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Technical Trading Rules

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Market Timing with Moving Averages
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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.

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Notes

  1. 1.

    The other, less typical strategy, is to short the stocks when a Sell signal is generated.

  2. 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. 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. 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. 5.

    For a detailed presentation of the MACD rule, see Appel (2005).

  6. 6.

    When traders use the MACD rule, the most popular combination in practice is to use moving averages of 12, 29, and 9 days.

References

  • Antonacci, G. (2014). Dual momentum investing: An innovative strategy for higher returns with lower risk. McGraw-Hill Education.

    Google Scholar 

  • Appel, G. (2005). Technical analysis: Power tools for active investors. FT Prentice Hall.

    Google Scholar 

  • 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.

    Article  Google Scholar 

  • 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.

    Article  Google Scholar 

  • Faber, M. T. (2007). A quantitative approach to tactical asset allocation. Journal of Wealth Management, 9(4), 69–79.

    Article  Google Scholar 

  • Gartley, H. M. (1935). Profits in the stock market. Lambert Gann Pub.

    Google Scholar 

  • Guppy, D. (2007). Trend trading: A seven step approach to success. Wrightbooks.

    Google Scholar 

  • 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.

    Article  Google Scholar 

  • Kilgallen, T. (2012). Testing the simple moving average across commodities, global stock indices, and currencies. Journal of Wealth Management, 15(1), 82–100.

    Article  Google Scholar 

  • Moskowitz, T. J., Ooi, Y. H., & Pedersen, L. H. (2012). Time series momentum. Journal of Financial Economics, 104(2), 228–250.

    Article  Google Scholar 

  • 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.

    Article  Google Scholar 

  • 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.

    Article  Google Scholar 

  • Siegel, J. (2002). Stocks for the long run. McGraw-Hill Companies.

    Google Scholar 

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Correspondence to Valeriy Zakamulin .

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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

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  • DOI: https://doi.org/10.1007/978-3-319-60970-6_4

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  • 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)

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