Asset Growth and Stock Market Returns: A Time-Series Analysis

被引:16
|
作者
Wen, Quan [1 ]
机构
[1] Georgetown Univ, McDonough Sch Business, Washington, DC 20057 USA
关键词
Asset growth; Return predictability; Time-varying risk premium; Forecast errors; extrapolation; BOOK-TO-MARKET; CROSS-SECTION; INVESTMENT FRICTIONS; FULLY REFLECT; CASH FLOWS; SAMPLE; EXPECTATIONS; ANOMALIES; TESTS; FORECAST;
D O I
10.1093/rof/rfy018
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
I find that aggregate asset growth constructed from bottom-up data negatively predicts future market returns both in and out-of-sample and this result is robust across G7 countries. I further show that aggregate asset growth contains information about future market returns not captured by traditional macroeconomic variables and other measures of investment or growth. The forecasting ability of asset growth is strongly correlated with its propensity to predict more optimistic analyst forecasts and subsequent downward revisions, earnings surprise, and systematic errors in investors' expectations. The time-varying risk premium also appears key in explaining the documented return predictability.
引用
收藏
页码:599 / 628
页数:30
相关论文
共 50 条
  • [1] Risk-neutral skewness and stock market returns: A time-series analysis
    Li, Xiaowei
    Wu, Zhengyu
    Zhang, Hao
    Zhang, Lu
    [J]. NORTH AMERICAN JOURNAL OF ECONOMICS AND FINANCE, 2024, 70
  • [2] Analysis of cyclical behavior in time series of stock market returns
    Stratimirovic, Djordje
    Sarvan, Darko
    Miljkovic, Vladimir
    Blesic, Suzana
    [J]. COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION, 2018, 54 : 21 - 33
  • [3] Systematic illiquidity, characteristic illiquidity, and stock returns: Time-series analysis
    Ben Soltane, Hela
    Naoui, Kamel
    Alshammari, Abdulhamid
    [J]. INTERNATIONAL JOURNAL OF ADVANCED AND APPLIED SCIENCES, 2022, 9 (02): : 72 - 80
  • [4] Book-to-market, dividend yield, and expected market returns: A time-series analysis
    Kothari, SP
    Shanken, J
    [J]. JOURNAL OF FINANCIAL ECONOMICS, 1997, 44 (02) : 169 - 203
  • [5] Time-series momentum in nearly 100 years of stock returns
    Lim, Bryan Y.
    Wang, Jiaguo
    Yao, Yaqiong
    [J]. JOURNAL OF BANKING & FINANCE, 2018, 97 : 283 - 296
  • [6] CONDITIONAL HETEROSCEDASTICITY IN TIME-SERIES OF STOCK RETURNS - EVIDENCE AND FORECASTS
    AKGIRAY, V
    [J]. JOURNAL OF BUSINESS, 1989, 62 (01): : 55 - 80
  • [7] Time-series forecasting with a novel fuzzy time-series approach: an example for Istanbul stock market
    Yolcu, Ufuk
    Aladag, Cagdas Hakan
    Egrioglu, Erol
    Uslu, Vedide R.
    [J]. JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION, 2013, 83 (04) : 597 - 610
  • [8] Financial time-series analysis of Brazilian stock market using machine learning
    Diniz Campos Ferreira, Fernando Garcia
    Gandomi, Amir H.
    Nogueira Cardoso, Rodrigo Tomas
    [J]. 2020 IEEE SYMPOSIUM SERIES ON COMPUTATIONAL INTELLIGENCE (SSCI), 2020, : 2853 - 2860
  • [9] A Phylogenetic Analysis for Stock Market Indices Using Time-Series String Alignments
    Kim, Hyong-Jun
    Ryu, Chang-Keon
    Ryu, Dong-Sung
    Cho, Hwan-Gue
    [J]. THIRD 2008 INTERNATIONAL CONFERENCE ON CONVERGENCE AND HYBRID INFORMATION TECHNOLOGY, VOL 1, PROCEEDINGS, 2008, : 487 - 492
  • [10] Predictable time-series biases in analyst target prices and stock returns
    Vafaeimehr, Ahmadreza
    [J]. JOURNAL OF FINANCIAL RESEARCH, 2024,