答级高频数据,研究中国市场的股价预测。我们证明,在本研究中构建的高频特征比原始价格和数量输入捕获了更多的预测信息,从而导致模型性能的可测量改进。除了准确性之外,我们还提供了订单流数据中嵌入的三个结构特征的经验证据:非线性、跨期稳定性和路径依赖特性,这些特性有助于解释价格形成过程的动态。此外,我们表明,在样本外预测任务中,来自多个股票的数据训练的通用模型始终优于特定股票的模型。这些发现既为制定稳健的交易策略提供了实践见解,也为理解金融市场的微观结构机制提供了理论启示。
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引用次数: 0
Reducing financial distress through digital institutional reform: Evidence from China's business environment pilot 通过数字化制度改革减少财务困境:来自中国营商环境试点的证据
IF 5.3 2区 经济学 Q1 BUSINESS, FINANCE Pub Date : 2025-12-03 DOI: 10.1016/j.pacfin.2025.103020
Xinwei Liu , Jinge Fu , Chen Wang
This paper examines the effect of digitally enabled business environment reform on corporate financial distress in China. Exploiting a quasi-natural experiment arising from the 2021 national pilot program for business environment innovation, we implement a difference-in-differences (DiD) strategy using panel data on A-share non-financial listed firms from 2018 to 2024. Corporate financial health is assessed through the Altman Z-score and firm leverage. Empirical results demonstrate that the reform significantly alleviates financial distress, as evidenced by increased Z-scores and decreased leverage ratios. These findings remain robust across a variety of tests, including placebo regressions, alternative fixed effects, subsample tests, and clustering schemes. Further analysis reveals that the improvement in firms' financial health is partially mediated by enhanced information transparency, with greater media exposure facilitating more efficient financing conditions. The effect of the reform is also found to be more pronounced for firms facing greater financial constraints, such as smaller and younger enterprises, suggesting that institutional improvements help ease external financing barriers. Meanwhile, increased market competition induced by the reform has heterogeneous consequences, with state-owned enterprises experiencing a weaker or even adverse impact. Additionally, firms with stronger innovation capacity—proxied by higher R&D intensity—tend to benefit more from the reform, indicating that digital and institutional upgrading jointly enhance firm resilience. This study contributes to the literature on financial distress, institutional reform, and digital governance by providing novel evidence on how reforms that combine regulatory streamlining with digital empowerment can strengthen firm-level stability. The findings offer important policy implications for emerging markets seeking to optimize resource allocation and reduce financial vulnerability through business environment modernization.
本文考察了数字化营商环境改革对中国企业财务困境的影响。利用2021年国家营商环境创新试点项目产生的准自然实验,我们利用2018年至2024年a股非金融类上市公司的面板数据实施了差异中的差异(DiD)策略。通过Altman Z-score和公司杠杆来评估公司财务健康状况。实证结果表明,改革显著缓解了财务困境,z得分上升,杠杆率下降。这些发现在各种测试中仍然是稳健的,包括安慰剂回归、替代固定效应、子样本测试和聚类方案。进一步的分析表明,企业财务健康状况的改善部分是由于信息透明度的提高,更多的媒体曝光有助于提高融资条件的效率。改革的效果对于面临更大资金限制的企业更为明显,例如较小和较年轻的企业,这表明制度改进有助于缓解外部融资障碍。同时,改革引发的市场竞争加剧的后果是异质性的,国有企业受到的影响较弱甚至是不利的。此外,创新能力越强的企业(以研发强度为代表)往往从改革中获益更多,这表明数字化和制度升级共同增强了企业的弹性。本研究为金融困境、制度改革和数字治理的相关文献提供了新的证据,证明了将监管精简与数字赋权相结合的改革如何加强公司层面的稳定性。研究结果为新兴市场寻求通过商业环境现代化优化资源配置和降低金融脆弱性提供了重要的政策启示。
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引用次数: 0
Forward-looking signals and the predictability of size effect in the Taiwan stock market 台湾股市的前瞻信号与规模效应的可预测性
IF 5.3 2区 经济学 Q1 BUSINESS, FINANCE Pub Date : 2025-12-02 DOI: 10.1016/j.pacfin.2025.103021
Kuan-Cheng Ko , Shu-Feng Wang , Wen-Chi Lo , Pei-Chun Tsai (Anny)
Guo (2023) finds that the size effect is predictable by the forward-looking signals, providing a plausible explanation for the disappearance of the size effect in the U.S. since its discovery. We obtain strong evidence that forward-looking signals are effective in predicting the size premium in Taiwan, where evidence of the size effect is inconclusive. In contrast to the U.S. evidence, this study shows that information barriers have limited impact on the predictable size effect in Taiwan. Moreover, stock illiquidity and limits-to-arbitrage based on limit-hit frequency provide better explanatory power for predicting the size effect in Taiwan.
Guo(2023)发现,规模效应可以通过前瞻性信号来预测,这为美国发现规模效应后规模效应消失提供了合理的解释。我们获得了强有力的证据,表明前瞻性信号在预测规模溢价方面是有效的,在台湾,规模效应的证据是不确定的。与美国的研究结果相比,本研究显示资讯壁垒对台湾的可预测规模效应影响有限。此外,股票非流动性和基于跌停频率的限制套利对预测台湾地区的规模效应有较好的解释力。
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引用次数: 0
A study of the impact of real option investment on firms' long-term performance under uncertainty: Empirical evidence from China 不确定条件下实物期权投资对企业长期绩效的影响研究:来自中国的实证证据
IF 5.3 2区 经济学 Q1 BUSINESS, FINANCE Pub Date : 2025-12-02 DOI: 10.1016/j.pacfin.2025.103017
Jiazhu Li , Haojun Wang
In today's volatile global business environment, uncertainty has become the norm. Firms must therefore enhance strategic flexibility to adapt to dynamic changes. Real options theory provides a framework for flexible decision-making under uncertainty, enabling firms to capture future growth opportunities. Yet, prior studies offer mixed evidence on how real options investment affects firm performance, especially over the long term. This study develops a theoretical framework grounded in organizational learning to examine this relationship and explores how different forms of uncertainty shape the value creation of real options investments. Using data on Chinese listed firms from 2007 to 2023, we find that real options investment improves long-term performance, and its effect is strengthened under higher uncertainty. The study integrates real options and organizational learning theories, offering new insights for strategic investment decisions in complex and uncertain environments.
在当今动荡的全球商业环境中,不确定性已成为常态。因此,企业必须提高战略灵活性,以适应动态变化。实物期权理论为不确定性下的灵活决策提供了框架,使企业能够抓住未来的增长机会。然而,先前的研究提供了不同的证据,证明实物期权投资如何影响公司业绩,尤其是长期业绩。本研究发展了一个基于组织学习的理论框架来检验这种关系,并探讨了不同形式的不确定性如何塑造实物期权投资的价值创造。利用2007 - 2023年中国上市公司的数据,我们发现实物期权投资可以提高长期绩效,并且在不确定性较高的情况下,实物期权投资对长期绩效的影响更强。本研究将实物期权理论与组织学习理论相结合,为复杂不确定环境下的战略投资决策提供了新的见解。
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引用次数: 0
Does RMB drive the dynamic of RCEP regional currency FXs? 人民币是否推动了RCEP区域货币外汇交换的动态?
IF 5.3 2区 经济学 Q1 BUSINESS, FINANCE Pub Date : 2025-12-02 DOI: 10.1016/j.pacfin.2025.103019
Feng Guo , Fujun Lai
This paper examines the role of CNY, onshore RMB FX rate, in RCEP currency bloc. Using weekly FX data (2015–2025) across eleven currencies, we employ a dual-method approach: Markov-switching models to study regime-dependent forex co-movements, and a TVP-VAR-SV model for system-wide dynamic connectedness. Three main findings emerge. First, the anchor effects of CNY exhibit significant heterogeneity across RCEP currencies, with effects strong for trade-integrated economies but weak where policy autonomy dominates. Second, the effects also exhibit regime-dependent asymmetry: heightened CNY volatility prolongs turbulent states for currencies of export-oriented economies, whereas CNY stability anchors calm states for financially integrated partners. Third, while CNY functions as a net transmitter of systemic risks within RCEP forex markets, its spillovers evolve non-monotonically with global shocks and regional integration phases. Overall, our findings characterize RMB’s identifiable yet circumscribed emergence as a regional forex anchor; RMB internationalization within RCEP remains substantive but structurally bounded.
本文探讨在岸人民币汇率在RCEP货币集团中的作用。使用11种货币的每周外汇数据(2015-2025),我们采用双方法方法:马尔可夫切换模型研究依赖于制度的外汇协同运动,以及tpv - var - sv模型研究系统范围的动态连通性。主要有三个发现。首先,人民币的锚定效应在RCEP各国货币中表现出显著的异质性,对贸易一体化经济体的锚定效应较强,但在政策自主主导的经济体中锚定效应较弱。其次,这种影响也表现出依赖于制度的不对称:人民币波动加剧延长了出口导向型经济体货币的动荡状态,而人民币稳定则为金融一体化伙伴的平静状态奠定了基础。第三,虽然人民币在RCEP外汇市场中是系统性风险的净传递者,但其溢出效应随着全球冲击和区域一体化阶段而非单调地演变。总体而言,我们的研究结果表明,人民币作为区域外汇锚的崛起是可识别的,但受到限制;RCEP框架下的人民币国际化仍具有实质性,但存在结构性限制。
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引用次数: 0
Does digital finance improve household financial health? Evidence from China 数字金融能改善家庭财务健康吗?来自中国的证据
IF 5.3 2区 经济学 Q1 BUSINESS, FINANCE Pub Date : 2025-12-01 DOI: 10.1016/j.pacfin.2025.103016
Minghao Zhu , Haimeng Shi , Rong Kong , Zarqa Khalid , Maaz Hassan , Zhe Chen
Improving household financial health has become a central goal of inclusive finance initiatives as digital finance continues to reshape financial access globally. This study investigates how digital finance influences household financial health in China and whether its benefits extend to families facing different types of risk. Using nationally representative household panel survey data from three survey waves for the period of 2015 to 2019, we empirically identify both the direct effects of digital finance and the mechanisms through which these effects operate. The results show that the greater use of digital finance is associate with improvements in household financial health. Further analysis demonstrates that these gains are driven by expanding access to financial information, diversifying financial products, and strengthening social interaction. Moreover, the presence of robust digital infrastructure amplifies these positive effects. Importantly, digital finance helps households maintain stronger financial health when confronted with health, unemployment, and income risks. Overall, the findings highlight digital finance as an effective pathway to financial resilience and provide practical insights for policymakers seeking strengthen digital financial inclusion in developing economies.
随着数字金融继续重塑全球金融渠道,改善家庭财务健康已成为普惠金融倡议的核心目标。本研究探讨了数字金融如何影响中国家庭的财务健康,以及它的好处是否延伸到面临不同类型风险的家庭。利用2015年至2019年三次调查的全国代表性家庭面板调查数据,我们实证地确定了数字金融的直接影响以及这些影响的运行机制。结果表明,数字金融的更多使用与家庭财务健康的改善有关。进一步分析表明,这些收益是由扩大金融信息获取渠道、金融产品多样化和加强社会互动推动的。此外,强大的数字基础设施的存在放大了这些积极影响。重要的是,数字金融帮助家庭在面临健康、失业和收入风险时保持更强的财务健康。总体而言,研究结果强调了数字金融是提高金融韧性的有效途径,并为寻求加强发展中经济体数字普惠金融的政策制定者提供了实际见解。
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引用次数: 0
Information and stock returns: Evidence from high-frequency data in China's ETF options market 信息与股票收益:来自中国ETF期权市场高频数据的证据
IF 5.3 2区 经济学 Q1 BUSINESS, FINANCE Pub Date : 2025-11-29 DOI: 10.1016/j.pacfin.2025.103015
Jingjing Meng , Wenjing Song , Mei Yu , Zixuan Qin
China's options market has experienced rapid development. This study moves beyond the predominant focus on implied volatility to examine implied higher moments—specifically, skewness and kurtosis. These moments are crucial for characterizing the full distribution of expected returns: implied skewness captures the market's expectation of asymmetric tail risk, while implied kurtosis gauges the anticipated probability of extreme returns, reflecting market fears of disruptive volatility events. Unlike existing literature, we examine CSI 300 and CSI 500 ETF options alongside the SSE 50ETF. Utilizing high-frequency data from September 2022 to December 2024, we first confirm the informational superiority of model-free implied volatility (MFIV) in predicting realized volatility. We then systematically investigate the asymmetric relationship between returns and these implied higher moments using a nonparametric quantile regression model. Our findings indicate a pronounced asymmetry: in high-volatility regimes, negative returns disproportionately increase implied volatility. Conversely, when skewness and kurtosis are elevated, positive returns exert a stronger influence, suggesting that in extreme market states, positive shocks amplify concerns about potential bubbles or destabilizing rallies. This asymmetry persists under external shocks. Our research provides a basis for formulating condition-specific hedging strategies and offers new empirical evidence on pricing behaviors in China's multi-tiered options market.
中国期权市场经历了快速发展。本研究超越了对隐含波动率的主要关注,考察了隐含的更高时刻,特别是偏度和峰度。这些时刻对于描述预期收益的完整分布特征至关重要:隐含偏度反映了市场对不对称尾部风险的预期,而隐含峰度衡量了极端回报的预期概率,反映了市场对破坏性波动事件的担忧。与现有文献不同,我们考察了沪深300和沪深500 ETF期权以及上证50ETF。利用2022年9月至2024年12月的高频数据,我们首先证实了无模型隐含波动率(MFIV)在预测实现波动率方面的信息优势。然后,我们使用非参数分位数回归模型系统地研究了收益与这些隐含的高矩之间的不对称关系。我们的研究结果表明了一种明显的不对称性:在高波动性制度下,负回报不成比例地增加了隐含波动性。相反,当偏度和峰度升高时,正回报会产生更大的影响,这表明在极端的市场状态下,正冲击会放大对潜在泡沫或不稳定反弹的担忧。这种不对称在外部冲击下依然存在。本文的研究为中国多层次期权市场的定价行为提供了新的实证证据,并为制定有条件的对冲策略提供了依据。
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引用次数: 0
Industrial robot adoption and geographical customer distribution strategy: Evidence from China 工业机器人采用与地域客户分配策略:来自中国的证据
IF 5.3 2区 经济学 Q1 BUSINESS, FINANCE Pub Date : 2025-11-29 DOI: 10.1016/j.pacfin.2025.103014
Rui Xu , Junqi Xie , Shumei Pang
This study examines whether and how industrial robot adoption affects the corporate strategy of the geographical distribution of customers. Using a sample of 6027 firm-year observations from the Chinese industrial enterprises for the period 2009–2022, we find that firm's robot adoption can significantly increase the geographical distance between enterprises and their customers to broaden the geographical distribution of the supply chain. Further mechanism tests show that the adoption of robots in production can improve a firm's product intrinsic competitiveness and alleviate a firm's external information constraint, thereby increasing the geographical distance between enterprises and their customers. In addition, we find that the above-mentioned effect of robot adoption on a firm's geographical distance between enterprises and their customers is more pronounced for firms headquartered in regions with better transportation infrastructure, firms that have high industry competition intensity, firms that have greater customer dependence. Tests of economic consequences reveal that, in scenarios of more robots, firms' strategic geographic adjustments in customer selection can favourably impact their supply chain management efficiency and operational risk. Altogether, this study provides micro evidence on the relationship between robot adoption and geographical distribution of the supply chain, providing significant implications for global supply chains.
本研究检视工业机器人的采用是否及如何影响客户地理分布的企业策略。利用2009年至2022年6027家中国工业企业的年度观察样本,我们发现企业采用机器人可以显著增加企业与客户之间的地理距离,从而拓宽供应链的地理分布。进一步的机制检验表明,在生产中采用机器人可以提高企业的产品内在竞争力,缓解企业的外部信息约束,从而增加企业与客户之间的地理距离。此外,我们还发现,对于总部位于交通基础设施较好的地区的企业、行业竞争强度较高的企业、客户依赖程度较高的企业,采用机器人对企业与客户之间地理距离的影响更为明显。经济后果的测试表明,在更多机器人的情况下,企业在客户选择方面的战略性地理调整可以对其供应链管理效率和运营风险产生有利影响。总之,本研究提供了机器人采用与供应链地理分布之间关系的微观证据,为全球供应链提供了重要启示。
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引用次数: 0
Family firms performance under competitive pressure: Evidence from market access reforms in China 竞争压力下的家族企业绩效:来自中国市场准入改革的证据
IF 5.3 2区 经济学 Q1 BUSINESS, FINANCE Pub Date : 2025-11-28 DOI: 10.1016/j.pacfin.2025.103010
Yuanyuan Liu , Jingwen Zhang , Qingmiao Bi , Joseph Onochie
This study investigates how heightened market competition, induced by the staggered implementation of China's Market Access Negative List Reform, influences the performance and strategic behavior of family firms. Using a panel dataset of Chinese listed companies from 2012 to 2018, we find that: (1) family firms experienced a significant profitability decline of approximately 1.3 percentage points relative to non-family firms after the policy shock; (2) family firms with longer generational succession and more family members in management were associated with greater vulnerability when facing increased competition; and (3) these effects seem to be persistent, and family firms show indications of strategic responses that emphasize retrenchment and inward governance consolidation, while their relative disadvantage may further constrain their ability of family firms to pursue green and sustainable development goals. Our results indicate that external market-oriented reforms may coincide with heightened salience of internal governance vulnerabilities, potentially posing challenges to the resilience of family-owned enterprises in a rapidly evolving institutional environment.
本文研究了中国市场准入负面清单改革的交错实施所导致的市场竞争加剧对家族企业绩效和战略行为的影响。利用2012 - 2018年中国上市公司面板数据,我们发现:(1)政策冲击后,家族企业相对于非家族企业的盈利能力显著下降约1.3个百分点;(2)家族企业世代相传时间越长、家族成员越多,面临竞争时脆弱性越大;(3)这些效应似乎是持续的,家族企业表现出强调紧缩和内部治理巩固的战略响应迹象,而家族企业的相对劣势可能进一步制约家族企业追求绿色可持续发展目标的能力。我们的研究结果表明,外部市场化改革可能与内部治理脆弱性的凸显相吻合,这可能对家族企业在快速变化的制度环境中的弹性构成挑战。
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引用次数: 0
Fintech engagement by non-financial firms and the speed of capital structure adjustment 非金融企业参与金融科技与资本结构调整速度
IF 5.3 2区 经济学 Q1 BUSINESS, FINANCE Pub Date : 2025-11-28 DOI: 10.1016/j.pacfin.2025.103011
Bin Li , Jiawei Sun , Lei Xu , Fei Guo
Using a sample of Chinese A-share non-financial firms from 2013 to 2022, this paper empirically examines the impact of Fintech engagement on the speed of capital structure adjustment. The results show that firms engaging in Fintech activities significantly accelerate their capital structure adjustments, particularly when leverage is below the target level. Further heterogeneity analyses reveal that this positive effect is more pronounced in regions with stricter financial regulation, in firms with stronger financial affiliations, and among high-tech firms. In terms of adjustment mode, Fintech primarily facilitates capital structure adjustment by enhancing firms' debt financing capacity. Mechanism tests indicate that Fintech alleviates financing frictions and reduces agency costs, thereby expediting dynamic capital structure adjustment. This study confirms the effectiveness of Fintech activities in non-financial firms and contributes to the literature by revealing their economic consequences.
本文以2013 - 2022年中国a股非金融类企业为样本,实证检验了金融科技参与对资本结构调整速度的影响。结果表明,从事金融科技活动的公司显著加快了其资本结构调整,特别是当杠杆低于目标水平时。进一步的异质性分析表明,在金融监管更严格的地区、金融关联更强的公司和高科技公司中,这种积极效应更为明显。在调整方式上,金融科技主要通过提高企业债务融资能力来促进资本结构调整。机制检验表明,金融科技缓解了融资摩擦,降低了代理成本,从而加快了资本结构的动态调整。本研究证实了金融科技活动在非金融企业中的有效性,并通过揭示其经济后果为文献做出了贡献。
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引用次数: 0
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Pacific-Basin Finance Journal
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