Enhancing Momentum Trading with Macroeconomic Indicators- A Strategic Approach
Keywords:
Algorithmic Trading, Economic Indicators, Financial Markets, Macroeconomic Data, Momentum Trading, Risk ManagementAbstract
Traditional momentum trading strategies capitalize on existing market trends but often overlook broader macroeconomic contexts, potentially limiting their effectiveness during periods of economic fluctuation. This paper introduces an enhanced momentum trading strategy that incorporates key economic indicators—GDP, inflation, unemployment rates, and interest rates—to provide a more robust framework capable of adapting to changing economic conditions. By integrating these macroeconomic factors, the strategy aims to improve predictive accuracy and performance stability. Using data from the S&P 600 SmallCap Index, we modified the conventional momentum calculation to include weighted contributions from these indicators, creating a comprehensive 'new momentum' score. Preliminary back testing, comparing this enhanced strategy against traditional methods, shows promising improvements in risk-adjusted returns. This paper not only details the methodology and results of integrating economic indicators into momentum trading but also discusses the implications for risk management and potential areas for future research.
References
H. Markowitz, "Portfolio Selection: Efficient Diversification of Investments," Yale University Press, 1959. Available from: http://www.jstor.org/stable/j.ctt1bh4c8h
R. C. Merton, "An Intertemporal Capital Asset Pricing Model," Econometrica, vol. 41, no. 5, pp. 867-887, 1973. Available from: http://doi.org/10.2307/1913811
E. F. Fama and K. R. French, "Common risk factors in the returns on stocks and bonds," Journal of Financial Economics, vol. 33, no. 1, pp. 3-56, 1993. Available from: http://doi.org/10.1016/0304-405X(93)90023-5
J. Y. Campbell and L. M. Viceira, "Strategic Asset Allocation: Portfolio Choice for Long-Term Investors," Oxford University Press, 2002. Available from: http://oxforduniversitypress.com/2002/strategicassetallocation
T. G. Andersen, T. Bollerslev, F. X. Diebold, and P. Labys, "Modeling and Forecasting Realized Volatility," Econometrica, vol. 71, no. 2, pp. 579-625, 2003. Available from: http://doi.org/10.1111/1468-0262.00418
C. Brooks and G. Persand, "Volatility forecasting for risk management," Journal of Forecasting, vol. 22, no. 1, pp. 1-22, 2003. Available from: http://doi.org/10.1002/for.841
L. K. C. Chan, N. Jegadeesh, and J. Lakonishok, "Momentum strategies," The Journal of Finance, vol. 51, no. 5, pp. 1681-1713, 1996. Available from: http://doi.org/10.1111/j.1540-6261.1996.tb05222.x
R. D. Arnott, J. Hsu, and P. Moore, "Fundamental Indexation," Financial Analysts Journal, vol. 62, no. 2, pp. 83-99, 2006. Available from: http://doi.org/10.2469/faj.v62.n2.4083
A. Subramanian, "The Cross-Section of Expected Stock Returns: What Have We Learnt from the Past Twenty-Five Years of Research?" European Financial Management, vol. 16, no. 1, pp. 27-42, 2010. Available from: http://doi.org/10.1111/j.1468-036X.2009.00516.x
R. F. Engle, "Dynamic Conditional Correlation: A Simple Class of Multivariate Generalized Autoregressive Conditional Heteroskedasticity Models," Journal of Business & Economic Statistics, vol. 20, no. 3, pp. 339-350, 2002. Available from: http://doi.org/10.1198/073500102288618487
