José De Gregorio , Luis P. de la Horra , Mauricio Jara
{"title":"Currency mismatches in emerging markets: Effects on corporate liquidity, investment dynamics and performance","authors":"José De Gregorio , Luis P. de la Horra , Mauricio Jara","doi":"10.1016/j.najef.2026.102597","DOIUrl":"10.1016/j.najef.2026.102597","url":null,"abstract":"<div><div>We examine how USD-denominated bond issuance by non-financial listed firms in emerging market economies affects cash holdings and real activity under currency depreciations and shifting external borrowing conditions. Using firm-year data for 1655 listed firms in fifteen EMEs (2001–2016) and an issuance-based measure of offshore access, we find that issuing abroad raises cash holdings and increases investment with a lag, consistent with a <em>save-to-invest</em> motive. These effects are stronger when country-level risk-adjusted domestic–U.S. borrowing spreads are high. Depreciations dampen the contemporaneous cash buildup but do not systematically reduce investment or competitiveness. Instead, firms expand working capital and, when depreciations coincide with high spreads, increase sales and capacity utilization, indicating adjustment through liquidity and operational margins rather than sharp balance-sheet distress.</div></div>","PeriodicalId":47831,"journal":{"name":"North American Journal of Economics and Finance","volume":"83 ","pages":"Article 102597"},"PeriodicalIF":3.9,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147397450","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"2024 US election: The climate for green and brown portfolios","authors":"Nicola Comincioli , Michael Donadelli","doi":"10.1016/j.najef.2026.102593","DOIUrl":"10.1016/j.najef.2026.102593","url":null,"abstract":"<div><div>This study examines the short-term stock price reactions of green and brown stocks following Donald Trump’s victory in the 2024 U.S. Presidential election. Using an event-study methodology, we analyze Cumulative Abnormal Returns (CARs) for portfolios constructed based on environmental sustainability criteria, as ESG-based scores, and CO<span><math><msub><mrow></mrow><mrow><mn>2</mn></mrow></msub></math></span> emission intensity metrics. Our findings indicate that classification criteria significantly influence market reactions. Brown portfolios (low ESG scores) generally outperformed green portfolios (high ESG scores) post-election, reflecting investor expectations of relaxed environmental regulations favoring carbon-intensive industries. Conversely, when portfolios are classified by CO<span><math><msub><mrow></mrow><mrow><mn>2</mn></mrow></msub></math></span> emission intensity, green portfolios (low CO<span><math><msub><mrow></mrow><mrow><mn>2</mn></mrow></msub></math></span> emissions) outperformed brown portfolios (high CO<span><math><msub><mrow></mrow><mrow><mn>2</mn></mrow></msub></math></span> emissions), suggesting investors prioritize direct environmental impact metrics in the short term. The study also emphasizes the importance of the factor model used to estimate theoretical returns, as different approaches yield varying magnitudes and dynamics of CARs. Specifically, size and value factors are found to play a critical role in shaping the CARs of green and brown portfolios around the election. An additional regression analysis reveals that market volatility, public attention to climate change, and political sentiment (particularly rising attention to Trump) significantly influenced the CARs of green and brown portfolios, albeit with differing effects. Green sentiment, however, had no significant impact on CARs. These results highlight the complex interplay between political events, investor sentiment, and sustainability-related market dynamics.</div></div>","PeriodicalId":47831,"journal":{"name":"North American Journal of Economics and Finance","volume":"83 ","pages":"Article 102593"},"PeriodicalIF":3.9,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146188685","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Industrial policy and downside risk: Evidence from CHIPS-Exposed firms","authors":"Kwame Asiam Addey , Kekoura Sakouvogui","doi":"10.1016/j.najef.2026.102603","DOIUrl":"10.1016/j.najef.2026.102603","url":null,"abstract":"<div><div>This paper investigates the relationship between risk and stock returns for CHIPS-exposed semiconductor firms and non-CHIPS-exposed firms across two periods- before and after implementing the CHIPS Act. In doing so, we focus on the relationship between stock returns and downside risk using a panel regression framework estimated via the generalized method of moments (GMM) with heteroskedasticity and autocorrelation consistent standard errors. Our results show that market risk increased after the Act was implemented, while the relative downside risk premium decreased. Furthermore, the CHIPS-exposed semiconductor firm stocks had higher market risk premium than the non-CHIPS-exposed stocks across the two periods. Despite this increase in market risk premium, the relative downside risk premium was statistically insignificant after implementing the CHIPS Act. The findings of this study have several policy implications for financial practitioners, investors, and researchers. For instance, financial practitioners may have to reassess their risk models and hedging strategies to account for heightened volatility yet reduced relative downside risk in semiconductor and chip manufacturing sectors. Furthermore, policymakers and financial regulators should be aware that large-scale industrial policies such as the CHIPS Act can shift systematic and idiosyncratic risks, potentially requiring additional oversight or macroprudential measures.</div></div>","PeriodicalId":47831,"journal":{"name":"North American Journal of Economics and Finance","volume":"83 ","pages":"Article 102603"},"PeriodicalIF":3.9,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147397452","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Joshua Neel , Michel Charifzadeh , Tim A. Herberger
{"title":"Rival wealth effects in M&A: rethinking the competitive impact of horizontal transactions in the U.S. TMT sector","authors":"Joshua Neel , Michel Charifzadeh , Tim A. Herberger","doi":"10.1016/j.najef.2026.102595","DOIUrl":"10.1016/j.najef.2026.102595","url":null,"abstract":"<div><div>Recent antitrust scrutiny in the United States has led to the termination of major mergers in the technology, media, and telecommunications (TMT) sector, reflecting concerns about potential anticompetitive effects. However, sector-agnostic research on announcement effects finds little evidence of such harm from M&A, and TMT-related studies report conflicting results, raising questions about the rationale for aggressive regulatory intervention. This study provides the most comprehensive analysis to date of horizontal M&A effects on rivals within the U.S. TMT sector, analyzing 714 rival announcement reactions across 120 transactions over a period of 20 years. Our findings reveal significant positive shareholder wealth effects for rivals following merger announcements by competitors, suggesting that horizontal consolidation in this sector does not reduce competition. These results resolve previous contradictions in TMT-specific literature and call for a critical reassessment of stringent antitrust enforcement to avoid impeding overall firm value creation. Furthermore, the study challenges the notion that M&A in the TMT sector primarily serves as a competitive strategy for acquiring technological capabilities, offering important implications for both policymakers and industry leaders.</div></div>","PeriodicalId":47831,"journal":{"name":"North American Journal of Economics and Finance","volume":"83 ","pages":"Article 102595"},"PeriodicalIF":3.9,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146078547","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Oil price uncertainty and macro-financial systemic risk","authors":"Zongming Liu , Wenhui Shi","doi":"10.1016/j.najef.2026.102596","DOIUrl":"10.1016/j.najef.2026.102596","url":null,"abstract":"<div><div>This paper aims to explore the relationship between oil price uncertainty and U.S. macro-financial systemic risk, which measures the tail risk faced by the macroeconomy during financial system failures. Utilizing time-varying skewed t-distribution and quantile regression models, we reveal the dynamic characteristics of macro-financial systemic risk. Employing stochastic volatility models and Bayesian MCMC techniques, we estimate the real-time features of oil price uncertainty. Subsequently, our findings based on VAR and TVP-VAR models indicate that oil price uncertainty significantly exacerbates macro-financial systemic risk, with varying effects across different tail quantiles, highlighting the complex response of macro-financial systemic risk to oil price shocks. Furthermore, the analysis reveals a typical time-varying heterogeneity in the impact of oil price uncertainty on macro-financial systemic risk, particularly intensifying during the early 2000s, the financial crisis period, and the COVID-19 pandemic.</div></div>","PeriodicalId":47831,"journal":{"name":"North American Journal of Economics and Finance","volume":"83 ","pages":"Article 102596"},"PeriodicalIF":3.9,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146188684","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Forecasting realized volatility using HAR models and wavelet decomposition: A volatility-timing perspective","authors":"Adam Clements , Puneet Vatsa","doi":"10.1016/j.najef.2026.102605","DOIUrl":"10.1016/j.najef.2026.102605","url":null,"abstract":"<div><div>This study proposes a wavelet-based approach to forecasting Realized Volatility (RV) and evaluates its economic value within a volatility-timing framework. We apply wavelet decomposition to separate short-, medium-, and long-term components and generate forecasts using Heterogeneous Autoregressive (HAR) models. Forecasts based on the low-frequency component consistently lead to better portfolio outcomes, reducing turnover and enhancing investor utility without increasing risk. These results hold even when portfolio weights are forecast directly after being constructed from RV, or when jump-robust volatility estimates are used. The results highlight the importance of aligning forecast evaluation with practical investment objectives. Forecasts delivering the greatest welfare gains may not minimize conventional statistical loss functions.</div></div>","PeriodicalId":47831,"journal":{"name":"North American Journal of Economics and Finance","volume":"83 ","pages":"Article 102605"},"PeriodicalIF":3.9,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147397449","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
George K. Zestos , Yixiao Jiang , Robert C. Winder , Charles Matzen
{"title":"The debt-growth nexus in Canada: evidence from an open-economy ARDL model","authors":"George K. Zestos , Yixiao Jiang , Robert C. Winder , Charles Matzen","doi":"10.1016/j.najef.2025.102574","DOIUrl":"10.1016/j.najef.2025.102574","url":null,"abstract":"<div><div>This study investigates the long-run relationship between public debt and economic growth in Canada from 1960 to 2022 using an Autoregressive Distributed Lag (ARDL) model. By incorporating key macroeconomic variables such as world GDP, the current account balance, and long-term interest rates, the analysis captures the macroeconomic dynamics of Canada’s small open economy. The findings reveal a negative relationship between public debt and economic growth in Canada, suggesting that fiscal prudence is crucial for sustained economic performance. Specifically, a 1% annual increase in public debt results in a 0.6–0.7% reduction in real GDP. Moreover, external factors such as global economic conditions and interest rates significantly influence Canada’s economic trajectory. These insights offer valuable policy implications not only for Canada, but also for similar open economies grappling with rising public debt levels.</div></div>","PeriodicalId":47831,"journal":{"name":"North American Journal of Economics and Finance","volume":"83 ","pages":"Article 102574"},"PeriodicalIF":3.9,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145980229","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Corrigendum to “Dynamic distortions of the security market line: Evidence from asymmetric volatility and regime-switching models” [N. Am. J. Econ. Financ. 82 (2026) 102566]","authors":"Hatem Brik","doi":"10.1016/j.najef.2026.102598","DOIUrl":"10.1016/j.najef.2026.102598","url":null,"abstract":"","PeriodicalId":47831,"journal":{"name":"North American Journal of Economics and Finance","volume":"83 ","pages":"Article 102598"},"PeriodicalIF":3.9,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147397447","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Quantile connectedness among green and dirty cryptocurrencies and North American clean technology and ESG","authors":"Monica Singhania , Surabhi Seth , Chanchal Saini","doi":"10.1016/j.najef.2026.102610","DOIUrl":"10.1016/j.najef.2026.102610","url":null,"abstract":"<div><div>We investigate volatility spillovers between green and dirty cryptocurrencies and North American clean technology and ESG equity using a quantile time–frequency connectedness approach. Leveraging an energy-efficiency-based classification of cryptocurrencies, we examine their dynamic interactions with sustainability-focused equity markets. The results reveal that connectedness varies across quantiles and time horizons, with heightened short-run spillovers during market stress. Bitcoin, Ethereum, and Cardano alternate between transmitter and receiver roles across regimes, whereas Ripple more consistently acts as a net receiver. Clean-technology and ESG equities exhibit state-dependent behaviour, shifting between shock absorption and propagation during systemic disruptions. Determinants analysis indicates that macro-financial uncertainty measures display horizon-specific associations with spillovers, while connectedness itself exhibits strong persistence, underscoring the path-dependent nature of systemic risk. Translating these findings into portfolio strategies, we show that minimum connectedness portfolios provide improved downside protection relative to traditional minimum variance and minimum correlation approaches during high-spillover states. By focusing on North American clean technology markets and situating the analysis within major systemic episodes, including the COVID-19 pandemic, the Russia-Ukraine conflict, the 2022–2023 monetary tightening cycle, the Terra-Luna and FTX-led crypto crises, and Ethereum’s energy transition from dirty to clean cryptocurrency post-merge in September 2022, the study offers a regionally grounded assessment of how North American climate-aligned equities and digital assets co-evolve under stress. The results offer valuable insights for investors and policymakers navigating increasingly climate-sensitive and digitally integrated financial systems.</div></div>","PeriodicalId":47831,"journal":{"name":"North American Journal of Economics and Finance","volume":"83 ","pages":"Article 102610"},"PeriodicalIF":3.9,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147397455","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Economic uncertainty, shadow banking, and systemic risk: A perspective of interbank network structure analysis","authors":"Hongjie Pan, Zhaojie Wang, Hejie Zhang, Shusheng Ding","doi":"10.1016/j.najef.2026.102600","DOIUrl":"10.1016/j.najef.2026.102600","url":null,"abstract":"<div><div>The onset of a “Trump 2.0” era is expected to usher a new wave of global economic uncertainty, exerting profound effects on shadow banking activities and impacting systemic risk. Motivated by these concerns, we examine the dynamic evolution of systemic risk across various interbank network structures to investigate how economic uncertainty and shadow banking interact to propagate and accumulate risk. Our findings reveal that heightened economic uncertainty significantly amplifies the systemic risk posed by shadow banking, while shadow banking activities, in turn, increase the banking system’s sensitivity to economic fluctuations. Under minimal to intermediate economic uncertainty, uniformly connected networks exhibit greater risk resilience. However, in a substantial economic uncertainty environment, network structures featuring core hubs demonstrates superior stability. Furthermore, the rise in economic uncertainty diminishes the positive influence of shadow banking on bank liquidity, profitability, and investment opportunities, markedly lowering the bank survival rate and increasing the need for central bank interventions. Asset loss stress tests further indicate that elevated economic uncertainty severely weakens the resilience of interbank networks, with intense shocks risking systemic dysfunction and collapse.</div></div>","PeriodicalId":47831,"journal":{"name":"North American Journal of Economics and Finance","volume":"83 ","pages":"Article 102600"},"PeriodicalIF":3.9,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146188687","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}