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金融研究  2024, Vol. 530 Issue (8): 58-76    
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经济政策不确定性、国家宏观风险与国际证券投资
杨娇辉, 王伟, 冯云
中山大学国际金融学院,广东珠海 519082;
中山大学岭南学院,广东广州 510275;
国家开发银行湖北省分行,湖北武汉 430062
Economic Policy Uncertainty, Country Risks and Foreign Portfolio Investment
YANG Jiaohui, WANG Wei, FENG Yun
International School of Business & Finance, Sun Yat-Sen University;
Lingnan College, Sun Yat-Sen University;
China Development Bank Hubei Branch
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摘要 本文基于2001—2019年22个资金来源地对91个投资目的地双边国际证券投资头寸数据,使用跨境金融资产交易引力模型,实证研究资金来源地经济政策不确定性对国际证券投资的影响。研究发现,资金来源地经济政策不确定性的增加不但会显著提高该国国际证券投资规模,而且还可能会导致该国国际证券投资更多地分布到宏观风险较高但是和本国相关系数较小的目的地,以对冲国内资产风险。该研究结论在使用经过估值调整的FPI数据、使用不同维度的宏观风险子指标、缓解模型内生性问题等一系列检验中保持稳健。在进一步的研究中,本文考察了资金来源地是否爆发系统性银行危机、资金来源地与资金目的地之间的信息不对称、全球金融市场不确定性等,发现上述不确定性对国际证券投资的影响均与经济政策不确定性不同。本文的研究结论对我国的跨境证券投资具有启示意义。
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杨娇辉
王伟
冯云
关键词:  经济政策不确定性  国家宏观风险  国际证券投资    
Summary:  Since 2015, alongside the continual growth of China's Foreign Portfolio Investment (FPI) assets, there has been a greater share directed toward bond and equity assets in developing economies with high macroeconomic risks. Concurrently, China's Economic Policy Uncertainty (EPU) Index, as documented by Baker et al. (2016), rose sharply from 166 in January 2015 to 852 in June 2019, largely due to domestic and international factors such as the China-US economic and trade consultayions and real estate market volatility. Although the index later declined, it remained relatively high at 513 by December 2022. This raises a crucial question: Is the observed shift in China's FPI assets closely correlated with rising economic policy uncertainty?
This study investigates the effects of economic policy uncertainty in source countries on its FPI positions and their geographic distribution. Using data on equity and bond FPI positions from 22 source countries and 91 destination countries, drawn from the CPIS database covering the period 2001 to 2019. Economic policy uncertainty in source countries is measured using the Economic Policy Uncertainty Index (Baker et al., 2016), while country risks in destination countries are assessed using indicators from the EIU Country Risk Model. To enrich the empirical analysis, the study incorporates an interaction term between the source country's economic policy uncertainty and the destination country risks into a gravity model framework, which is designed to address cross-border financial asset transactions.
The empirical findings reveal that FPI generally rises in response to increasing economic policy uncertainty in the source country. Specifically, a 1% rise in economic policy uncertainty leads to a 1.245% increase in equity FPI (standardized by GDP) and a 0.691% increase in bond FPI. However, when the interaction term between the source country's economic policy uncertainty and the destination country risks is introduced, the regression results show that the coefficient for the destination country risks is significantly negative, while the interaction term's coefficient is significantly positive. This suggests that as the source country's economic policy uncertainty increases, investors become less risk-averse toward the macroeconomic risks in the destination countries for FPI. These results remain robust across various tests, including those using valuation-adjusted FPI data, different measures of destination country risks, and addressing potential endogeneity issues.
In further analysis, the study explores the differential effects of various forms of uncertainties—namely, the source country's economic policy uncertainty, systemic banking crises, information asymmetry between the source and destination countries, and global financial market uncertainty—on FPI. The results indicate that only an increase in the source country's economic policy uncertainty correlates with a higher proportion of FPI and a greater allocation to destination countries with elevated risks.
The contributions of this study can be summarized in three key areas. First, while prior research has primarily examined whether the source country's economic policy uncertainty affects the overall scale of international investment or how destination risks impact investment inflows, without considering how changes in the source country's economic policy uncertainty shape investors' attitudes toward destination risks. This study finds that increases in the source country's economic policy uncertainty significantly raise investors' tolerance for macroeconomic risks in destination countries. In other words, although international investors generally avoid high-risk destinations, their level of risk aversion fluctuates in response to changes in the source country's economic policy uncertainty.
Second, existing research has rarely examined how uncertainty influences financial asset allocation, with most studies focusing on bank loans. However, Foreign Direct Investment (FDI) and bank loans are closely tied to productive investment, whereas cross-border securities investment (FPI) is primarily a financial asset. Thus, the impact of economic policy uncertainty on FPI differs from that on other forms of capital. This study provides empirical evidence on how the source country's economic policy uncertainty affects FPI.
Third, traditional gravity models used to analyze bilateral financial asset transactions tend to emphasize source country, destination country, and bilateral variables, often overlooking the interaction between source and destination factors. By introducing interaction terms between source and destination country factors, this study expands the analytical framework of gravity model, demonstrating that the geographical distribution of financial assets is indeed shaped by the interaction between source and destination country factors.
Keywords:  Economic Policy Uncertainty    Country Risks    Foreign Portfolio Investment
JEL分类号:  F21   F31   F36  
基金资助: * 本文感谢广东省自然科学基金(2023A1515030288、2021A1515011698、2024A1515012686)和国家社会科学基金(22BJL105)的资助。感谢第十三届《金融研究》论坛点评专家和匿名审稿人的宝贵意见,文责自负。
通讯作者:  王 伟,经济学博士,副教授,中山大学岭南学院, E-mail:wangw48@mail.sysu.edu.cn.   
作者简介:  杨娇辉,经济学博士,副教授,中山大学国际金融学院,E-mail:yangjiaoh@mail.sysu.edu.cn.
冯 云,管理学硕士, 国家开发银行湖北省分行, E-mail:2624218539@qq.com.
引用本文:    
杨娇辉, 王伟, 冯云. 经济政策不确定性、国家宏观风险与国际证券投资[J]. 金融研究, 2024, 530(8): 58-76.
YANG Jiaohui, WANG Wei, FENG Yun. Economic Policy Uncertainty, Country Risks and Foreign Portfolio Investment. Journal of Financial Research, 2024, 530(8): 58-76.
链接本文:  
http://www.jryj.org.cn/CN/  或          http://www.jryj.org.cn/CN/Y2024/V530/I8/58
[1]谭小芬、李兴申和苟琴,2022,《全球投资者国别风险情绪对跨境股票资本流动的影响》,《金融研究》第6期,第153~170页。
[2]谭小芬和左振颖,2020,《经济政策不确定性对跨境银行资本流出的影响》,《世界经济》第5期,第73~96页。
[3]王伟、杨娇辉和汪玲,2018,《国家风险如何影响双边债券类国际资产组合投资》,《经济学(季刊)》第18卷第1期,第71~98页。
[4]Aggarwal, R., C. Kearney and B. Lucey, 2012, “Gravity and Culture in Foreign Portfolio Investment”, Journal of Banking & Finance, 36(2), pp.525~538.
[5]Alfaro, L., S. Kalemli-Ozcan and V. Volosovych, 2008, “Why Doesn't Capital Flow from Rich to Poor Countries? An Empirical Investigation”, The Review of Economics and Statistics, 90(2), pp.347~368.
[6]Baker, S. R., N. Bloom and S. J. Davis, 2016, “Measuring Economic Policy Uncertainty”, The Quarterly Journal of Economics, 131(4), pp.1593~1636.
[7]Bénassy‐Quéré, A., M. Coupet and T. Mayer, 2007, “Institutional Determinants of Foreign Direct Investment”, World Economy, 30(5), pp.764~782.
[8]Bénétrix, A. S., P. R. Lane and J. C. Shambaugh, 2015, “International Currency Exposures, Valuation Effects and the Global Financial Crisis”, Journal of International Economics, 96, pp. S98~S109.
[9]Berger, A. N., O. Guedhami, H. H. Kim and X. Li ,2020, “Economic Policy Uncertainty and Bank Liquidity Hoarding”, Journal of Financial Intermediation, 100893.
[10]Bernanke, B. S.,1983, “Irreversibility, Uncertainty, and Cyclical Investment”, The Quarterly Journal of Economics, 98(1), pp.85~106.
[11]Biswas, S. and W. Zhai, 2021, “Economic Policy Uncertainty and Cross-border Lending”, Journal of Corporate Finance, 67, 101867.
[12]Bloom, N., 2009, “The Impact of Uncertainty Shocks”, Econometrica, 77(3), pp.623~685.
[13]Caballero, R. J. and A. Krishnamurthy, 2008, “Collective Risk Management in a Flight to Quality Episode”, The Journal of Finance, 63(5), pp.2195~2230.
[14]Cerutti, E., S. Claessens and A. K. Rose, 2019, “How Important is the Global Financial Cycle? Evidence from capital flows”, IMF Economic Review, 67(1), pp.24~60.
[15]Cezar, R., T. Gigout and F. Tripier, 2020, “Cross-border Investments and Uncertainty: Firm-level Evidence”, Journal of International Money and Finance, 108, 102159.
[16]Choi, S. and D. Furceri, 2019, “Uncertainty and Cross-border Banking Flows”, Journal of International Money and Finance, 93, pp.260~274.
[17]Fernández, A., M. W. Klein, A. Rebucci, M. Schindler and M. Uribe, 2016, “Capital Control Measures: A New Dataset”, IMF Economic Review, 64(3), pp.548~574.
[18]Forbes, K. J. and F. E. Warnock, 2012, “Capital Flow Waves: Surges, Stops, Flight, and Retrenchment”, Journal of International Economics, 88(2), pp. 235~251.
[19]Giofré, M., 2014, “Domestic Investor Protection and Foreign Portfolio Investment”, Journal of Banking & Finance, 46, pp.355~371.
[20]Gourinchas, P. O. and H. Rey, 2014, “External Adjustment, Global Imbalances, Valuation Eeffects”, Handbook of International Economics, 4, pp. 585~645.
[21]Jens, C. E., 2017, “Political Uncertainty and Investment: Causal Evidence from US Gubernatorial Elections”, Journal of Financial Economics, 124(3), pp.563~579.
[22]Julio, B. and Y. Yook, 2016, “Policy Uncertainty, Irreversibility, and Cross-border Flows of Capital”, Journal of International Economics, 103, pp.13~26.
[23]Laeven, L. and F. Valencia, 2020, “Systemic Banking Crises Database II”, IMF Economic Review, 68(2), pp.307~361.
[24]Lane, P. R. and G. M. Milesi-Ferretti, 2008, “International Investment Patterns”, The Review of Economics and Statistics, 90(3), pp.538~549.
[25]Lane, P. R. and G. M. Milesi-Ferretti, 2018, “The External Wealth of Nations Revisited: International Financial Integration in the aftermath of the Global Financial Crisis”, IMF Economic Review, 66, pp. 189~222.
[26]Lucas, R. E., 1990, “Why Doesn't Capital Flow from Rich to Poor Countries?”, The American Economic Review, 80(2), pp.92~96.
[27]Miranda-Agrippino, S. and H. Rey, 2020, “US Monetary Policy and the Global Financial Cycle”, The Review of Economic Studies, 87(6), pp.2754~2776.
[28]Miranda-Agrippino, S. and H. Rey, 2022, “The Global Financial Cycle”, Handbook of International Economics, 6, pp.1~43.
[29]Papaioannou, E., 2009, “What Drives International Financial Flows? Politics, Institutions and Other Determinants”, Journal of Development Economics, 88(2), pp.269~281.
[30]Pástor, L. and P. Veronesi, 2013, “Political Uncertainty and Risk Premia”, Journal of Financial Economics, 110(3), pp.520~545.
[31]Portes, R. and H. Rey, 2005, “The Determinants of Cross-border Equity Flows”, Journal of International Economics, 65(2), pp.269~296.
[32]Scheubel, B., L. Stracca,and C. Tille, 2019, “The Global Financial Cycle and Capital Flow Episodes: A Wobbly Link?”, CESifo Working Papers, No. 7967.
[33]Solnik, B. and L. Zuo, 2012, “A Global Equilibrium Asset Pricing Model with Home Preference”, Management Science, 58(2), pp.273~292.
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