Testing Multi-Factor Asset Pricing Models in the Visegrad Countries

被引:0
|
作者
Borys, Magdalena Morgese [1 ,2 ]
机构
[1] Charles Univ Prague, CERGE EI Ctr Econ Res & Grad Educ, CR-11636 Prague 1, Czech Republic
[2] Acad Sci Czech Republ, Inst Econ, Prague, Czech Republic
关键词
CAPM; macroeconomic factor models; asset pricing; cost of capital; Poland; CROSS-SECTIONAL TEST; MARKET EQUILIBRIUM; CONDITIONAL CAPM; RISK-FACTORS; CONSUMPTION; RETURNS; YIELDS; SIZE;
D O I
暂无
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
There is no consensus in the literature as to which model should be used to estimate stock returns and the cost of capital in the emerging markets. The Capital Asset Pricing Model (CAPM), which is most often used for this purpose in the developed markets, has a poor empirical record and is likely not to hold in the less developed and less liquid emerging markets. Various factor models have been proposed to overcome the shortcomings of the CAPM. This paper examines both the CAPM and macroeconomic factor models in terms of their ability to explain average stock returns using data from the Visegrad countries. We find, as expected, that the CAPM is not able to do this task. However, factor models, including factors such as the excess market return, industrial production, inflation, money, the exchange rate, exports, the commodity index, and the term structure, can in fact explain part of the variance in the Visegrad countries' stock returns.
引用
收藏
页码:118 / 139
页数:22
相关论文
共 50 条
  • [1] Multi-factor asset pricing models in emerging and developed markets
    Lalwani, Vaibhav
    Chakraborty, Madhumita
    [J]. MANAGERIAL FINANCE, 2020, 46 (03) : 360 - 380
  • [2] Multi-factor asset pricing models: Factor construction choices and the revisit of pricing factors
    Skocir, Matevz
    Loncarski, Igor
    [J]. JOURNAL OF INTERNATIONAL FINANCIAL MARKETS INSTITUTIONS & MONEY, 2018, 55 : 65 - 80
  • [3] Power enhancement for testing multi-factor asset pricing models via Fisher's method
    Yu, Xiufan
    Yao, Jiawei
    Xue, Lingzhou
    [J]. JOURNAL OF ECONOMETRICS, 2024, 239 (02)
  • [4] Panel data analysis of multi-factor capital asset pricing models
    Makwasha, Tariro
    Wright, Jill
    Silvapulle, Param
    [J]. APPLIED ECONOMICS, 2019, 51 (60) : 6459 - 6475
  • [5] Investigating linear multi-factor models in asset pricing: considerable supplemental evidence*
    Shi, Qi
    Cheung, Adrian
    Li, Bin
    [J]. ASIA-PACIFIC JOURNAL OF ACCOUNTING & ECONOMICS, 2020, 27 (02) : 242 - 260
  • [6] The Predictive Power of Multi-Factor Asset Pricing Models: Evidence from Pakistani Banks
    Salim, Muhammad
    Hashmi, Muhammad Arsalan
    Abdullah, A.
    [J]. JOURNAL OF ASIAN FINANCE ECONOMICS AND BUSINESS, 2021, 8 (11): : 1 - 10
  • [7] Graph-based multi-factor asset pricing model
    Son, Bumho
    Lee, Jaewook
    [J]. FINANCE RESEARCH LETTERS, 2022, 44
  • [8] In-sample and out-of-sample Sharpe ratios of multi-factor asset pricing models
    Kan, Raymond
    Wang, Xiaolu
    Zheng, Xinghua
    [J]. JOURNAL OF FINANCIAL ECONOMICS, 2024, 155
  • [9] Multi-Factor Asset-Pricing Models under Markov Regime Switches: Evidence from the Chinese Stock Market
    Chen, Jieting
    Kawaguchi, Yuichiro
    [J]. INTERNATIONAL JOURNAL OF FINANCIAL STUDIES, 2018, 6 (02):
  • [10] Testing asset pricing models with coskewness
    Adesi, GB
    Gagliardini, P
    Urga, G
    [J]. JOURNAL OF BUSINESS & ECONOMIC STATISTICS, 2004, 22 (04) : 474 - 485