Pub Date : 2026-02-06DOI: 10.1016/j.irfa.2026.105104
Zeineb Barka, Zied Ftiti, Taher Hamza
{"title":"Carbon performance and CDS spreads: Unveiling the role of governance mechanisms in shaping dynamic distress risk","authors":"Zeineb Barka, Zied Ftiti, Taher Hamza","doi":"10.1016/j.irfa.2026.105104","DOIUrl":"https://doi.org/10.1016/j.irfa.2026.105104","url":null,"abstract":"","PeriodicalId":48226,"journal":{"name":"International Review of Financial Analysis","volume":"44 1","pages":""},"PeriodicalIF":8.2,"publicationDate":"2026-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146135472","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-29DOI: 10.1016/j.irfa.2026.105101
Riccardo Tipaldi, Carmen Gallucci, José Manuel Liñares Zegarra
{"title":"Herding behaviour in equity crowdfunding and P2P lending markets: A systematic meta-analysis","authors":"Riccardo Tipaldi, Carmen Gallucci, José Manuel Liñares Zegarra","doi":"10.1016/j.irfa.2026.105101","DOIUrl":"https://doi.org/10.1016/j.irfa.2026.105101","url":null,"abstract":"","PeriodicalId":48226,"journal":{"name":"International Review of Financial Analysis","volume":"42 1","pages":""},"PeriodicalIF":8.2,"publicationDate":"2026-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146071482","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-25DOI: 10.1016/j.irfa.2026.105100
Christophe Godlewski , Laurent Weill
This paper investigates whether cultural narratives embedded in folklore influence the pricing of syndicated loans. We combine loan-level data for European companies with the cross-cultural dataset of oral traditions compiled by Michalopoulos and Xue (2021) to examine whether stories about risk-taking shape loan spreads. We find that the presence of challenge-related motifs in a lender's cultural background is associated with higher spreads. More specifically, tales that portray unsuccessful outcomes lead to significantly higher loan spreads, while those depicting successful risk-taking have no discernible effect. A greater prevalence of failure over success in challenge-related folklore robustly predicts higher spreads across specifications. These findings suggest that cultural beliefs about risk—transmitted through folklore—affect how lenders perceive borrower uncertainty. By shaping the soft information environment in which credit decisions are made, ancestral narratives continue to influence the terms of modern financial contracts.
{"title":"Tales that cost: Folklore and bank loan spreads","authors":"Christophe Godlewski , Laurent Weill","doi":"10.1016/j.irfa.2026.105100","DOIUrl":"10.1016/j.irfa.2026.105100","url":null,"abstract":"<div><div>This paper investigates whether cultural narratives embedded in folklore influence the pricing of syndicated loans. We combine loan-level data for European companies with the cross-cultural dataset of oral traditions compiled by Michalopoulos and Xue (2021) to examine whether stories about risk-taking shape loan spreads. We find that the presence of challenge-related motifs in a lender's cultural background is associated with higher spreads. More specifically, tales that portray unsuccessful outcomes lead to significantly higher loan spreads, while those depicting successful risk-taking have no discernible effect. A greater prevalence of failure over success in challenge-related folklore robustly predicts higher spreads across specifications. These findings suggest that cultural beliefs about risk—transmitted through folklore—affect how lenders perceive borrower uncertainty. By shaping the soft information environment in which credit decisions are made, ancestral narratives continue to influence the terms of modern financial contracts.</div></div>","PeriodicalId":48226,"journal":{"name":"International Review of Financial Analysis","volume":"111 ","pages":"Article 105100"},"PeriodicalIF":9.8,"publicationDate":"2026-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146048473","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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.irfa.2026.105102
Caterina Di Tommaso , Matteo Foglia , Vincenzo Pacelli
This study investigates the contagion effect of natural disasters on credit default swap (CDS) spreads in the European Union (EU) using a Generalized Method of Moments (GMM) approach. Focusing on understanding the channels through which contagion occurs, we analyze data from 11 Eurozone countries from 2007 to 2021. The analysis explores the causes of the propagation impact of natural disasters on CDS spreads, considering factors such as geographical distance, financial investment flow, and trade balance. Our findings highlight a significant positive effect of natural disasters on CDS spreads, indicating heightened perceived spillover risk following such events. Furthermore, we observe that countries with higher Climate Change Performance Index (CCPI) scores exhibit a lower contagion effect, suggesting that climate commitment may mitigate the financial impact of natural disasters. These results underscore the importance of proactive climate policies and risk management strategies in enhancing financial stability in the face of environmental shocks.
{"title":"The contagion effect of natural disasters in the Sovereign CDS market: Which causes?","authors":"Caterina Di Tommaso , Matteo Foglia , Vincenzo Pacelli","doi":"10.1016/j.irfa.2026.105102","DOIUrl":"10.1016/j.irfa.2026.105102","url":null,"abstract":"<div><div>This study investigates the contagion effect of natural disasters on credit default swap (CDS) spreads in the European Union (EU) using a Generalized Method of Moments (GMM) approach. Focusing on understanding the channels through which contagion occurs, we analyze data from 11 Eurozone countries from 2007 to 2021. The analysis explores the causes of the propagation impact of natural disasters on CDS spreads, considering factors such as geographical distance, financial investment flow, and trade balance. Our findings highlight a significant positive effect of natural disasters on CDS spreads, indicating heightened perceived spillover risk following such events. Furthermore, we observe that countries with higher Climate Change Performance Index (CCPI) scores exhibit a lower contagion effect, suggesting that climate commitment may mitigate the financial impact of natural disasters. These results underscore the importance of proactive climate policies and risk management strategies in enhancing financial stability in the face of environmental shocks.</div></div>","PeriodicalId":48226,"journal":{"name":"International Review of Financial Analysis","volume":"111 ","pages":"Article 105102"},"PeriodicalIF":9.8,"publicationDate":"2026-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146032764","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-20DOI: 10.1016/j.irfa.2026.105098
Susana Campos-Martins , Cristina Amado
We propose an additive time-varying (or partially time-varying) multivariate model of volatility, where a time-dependent component is added to the extended vector GARCH process for modelling the dynamics of volatility interactions. Volatility co-dependence is allowed to change smoothly between two extreme states, and second-moment interdependence is identified through these structural changes. The estimation of the new time-varying vector GARCH process is simplified using an equation-by-equation estimator for the volatility equations in the first step and estimating the correlation matrix in the second step. A new Lagrange multiplier test is derived for testing the null hypothesis of constant volatility co-dependence against a smoothly time-varying interdependence between financial markets. Monte Carlo experiments show that the test statistic has satisfactory finite-sample properties. An empirical application to sovereign bond yields illustrates the modelling strategy and the usefulness of the new specification.
{"title":"Modelling time-varying volatility interactions","authors":"Susana Campos-Martins , Cristina Amado","doi":"10.1016/j.irfa.2026.105098","DOIUrl":"10.1016/j.irfa.2026.105098","url":null,"abstract":"<div><div>We propose an additive time-varying (or partially time-varying) multivariate model of volatility, where a time-dependent component is added to the extended vector GARCH process for modelling the dynamics of volatility interactions. Volatility co-dependence is allowed to change smoothly between two extreme states, and second-moment interdependence is identified through these structural changes. The estimation of the new time-varying vector GARCH process is simplified using an equation-by-equation estimator for the volatility equations in the first step and estimating the correlation matrix in the second step. A new Lagrange multiplier test is derived for testing the null hypothesis of constant volatility co-dependence against a smoothly time-varying interdependence between financial markets. Monte Carlo experiments show that the test statistic has satisfactory finite-sample properties. An empirical application to sovereign bond yields illustrates the modelling strategy and the usefulness of the new specification.</div></div>","PeriodicalId":48226,"journal":{"name":"International Review of Financial Analysis","volume":"111 ","pages":"Article 105098"},"PeriodicalIF":9.8,"publicationDate":"2026-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146014269","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-20DOI: 10.1016/j.irfa.2026.105095
Puneet Pasricha , Xin-Jiang He
In this article, we address the valuation of a European vulnerable options within a structural framework. Specifically, we model the underlying asset and the asset of the option writer using a joint Hawkes jump-diffusion model with two-factor stochastic volatility. We derive a general analytical integral formula for prices of European options, applicable under any modeling framework as long as the joint characteristic function of asset prices associated with the underlying and option writer is available analytically. Distinguished from the pricing formulae in the literature, especially in a jump-diffusion framework, which is either in the form of the expectation over the jump process or requires evaluating several layers of infinite sums, our formula is significantly simplified and computationally efficient. Moreover, our model dynamics encompasses a wide range of commonly used models as special cases, for which we provide explicit analytical forms of the joint characteristic functions. Finally, we present numerical experiments demonstrating the accuracy and computational efficiency of our formula, along with sensitivity analysis to highlight the impact of various model parameters on the option prices.
{"title":"Vulnerable options under a Hawkes jump-diffusion model with two-factor stochastic volatility","authors":"Puneet Pasricha , Xin-Jiang He","doi":"10.1016/j.irfa.2026.105095","DOIUrl":"10.1016/j.irfa.2026.105095","url":null,"abstract":"<div><div>In this article, we address the valuation of a European vulnerable options within a structural framework. Specifically, we model the underlying asset and the asset of the option writer using a joint Hawkes jump-diffusion model with two-factor stochastic volatility. We derive a general analytical integral formula for prices of European options, applicable under any modeling framework as long as the joint characteristic function of asset prices associated with the underlying and option writer is available analytically. Distinguished from the pricing formulae in the literature, especially in a jump-diffusion framework, which is either in the form of the expectation over the jump process or requires evaluating several layers of infinite sums, our formula is significantly simplified and computationally efficient. Moreover, our model dynamics encompasses a wide range of commonly used models as special cases, for which we provide explicit analytical forms of the joint characteristic functions. Finally, we present numerical experiments demonstrating the accuracy and computational efficiency of our formula, along with sensitivity analysis to highlight the impact of various model parameters on the option prices.</div></div>","PeriodicalId":48226,"journal":{"name":"International Review of Financial Analysis","volume":"111 ","pages":"Article 105095"},"PeriodicalIF":9.8,"publicationDate":"2026-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146014267","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-15DOI: 10.1016/j.irfa.2026.105075
Xin Xu, Shupei Huang, Brian M. Lucey, Haizhong An
{"title":"Retraction notice to “The impacts of climate policy uncertainty on stock markets: Comparison between China and the US” [FINANA 88 (2023) 102671]","authors":"Xin Xu, Shupei Huang, Brian M. Lucey, Haizhong An","doi":"10.1016/j.irfa.2026.105075","DOIUrl":"https://doi.org/10.1016/j.irfa.2026.105075","url":null,"abstract":"","PeriodicalId":48226,"journal":{"name":"International Review of Financial Analysis","volume":"60 1","pages":""},"PeriodicalIF":8.2,"publicationDate":"2026-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145995228","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}