Pub Date : 2026-01-29DOI: 10.1016/j.econmod.2026.107516
Alfredo Garcia-Hiernaux , Maria T. Gonzalez-Perez , David E. Guerrero
We propose a semi-parametric volatility model to estimate inflation volatility within a conceptual framework that incorporates rational inattention and price stickiness. The model is applied to inflation data for Germany, France, Spain, the Eurozone, the United States, the United Kingdom, Japan, and Canada over the period 2002–2024, and the United States during the Great Inflation and Moderation (1965–1990). Our estimator outperforms standard parametric and non-parametric alternatives in forecasting inflation volatility and exhibits a strong empirical relationship with survey-based measures of inflation uncertainty. We also introduce the Directional Volatility Ratio (DVR), a novel measure that captures time-varying asymmetries in the relationship between inflation levels and volatility. This measure is effective for tracking shifting inflation trends, identifying turning points, and characterizing inflation risk across different regimes.
{"title":"Inflation volatility under rational inattention: A semi-parametric model and the directional volatility ratio","authors":"Alfredo Garcia-Hiernaux , Maria T. Gonzalez-Perez , David E. Guerrero","doi":"10.1016/j.econmod.2026.107516","DOIUrl":"10.1016/j.econmod.2026.107516","url":null,"abstract":"<div><div>We propose a semi-parametric volatility model to estimate inflation volatility within a conceptual framework that incorporates rational inattention and price stickiness. The model is applied to inflation data for Germany, France, Spain, the Eurozone, the United States, the United Kingdom, Japan, and Canada over the period 2002–2024, and the United States during the Great Inflation and Moderation (1965–1990). Our estimator outperforms standard parametric and non-parametric alternatives in forecasting inflation volatility and exhibits a strong empirical relationship with survey-based measures of inflation uncertainty. We also introduce the Directional Volatility Ratio (DVR), a novel measure that captures time-varying asymmetries in the relationship between inflation levels and volatility. This measure is effective for tracking shifting inflation trends, identifying turning points, and characterizing inflation risk across different regimes.</div></div>","PeriodicalId":48419,"journal":{"name":"Economic Modelling","volume":"157 ","pages":"Article 107516"},"PeriodicalIF":4.7,"publicationDate":"2026-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146191048","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-28DOI: 10.1016/j.econmod.2026.107502
Xiaohua Ma , Qibing Gao , Jun Wang , Mingquan Wang , Chunhua Zhu
This paper provides a novel Bayesian synthetic control method (BSCM) that integrates a horseshoe prior (H-BSCM) with a panel interactive fixed effects model for policy evaluation involving multiple treated units and staggered treatment timing. Counterfactual posterior distributions are constructed within a Bayesian panel interactive fixed effects framework, with horseshoe priors added to address sparsity in panel data. The new H-BSCM naturally quantifies heterogeneous policy effects while enabling effective variable selection. We further discuss an extension that incorporates hierarchical group structures. Monte Carlo simulations reveal that H-BSCM outperforms existing methods in uncertainty estimation and signal identification. Additional empirical applications across different fields confirm the method’s adaptability. An application to China’s Sulfur Dioxide Emissions Trading Pilot Scheme indicates that the policy significantly reduced industrial emissions, with effects that vary across regions and over time. Overall, the results highlight the effectiveness and practical applicability of the proposed methodology for policy evaluation.
{"title":"A Bayesian synthetic control method via horseshoe priors","authors":"Xiaohua Ma , Qibing Gao , Jun Wang , Mingquan Wang , Chunhua Zhu","doi":"10.1016/j.econmod.2026.107502","DOIUrl":"10.1016/j.econmod.2026.107502","url":null,"abstract":"<div><div>This paper provides a novel Bayesian synthetic control method (BSCM) that integrates a horseshoe prior (H-BSCM) with a panel interactive fixed effects model for policy evaluation involving multiple treated units and staggered treatment timing. Counterfactual posterior distributions are constructed within a Bayesian panel interactive fixed effects framework, with horseshoe priors added to address sparsity in panel data. The new H-BSCM naturally quantifies heterogeneous policy effects while enabling effective variable selection. We further discuss an extension that incorporates hierarchical group structures. Monte Carlo simulations reveal that H-BSCM outperforms existing methods in uncertainty estimation and signal identification. Additional empirical applications across different fields confirm the method’s adaptability. An application to China’s Sulfur Dioxide Emissions Trading Pilot Scheme indicates that the policy significantly reduced industrial <span><math><msub><mrow><mi>SO</mi></mrow><mrow><mn>2</mn></mrow></msub></math></span> emissions, with effects that vary across regions and over time. Overall, the results highlight the effectiveness and practical applicability of the proposed methodology for policy evaluation.</div></div>","PeriodicalId":48419,"journal":{"name":"Economic Modelling","volume":"157 ","pages":"Article 107502"},"PeriodicalIF":4.7,"publicationDate":"2026-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146191046","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-28DOI: 10.1016/j.econmod.2026.107494
Yufei Cao
I quantify high-dimensional conditional value-at-risk (CoVaR) measures, including multi-CoVaR (MCoVaR) and vulnerability-CoVaR (VCoVaR), to assess systemic risk arising from distress across multiple financial institutions. MCoVaR captures system-wide risk under the assumption that all institutions are distressed, whereas VCoVaR reflects scenarios in which at least one institution breaches its value-at-risk threshold. Using a two-step maximum log-likelihood approach based on multivariate dynamic conditional correlation (DCC)-generalized autoregressive conditional heteroskedasticity (GARCH) models, I first estimate univariate GARCH parameters via quasi-likelihood methods and then estimate multivariate DCC parameters. Analyzing 246 U.S. financial institutions (73 banks, 52 brokers, 34 real estate firms, and 87 insurers) at both institutional and sectoral levels, I identify heterogeneous contributions to systemic risk across groups. Statistical tests confirm that each group plays a significant role in systemic vulnerability, although their relative importance depends on the specific systemic risk measure employed. Overall, the results provide new insights into the drivers of systemic risk associated with multivariate institutional distress.
{"title":"Quantifying systemic risk via high-dimensional CoVaR measures","authors":"Yufei Cao","doi":"10.1016/j.econmod.2026.107494","DOIUrl":"10.1016/j.econmod.2026.107494","url":null,"abstract":"<div><div>I quantify high-dimensional conditional value-at-risk (CoVaR) measures, including multi-CoVaR (MCoVaR) and vulnerability-CoVaR (VCoVaR), to assess systemic risk arising from distress across multiple financial institutions. MCoVaR captures system-wide risk under the assumption that all institutions are distressed, whereas VCoVaR reflects scenarios in which at least one institution breaches its value-at-risk threshold. Using a two-step maximum log-likelihood approach based on multivariate dynamic conditional correlation (DCC)-generalized autoregressive conditional heteroskedasticity (GARCH) models, I first estimate univariate GARCH parameters via quasi-likelihood methods and then estimate multivariate DCC parameters. Analyzing 246 U.S. financial institutions (73 banks, 52 brokers, 34 real estate firms, and 87 insurers) at both institutional and sectoral levels, I identify heterogeneous contributions to systemic risk across groups. Statistical tests confirm that each group plays a significant role in systemic vulnerability, although their relative importance depends on the specific systemic risk measure employed. Overall, the results provide new insights into the drivers of systemic risk associated with multivariate institutional distress.</div></div>","PeriodicalId":48419,"journal":{"name":"Economic Modelling","volume":"157 ","pages":"Article 107494"},"PeriodicalIF":4.7,"publicationDate":"2026-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146080838","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-27DOI: 10.1016/j.econmod.2026.107504
Clas Eriksson, Johan Lindén, Christos Papahristodoulou
We analyze theoretically a simple model of the electricity market where the supply of Variable Renewable Electricity (VRE) and demand are both shifting stochastically over time. The correlation between these shifts is crucial for the equilibrium price of electricity. Based on hourly equilibria we compute yearly producer surpluses, consumer utility and the value factor of VRE, under different conditions.
While an increasing correlation between VRE and demand causes a decline in average price and total producer surplus, the VRE producer surplus increases, because these producers sell much when price is high. Higher VRE and peak capacities reduce the average price and the total producer surplus, but a negative correlation can counteract this, by causing high prices more frequently. In addition, the value factor of VRE does not decline monotonously, contrary to findings in previous studies.
{"title":"Modeling electricity markets when renewable power increases","authors":"Clas Eriksson, Johan Lindén, Christos Papahristodoulou","doi":"10.1016/j.econmod.2026.107504","DOIUrl":"10.1016/j.econmod.2026.107504","url":null,"abstract":"<div><div>We analyze theoretically a simple model of the electricity market where the supply of Variable Renewable Electricity (VRE) and demand are both shifting stochastically over time. The correlation between these shifts is crucial for the equilibrium price of electricity. Based on hourly equilibria we compute yearly producer surpluses, consumer utility and the value factor of VRE, under different conditions.</div><div>While an increasing correlation between VRE and demand causes a decline in average price and total producer surplus, the VRE producer surplus increases, because these producers sell much when price is high. Higher VRE and peak capacities reduce the average price and the total producer surplus, but a negative correlation can counteract this, by causing high prices more frequently. In addition, the value factor of VRE does not decline monotonously, contrary to findings in previous studies.</div></div>","PeriodicalId":48419,"journal":{"name":"Economic Modelling","volume":"157 ","pages":"Article 107504"},"PeriodicalIF":4.7,"publicationDate":"2026-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146080836","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-24DOI: 10.1016/j.econmod.2026.107501
Sheng Dai , Timo Kuosmanen , Zhiqiang Liao
This study examines how efficient resource reallocation across cities affects potential aggregate growth, addressing the limited empirical evidence on output gains from reallocation under realistic constraints. Using data on 284 prefecture-level cities in China from 2003 to 2019, we simulate counterfactual scenarios in which existing aggregate resources are reallocated across cities to quantify the costs of resource misallocation. We find that a nationwide efficient allocation can raise aggregate output by more than 30 percent, with further gains arising from adjustments to administrative divisions. While local reallocation also generates output gains, its effects are relatively modest compared with nationwide reallocation. Even when incorporating geographic constraints, urban development strategies, and restrictions on factor mobility, substantial potential gains remain. These results suggest that reducing resource misallocation can unlock significant untapped growth potential. The findings carry important policy implications for improving allocation efficiency in China and offer broader insights into the links between urban structure, regional integration, and long-run economic growth.
{"title":"Quantifying potential gains from efficient resource reallocation: A counterfactual analysis of economic growth in 284 Chinese cities","authors":"Sheng Dai , Timo Kuosmanen , Zhiqiang Liao","doi":"10.1016/j.econmod.2026.107501","DOIUrl":"10.1016/j.econmod.2026.107501","url":null,"abstract":"<div><div>This study examines how efficient resource reallocation across cities affects potential aggregate growth, addressing the limited empirical evidence on output gains from reallocation under realistic constraints. Using data on 284 prefecture-level cities in China from 2003 to 2019, we simulate counterfactual scenarios in which existing aggregate resources are reallocated across cities to quantify the costs of resource misallocation. We find that a nationwide efficient allocation can raise aggregate output by more than 30 percent, with further gains arising from adjustments to administrative divisions. While local reallocation also generates output gains, its effects are relatively modest compared with nationwide reallocation. Even when incorporating geographic constraints, urban development strategies, and restrictions on factor mobility, substantial potential gains remain. These results suggest that reducing resource misallocation can unlock significant untapped growth potential. The findings carry important policy implications for improving allocation efficiency in China and offer broader insights into the links between urban structure, regional integration, and long-run economic growth.</div></div>","PeriodicalId":48419,"journal":{"name":"Economic Modelling","volume":"157 ","pages":"Article 107501"},"PeriodicalIF":4.7,"publicationDate":"2026-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146191026","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In response to global supply chain restructuring in recent years, China has committed to promoting firm supply chain upgrades through digital technologies. In this paper, we employ China’s Supply Chain Innovation and Application policy (SCIA) as a quasi-natural experiment to examine how supply chain reform affects firms’ market performance. Analyzing data from Chinese A-share listed companies (2014–2022) through a difference-in-difference model, we find that: (1) supply chain reform significantly enhances firms’ operating income and product market performance; (2) the positive impact is more pronounced in firms with higher upstreamness, lower customer stability, those operating in non-high-tech manufacturing sectors, and those with lower initial digitalization levels; (3) the efficacy of supply chain reform operates through two primary mechanisms: optimization of internal resource allocation and reduction of external transaction costs; (4) such reform increases firms’ openness and improve overall performance. Our findings offer valuable policy implications for developing countries and transition economies seeking to modernize their supply chains and accelerate economic transformation in an increasingly digitalized global marketplace.
{"title":"Digital supply chains and firm market performance: Evidence from a quasi-natural experiment in China","authors":"Feng Yun , Jinyu Chen , Shuzhen Liang , Mingxun Liu","doi":"10.1016/j.econmod.2026.107490","DOIUrl":"10.1016/j.econmod.2026.107490","url":null,"abstract":"<div><div>In response to global supply chain restructuring in recent years, China has committed to promoting firm supply chain upgrades through digital technologies. In this paper, we employ China’s Supply Chain Innovation and Application policy (SCIA) as a quasi-natural experiment to examine how supply chain reform affects firms’ market performance. Analyzing data from Chinese A-share listed companies (2014–2022) through a difference-in-difference model, we find that: (1) supply chain reform significantly enhances firms’ operating income and product market performance; (2) the positive impact is more pronounced in firms with higher upstreamness, lower customer stability, those operating in non-high-tech manufacturing sectors, and those with lower initial digitalization levels; (3) the efficacy of supply chain reform operates through two primary mechanisms: optimization of internal resource allocation and reduction of external transaction costs; (4) such reform increases firms’ openness and improve overall performance. Our findings offer valuable policy implications for developing countries and transition economies seeking to modernize their supply chains and accelerate economic transformation in an increasingly digitalized global marketplace.</div></div>","PeriodicalId":48419,"journal":{"name":"Economic Modelling","volume":"157 ","pages":"Article 107490"},"PeriodicalIF":4.7,"publicationDate":"2026-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146080833","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-23DOI: 10.1016/j.econmod.2026.107498
Zhangwei Ding, Yangzi Li , Yuanhong Wang, Xuan Huang
This paper examines whether cultural trade policy can expand cultural exports in the presence of “cultural discount,” which generates implicit trade frictions across markets. While existing studies document that cultural distance constrains cultural trade, systematic quantitative evidence on the effectiveness of cultural trade policy remains limited. We develop a heterogeneous-firm model with endogenous quality choice and implicit trade costs, and test its predictions using China's 2014 cultural trade policy and cultural export data from 2009 to 2019. Employing a difference-in-differences framework in which cultural distance proxies for policy exposure, we find that the policy significantly increases cultural export values. Mechanism analysis shows that this effect operates primarily through quality upgrading rather than marginal cost reductions. The policy also lowers bilateral tariffs and cultural trade costs, while having limited effects on external cultural communication. Further analysis indicates that export growth is driven mainly by expansion along the intensive margin, suggesting that future policy design should place greater emphasis on promoting extensive-margin growth.
{"title":"How cultural trade policy shapes export Performance? A theoretical and empirical study of China's cultural product exports","authors":"Zhangwei Ding, Yangzi Li , Yuanhong Wang, Xuan Huang","doi":"10.1016/j.econmod.2026.107498","DOIUrl":"10.1016/j.econmod.2026.107498","url":null,"abstract":"<div><div>This paper examines whether cultural trade policy can expand cultural exports in the presence of “cultural discount,” which generates implicit trade frictions across markets. While existing studies document that cultural distance constrains cultural trade, systematic quantitative evidence on the effectiveness of cultural trade policy remains limited. We develop a heterogeneous-firm model with endogenous quality choice and implicit trade costs, and test its predictions using China's 2014 cultural trade policy and cultural export data from 2009 to 2019. Employing a difference-in-differences framework in which cultural distance proxies for policy exposure, we find that the policy significantly increases cultural export values. Mechanism analysis shows that this effect operates primarily through quality upgrading rather than marginal cost reductions. The policy also lowers bilateral tariffs and cultural trade costs, while having limited effects on external cultural communication. Further analysis indicates that export growth is driven mainly by expansion along the intensive margin, suggesting that future policy design should place greater emphasis on promoting extensive-margin growth.</div></div>","PeriodicalId":48419,"journal":{"name":"Economic Modelling","volume":"157 ","pages":"Article 107498"},"PeriodicalIF":4.7,"publicationDate":"2026-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146191045","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-23DOI: 10.1016/j.econmod.2026.107492
Qian Lv , Yicheng Tang , Lulan Ge , Daohan Ni
China and the countries participating in the Belt and Road Initiative (BRI) possess significant potential to strengthen their positions in global value chains (GVCs) through enhanced international knowledge flows. Yet, the role of cross-border mergers and acquisitions (M&As) in driving GVC upgrading via such knowledge transmission remains insufficiently examined. Using industry-level panel data from 38 BRI countries over the period 2007–2021 , we show that cross-border M&As substantially improve home-country GVC positions by facilitating the diffusion of international R&D, skilled human capital, and automation-related technologies. We further find that these effects are heterogeneous: they are more pronounced in economies with lower levels of financial development and digitalization, and are significantly strengthened under the BRI framework. These findings underscore the importance of international investment participation and the strategic role of BRI policy in enabling countries to capture higher value within GVCs.
{"title":"Cross-border M&As, international knowledge flows and global value chain upgrading: Evidence from belt & road countries","authors":"Qian Lv , Yicheng Tang , Lulan Ge , Daohan Ni","doi":"10.1016/j.econmod.2026.107492","DOIUrl":"10.1016/j.econmod.2026.107492","url":null,"abstract":"<div><div>China and the countries participating in the Belt and Road Initiative (BRI) possess significant potential to strengthen their positions in global value chains (GVCs) through enhanced international knowledge flows. Yet, the role of cross-border mergers and acquisitions (M&As) in driving GVC upgrading via such knowledge transmission remains insufficiently examined. Using industry-level panel data from 38 BRI countries over the period 2007–2021 , we show that cross-border M&As substantially improve home-country GVC positions by facilitating the diffusion of international R&D, skilled human capital, and automation-related technologies. We further find that these effects are heterogeneous: they are more pronounced in economies with lower levels of financial development and digitalization, and are significantly strengthened under the BRI framework. These findings underscore the importance of international investment participation and the strategic role of BRI policy in enabling countries to capture higher value within GVCs.</div></div>","PeriodicalId":48419,"journal":{"name":"Economic Modelling","volume":"157 ","pages":"Article 107492"},"PeriodicalIF":4.7,"publicationDate":"2026-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146080839","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-22DOI: 10.1016/j.econmod.2026.107496
Nigel Driffield , James H. Love , Stefano Menghinello , Meng Song
This paper examines the causes of foreign affiliate performance, exploring the importance of the relationships between affiliates and parents in explaining apparent performance differences. By making use of a large firm level database, linking firm level data to numerous sources of official country level data, we explore the importance of headquarters effects, affiliate level effects, and location effects in terms of firm performance. Further, we contrast the effects in terms of both productivity and profitability. Affiliate-level factors explain most of affiliate performance. There are parent-level influences on affiliate performance, but not from the parent's location. Our analysis provides insights into the interaction of parent (i.e. HQ) attributes with those of the foreign affiliate, as well as the locations of both HQ and affiliate, and thus provides insights into the complexity of these relationships.
{"title":"Foreign affiliate performance: independence, location and parental control","authors":"Nigel Driffield , James H. Love , Stefano Menghinello , Meng Song","doi":"10.1016/j.econmod.2026.107496","DOIUrl":"10.1016/j.econmod.2026.107496","url":null,"abstract":"<div><div>This paper examines the causes of foreign affiliate performance, exploring the importance of the relationships between affiliates and parents in explaining apparent performance differences. By making use of a large firm level database, linking firm level data to numerous sources of official country level data, we explore the importance of headquarters effects, affiliate level effects, and location effects in terms of firm performance. Further, we contrast the effects in terms of both productivity and profitability. Affiliate-level factors explain most of affiliate performance. There are parent-level influences on affiliate performance, but not from the parent's location. Our analysis provides insights into the interaction of parent (i.e. HQ) attributes with those of the foreign affiliate, as well as the locations of both HQ and affiliate, and thus provides insights into the complexity of these relationships.</div></div>","PeriodicalId":48419,"journal":{"name":"Economic Modelling","volume":"157 ","pages":"Article 107496"},"PeriodicalIF":4.7,"publicationDate":"2026-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146190585","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-22DOI: 10.1016/j.econmod.2026.107500
Yu Ma , Hong Liu , Jing Wang
We construct a multiagent model in which an insider simultaneously discloses information to a market professional and outsiders, and characterize the resulting linear equilibrium. Our analysis yields three main results. First, the insider strategically adjusts the precision of disclosure based on the quality of the market professional information. Second, when the market professional is well-informed, their expected profits under information leakage exceed those without leakage, resulting in a form of self-relative outperformance that departs from previous theories. Third, market liquidity and price efficiency exhibit an inverted U-shaped relationship with the precision of the market professional’s information. Using Chinese A-share data, we find empirical evidence consistent with these predictions. We find that information spillovers may coexist with stronger incentives for information production, underscoring the need for tailored regulatory approaches.
{"title":"Market professional performance under insider information leakage","authors":"Yu Ma , Hong Liu , Jing Wang","doi":"10.1016/j.econmod.2026.107500","DOIUrl":"10.1016/j.econmod.2026.107500","url":null,"abstract":"<div><div>We construct a multiagent model in which an insider simultaneously discloses information to a market professional and outsiders, and characterize the resulting linear equilibrium. Our analysis yields three main results. First, the insider strategically adjusts the precision of disclosure based on the quality of the market professional information. Second, when the market professional is well-informed, their expected profits under information leakage exceed those without leakage, resulting in a form of self-relative outperformance that departs from previous theories. Third, market liquidity and price efficiency exhibit an inverted U-shaped relationship with the precision of the market professional’s information. Using Chinese A-share data, we find empirical evidence consistent with these predictions. We find that information spillovers may coexist with stronger incentives for information production, underscoring the need for tailored regulatory approaches.</div></div>","PeriodicalId":48419,"journal":{"name":"Economic Modelling","volume":"157 ","pages":"Article 107500"},"PeriodicalIF":4.7,"publicationDate":"2026-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146039928","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}