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Drivers of firm-level tail dependence: A machine learning approach 企业层面尾部依赖的驱动因素:一种机器学习方法
IF 2.3 3区 经济学 Q2 ECONOMICS Pub Date : 2025-11-15 DOI: 10.1016/j.jedc.2025.105207
Thomas Conlon , John Cotter , Ioannis Ropotos
The paper studies the determinants of firm-level tail dependence of companies with respect to foreign markets using machine learning. We measure dependence for a comprehensive international set of firms using copulas and we find that left tail dependence is consistently stronger than right tail dependence with their gap widening in recessionary periods. We then apply random forest regressions to identify and characterize the factors that account for the total panel variation of tail risk. The World Uncertainty Index, the R2 integration measure and coskewness with respect to foreign markets are the most important determinants. For US firms individual ownership variables such as the number of total or foreign investors dominate the remaining firm-level characteristics in explaining tail dependence. Our results contribute to the understanding of crash risk in the modern global financial landscape with implications for asset managers.
本文利用机器学习研究了企业对国外市场的尾部依赖的决定因素。我们使用copulas来衡量一组综合的国际企业的依赖,我们发现在经济衰退时期,随着它们的差距扩大,左尾依赖始终强于右尾依赖。然后,我们应用随机森林回归来识别和表征导致尾部风险总面板变化的因素。世界不确定性指数、R2整合测度和对国外市场的余偏性是最重要的决定因素。对于美国公司来说,个人所有权变量,如总投资者或外国投资者的数量,在解释尾部依赖时主导了公司层面的剩余特征。我们的研究结果有助于理解现代全球金融格局中的崩溃风险,并对资产管理公司产生影响。
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引用次数: 0
Inside money, fraud and self-fulfilling liquidity dry-up 在货币内部,欺诈和自我实现的流动性枯竭
IF 2.3 3区 经济学 Q2 ECONOMICS Pub Date : 2025-11-13 DOI: 10.1016/j.jedc.2025.105216
Jaevin Park
I study the efficiency of issuing inside money under the risk of fraud in a competitive equilibrium. In the model, bankers can issue money with their franchise values and/or by holding real assets, but they can also fake the quality of the asset at a proportional cost. When the supply of assets is scarce and the counterfeiting cost is intermediate, multiple equilibria can arise with a self-fulfilling liquidity dry-up, where the haircut in the collateral transaction increases and aggregate liquidity shrinks simultaneously. This equilibrium allocation is suboptimal because the individual bankers cannot internalize the effect of issuing money on the prices and the pledgeability of the assets in general equilibrium. We find that imposing an entry cost is more effective in correcting pecuniary externality because the counterfeiting incentive can be discouraged by a positive franchise value. Maximum haircut requirements have an advantage of eliminating a self-fulfilling liquidity dry-up.
本文研究了竞争均衡下存在欺诈风险的内部货币发行效率问题。在该模型中,银行家可以用特许经营价值和/或持有实物资产来发行货币,但他们也可以按比例成本伪造资产的质量。当资产供应稀缺,伪造成本处于中间水平时,多重均衡可能会随着自我实现的流动性枯竭而出现,即抵押品交易的损失增加,总流动性同时减少。这种均衡配置是次优的,因为在一般均衡中,单个银行家无法内化发行货币对资产价格和可质押性的影响。我们发现,施加进入成本在纠正货币外部性方面更为有效,因为正的特许经营价值可以阻止假冒动机。最高减持要求的好处是消除了自我实现的流动性枯竭。
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引用次数: 0
Do factor models capture both sentiment and limited attention? 因子模型能同时捕捉情绪和有限的注意力吗?
IF 2.3 3区 经济学 Q2 ECONOMICS Pub Date : 2025-11-04 DOI: 10.1016/j.jedc.2025.105203
Xinrui Duan , Li Guo , Frank Weikai Li , Jun Tu
We demonstrate that valuation uncertainty and information arrival are critical stock characteristics determining whether individual factors in leading factor models are influenced by sentiment or limited attention. Therefore, the ability of a factor model to explain cross-sectional stock returns depends on including two distinct types of factors: those that capture sentiment and those that tackle limited attention. Yet, many leading factor models include factors for sentiment but fall short in incorporating factors for limited attention. Our findings are important, guiding future research towards developing new factor models that more effectively capture both sentiment and limited attention compared to existing models. This includes uncovering powerful factors capable of simultaneously capturing sentiment and limited attention.
我们证明了估值不确定性和信息到达是决定主导因素模型中的个别因素是否受情绪或有限注意力影响的关键股票特征。因此,因子模型解释横截面股票收益的能力取决于包括两种不同类型的因子:那些捕捉情绪的因子和那些处理有限注意力的因子。然而,许多主导因素模型包括情绪因素,但没有纳入有限关注因素。我们的发现很重要,可以指导未来研究开发新的因素模型,与现有模型相比,这些模型可以更有效地捕捉情绪和有限注意力。这包括揭示能够同时捕捉情感和有限注意力的强大因素。
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引用次数: 0
Unemployment and labor productivity comovement: the role of firm exit 失业与劳动生产率变动:企业退出的作用
IF 2.3 3区 经济学 Q2 ECONOMICS Pub Date : 2025-11-03 DOI: 10.1016/j.jedc.2025.105205
Miroslav Gabrovski , Mario Rafael Silva
The Diamond-Mortensen-Pissarides model has been the primary workhorse for analyzing the dynamics of unemployment, vacancies, and market tightness over the business cycle. However, it predicts a near-perfect comovement between these variables and labor productivity, whereas the empirical correlation is only mild. We resolve this discrepancy by extending the model to incorporate sunk entry costs and finitely elastic vacancy creation, and by carefully distinguishing between business opportunity destruction and match separation as distinct sources of job loss. These features render vacancies a partially predetermined, positively valued stock variable. If the destruction rate is low, then most vacancies are inherited from the past and reflect historical rather than current productivity, breaking the tight unemployment-productivity link, while preserving strong correlations among labor market variables. We show that, when calibrated to information on job turnover and recall rates, the model reproduces the empirical contemporaneous and dynamic correlations between labor market variables and productivity while preserving the strong correlation between unemployment, vacancies, and the market tightness observed in the data.
Diamond-Mortensen-Pissarides模型一直是分析商业周期中失业、职位空缺和市场紧缩动态的主要工具。然而,它预测了这些变量和劳动生产率之间的近乎完美的一致,而经验相关性只是温和的。我们通过扩展模型以纳入沉没进入成本和有限弹性空缺创造,并通过仔细区分商业机会破坏和匹配分离作为不同的失业来源来解决这一差异。这些特征使职位空缺成为部分预定的、正价值的股票变量。如果破坏率较低,那么大多数空缺都是从过去继承下来的,反映的是历史而不是当前的生产率,从而打破了失业率与生产率的紧密联系,同时保持了劳动力市场变量之间的强相关性。我们表明,当校准到工作流动率和召回率的信息时,该模型再现了劳动力市场变量与生产率之间的经验同步和动态相关性,同时保留了数据中观察到的失业、空缺和市场紧缩之间的强相关性。
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引用次数: 0
Merton (1976) implied jump 默顿(1976)隐含跳跃
IF 2.3 3区 经济学 Q2 ECONOMICS Pub Date : 2025-11-01 DOI: 10.1016/j.jedc.2025.105199
Junhong Yu , Xinfeng Ruan , Zheqi Fan
Motivated by the widespread use of implied volatility in the Black-Scholes-Merton (BSM) model, we shift the concept to implied jumps using the Merton jump-diffusion (MJD) model, aiming to extract jump-related information in an analogous manner. Such a novel attempt introduces challenges in the estimation process, and thus, we propose a hybrid estimation procedure that incorporates a pre-search step to identify reliable initial values for the model parameters, thereby enhancing estimation accuracy. Using the daily cross-section of option prices, we construct two new indices: the Implied Jump Expectation Index (JIX) and the Jump Volatility Index (JVIX) to represent implied jump. Our empirical results indicate the implied jump combined with the implied diffusive risk under the MJD model significantly provides incremental predictive power for shortly future realized volatility compared with VIX9D and the historical components of HAR models. Also, we document that JIX has significantly predictive power for the next-day market return even under the market extreme events or high economic uncertainty.
由于Black-Scholes-Merton (BSM)模型中隐含波动率的广泛使用,我们使用默顿跳跃-扩散(MJD)模型将隐含波动率的概念转换为隐含跳跃,旨在以类似的方式提取跳跃相关信息。这种新颖的尝试给估计过程带来了挑战,因此,我们提出了一种混合估计过程,该过程包含预搜索步骤,以识别模型参数的可靠初始值,从而提高估计精度。利用期权价格的日横截面,我们构建了两个新的指标:隐含跳跃期望指数(JIX)和跳跃波动指数(JVIX)来表示隐含跳跃。我们的实证结果表明,与VIX9D和HAR模型的历史成分相比,MJD模型下的隐含跳跃和隐含扩散风险对近期实现波动率的预测能力显著增加。此外,我们还证明,即使在市场极端事件或经济高度不确定性的情况下,JIX对第二天的市场回报也具有显著的预测能力。
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引用次数: 0
The effects of monetary policy on macroeconomic downside risk: state-dependence matters 货币政策对宏观经济下行风险的影响:国家依赖性问题
IF 2.3 3区 经济学 Q2 ECONOMICS Pub Date : 2025-11-01 DOI: 10.1016/j.jedc.2025.105201
Giovanni Barci
I study the dynamic causal relationship between monetary policy and macroeconomic downside risk, focusing on structural asymmetries in recessions and expansions. I find that a monetary easing during economic slowdowns reduces downside risk by about twice as much as a monetary tightening during booms increases it. If this asymmetry is not properly accounted for, it could lead to an overly cautious behaviour by policymakers when tightening during booms; the conclusion also holds when considering monetary contractions occurring during highly-leveraged expansions. Results align with theoretical models that include a financial accelerator mechanism. I obtain evidence by building downside risk indicators as linear combinations of relevant quantiles of the conditional forecast density of output growth. Generalised state-dependent impulse response functions to structural shocks of quantiles linear combinations are recovered using a novel econometric framework that mixes structural VAR and quantile regressions, both adapted to accommodate smooth-transition parameters.
我研究货币政策与宏观经济下行风险之间的动态因果关系,重点研究衰退和扩张中的结构性不对称。我发现,在经济放缓期间放松货币政策减少的下行风险,大约是在经济繁荣期间收紧货币政策增加下行风险的两倍。如果这种不对称没有得到适当的解释,它可能导致政策制定者在繁荣时期收紧政策时过于谨慎;在考虑高杠杆扩张期间出现的货币紧缩时,这一结论也成立。结果与包含金融加速器机制的理论模型一致。我通过将下行风险指标构建为产出增长条件预测密度相关分位数的线性组合来获得证据。使用混合结构VAR和分位数回归的新型计量经济学框架恢复分位数线性组合结构冲击的广义状态相关脉冲响应函数,两者都适应于平滑过渡参数。
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引用次数: 0
A simple nonparametric approach to pricing credit default swaps 信用违约互换定价的简单非参数方法
IF 2.3 3区 经济学 Q2 ECONOMICS Pub Date : 2025-11-01 DOI: 10.1016/j.jedc.2025.105198
Santiago Forte
This study introduces a nonparametric approach to pricing credit default swaps (CDSs) and other single-name credit-risky securities. This method is notable for its simplicity, estimation speed, and flexibility. That is, it relies exclusively on closed-form solutions, which provide instantaneous results, and allows the user to reproduce any term structure of CDS spreads. I empirically assess its pricing performance by comparing it with an otherwise equivalent semiparametric (piecewise constant default probability) model that requires a series of root-search algorithms and represents the current market convention for marking-to-market CDS contracts. This analysis demonstrates that the new method also implies a reduction in mean percentage absolute pricing errors.
本文介绍了一种非参数方法来为信用违约掉期(cds)和其他单名信用风险证券定价。该方法以其简单性、估计速度和灵活性而著称。也就是说,它完全依赖于封闭形式的解决方案,提供即时结果,并允许用户复制CDS点差的任何期限结构。我通过将其与另一个等效的半参数(分段常数违约概率)模型进行比较,实证地评估了它的定价表现,该模型需要一系列的根搜索算法,并代表了当前市场对市场定价的CDS合约的惯例。这一分析表明,新方法也意味着减少平均百分比绝对定价误差。
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引用次数: 0
How does inflation affect different age groups? 通货膨胀是如何影响不同年龄组的?
IF 2.3 3区 经济学 Q2 ECONOMICS Pub Date : 2025-11-01 DOI: 10.1016/j.jedc.2025.105200
Volker Hahn, Annika Schürle
We develop an overlapping-generations model with sticky wages and prices to study the socially optimal inflation rate in the long term. While sticky prices and firms’ productivity growth would yield a positive optimal inflation rate, we show that sticky wages, in combination with empirically plausible changes in productivity over workers’ lives, make moderate deflation optimal. We also study intergenerational conflicts and show that younger voters gain from lower inflation, whereas older voters prefer higher inflation.
我们建立了一个具有粘性工资和价格的代际重叠模型来研究长期社会最优通货膨胀率。虽然粘性价格和企业生产率增长将产生正的最优通胀率,但我们表明,粘性工资与经验上合理的生产率随工人生活的变化相结合,使适度通缩成为最优。我们还研究了代际冲突,并表明年轻选民从较低的通货膨胀中获益,而年长选民则更喜欢较高的通货膨胀。
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引用次数: 0
Demand-side real rigidities revisited 需求侧实际刚性再度显现
IF 2.3 3区 经济学 Q2 ECONOMICS Pub Date : 2025-10-30 DOI: 10.1016/j.jedc.2025.105204
Toyoichiro Shirota
This study explores the mechanism behind the persistent effects of monetary policy shocks, resolving a discrepancy between an assumption in typical macroeconomic models and micro evidence. While standard macro models often rely on a large demand kink (a micro real rigidity) to generate persistent real effects of monetary policy shocks, micro-empirical studies find this kink to be modest. I show that this discrepancy can be resolved by focusing on a previously underexplored interaction: the effects of this modest, empirically consistent micro real rigidity are amplified when combined with the macro real rigidities inherent in production linkages. A stylized production-chain model first clarifies the mechanism, showing how upstream micro rigidities are transformed into downstream macro rigidities. A large-scale production-network model, disciplined by empirical data, then demonstrates that this combined mechanism is quantitatively important for macroeconomic persistence.
本研究探讨了货币政策冲击持续效应背后的机制,解决了典型宏观经济模型假设与微观证据之间的差异。虽然标准的宏观模型通常依赖于巨大的需求扭结(微观实际刚性)来产生货币政策冲击的持续实际影响,但微观实证研究发现这种扭结是适度的。我表明,这种差异可以通过关注先前未被充分探索的相互作用来解决:当与生产联系中固有的宏观实际刚性相结合时,这种适度的、经验一致的微观实际刚性的影响会被放大。一个程式化的生产链模型首先阐明了这一机制,展示了上游的微观刚度如何转化为下游的宏观刚度。一个由经验数据约束的大规模生产网络模型表明,这种组合机制在数量上对宏观经济的持久性很重要。
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引用次数: 0
Agree to disagree: Measuring hidden dissent in FOMC meetings 求同存异:衡量FOMC会议中隐藏的不同意见
IF 2.3 3区 经济学 Q2 ECONOMICS Pub Date : 2025-10-09 DOI: 10.1016/j.jedc.2025.105197
Kwok Ping Tsang , Zichao Yang
Using FOMC transcripts and customized deep learning models, we quantify “hidden dissent”, or disagreement in the FOMC that is unobserved in formal votes. We find hidden dissent to be prevalent and systematically driven by macroeconomic conditions like inflation and unemployment. It strongly correlates with divergent member projections (SEP) and measures of policy sub-optimality, reflecting heterogeneity among members in policy preferences. Furthermore, we show that the financial markets respond to the hidden dissent implied in FOMC minutes.
使用FOMC记录和定制的深度学习模型,我们量化了“隐藏的异议”,即FOMC中未在正式投票中观察到的分歧。我们发现,通胀和失业等宏观经济状况普遍并系统性地推动了隐性异议。它与成员分歧预测(SEP)和政策次优性指标密切相关,反映了成员在政策偏好上的异质性。此外,我们表明,金融市场对FOMC会议纪要中隐含的潜在异议做出了反应。
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引用次数: 0
期刊
Journal of Economic Dynamics & Control
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