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}
Pub Date : 2026-01-15DOI: 10.1016/j.irfa.2026.105096
Kevin Birk , Martin Rohleder , René Weh , Marco Wilkens
This study examines the performance of low-carbon equity funds by gaining a better understanding of what drove past performance, what opportunity costs arose from higher idiosyncratic risks, and which components would shape future expectations. Low-carbon funds outperformed medium- and high-carbon funds under traditional factor models, but this advantage declined after incorporating carbon-related factors and fund characteristics. Adjusting for the opportunity costs of idiosyncratic risk particularly weakened low-carbon fund performance. Considering factor premia, exposures, characteristics, and diversification costs, investors should expect lower returns relative to a passive market-wide benchmark and roughly comparable outcomes across low-, medium-, and high-carbon funds.
{"title":"The performance of low-carbon equity funds","authors":"Kevin Birk , Martin Rohleder , René Weh , Marco Wilkens","doi":"10.1016/j.irfa.2026.105096","DOIUrl":"10.1016/j.irfa.2026.105096","url":null,"abstract":"<div><div>This study examines the performance of low-carbon equity funds by gaining a better understanding of what drove past performance, what opportunity costs arose from higher idiosyncratic risks, and which components would shape future expectations. Low-carbon funds outperformed medium- and high-carbon funds under traditional factor models, but this advantage declined after incorporating carbon-related factors and fund characteristics. Adjusting for the opportunity costs of idiosyncratic risk particularly weakened low-carbon fund performance. Considering factor premia, exposures, characteristics, and diversification costs, investors should expect lower returns relative to a passive market-wide benchmark and roughly comparable outcomes across low-, medium-, and high-carbon funds.</div></div>","PeriodicalId":48226,"journal":{"name":"International Review of Financial Analysis","volume":"111 ","pages":"Article 105096"},"PeriodicalIF":9.8,"publicationDate":"2026-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145995227","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 : 2026-01-14DOI: 10.1016/j.irfa.2026.105081
Syed Jawad Hussain Shahzad, Elie Bouri, David Roubaud, Ladislav Kristoufek, Brian Lucey
{"title":"Retraction notice to “Is Bitcoin a better safe-haven investment than gold and commodities?” [FINANA 63 (2019) 322–330]","authors":"Syed Jawad Hussain Shahzad, Elie Bouri, David Roubaud, Ladislav Kristoufek, Brian Lucey","doi":"10.1016/j.irfa.2026.105081","DOIUrl":"https://doi.org/10.1016/j.irfa.2026.105081","url":null,"abstract":"","PeriodicalId":48226,"journal":{"name":"International Review of Financial Analysis","volume":"4 1","pages":""},"PeriodicalIF":8.2,"publicationDate":"2026-01-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145995231","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 : 2026-01-13DOI: 10.1016/j.irfa.2026.105094
Sung Ik Kim
We develop a framework to measure systemic risk in international equity markets by integrating ARMA-GARCH dynamics with Dynamic Conditional Correlation (DCC) and Gaussian Mixture (GM) innovations. The specification captures heavy tails, regime dependence, and time-varying co-movement, and incorporates foreign exchange (FX) risk by modeling all equity returns in U.S. dollars. Using daily data for 10 major equity indices from 2000–2024, we estimate rolling joint predictive distributions and simulate conditional tail measures — , , , and . Out-of-sample backtests (Kupiec, Christoffersen, and Dynamic Quantiles tests) indicate strong tail calibration and conditional coverage. Empirically, systemic spillovers are highly time varying and intensify around major global stress episodes; adjusting for FX materially amplifies magnitudes and often reorders systemic risk contributors, especially in emerging markets. These results underscore the importance of modeling currency risk and non-Gaussian shocks when assessing cross-border vulnerabilities. The proposed GM-DCC framework provides a practical tool for investors, policymakers, and regulators to detect and monitor global financial fragility with greater precision.
{"title":"Gaussian Mixture systemic risk measures in international equity markets","authors":"Sung Ik Kim","doi":"10.1016/j.irfa.2026.105094","DOIUrl":"10.1016/j.irfa.2026.105094","url":null,"abstract":"<div><div>We develop a framework to measure systemic risk in international equity markets by integrating ARMA-GARCH dynamics with Dynamic Conditional Correlation (DCC) and Gaussian Mixture (GM) innovations. The specification captures heavy tails, regime dependence, and time-varying co-movement, and incorporates foreign exchange (FX) risk by modeling all equity returns in U.S. dollars. Using daily data for 10 major equity indices from 2000–2024, we estimate rolling joint predictive distributions and simulate conditional tail measures — <span><math><mrow><mi>C</mi><mi>o</mi><mi>V</mi><mi>a</mi><mi>R</mi></mrow></math></span>, <span><math><mrow><mi>Δ</mi><mi>C</mi><mi>o</mi><mi>V</mi><mi>a</mi><mi>R</mi></mrow></math></span>, <span><math><mrow><mi>C</mi><mi>o</mi><mi>A</mi><mi>V</mi><mi>a</mi><mi>R</mi></mrow></math></span>, and <span><math><mrow><mi>Δ</mi><mi>C</mi><mi>o</mi><mi>A</mi><mi>V</mi><mi>a</mi><mi>R</mi></mrow></math></span>. Out-of-sample backtests (Kupiec, Christoffersen, and Dynamic Quantiles tests) indicate strong tail calibration and conditional coverage. Empirically, systemic spillovers are highly time varying and intensify around major global stress episodes; adjusting for FX materially amplifies magnitudes and often reorders systemic risk contributors, especially in emerging markets. These results underscore the importance of modeling currency risk and non-Gaussian shocks when assessing cross-border vulnerabilities. The proposed GM-DCC framework provides a practical tool for investors, policymakers, and regulators to detect and monitor global financial fragility with greater precision.</div></div>","PeriodicalId":48226,"journal":{"name":"International Review of Financial Analysis","volume":"110 ","pages":"Article 105094"},"PeriodicalIF":9.8,"publicationDate":"2026-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145961873","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 : 2026-01-12DOI: 10.1016/j.irfa.2026.105080
Elie Bouri, Brian Lucey, Tareq Saeed, Xuan Vinh Vo
{"title":"Retraction notice to “Extreme spillovers across Asian-Pacific currencies: A quantile-based analysis” [FINANA 72 (2020) 101605]","authors":"Elie Bouri, Brian Lucey, Tareq Saeed, Xuan Vinh Vo","doi":"10.1016/j.irfa.2026.105080","DOIUrl":"https://doi.org/10.1016/j.irfa.2026.105080","url":null,"abstract":"","PeriodicalId":48226,"journal":{"name":"International Review of Financial Analysis","volume":"12 1","pages":""},"PeriodicalIF":8.2,"publicationDate":"2026-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145957091","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 : 2026-01-12DOI: 10.1016/j.irfa.2026.105078
Shaen Corbet, Brian Lucey, Andrew Urquhart, Larisa Yarovaya
{"title":"Retraction notice to “Cryptocurrencies as a financial asset: A systematic analysis” [FINANA 62 (2019) 182–199]","authors":"Shaen Corbet, Brian Lucey, Andrew Urquhart, Larisa Yarovaya","doi":"10.1016/j.irfa.2026.105078","DOIUrl":"https://doi.org/10.1016/j.irfa.2026.105078","url":null,"abstract":"","PeriodicalId":48226,"journal":{"name":"International Review of Financial Analysis","volume":"29 1","pages":""},"PeriodicalIF":8.2,"publicationDate":"2026-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145957092","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 : 2026-01-12DOI: 10.1016/j.irfa.2026.105077
Xinya Wang, Huifang Liu, Shupei Huang, Brian Lucey
{"title":"Retraction notice to “Identifying the multiscale financial contagion in precious metal markets” [FINANA 63 (2019) 209–219]","authors":"Xinya Wang, Huifang Liu, Shupei Huang, Brian Lucey","doi":"10.1016/j.irfa.2026.105077","DOIUrl":"https://doi.org/10.1016/j.irfa.2026.105077","url":null,"abstract":"","PeriodicalId":48226,"journal":{"name":"International Review of Financial Analysis","volume":"54 1","pages":""},"PeriodicalIF":8.2,"publicationDate":"2026-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145957355","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 : 2026-01-12DOI: 10.1016/j.irfa.2026.105079
Conor Neville, Brian M. Lucey
{"title":"Retraction notice to “Financing Irish high-tech SMEs: The analysis of capital structure” [FINANA 83 (2022) 102219]","authors":"Conor Neville, Brian M. Lucey","doi":"10.1016/j.irfa.2026.105079","DOIUrl":"https://doi.org/10.1016/j.irfa.2026.105079","url":null,"abstract":"","PeriodicalId":48226,"journal":{"name":"International Review of Financial Analysis","volume":"29 1","pages":""},"PeriodicalIF":8.2,"publicationDate":"2026-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145957099","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 : 2026-01-12DOI: 10.1016/j.irfa.2026.105093
Michał Kałdoński, Tomasz Jewartowski
On the basis of 460 non-financial public companies listed on the Warsaw Stock Exchange, we find a negative relationship between the shareholdings of motivated institutional investors playing the role of minority shareholders and the firm's reliance on bank debt. The observed relation seems to reflect the substitution effect in monitoring insiders, between motivated institutional investors and banks. We find this relationship to hold mostly for transparent companies, as they do not benefit much from disclosing private information to banks and thus can easily replace bank debt with other sources of financing. Furthermore, it holds mostly for companies suffering from substantial agency problems stemming from potential conflicts of interest between controlling and minority shareholders (a typical problem in countries with concentrated ownership structure of listed companies) and thus having greater monitoring needs. The revealed relationship is also substantial for poorly performing firms, where effective institutional monitoring can reduce the debt renegotiation advantage of bank financing. We document that the observed effect is stronger for motivated institutions with higher monitoring effectiveness, i.e. independent, long-term institutional investors with multiple blockholdings. We confirm that firms with motivated institutional investors tend to have higher proportions of public debt. Additionally, we show that companies substituting bank monitoring with institutional monitoring experience an increase in firm value.
{"title":"Motivated institutional investors and corporate debt choices: Do minority shareholders matter?","authors":"Michał Kałdoński, Tomasz Jewartowski","doi":"10.1016/j.irfa.2026.105093","DOIUrl":"10.1016/j.irfa.2026.105093","url":null,"abstract":"<div><div>On the basis of 460 non-financial public companies listed on the Warsaw Stock Exchange, we find a negative relationship between the shareholdings of motivated institutional investors playing the role of minority shareholders and the firm's reliance on bank debt. The observed relation seems to reflect the substitution effect in monitoring insiders, between motivated institutional investors and banks. We find this relationship to hold mostly for transparent companies, as they do not benefit much from disclosing private information to banks and thus can easily replace bank debt with other sources of financing. Furthermore, it holds mostly for companies suffering from substantial agency problems stemming from potential conflicts of interest between controlling and minority shareholders (a typical problem in countries with concentrated ownership structure of listed companies) and thus having greater monitoring needs. The revealed relationship is also substantial for poorly performing firms, where effective institutional monitoring can reduce the debt renegotiation advantage of bank financing. We document that the observed effect is stronger for motivated institutions with higher monitoring effectiveness, i.e. independent, long-term institutional investors with multiple blockholdings. We confirm that firms with motivated institutional investors tend to have higher proportions of public debt. Additionally, we show that companies substituting bank monitoring with institutional monitoring experience an increase in firm value.</div></div>","PeriodicalId":48226,"journal":{"name":"International Review of Financial Analysis","volume":"111 ","pages":"Article 105093"},"PeriodicalIF":9.8,"publicationDate":"2026-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145957098","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}