China Finance Review International最新文献

{"title":"The impact of China's green credit policy on enterprise digital innovation: evidence from heavily-polluting Chinese listed companies","authors":"Q. Lu, Yangyang Deng, Xinyi Wang, Aiping Wang","doi":"10.1108/cfri-11-2022-0224","DOIUrl":"https://doi.org/10.1108/cfri-11-2022-0224","url":null,"abstract":"PurposeAs an effective tool to promote rational resource allocation and facilitate the development of green management practices such as enterprise digital innovation, the green credit policy has recently gained extensive attention. The purpose of this paper is to analyze the relationship between green credit policies and the digital innovation of enterprises, and to further explore the mechanism of action between them and their boundary conditions.Design/methodology/approachBased on micro-level data on Chinese firms from 2007 to 2019, this paper constructs a difference-in-differences (DID) model to investigate the impact and intrinsic mechanisms of green credit policies on firms' digital innovation and its boundary conditions, with the help of a quasi-natural experiment, i.e. the Green Credit Guidelines.FindingsGreen credit policies inhibit digital innovation and fail to compensate for innovation. The analysis of the mechanism shows that the implementation of green credit policies has a negative impact on digital innovation by increasing the financing constraints faced by firms, and has also a crowding-out effect on R&D investment, resulting in a disincentive to digital innovation. Further analysis reveals that the negative impact of green credit policies on digital innovation is more pronounced in state-owned enterprises, enterprises without financially experienced executives, and in the eastern regions of China.Originality/valueThis study provides empirical evidence to understand the effectiveness and mechanism of influence of green credit policies on enterprise digital innovation, providing also a basis to further improve green credit policies.","PeriodicalId":44440,"journal":{"name":"China Finance Review International","volume":null,"pages":null},"PeriodicalIF":8.2,"publicationDate":"2023-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41441638","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}

{"title":"Risk-taking by banks: evidence from European Union countries","authors":"M. T. M. Garcia, Ana Jin Ye","doi":"10.1108/cfri-12-2022-0248","DOIUrl":"https://doi.org/10.1108/cfri-12-2022-0248","url":null,"abstract":"PurposeThe aim of this paper is to study the relationship between banks' ownership structure and their risk-taking behavior as well as the impact of banking regulation on banks' approach to taking risk, after the 2008 financial crisis.Design/methodology/approachThe empirical analysis considers a sample of listed banks from European Union (EU) countries, over the period of 2011–2016 and uses the generalized least squared (GLS) random effect (RE) method, following Baltagi and Wu (1999) and Pathan (2009).FindingsThe authors find that the structure of the board of directors can influence bank risk behavior but not the ownership concentration. No significant relation was found between the influence of the regulatory environment and bank risk, i.e., stricter regulation has no effect on risk taking by banks.Originality/valueThe paper contributes to the literature in risk measures and banks' corporate governance. It also considers the impact of regulatory framework on banks' risk-taking behavior. The aim of this empirical analysis was to examine in greater detail these subjects and the dynamics between them after the significant structural changes in the macroeconomic environment and in the financial system, particularly with regards the regulatory and supervisory framework following the 2008 financial crisis, using data from European Union countries.","PeriodicalId":44440,"journal":{"name":"China Finance Review International","volume":null,"pages":null},"PeriodicalIF":8.2,"publicationDate":"2023-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46798098","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}

{"title":"Dynamic interlinkages between cryptocurrencies, NFTs, and DeFis and optimal portfolio investment strategies","authors":"Onur Polat","doi":"10.1108/cfri-03-2023-0061","DOIUrl":"https://doi.org/10.1108/cfri-03-2023-0061","url":null,"abstract":"PurposeThis study aims to scrutinize time-varying return and volatility interlinkages among major cryptocurrencies, NFT tokens and DeFi assets between 1 July 2018 and 19 February 2023 and determine optimal portfolio allocations and hedging effectiveness under different portfolio construction techniques.Design/methodology/approachThis work examines time-varying return and volatility interlinkages among major cryptocurrencies, NFT tokens, and DeFi assets between 1 July 2018 and 19 February 2023. To this end, the time-varying parameter-vector autoregression (TVP-VAR)-based connectedness methodology of Antonakakis et al. (2020) This approach is an extended version of the Diebold–Yilmaz (DY) method (Diebold and Yılmaz, 2014) and has advantages over the original DY. First, unlike the DY, it is free of the selection of a particular window size. Second, it has robustness for the outliers. Furthermore, following Broadstock et al. (2022), the author estimates time-varying optimal portfolio weights and hedging effectiveness under different portfolio construction scenarios.FindingsThis study's results indicate the following results: (1) The overall connectedness indices prominently capture well-known financial/geopolitical distress incidents; (2) the leading cryptocurrencies (ETH, BTC and BNB) are the largest transmitter of return shocks, while LINK and BTC are the largest transmitters/recipients of volatility shocks; (3) cryptocurrencies, NFTs and DeFi form distinct cluster groups in terms of return and volatility connectedness; (4) the connectedness networks estimated around the 2022 cryptocurrency crash and the FTX's filing for the bankruptcy are characterized by the strongest return and volatility interlinkages; (5) optimal portfolio strategies computed by different portfolio construction techniques display similar motifs and have sustained growth paths except for some short-lived drop backs.Research limitations/implicationsThis study's findings imply several policy suggestions for investors, stakeholders and policymakers. First, the study's time-based dynamic interlinkages can help market participants in their optimal portfolio decisions. In particular, the persistent net receiving roles of the DeFi assets and the NFTs throughout the episode, especially around the financial/geopolitical turmoil, underpin their safe haven potentials (Umar et al., 2022a, b). Finally, since the total connectedness indices (TCIs) are prone to significantly increase around financial/geopolitical burst times, these tools can be valuable for policy makers to monitor risk.Originality/valueThe contribution of knowledge is at least threefold. First, the author focuses on the dynamic time interlinkages among major cryptocurrencies, NFTs and DeFi assets in July 2018 and February 2023 considering the prominent recent financial/geopolitical incidents. Second, the author estimates network topologies of dynamic connectedness around financial/geopolitical bursts and compared them in ter","PeriodicalId":44440,"journal":{"name":"China Finance Review International","volume":null,"pages":null},"PeriodicalIF":8.2,"publicationDate":"2023-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45240109","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}

{"title":"Sectoral risk contagion and quantile network connectedness on Chinese stock sectors after the COVID-19 outbreak","authors":"Yang Gao, Wanqi Zheng, Yaojun Wang","doi":"10.1108/cfri-02-2023-0039","DOIUrl":"https://doi.org/10.1108/cfri-02-2023-0039","url":null,"abstract":"PurposeThis study aims to explore the risk spillover effects among different sectors of the Chinese stock market after the outbreak of COVID-19 from both Internet sentiment and price fluctuations.Design/methodology/approachThe authors develop four indicators used for risk contagion analysis, including Internet investors and news sentiments constructed by the FinBERT model, together with realized and jump volatilities yielded by high-frequency data. The authors also apply the time-varying parameter vector autoregressive (TVP-VAR) model-based and the tail-based connectedness framework to investigate the interdependence of tail risk during catastrophic events.FindingsThe empirical analysis provides meaningful results related to the COVID-19 pandemic, stock market conditions and tail behavior. The results show that after the outbreak of COVID-19, the connectivity between risk spillovers in China's stock market has grown, indicating the increased instability of the connected system and enhanced connectivity in the tail. The changes in network structure during COVID-19 pandemic are not only reflected by the increased spillover connectivity but also by the closer relationships between some industries. The authors also found that major public events could significantly impact total connectedness. In addition, spillovers and network structures vary with market conditions and tend to exhibit a highly connected network structure during extreme market status.Originality/valueThe results confirm the connectivity between sentiments and volatilities spillovers in China's stock market, especially in the tails. The conclusion further expands the practical application and theoretical framework of behavioral finance and also lays a theoretical basis for investors to focus on the practical application of volatility prediction and risk management across stock sectors.","PeriodicalId":44440,"journal":{"name":"China Finance Review International","volume":null,"pages":null},"PeriodicalIF":8.2,"publicationDate":"2023-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46295598","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}

{"title":"Risk spillovers connectedness between the US Fintech industry VaR, behavioral biases and macroeconomic instability factors: COVID-19 implications","authors":"Oumayma Gharbi, Yousra Trichilli, M. Boujelbene","doi":"10.1108/cfri-12-2022-0277","DOIUrl":"https://doi.org/10.1108/cfri-12-2022-0277","url":null,"abstract":"PurposeThe main objective of this paper is to analyze the dynamic volatility spillovers between the investor's behavioral biases, the macroeconomic instability factors and the value at risk of the US Fintech stock market before and during the COVID-19 pandemic.Design/methodology/approachThe authors used the methodologies proposed by Diebold and Yilmaz (2012) and the wavelet approach.FindingsThe wavelet coherence results show that during the COVID-19 period, there was a strong co-movement among value at risk and each selected variables in the medium-run and the long-run scales. Diebold and Yilmaz's (2012) method proved that the total connectedness index raised significantly during the COVID-19 period. Moreover, the overconfidence bias and the financial stress index are the net transmitters, while the value at risk and herding behavior variables are the net receivers.Research limitations/implicationsThis study offers some important implications for investors and policymakers to explain the impact of the COVID-19 pandemic on the risk of Fintech industry.Practical implicationsThe study findings might be useful for investors to better understand the time–frequency connectedness and the volatility spillover effects in the context of COVID-19 pandemic. Future research may deal with investors' ability of constructing portfolios with another alternative index like cryptocurrencies which seems to be a safer investment.Originality/valueTo the best of the authors' knowledge, this is the first study that relies on the continuous wavelet decomposition technique and spillover volatility to examine the connectedness between investor behavioral biases, uncertainty factors, and Value at Risk of US Fintech stock markets, while taking into account the recent COVID-19 pandemic.","PeriodicalId":44440,"journal":{"name":"China Finance Review International","volume":null,"pages":null},"PeriodicalIF":8.2,"publicationDate":"2023-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49073654","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}

{"title":"The integration of real estate investment trust: a wavelet coherency analysis","authors":"Nicholas Addai Boamah, E. Opoku, Stephen Zamore","doi":"10.1108/cfri-02-2023-0021","DOIUrl":"https://doi.org/10.1108/cfri-02-2023-0021","url":null,"abstract":"PurposeThe study investigates the co-movements amongst real estate investments trust (REITs). This study examines the co-movements between the world and individual countries' REITs and the co-movements amongst country-pair REITs. This study explores the responsiveness of the REITs markets' co-movements to the 2008 global financial crisis (GFC), the coronavirus disease 2019 (COVID-19) pandemic and the Russian–Ukraine conflict.Design/methodology/approachThe study employs a wavelet coherency technique and relies on data from six REITs markets over the 1995–2022 period. FindingsThe evidence shows a generally high level of coherency between the global and the country's REITs. The findings further indicate higher co-movements between some country pairs and a lower co-movement for others. The results suggest that the REITs markets increased in co-movements around the 2008 GFC, the COVID-19 pandemic and the Russian–Ukraine conflict. These increased co-movements mostly lasted for a short period suggesting REITs markets contagion around these global events. The results generally suggest interdependence between the global and the country's REITs. Additionally, interdependence is observed for some of the country-pair REITs.Originality/valueThe evidence indicates that REITs markets respond to global events. Thus, the increasing co-movement amongst REITs observed in this study may expose domestic REITs to global crisis. However, this study provides opportunities for minimising the cost of capital for real estate projects. Also, REITs provide limited diversification gains around crisis times. Therefore, countries need to open the REITs markets to global investors whilst pursuing policies to ensure the resilience of the REITs markets to global events. Investors should also take note of the declining geographic diversification gains from some country-pair REITs portfolios.","PeriodicalId":44440,"journal":{"name":"China Finance Review International","volume":null,"pages":null},"PeriodicalIF":8.2,"publicationDate":"2023-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49178032","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}

{"title":"Spillover effects of crash and jump events: evidence from Chinese market","authors":"M. Usman, W. Akhter, A. Haque","doi":"10.1108/cfri-07-2022-0126","DOIUrl":"https://doi.org/10.1108/cfri-07-2022-0126","url":null,"abstract":"PurposeThis paper aims to investigate the spillover effects of jump and crash events among Chinese nonfinancial firms.Design/methodology/approachThis sample consists of more than 1.5 million weekly observations of over 3,000 Chinese listed firms over the period 1991–2015. The authors utilize univariate tests to compare the post-event performance of matched peer and non-peer control firms and cross-sectional regressions of their abnormal returns/cumulative abnormal returns (ARs/CARs) and returns on assets (ROAs).FindingsThe authors find that extreme risk-adjusted abnormal stock returns (stock price crashes and jumps) generate statistically significant ARs/CARs in the same directions in industry, size, leverage, and geographical location matched peer firms in Chinese stock market. Further tests reveal that peer firms' response to the crash event is pronounced more in the group of firms about which the information asymmetry is high between investors and firms.Research limitations/implicationsPortfolio investors can adjust their portfolios accordingly by selling stocks of the matching rival firms during a crash period. Policymakers may develop policies so as to protect the interests of small investors in the events of crashes in the markets. They can reduce the information asymmetry between the firms and the investors by making information about the firms more transparent, so as to reduce the contagion in case of crash event.Practical implicationsThis study has important implications for portfolio investment managers and policymakers.Originality/valueTo the best of authors' knowledge, this is the first study that combines the jump and crash events and attempts to assess their spillover effects on other firms in Chinese stock market.","PeriodicalId":44440,"journal":{"name":"China Finance Review International","volume":null,"pages":null},"PeriodicalIF":8.2,"publicationDate":"2023-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43965128","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}

{"title":"The COVID-19 pandemic, economic policy uncertainty and the hedging role of cryptocurrencies: a global perspective","authors":"Muhammad Aftab, I. Haq, Mohamed Baity","doi":"10.1108/cfri-06-2022-0108","DOIUrl":"https://doi.org/10.1108/cfri-06-2022-0108","url":null,"abstract":"PurposeThe COVID-19 pandemic has led to global economic policy uncertainty, which has increased the need to investigate ways to mitigate the uncertainty. This study aims to examine the potential of cryptocurrencies as a hedge and safe haven avenue against economic policy uncertainty.Design/methodology/approachThis study investigates the behavior of the five leading cryptocurrencies in relation to country-level and group-level economic policy uncertainty indices, as measured by the text-based method developed by Baker et al. (The Quarterly Journal of Economics, 2016, 131, 1593–1636). The research covers a broad range of emerging and developed economies from July 2013 to September 2020. The study employs the approach of Narayan et al. (Economic Modelling, 2016, 53, 388–397) to examine the hedging and safe-haven properties of cryptocurrencies.FindingsThis study finds that the top cryptocurrencies play a hedging role against economic policy uncertainty, with some exceptions. Additionally, there is evidence to support the idea that cryptocurrencies can serve as a safe haven during the COVID-19 pandemic. As a result, investors may benefit from using cryptocurrencies as a risk-management avenue during times of uncertainty.Originality/valueThis research contributes to the existing literature by testing the cryptocurrencies' hedging and safe haven properties in a new way, by analyzing their lead and lag behaviors using a recent and innovative approach. Additionally, it examines a wide range of emerging and advanced markets, providing insight into the potential of using cryptocurrencies as a risk mitigation avenue.","PeriodicalId":44440,"journal":{"name":"China Finance Review International","volume":null,"pages":null},"PeriodicalIF":8.2,"publicationDate":"2023-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49388657","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}

{"title":"The environmental externality of economic growth target pressure: evidence from China","authors":"Fangying Pang, Hong Xie","doi":"10.1108/cfri-09-2022-0171","DOIUrl":"https://doi.org/10.1108/cfri-09-2022-0171","url":null,"abstract":"PurposeThis study aims to investigate the external effect of the economic growth target pressure of local governments on establishment-level SO2 emissions.Design/methodology/approachBased on manually collected panel data of 74,058 China's industrial establishments and more than 330 thousand observations from CIED and ESR, the authors use a firm-fixed effect model, instrumental variables estimation and heterogeneity tests to identify the environmental externality of economic growth target pressure.FindingsThe establishments in cities that meet or slightly exceed the economic growth target experience greater negative externality measured by SO2 emission intensity. This external effect is more pronounced in regions: with a strict and overweighted target setting; with stronger officials' promotion incentives; with a low degree of marketization; and in firms with great economic importance. The authors identify the underlying mechanisms of dependence on dirty industry and the relaxation of environmental enforcement. And the environmental protection constraints in 2007 mitigate the negative externality.Practical implicationsThe paper sheds light on to what extent economic growth target pressure has a negative externality of pollution in China and how this pressure may conflict with environmental protection.Originality/valueThis paper complements prior research on the economic effects of economic growth targets, expands the knowledge on the determinants of establishment-level pollution emission from the perspective of target pressure and provides insight into the environmental externality that results from political factors.","PeriodicalId":44440,"journal":{"name":"China Finance Review International","volume":null,"pages":null},"PeriodicalIF":8.2,"publicationDate":"2023-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42949993","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}

{"title":"Investor behavior and psychological effects: herding and anchoring biases in the MENA region","authors":"F. Tlili, Mustapha Chaffai, Imed Medhioub","doi":"10.1108/cfri-12-2022-0269","DOIUrl":"https://doi.org/10.1108/cfri-12-2022-0269","url":null,"abstract":"PurposeThe aim of this paper is double: firstly, to examine the presence of herd behavior in four MENA stock markets (the Egyptian, Jordanian, Moroccan and Tunisian markets), and secondly, to study the anchoring behavior in these markets.Design/methodology/approachThe authors employ quantile regression analysis for testing herding bias in the MENA region, following the methodology of Chiang and Zheng (2010). Regarding the evaluation of anchoring bias, the authors follow the methodology of Lee et al. (2020). The study uses daily stock index returns ranging from April 1, 2011, to July 31, 2019, as well as CAC40 and NASDAQ returns.FindingsThe authors find evidence of herding during down-market periods in the lower tail for Egypt, Jordan and Tunisia, while this bias is detected during up-market periods in the lower tail for Morocco. In addition, based on historical returns, the authors conclude that there is a momentum effect in these markets, and they are dependent on the CAC40 and NASDAQ indices.Practical implicationsThis paper confirms the findings of previous works devoted to some emerging markets such as China, Japan and Hong Kong, where anchoring and herding are considered the most important and impactful heuristic and cognitive biases in making decisions under uncertainty, particularly during down-market periods.Originality/valueThe paper contributes to the empirical literature in herding and anchoring biases for MENA countries. The absence of empirical work on the effect of these biases on stock prices in emerging markets and those of the MENA zone leads to the discussion of the impact of psychological biases on these of markets.","PeriodicalId":44440,"journal":{"name":"China Finance Review International","volume":null,"pages":null},"PeriodicalIF":8.2,"publicationDate":"2023-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41418722","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}