Please wait a minute...
金融研究  2022, Vol. 504 Issue (6): 36-54    
  本期目录 | 过刊浏览 | 高级检索 |
中国自然利率之谜与债券市场定价——基于宏观金融模型视角
王博, 陈开璞
南开大学金融学院,天津 300350
The Natural Interest Rate Puzzle in China and Bond Market Pricing: Insights from A Macro-finance Model
WANG Bo, CHEN Kaipu
School of Finance, Nankai University
下载:  PDF (1160KB) 
输出:  BibTeX | EndNote (RIS)      
摘要 关于发达国家的研究普遍存在使用标准金融模型估计的自然利率与宏观方法估计的自然利率不相符的“自然利率之谜”现象。本文分别使用金融模型和宏观半结构模型估计中国的自然利率,发现同样存在“自然利率之谜”现象。我们通过构建一致性的宏观金融模型,采用宏观经济变量和收益率曲线信息共同估计自然利率来解决这一问题。此外,寻找债券收益率的影响因子是债券定价研究的重要方面,宏观与金融模型的结合是债券定价研究的重要趋势。宏观金融理论表明,趋势通货膨胀和自然利率是收益率曲线的基本决定因素,在宏观金融框架下,我们进一步研究了自然利率对债券收益率的影响。研究结果表明:(1)宏观金融模型能很好地解决中国“自然利率之谜”问题,宏观金融模型估计得到的自然利率略低于宏观半结构模型的结果。(2)自然利率对债券收益率有显著影响,模型中增加自然利率信息能够提高对不同期限国债收益率的拟合优度。本文对进一步加强自然利率影响因素研究,运用一致性宏观金融模型得到的自然利率信息优化货币政策效果提供了参考。
服务
把本文推荐给朋友
加入引用管理器
E-mail Alert
RSS
作者相关文章
王博
陈开璞
关键词:  自然利率  宏观金融模型  自然利率之谜  货币政策传导    
Summary:  The natural interest rate is an important concept in macroeconomics and finance, as it provides a benchmark for calibrating the stance of monetary policy. It also affects the price of financial assets and the allocation of large categories of assets by affecting the discount rate in the financial market. However, the natural interest rate is unobservable and is thus estimated in the macroeconomic literature and the financial literature using various methods. An implicit assumption of the finance-based approach is that the financial market is efficient . This implies that additional economic and financial information is needed to jointly predict future trends in interest rates and estimate the natural interest rate. Macro-based estimates of the natural interest rate are heavily dependent on the assumptions of the models used, which often omit important variables. The discrepancy between the natural interest rate estimated using financial methods and that estimated using macroeconomic methods is termed the “natural interest rate puzzle.” This study finds key evidence for such a discrepancy in China and this discrepancy could lead to disturbances in the formulation of monetary policy, which requires a more accurate estimate of the natural interest rate than those that are currently used.
In this study, we estimate China's natural interest rate using a financial model and a macroeconomic semi-structural model, and confirm that China also faces the natural interest rate puzzle. We solve the puzzle by constructing a consistent macro-finance model that estimates the natural interest rate by utilizing both macroeconomic variables and yield curve information. The interest rate and the natural interest rate represent an important intersection of macroeconomics and finance research. Specifically, not only do the yield curve and other financial variables have an important impact on the estimation of the natural interest rate, but the accurate estimation of the natural interest rate has an important impact on asset pricing. Identifying the factors influencing bond yields and combining macroeconomics and finance factors are important trends in bond pricing research. Macro-finance theory shows that the trend of inflation and the natural interest rate are the basic determinants of the yield curve. Under the macro-finance framework, we further study the impact of the natural interest rate on bond pricing. We obtain yield data from the CCDC, and use the quarterly values of monthly year-on-year CPI data as the inflation rate. We take the first quarter of 2011 as the base period, and obtain the value of real GDP from the nominal GDP and GDP year-on-year growth rate and quarter-on-quarter growth rate, which are logarithmically processed and seasonally adjusted by X-13. The data are acquired from the Wind Economic Database and CEIC database.
The results lead to two conclusions. (1) The macro-finance model could solve China's natural interest rate puzzle, and estimates a lower natural interest rate than that estimated by the macroeconomic model. (2) The natural interest rate has a significant impact on bond yields. Adding the natural interest rate can improve the goodness-of-fit of bond yields to the yield curve across a range of maturities.
An important contribution we make in this study is to apply the framework of Brand et al. (2020) to solve a theoretical problem—the natural interest rate puzzle—and expand the application of this method by incorporating fundamental information on China's interest rate liberalization reform. We also empirically test the important role of the consistent natural interest rate that we estimate in describing the dynamics of the bond yield.
Keywords:  Natural Interest Rate    Macro-Finance Model    Natural Interest Rate Puzzle    Monetary Policy Transmission
JEL分类号:  E44 E43 G12  
基金资助: * 本文感谢国家自然科学基金面上项目“外部冲击对中国金融稳定的影响机理:不确定性与公共事件冲击视角”(72073076)、国家自然科学基金面上项目“基于大数据的中国金融系统性风险测度及其演化规律研究”(71873070)、南开大学文科基金重点项目“金融双向开放、国际资本流动与系统性风险防范(ZB21BZ0103)”的资助。感谢匿名审稿人的宝贵意见,文责自负。
通讯作者:  陈开璞,博士研究生,南开大学金融学院,E-mail:1120180796@mail.nankai.edu.cn.   
作者简介:  王博,经济学博士,教授,南开大学金融学院,E-mail:nkwangbo@nankai.edu.cn.
引用本文:    
王博, 陈开璞. 中国自然利率之谜与债券市场定价——基于宏观金融模型视角[J]. 金融研究, 2022, 504(6): 36-54.
WANG Bo, CHEN Kaipu. The Natural Interest Rate Puzzle in China and Bond Market Pricing: Insights from A Macro-finance Model. Journal of Financial Research, 2022, 504(6): 36-54.
链接本文:  
http://www.jryj.org.cn/CN/  或          http://www.jryj.org.cn/CN/Y2022/V504/I6/36
[1] 金中夏和洪浩,2013,《开放经济条件下均衡利率形成机制——基于动态随机一般均衡模型(DSGE)对中国利率变动规律的解释》,《金融研究》第7期,第46~60页。
[2] 李宏瑾、苏乃芳和洪浩,2016,《价格型货币政策调控中的实际利率锚》,《经济研究》第1期,第42~54页。
[3] 李宏瑾和苏乃芳,2016,《货币理论与货币政策中的自然利率及其估算》,《世界经济》第12期,第22~46页。
[4] 马勇和李镏洋,2015,《金融变量如何影响实体经济:基于中国的实证分析》,《金融评论》第1期,第34~50+124~125页。
[5] 单强、吕进中、王伟斌和黄宁,2020,《中国化泰勒规则的构建与规则利率的估算——基于考虑金融周期信息的潜在产出与自然利率的再估算》,《金融研究》第9期,第20~39页。
[6] 尚玉皇、郑挺国和夏凯,2015,《宏观因子与利率期限结构:基于混频Nelson-Siegel模型》,《金融研究》第6期,第14~29页。
[7] 王博和陈开璞,2019,《金融周期对自然利率的影响:金融失衡视角》,《经济学动态》第10期,第38~49页。
[8] 徐忠和贾彦东,2019,《自然利率与中国宏观政策选择》,《经济研究》第6期,第22~39页。
[9] 徐忠和李宏瑾,2019,《货币价格调控模式下政策目标利率的期限选择》,《国际金融研究》第3期,第3~12页。
[10] 杨炳铎和汤教泉,2019,《中国债券收益率的可预测性检验》,《系统工程理论与实践》第4期,第970~985页。
[11] 易纲,2021,《中国的利率体系与利率市场化改革》,《金融研究》第9期, 第1~11页。
[12] 朱超和易祯,2020,《自然利率的人口结构视角解释》,《经济学动态》第6期,第30~46页。
[13] Adrian, Tobias, Richard K. Crump, and Emanuel Moench. 2013. “Pricing the Term Structure with Linear Regressions”,Journal of Financial Economics, 110(1): 110~138.
[14] Bauer, Michael D., and Glenn D. Rudebusch. 2020. “Interest Rates under Falling Stars”, American Economic Review, 110(5), 1316~54.
[15] Bomfim, A. N. 2001. “Measuring Equilibrium Real Interest Rates: What can We Learn from Yields on Indexed Bonds?” The Journal of Fixed Income, 11(3), 61~69.
[16] Brand, Claus, Gavin Goy, and Wolfgang Lemke. 2020. “Natural Rate Chimera and Bond Pricing Reality” ,DNB Working Paper No.666.
[17] Davis, Josh, Cristian Fuenzalida, and Alan M. Taylor. 2019. “The Natural Rate Puzzle: Global Macro Trends and the Market-Implied R” ,NBER Working Papers No. w26560.
[18] Laubach, T., and J. C. Williams. 2003. “Measuring the Natural Rate of Interest”, Review of Economics and Statistics 85(4), 1063~1070.
[19] Li, Canlin, Linlin Niu, and Gengming Zeng. 2011. “A Generalized Arbitrage-Free Nelson-Siegel Term Structure Model with Macroeconomic Fundamentals”, Available at SSRN: https://ssrn.com/abstract=1787262.
[20] Myrdal G. 1939. “Monetary Equilibrium”. London: W. Hodge Press.
[21] Svensson, Lars E.O. 1994. “Estimating and Interpreting Forward Interest Rates: Sweden 1992-1994”, NBER Working Papers No.4871.
[22] Wicksell, K. 1898. “Interest and Prices”, Mcmillan, London, 1936. Translation of the 1898 edition by R. F. Kahn.
[1] 庄毓敏, 张祎. 流动性覆盖率监管会影响货币政策传导效率吗?——来自中国银行业的证据[J]. 金融研究, 2021, 497(11): 1-21.
[2] 单强, 吕进中, 王伟斌, 黄宁. 中国化泰勒规则的构建与规则利率的估算——基于考虑金融周期信息的潜在产出与自然利率的再估算[J]. 金融研究, 2020, 483(9): 20-39.
[3] 罗煜, 张祎, 朱文宇. 基于银行流动性管理视角的宏观审慎与货币政策协调研究[J]. 金融研究, 2020, 484(10): 19-37.
[4] 崔嵬. 审慎推进我国银行间债券市场两类回购改革[J]. 金融研究, 2018, 456(6): 47-55.
[5] 战明华, 李欢. 金融市场化进程是否改变了中国货币政策不同传导渠道的相对效应?[J]. 金融研究, 2018, 455(5): 20-36.
[6] 温信祥, 苏乃芳. 大资管、影子银行与货币政策传导[J]. 金融研究, 2018, 460(10): 38-54.
[1] 王曦, 朱立挺, 王凯立. 我国货币政策是否关注资产价格?——基于马尔科夫区制转换BEKK多元GARCH模型[J]. 金融研究, 2017, 449(11): 1 -17 .
[2] 刘勇政, 李岩. 中国的高速铁路建设与城市经济增长[J]. 金融研究, 2017, 449(11): 18 -33 .
[3] 况伟大, 王琪琳. 房价波动、房贷规模与银行资本充足率[J]. 金融研究, 2017, 449(11): 34 -48 .
[4] 祝树金, 赵玉龙. 资源错配与企业的出口行为——基于中国工业企业数据的经验研究[J]. 金融研究, 2017, 449(11): 49 -64 .
[5] 陈德球, 陈运森, 董志勇. 政策不确定性、市场竞争与资本配置[J]. 金融研究, 2017, 449(11): 65 -80 .
[6] 牟敦果, 王沛英. 中国能源价格内生性研究及货币政策选择分析[J]. 金融研究, 2017, 449(11): 81 -95 .
[7] 高铭, 江嘉骏, 陈佳, 刘玉珍. 谁说女子不如儿郎?——P2P投资行为与过度自信[J]. 金融研究, 2017, 449(11): 96 -111 .
[8] 吕若思, 刘青, 黄灿, 胡海燕, 卢进勇. 外资在华并购是否改善目标企业经营绩效?——基于企业层面的实证研究[J]. 金融研究, 2017, 449(11): 112 -127 .
[9] 姜军, 申丹琳, 江轩宇, 伊志宏. 债权人保护与企业创新[J]. 金融研究, 2017, 449(11): 128 -142 .
[10] 刘莎莎, 孔高文. 信息搜寻、个人投资者交易与股价联动异象——基于股票送转的研究[J]. 金融研究, 2017, 449(11): 143 -157 .
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
版权所有 © 《金融研究》编辑部
本系统由北京玛格泰克科技发展有限公司设计开发 技术支持:support@magtech.com.cn
京ICP备11029882号-1