[1]王皓,等.中国数字经济“外循环”战略定位与路径选择[J].亚太经济,2023,No.237(02):106-113.
[2] 王皓.新发展格局下琴澳跨境电商发展的潜力与路径. 《横琴金融研究报告(2021)——粤澳合作新愿景》P354-401,李晓主编,2022,广州:广东人民出版社。
[3] 王皓.全球数字经济治理需要真正的多边主义[J].中国社会科学网刊,2022(16):120-126.
[4] Wang, H., Xu, N., Yin, H.Y., & Ji, H. (2022). The dynamic impact of monetary policy on financial stability in China after crises. Pacific-Basin Finance Journal, 101855.(SSCI, JCR Q1, IF: 4.6(2022))
[5] Wang, H., Wang, X., Yin, S., & Ji, H. (2022). The asymmetric contagion effect between stock market and cryptocurrency market. Finance Research Letters, 102345.(SSCI, JCR Q1, IF: 10.4 (2022))
[6] 王皓,等.汇率稳定助力中国—东盟经济一体化[N]. 中国社会科学报,2022-02-16(003).
[7] 王皓,等.新冠肺炎疫情下中小企业金融支持政策的评价与建议[J].吉林金融研究,2021(03):19-22.
[8] 付争,王皓.竞争还是竞合:数字金融赋能下金融包容与银行体系发展[J].国际金融研究,2021(01):65-75.
[9] Ji, H., Wang, H., Zhong, R., & Li, M. (2020). China’s liberalizing stock market, crude oil, and safe-haven assets: A linkage study based on a novel multivariate wavelet-vine copula approach. Economic Modelling, 93, 187–204.(SSCI, JCR Q1, IF: 3.875(2021))
[10] Ji, H., Wang, H., Xu, J., & Liseo, B. (2020). Dependence Structure between China’s Stock Market and Other Major Stock Markets before and after the 2008 Financial Crisis. Emerging Markets Finance and Trade, 56(11), 2608–2624.(SSCI, JCR Q1, IF: 4.859(2021))
[11] 巴里·艾肯格林,王皓.全球金融新风险与中国应对[J].东北亚论坛,2019(05):48-58+127.
[12] 王皓,等.金融危机后发达经济体非常规货币政策及影响[J].经济问题,2019(04):25-31
[13] 王皓,等.美联储货币政策正常化的溢出效应研究[J].亚太经济,2019(02):43-50.
[14] Ji, H., Wang, H., & Liseo, B. (2018). Portfolio Diversification Strategy Via Tail-Dependence Clustering and ARMA-GARCH Vine Copula Approach. Australian Economic Papers, 57(3), 265–283.(SSCI,JCR Q3,IF:1.346)
[15] 王皓.创新对外投资方式[J].东北亚论坛,2018(03):12-15+127.
[16] 查尔斯·莫里森,王皓.建立北太平洋和平制度[J].东北亚论坛,2018(01):18-21+127.
[17] Wang H., Pappadà R., Durante F., Foscolo E., A Portfolio Diversification Strategy via Tail Dependence Clustering[M]. Soft Methods for Data Science. Springer International Publishing, 2017: 511-518.(EI检索号:20163902839590)
[18] 王皓,等.对我国互联网银行信用风险管理的研究[J].金融经济,2016(08):125-126.
[19] 王皓.基于DCC-GARCH模型对日本股票市场与国际市场波动溢出效应分析[J].现代日本经济,2016,(05): 27-37.
[20] 王皓,李晓.从中日韩股票市场联动性看东北亚地区金融一体化[J].东北亚论坛,2016,(04): 72-85, 128.
[21] 王皓, 等.中日韩FTA建设与东北亚区域合作——基于中日韩三国自贸区战略的分析[J].亚太经济,2016,(04): 3-8.
[22] 王皓.韩国股票市场与世界主要股票市场的联动性研究[J].韩国研究论丛,2016,(01): 240-253.
[23] Durante F., Foscolo E., Jaworski P., & Wang H., Connectedness Measures of Spatial Contagion in the Banking and Insurance Sector[M]. Strengthening Links between Data Analysis and Soft Computing. Springer International Publishing, 2015: 217-224.(EI检索号:20150400455795)DOI: 10.1007/978-3-319-10765-3_26
[24] Durante, F., Foscolo, E., Jaworski, P., & Wang, H., (2014). A spatial contagion measure for financial time series. Expert Systems With Applications, 41(8), 4023–4034.(SSCI/SCI ,JCR Q1,IF:6.954)