Timing the Market with a Combination of Moving Averages

被引:3
|
作者
Glabadanidis, Paskalis [1 ]
机构
[1] Univ Adelaide, Accounting & Finance Business Sch, Adelaide, SA 5005, Australia
关键词
TECHNICAL TRADING RULES; STOCK RETURNS; TRANSACTION COSTS; PERFORMANCE; PREDICTABILITY; INFORMATION; ALGORITHMS; DEFENSE; MODEL;
D O I
10.1111/irfi.12107
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
A combination of simple moving average trading strategies with several window lengths delivers a greater average return and skewness as well as a lower variance and kurtosis compared with buying and holding the underlying asset using daily returns of value-weighted US decile portfolios sorted by market size, book-to-market, momentum, and standard deviation as well as more than 1000 individual US stocks. The combination moving average (CMA) strategy generates risk-adjusted returns of 2% to 16% per year before transaction costs. The performance of the CMA strategy is driven largely by the volatility of stock returns and resembles the payoffs of an at-the-money protective put on the underlying buy-and-hold return. Conditional factor models with macroeconomic variables, especially the market dividend yield, short-term interest rates, and market conditions, can explain some of the abnormal returns. Standard market timing tests reveal ample evidence regarding the timing ability of the CMA strategy.
引用
收藏
页码:353 / 394
页数:42
相关论文
共 50 条
  • [1] Market Timing with Moving Averages
    Ilomaki, Jukka
    Laurila, Hannu
    McAleer, Michael
    [J]. SUSTAINABILITY, 2018, 10 (07)
  • [2] Market Timing With Moving Averages
    Glabadanidis, Paskalis
    [J]. INTERNATIONAL REVIEW OF FINANCE, 2015, 15 (03) : 387 - 425
  • [3] Revisiting the Profitability of Market Timing with Moving Averages
    Zakamulin, Valeriy
    [J]. INTERNATIONAL REVIEW OF FINANCE, 2018, 18 (02) : 317 - 327
  • [4] Market timing with moving averages for fossil fuel and renewable energy stocks
    Chang, Chia-Lin
    Ilomaki, Jukka
    Laurila, Hannu
    McAleer, Michael
    [J]. ENERGY REPORTS, 2020, 6 : 1798 - 1810
  • [5] The Market Timing Power of Moving Averages: Evidence from US REITs and REIT Indexes
    Glabadanidis, Paskalis
    [J]. INTERNATIONAL REVIEW OF FINANCE, 2014, 14 (02) : 161 - 202
  • [6] Effect of moving averages in the tickwise tradings in the stock market
    Streichert, Felix
    Tanaka-Yamawaki, Mieko
    Iwata, Masayuki
    [J]. KNOWLEDGE-BASED INTELLIGENT INFORMATION AND ENGINEERING SYSTEMS, PT 3, PROCEEDINGS, 2006, 4253 : 647 - 654
  • [7] Linear Combination of Exponential Moving Averages for Wireless Channel Prediction
    Formis, Gabriele
    Scanzio, Stefano
    Cena, Gianluca
    Valenzano, Adriano
    [J]. 2023 IEEE 21ST INTERNATIONAL CONFERENCE ON INDUSTRIAL INFORMATICS, INDIN, 2023,
  • [8] On Moving Averages
    Bauschke, Heinz H.
    Sarada, Joshua
    Wang, Xianfu
    [J]. JOURNAL OF CONVEX ANALYSIS, 2014, 21 (01) : 219 - 235
  • [9] A robust forecasting system, based on the combination of two simple moving averages
    Johnston, FR
    Boylan, JE
    Shale, E
    Meadows, M
    [J]. JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY, 1999, 50 (12) : 1199 - 1204
  • [10] MOVING AVERAGES IN THE PLANE
    Moonens, Laurent
    Rosenblatt, Joseph M.
    [J]. ILLINOIS JOURNAL OF MATHEMATICS, 2012, 56 (03) : 759 - 793