Abstract
This chapter reviews the most common trend-following rules that are based on moving averages of prices. It also discusses the principles behind the generation of trading signals in these rules. This chapter also illustrates the limitations of these rules and argues that the moving average trading rules are advantageous only when the trend is strong and long-lasting.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Notes
- 1.
The other, less typical strategy, is to short the stocks when a Sell signal is generated.
- 2.
In our notation, n denotes the size of the window used to compute a trading indicator. The most recent price observation in a window is \(P_t\), whereas the most distant price observation in a window is \(P_{t-n+1}\).
- 3.
Note that this 8-fold reduction in transaction costs is achieved only when daily data are used. At a weekly or monthly frequency, the reduction in transaction costs is much lower.
- 4.
See also Guppy (2007) where the author presents his Guppy Multiple Moving Average indicator based on 6 short-term moving averages and 6 long-term moving averages.
- 5.
For a detailed presentation of the MACD rule, see Appel (2005).
- 6.
When traders use the MACD rule, the most popular combination in practice is to use moving averages of 12, 29, and 9Â days.
References
Antonacci, G. (2014). Dual momentum investing: An innovative strategy for higher returns with lower risk. McGraw-Hill Education.
Appel, G. (2005). Technical analysis: Power tools for active investors. FT Prentice Hall.
Brock, W., Lakonishok, J., & LeBaron, B. (1992). Simple technical trading rules and the stochastic properties of stock returns. Journal of Finance, 47(5), 1731–1764.
Clare, A., Seaton, J., Smith, P. N., & Thomas, S. (2013). Breaking into the blackbox: Trend following, stop losses and the frequency of trading—the case of the S&P500. Journal of Asset Management, 14(3), 182–194.
Faber, M. T. (2007). A quantitative approach to tactical asset allocation. Journal of Wealth Management, 9(4), 69–79.
Gartley, H. M. (1935). Profits in the stock market. Lambert Gann Pub.
Guppy, D. (2007). Trend trading: A seven step approach to success. Wrightbooks.
Gwilym, O., Clare, A., Seaton, J., & Thomas, S. (2010). Price and momentum as robust tactical approaches to global equity investing. Journal of Investing, 19(3), 80–91.
Kilgallen, T. (2012). Testing the simple moving average across commodities, global stock indices, and currencies. Journal of Wealth Management, 15(1), 82–100.
Moskowitz, T. J., Ooi, Y. H., & Pedersen, L. H. (2012). Time series momentum. Journal of Financial Economics, 104(2), 228–250.
Okunev, J., & White, D. (2003). Do momentum-based strategies still work in foreign currency markets? Journal of Financial and Quantitative Analysis, 38(2), 425–447.
Pätäri, E., & Vilska, M. (2014). Performance of moving average trading strategies over varying stock market conditions: The finnish evidence. Applied Economics, 46(24), 2851–2872.
Siegel, J. (2002). Stocks for the long run. McGraw-Hill Companies.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2017 The Author(s)
About this chapter
Cite this chapter
Zakamulin, V. (2017). Technical Trading Rules. In: Market Timing with Moving Averages. New Developments in Quantitative Trading and Investment. Palgrave Macmillan, Cham. https://doi.org/10.1007/978-3-319-60970-6_4
Download citation
DOI: https://doi.org/10.1007/978-3-319-60970-6_4
Published:
Publisher Name: Palgrave Macmillan, Cham
Print ISBN: 978-3-319-60969-0
Online ISBN: 978-3-319-60970-6
eBook Packages: Economics and FinanceEconomics and Finance (R0)