{"title":"Cryptocurrencies, stocks, and economic policy uncertainty: A FAVAR analysis","authors":"Andrea Civelli, Laura E. Jackson","doi":"10.1016/j.najef.2025.102405","DOIUrl":"10.1016/j.najef.2025.102405","url":null,"abstract":"<div><div>We study the interactions between cryptocurrencies, stocks, and U.S. economic policy uncertainty (EPU) using a Factor-Augmented Vector Autoregressive framework, in which return comovements within each asset market are modeled by a single common factor. We document a remarkable heterogeneity across cryptocurrencies, with market fragmentation by functional characteristics of the projects. Through structural impulse-response analysis, we find that: (1) Stock returns positively respond to crypto shocks, but not vice versa; (2) Cryptocurrencies can be used to hedge against U.S. EPU, but display safe-haven characteristics against Chinese EPU. We interpret these results in light of recent crypto investment and pricing models.</div></div>","PeriodicalId":47831,"journal":{"name":"North American Journal of Economics and Finance","volume":"78 ","pages":"Article 102405"},"PeriodicalIF":3.8,"publicationDate":"2025-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143601423","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":"A RGARCH-CARR-SK model: A new high-frequency volatility forecasting and risk measurement model based on dynamic higher moments and generalized realized measures","authors":"Junjie Liu , Qingnan Zhou , Zhenlong Chen","doi":"10.1016/j.najef.2025.102408","DOIUrl":"10.1016/j.najef.2025.102408","url":null,"abstract":"<div><div>The RGARCH-CARR-SK model is developed in this paper by incorporating the characteristics of parameters that directly reflect higher moments in the Gram-Charlier expansion distribution, as well as leveraging the advantages of the RGARCH-CARR model for high-frequency volatility prediction. Simultaneously, we extend the realized volatility measure in the model to explore its efficacy in volatility forecasting and risk measurement under a variety of generalized realized measures. Additionally, we investigate the finite sample behavior of model parameter estimation using Monte Carlo simulations. The result demonstrates that the model exhibits favorable asymptotic performance in parameter estimation across various finite samples. Finally, the empirical study employs the forecasting of high-frequency volatility in the RGARCH-CARR-SK model for China’s GEM and evaluates its effectiveness using various risk methods based on the model. The result reveals that the RGARCH-CARR-SK model outperforms the benchmark models in in-sample fitting, out-of-sample volatility prediction, as well as risk measurement.</div></div>","PeriodicalId":47831,"journal":{"name":"North American Journal of Economics and Finance","volume":"77 ","pages":"Article 102408"},"PeriodicalIF":3.8,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143534109","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":"Systemic risk among Chinese oil and petrochemical firms based on dynamic tail risk spillover networks","authors":"Tingqiang Chen , Xin Zheng , Lei Wang","doi":"10.1016/j.najef.2025.102404","DOIUrl":"10.1016/j.najef.2025.102404","url":null,"abstract":"<div><div>This study examines the dynamic network of tail risk spillovers among Chinese oil and petrochemical firms listed on the Shanghai and Shenzhen A-share markets from 2015 to 2023. Employing the single-index quantile regression technique and the tail risk spillover model, it constructs a framework to assess systemic risk transmission within the oil and petrochemical industry. A block model is utilized to explore clustering patterns of risk spillovers, focusing on the overall network structure and individual firms’ roles. The findings reveal a significant systemic risk spillover effect, with the volatility of tail risk spillovers closely tied to geopolitical and financial risks. The industry predominantly exhibits characteristics of a scale-free network, transitioning to a small-world network when risk spillover intensity declines. Unlike the financial and real estate sectors, the oil and petrochemical industry’s risk spillover network features pronounced modularity inversely related to spillover intensity. Oil exploration firms and petrochemical product segments are identified as primary sources and recipients of risk spillovers, reflecting a bidirectional relationship. Conversely, oil transportation firms act as intermediaries, while oil refining firms primarily display intra-segment spillovers.</div></div>","PeriodicalId":47831,"journal":{"name":"North American Journal of Economics and Finance","volume":"77 ","pages":"Article 102404"},"PeriodicalIF":3.8,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143520275","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":"Does Chinese mixed-ownership reform improve innovation quality in privately-owned enterprises? A dual-perspective evidence from managerial myopia and resource-based view","authors":"Xuehua Gu","doi":"10.1016/j.najef.2025.102406","DOIUrl":"10.1016/j.najef.2025.102406","url":null,"abstract":"<div><div>Existing literature has largely overlooked the mediating role of managerial myopia in shaping corporate innovation quality, and the impact of external resource provision on incentivizing innovation under the Resource-Based View (RBV) remains contentious. This study investigates whether China’s reverse mixed-ownership reform improves innovation quality in privately-owned enterprises (POEs) from the perspectives of managerial myopia and the RBV. Using data from 1,413 publicly listed POEs between 2007 and 2022 and applying textual analysis to measure managerial myopia, the study finds that managerial myopia negatively affects innovation quality. Moreover, the reverse mixed-ownership reform fails to alleviate managerial myopia, thereby hindering corporate innovation quality. External resource provisions, such as government subsidies and tax incentives, significantly moderate the detrimental effects of managerial myopia on innovation quality, and higher credit financing costs exacerbate this relationship, as demonstrated after addressing sample self-selection bias. The empirical findings extend the scope of current research by bridging the literature on behavioral finance and the RBV, offering new insights into the interplay between managerial myopia, external resource provisions, and innovation quality. Rigorous robustness checks, including sensitivity analyses and addressing endogeneity concerns, validate these conclusions.</div></div>","PeriodicalId":47831,"journal":{"name":"North American Journal of Economics and Finance","volume":"77 ","pages":"Article 102406"},"PeriodicalIF":3.8,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143508503","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Svetoslav Covachev , Jocelyn Martel , Sofia Brito-Ramos
{"title":"Are ESG factors truly unique?","authors":"Svetoslav Covachev , Jocelyn Martel , Sofia Brito-Ramos","doi":"10.1016/j.najef.2025.102386","DOIUrl":"10.1016/j.najef.2025.102386","url":null,"abstract":"<div><div>The growing popularity of ESG investing raises questions about whether ESG and carbon factors represent unique sources of systematic risk or are absorbed by traditional equity factors. We find that the systematic components of recently proposed carbon and ESG risk factors are linear combinations of well-known risk factors. The ESG factor has a positive exposure to large firms, high beta firms and to the safety factor (a subcomponent of the quality factor). The carbon factor has positive exposure to the market and safety factors and negative loadings on the size and profitability factors. Furthermore, investors who follow well-known ESG indexes are exposed to market and size factor risks, and not always to the ESG and carbon factors. Such indexes are nevertheless closely related to the “long leg” of the ESG factor. Overall, the evidence suggests that the ESG and carbon factors are subordinated to other factors, highlighting the importance of leveraging established risk factors to account for ESG and carbon risks.</div></div>","PeriodicalId":47831,"journal":{"name":"North American Journal of Economics and Finance","volume":"77 ","pages":"Article 102386"},"PeriodicalIF":3.8,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143520276","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Adrián Fernandez-Perez , Marta Gómez-Puig , Simón Sosvilla-Rivero
{"title":"Examining the transmission of credit and liquidity risks: A network analysis for EMU sovereign debt markets","authors":"Adrián Fernandez-Perez , Marta Gómez-Puig , Simón Sosvilla-Rivero","doi":"10.1016/j.najef.2025.102407","DOIUrl":"10.1016/j.najef.2025.102407","url":null,"abstract":"<div><div>The sovereign debt crisis in the euro area revealed that European Monetary Union (EMU) government bond markets interact in a highly synchronised network and that risk particular to a country or sovereign bond yield component cannot be appropriately evaluated in isolation without taking potential risk transmission effects from other countries or sovereign bond yield components into consideration. Therefore, in clear contrast with the empirical evidence based on Granger-causality tests, the main contribution of the paper comes from the analysis of the transmission of credit and liquidity risk by examining a broad network of relations between the two risks in nine EMU sovereign debt markets from 2008 to 2018, explicitly examining the net pairwise connectedness among all the possible pairs formed from the 18 sovereign risk indicators. The results of this analysis indicate that, on average, risk transmission goes mostly from credit to liquidity risk (both within and across countries). This finding is crucial for policymakers because it indicates that rising credit risk is the primary driver of yield spread increases, and actions to strengthen the budgetary position of euro-area economies are essential. Finally, our results indicate that sovereign risk transmission is time-varying. Although both liquidity and credit risk were transmitted across countries during the Global Financial Crisis, we mainly observed the transmission of liquidity risk across them during the European sovereign debt crisis, suggesting that investors prefer sovereign debt that is easier to trade when market liquidity dries up.</div></div>","PeriodicalId":47831,"journal":{"name":"North American Journal of Economics and Finance","volume":"77 ","pages":"Article 102407"},"PeriodicalIF":3.8,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143527051","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 Nexus among the Belt and Road Initiative participating countries","authors":"Yiguo Chen , Peng Luo , Tsangyao Chang","doi":"10.1016/j.najef.2025.102403","DOIUrl":"10.1016/j.najef.2025.102403","url":null,"abstract":"<div><div>The Belt and Road Initiative (BRI) cooperation has created closer economic and trade relations over the past decade. This study analyzes the economic interconnectivity between BRI-participating countries and highlights key findings. The economic links between partner countries have experienced rapid and slow growth, with high connectivity levels. Macroeconomic downturns increase economic connections between countries, with a negative contagion index being higher than a positive. Land-based Silk Road countries have higher connectivity than Maritime Silk Road countries, and China and non-adjacent countries have higher connectivity than China and adjacent countries. Additionally, GDP fluctuations spillover network demonstrate the net transmitters and net receivers in the network, and the transmission channels and directions between each other. Policy-makers should consider these findings for high-quality BRI cooperation.</div></div>","PeriodicalId":47831,"journal":{"name":"North American Journal of Economics and Finance","volume":"77 ","pages":"Article 102403"},"PeriodicalIF":3.8,"publicationDate":"2025-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143444359","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":"Green credit and systemic risk: From the perspectives of policy and scale","authors":"Chien-Chiang Lee , Qian Xiao , Xiaoming Zhang","doi":"10.1016/j.najef.2025.102402","DOIUrl":"10.1016/j.najef.2025.102402","url":null,"abstract":"<div><div>After putting forward the twin goals of peak emissions and carbon neutrality, China is now paying greater attention to green finance development. As the main conduit for implementing green credit policy, commercial banks generally focus on the impact of systemic risk within their own industry. Based on data from listed commercial banks in China from 2008 to 2021, this research uses the conditional value at risk (CoVaR) model to measure systemic risk. The empirical results show that implementing green credit policy lowers banks’ systemic risk, whereas increasing the scale of green credit significantly cuts the systemic risk level of banks overall, large state-owned commercial banks, and joint-stock commercial banks. The findings further illustrate that commercial banks alleviate the systemic risks of banks by reducing the capital adequacy ratio and the non-performing loan ratio while actively issuing green credit.</div></div>","PeriodicalId":47831,"journal":{"name":"North American Journal of Economics and Finance","volume":"77 ","pages":"Article 102402"},"PeriodicalIF":3.8,"publicationDate":"2025-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143465414","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":"Comparison of the interdependence relationship between crude oil futures and spot in China and international crude oil markets − evidence from time-frequency and quantile perspectives","authors":"Fengyuan Shi , Yiwen Deng , Yaoqi Guo","doi":"10.1016/j.najef.2025.102390","DOIUrl":"10.1016/j.najef.2025.102390","url":null,"abstract":"<div><div>To understand the heterogeneity in the relationship between global crude oil futures and spot markets, as well as the development level of China’s crude oil futures market, this paper adopts wavelet and quantile methods to explore the interdependencies between China and international crude oil futures and spot markets. The research findings indicate that crude oil markets experience significant volatility and the connection between crude oil futures and spot markets intensifies during major events. For WTI and Brent crude oil futures and spot markets, the lead-lag relationship is mainly reflected in the short and medium term. For China and Dubai crude oil futures markets, no clear evidence was found that the crude oil futures market leads the crude oil spot market. Based on the quantile coherency results, the coherency between futures and spot markets in WTI and Brent crude oil futures and spot markets decreases as the time frequency increases. For the 0.05|0.05 quantile, the positive correlation between Chinese crude oil futures and spot markets decreases more rapidly with increasing time frequency. During the periods of the COVID-19 pandemic and the Russia-Ukraine conflict, the dependence between crude oil futures and spot markets at different quantiles has changed.</div></div>","PeriodicalId":47831,"journal":{"name":"North American Journal of Economics and Finance","volume":"77 ","pages":"Article 102390"},"PeriodicalIF":3.8,"publicationDate":"2025-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143488584","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 shocks, economic policy uncertainty and China’s producer price index: Evidence from quantile regression analysis","authors":"Yun Qin , Zitao Zhang","doi":"10.1016/j.najef.2025.102399","DOIUrl":"10.1016/j.najef.2025.102399","url":null,"abstract":"<div><div>Oil price shocks have a significant impact on various sectors of the national economy and, together with the accompanying economic policy uncertainty, cause price fluctuations in different industries. Relying on the monthly data from February 2006 to June 2018, we explore the effects of oil price shocks and economic policy uncertainty on China’s producer price index (PPI) by employing the quantile regression model. The study reveals that oil price shocks have significantly positive impacts on China’s PPI under various quantiles, and the impacts depend on negative oil price shocks rather than positive oil price shocks, indicating the asymmetric effects of oil price shocks. Economic policy uncertainty has significantly negative effects on China’s PPI at the low quantiles, while it exerts significantly positive effects on China’s PPI at the high quantiles. The four types of economic policy uncertainty have different impacts on China’s PPI, and the impacts of fiscal policy uncertainty and trade policy uncertainty are relatively larger, indicating the heterogeneous impacts of different types of economic policy uncertainty. In addition, the effects of oil price shocks and economic policy uncertainty on classified PPI are diverse.</div></div>","PeriodicalId":47831,"journal":{"name":"North American Journal of Economics and Finance","volume":"77 ","pages":"Article 102399"},"PeriodicalIF":3.8,"publicationDate":"2025-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143444360","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}