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金融研究  2020, Vol. 475 Issue (1): 9-27    
  本期目录 | 过刊浏览 | 高级检索 |
人民币预期汇率变动与虚假贸易——基于套汇视角的分析
卢冰, 王雅琦, 洪圣杰
清华大学五道口金融学院,北京 100083;中央财经大学金融学院,北京 100081;清华大学经济管理学院,北京 100084
The Forward Exchange Rate and False Trade: Analysis from a Currency Arbitrage Perspective
LU Bing, WANG Yaqi, HONG Shengjie
PBC School of Finance, Tsinghua University;School of Finance, Central University of Finance and Economics;School of Economics and Management, Tsinghua University
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摘要 虚假贸易对国内经济秩序造成不良影响,受到了密切关注。本文基于2010—2012年中国大陆到香港的月度出口数据,实证检验了人民币汇率出现单边预期以及资本管制的大背景下,企业出于套汇动机而进行的虚假贸易行为。本文发现远期汇率升值显著促进了产品出口额增加,并且这一现象对于高价值重量比的产品更加明显。异质性分析表明虚假贸易行为更倾向于出现在加工贸易占比较高的行业。2012年汇率改革增大了人民币汇率的波动幅度,增加了企业跨境套利的成本,汇改之后企业的虚假贸易行为得到明显抑制。此外,远期汇率升值同时提高了虚假出口占总出口的比重。本文从一个新的视角研究了我国的虚假贸易问题,并对打击虚假贸易活动提出相关建议。
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卢冰
王雅琦
洪圣杰
关键词:  远期汇率  虚假贸易  套汇  价值重量比    
Summary:  Since the exchange rate reform was implemented in 2005, the RMB exchange rate has continually appreciated. Following the reform, especially during the long period after the financial crisis, the market formed strong expectations of the appreciation of the RMB (Yao, 2008; Zhang, 2010). In this context, many firms hope to convert overseas currencies into RMB to enjoy the gains from the continuing appreciation of the RMB. This type of trading is called currency arbitrage (Zhang, 2010). However, due to China's capital controls (Ma & Mccauley, 2008), hot money cannot flow into China through legal channels. Thus, firms need to engage in a series of activities to evade the tight capital controls. One of the most commonly used channels is false trade, whereby firms manipulate the value of imports or exports, or even completely falsify their transactions (Gunter, 2004; Ferrantino et al., 2012; Kellenberg & Levinson, 2014; Lin et al., 2018). Although false trade has aroused significant attention at the policy level in China, few studies have quantitatively examined false trade, especially in terms of the traders' motivations, because false trades are difficult to detect and measure. In this paper, we examine the false trade activity of Chinese exporters from a currency arbitrage perspective.
In this paper, based on the HS six-digit product level export data from mainland China to Hong Kong during 2010-2012, we examine the false trade behavior of exporters seeking to evade the capital controls and profit from the appreciating RMB, and provide evidence for the motivation to engage in currency arbitrage. We find that the expected appreciation of the RMB significantly promotes the increase in the export value of products. For products with a higher value to weight ratio, we find that the exports are more sensitive to the appreciation of the RMB forward exchange rate. This finding strongly supports the false trade hypothesis. Firms do not randomly select products to export when they engage in abnormal trade to bypass capital control. Rather, to save transportation costs, they try to make their goods as valuable as possible given a fixed weight. Therefore, firms are likely to choose products with a high value to weight ratio when they engage in false trades. Our heterogeneous tests indicate that false trades are more likely to occur among products with a higher share of processing trade. In addition, we use the 2012 exchange rate reform as an exogenous shock to further verify the currency arbitrage hypothesis. The exchange rate reform in 2012 increased the volatility of the RMB exchange rate and thus increased the cost of cross-border currency arbitrage. We find that the false trade practices of firms are significantly reduced after the exchange rate reform.
Our paper makes three main contributions to the literature. First, studies have pointed out that the appreciation of the RMB exchange rate depresses exports. However, we find that when Chinese exporters expect the RMB exchange rate to appreciate, they increase the value of their exports to Hong Kong to transfer hot money to mainland China through false trades and engage in speculative arbitrage. Thus, this paper provides a new perspective for explaining that the surge in mainland China's exports to Hong Kong against the background of the continued appreciation of the RMB exchange rate following the exchange rate reform in 2005. Second, we further quantify the increase in the share of false trade in relation to the total exports as a result of currency arbitrage, and find that currency arbitrage is an important driver of the increase in the share of false trade. Third, to identify false trade behavior, we calculate the value to weight ratio of HS six products and find that when the forward exchange rate appreciates, the export value of products with a high value-to-weight ratio increases.
Our findings have several policy implications. First, customs supervision departments should continue to detect false trade activity, strengthen the customs audit mechanism, and pay more attention to products with a high value to weight ratio, such as electrical products and precious metals. Second, our heterogeneous tests show that false trades are more likely to occur in products with a higher share of processing trade. Therefore, the customs department should impose stricter regulations on the transactions of processing trade. Lastly, China should further promote the marketization reform of the RMB exchange rate to increase the cross-border arbitrage costs for firms, and restrict the false trade activities of exporting firms.
Keywords:  Forward Exchange Rate    False Trade    Currency Arbitrage    Value to Weight Ratio
JEL分类号:  F31   F14   L60  
基金资助: * 本文感谢国家自然科学基金青年项目(项目号:71703078,71603300)、国家自然科学基金应急管理项目(项目号:71850005)以及中央财经大学青蓝科研创新团队的资助
通讯作者:  王雅琦,经济学博士,副教授,中央财经大学金融学院、全球经济与可持续发展研究中心,E-mail:yakisunny@126.com.   
作者简介:  卢 冰,博士研究生,清华大学五道口金融学院、国际金融与经济研究中心,E-mail:lub.16@pbcsf.tsinghua.edu.cn.洪圣杰,经济学博士,助理教授,清华大学经济管理学院、中国经济研究中心,E-mail:hongshj@sem.tsinghua.edu.cn.
引用本文:    
卢冰, 王雅琦, 洪圣杰. 人民币预期汇率变动与虚假贸易——基于套汇视角的分析[J]. 金融研究, 2020, 475(1): 9-27.
LU Bing, WANG Yaqi, HONG Shengjie. The Forward Exchange Rate and False Trade: Analysis from a Currency Arbitrage Perspective. Journal of Financial Research, 2020, 475(1): 9-27.
链接本文:  
http://www.jryj.org.cn/CN/  或          http://www.jryj.org.cn/CN/Y2020/V475/I1/9
[1]李宏彬、马弘、熊艳艳和徐嫄,2011,《人民币汇率对企业进出口贸易的影响——来自中国企业的实证研究》,《金融研究》第2期,第1~16页。
[2]梅冬州、雷文妮和崔小勇,2015,《出口退税的政策效应评估——基于金融加速器模型的研究》,《金融研究》第4期,第50~65页。
[3]施炳展和张雅睿,2016,《人民币双边事实汇率制度与中国出口增长》,《金融研究》第8期,第1~18页。
[4]汪小勤和陈俊,2013,《我国资本外逃规模估算研究:1982-2011》,《经济学动态》第6期,第87~93页。
[5]吴海英,2014,《虚假出口:检测、估计和政策启示》,《金融评论》第6期,第36~46页。
[6]吴海英和徐奇渊,2014,《中国出口真实规模的估计》,《东南大学学报(哲学社会科学版)》第6期,第34~39页。
[7]许家云、佟家栋和毛其淋,2015,《人民币汇率变动、产品排序与多产品企业的出口行为——以中国制造业企业为例》,《管理世界》第2期,第17~31页。
[8]姚枝仲,2008,《真实贸易顺差,还是热钱?》,《国际经济评论》第4期,第28~31页。
[9]余淼杰和王雅琦,2015,《人民币汇率变动与企业出口产品决策》,《金融研究》第4期,第19~33页。
[10]余永定和肖立晟,2017,《解读中国的资本外逃》,《国际经济评论》第3期,第97~115页。
[11]张斌,2010,《人民币升值预期、短期资本流动及其影响》,《国际金融》第4期,第55~60页。
[12]张明,2011,《中国面临的短期国际资本流动:不同方法与口径的规模测算》,《世界经济》第2期,第39~56页。
[13]Aizenman, J., 2004, “Financial Opening and Development: Evidence and Policy Controversies”, American Economic Review, 94(2): 65~70.
[14]Aizenman, J., 2008, “On the Hidden Links between Financial and Trade Opening”, Journal of International Money and Finance, 27(3): 372~386.
[15]Aizenman, J., and I. Noy, 2009, “Endogenous Financial and Trade Openness”, Review of Development Economics, 13(2): 175~189.
[16]Bruno, V., and H. S. Shin, 2017, “Global Dollar Credit and Carry Trades: a Firm-level Analysis”, The Review of Financial Studies, 30(3): 703~749.
[17]Fan, H., Y. A. Li, and C. C. Zhao, 2018, “Margins of Imports, Forward-looking Firms, and Exchange Rate Movements”, Journal of International Money and Finance, 81: 185~202.
[18]Ferrantino, M. J., X. Liu, and Z. Wang, 2012, “Evasion Behaviors of Exporters and Importers: Evidence from the US-China Trade Data Discrepancy”, Journal of International Economics, 86(1): 141~157.
[19]Fisman, R., and S. J. Wei, 2004, “Tax Rates and Tax Evasion: Evidence from ‘Missing Imports' in China”, Journal of Political Economy, 112(2): 471~496.
[20]Fisman, R., P. Moustakerski, and S. J. Wei, 2008, “Outsourcing Tariff Evasion: A New Explanation for Entrept Trade”, Review of Economics and Statistics, 90(3): 587~592.
[21]Gunter, F. R., 2004, “Capital Flight from China: 1984-2001”, China Economic Review, 15(1): 63~85.
[22]Kellenberg, D., and A. Levinson, 2014, “Beyond Tax Evasion and Misreported Trade: Global Evidence on Trade Agreements, Accounting Standards, and Organized Crime”, Working Paper.
[23]Li, Y. A., and C. C. Zhao, 2016, “Price Adjustment to Exchange Rates and Forward‐looking Exporters: Evidence from USA-China Trade”, Review of International Economics, 24(5): 1023~1049.
[24]Lin, C. H., 2017, “Tariff Evasion in Machinery Production Networks: Evidence from East Asia”, Economic Modelling, 70: 115~126.
[25]Lin, S., and H. Ye, 2017, “FDI, Trade credit, and Transmission of Global Liquidity Shocks: Evidence from Chinese Manufacturing Firms”, Review of Financial Studies, 31(1): 206~238.
[26]Lin, S., J. Xiao, and H. Ye, 2018, “Disguised Carry Trade and the Transmission of Global Liquidity Shocks: Evidence from China's Goods Trade Data”, Working Paper.
[27]Liu, X., 2013, “Tax Avoidance through Re-imports: The Case of Redundant Trade”, Journal of Development Economics, 104: 152~164.
[28]Liu, X., H. Shi, and M. Ferrantino, 2016, “Tax Evasion through Trade Intermediation: Evidence from Chinese Exporters”, International Review of Economics & Finance, 42: 518~535.
[29]Wang, J., and X. Wang, 2015, “Benefits of Foreign Ownership: Evidence from Foreign Direct Investment in China”, Journal of International Economics, 97(2): 325~338.
[30]Yang, D., 2008, “Can Enforcement Backfire? Crime Displacement in the Context of Customs Reform in the Philippines”, Review of Economics and Statistics, 90(1): 1~14.
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