Explaining bond returns in heterogeneous agent models: The importance of higher-order moments

被引:1
|
作者
Zhang, HH [1 ]
机构
[1] Carnegie Mellon Univ, Grad Sch Ind Adm, Pittsburgh, PA 15213 USA
来源
关键词
heterogeneous agents; borrowing constraints; higher-order moments; nonlinear dynamics;
D O I
10.1016/S0165-1889(99)00043-3
中图分类号
F [经济];
学科分类号
02 ;
摘要
This paper examines the higher-order moments and nonlinear dynamic properties of discount bond returns in an equilibrium heterogeneous agent economy with incomplete markets and borrowing constraints. We find that while it is possible for the economic model to match the mean and variance of the observed bond returns by choosing the parameters such that the borrowing constraint is binding sufficiently often, the implied higher-order moments are at odds with the data. To match the higher-order moments, one needs a model in which the borrowing constraint is binding at times but not too often. In this case, one does not match the first two moments. Using the seminonparametric density estimation and the nonlinear impulse response analysis, we find that our economic model can mimic the asymmetric effect of return shocks on conditional volatility as documented for the real bond returns. However, the economic model has difficulty replicating the dynamic properties observed in the data when the parameter values are chosen to match the first two moments of the observed bond returns. (C) 2000 Elsevier Science B.V. All rights reserved. JEL classification: C14; E44; G12.
引用
收藏
页码:1381 / 1404
页数:24
相关论文
共 50 条
  • [31] Higher-order task models
    Dittmar, A
    Forbrig, P
    INTERACTIVE SYSTEMS: DESIGN, SPECIFICATION, AND VERIFICATION, 2003, 2844 : 187 - 202
  • [32] Mixture models with higher order moments
    Bosdogianni, P
    Petrou, M
    Kittler, J
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 1997, 35 (02): : 341 - 353
  • [33] Computing Longitudinal Moments for Heterogeneous Agent Models
    Ocampo, Sergio
    Robinson, Baxter
    COMPUTATIONAL ECONOMICS, 2024, 64 (03) : 1891 - 1912
  • [34] Realized higher-order moments spillovers across cryptocurrencies
    Apergis, Nicholas
    JOURNAL OF INTERNATIONAL FINANCIAL MARKETS INSTITUTIONS & MONEY, 2023, 85
  • [35] Calculation of Higher-Order Moments in the Atmospheric Boundary Layer
    B. B. Ilyushin
    Journal of Engineering Thermophysics, 2018, 27 : 339 - 344
  • [36] Estimating Higher-Order Moments of Nonlinear Time Series
    Gluhovsky, Alexander
    Agee, Ernest
    JOURNAL OF APPLIED METEOROLOGY AND CLIMATOLOGY, 2009, 48 (09) : 1948 - 1954
  • [37] Tails of higher-order moments with dominatedly varying summands∗
    Remigijus Leipus
    Jonas Šiaulys
    Lithuanian Mathematical Journal, 2019, 59 : 389 - 407
  • [38] Fault Tolerant Algorithm of Higher-order Method of Moments
    Chen Y.
    Lin Z.
    Zhang Y.
    Zhao X.
    Lin, Zhongchao (zclin@xidian.edu.cn), 2017, Science Press (39): : 2245 - 2251
  • [39] Calculation of Higher-Order Moments in the Atmospheric Boundary Layer
    Ilyushin, B. B.
    JOURNAL OF ENGINEERING THERMOPHYSICS, 2018, 27 (03) : 339 - 344