Forthcoming

CNN Fear and Greed Index as trend signal in global financial markets

Authors

DOI:

https://doi.org/10.24310/recta....22430

Keywords:

CNN Fear & Greed index, market sentiment, algorithmic trading, behavioral finance

Abstract

Behavioral finance has shown that investor sentiment affects markets, so the challenge is to measure investor sentiment and develop investment strategies that can be profitable in any market context. For this we have developed an algorithmic trading system that takes long or short positions depending on the position of the CNN Greed & Fear index. The backtests executed, using the available historical data, provide consistent evidence of positive performance across markets, with comparatively stronger results observed in European indices, particularly the AEX.

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Author Biographies

  • Antonio Pérez de Juan, Rey Juan Carlos University
    Rey Juan Carlos University
  • Raúl Gómez Martínez, Rey Juan Carlos University
    Rey Juan Carlos University
  • Maria Luisa Medrano García, Rey Juan Carlos University
    Rey Juan Carlos University
  • Camilo Prado Román, Rey Juan Carlos University
    Rey Juan Carlos University

References

Baker, M., & Wurgler, J. (2006). Investor sentiment and the cross-section of stock returns. The Journal of Finance, 61(4), 1645-1680.

https://doi.org/10.1111/j.1540-6261.2006.00885.x

Baker, M., & Wurgler, J. (2007). Investor sentiment in the stock market. Journal of Economic Perspectives, 21(2), 129-152.

https://doi.org/10.1257/jep.21.2.129

CNN. (2022). Fear & greed index. https://edition.cnn.com/markets/fear-and-greed

Cookson, J. A., & Niessner, M. (2020). Why don't we agree? Evidence from a social network of investors. The Journal of Finance, 75(1), 173-228.

https://doi.org/10.1111/jofi.12852

Cunningham, M. R. (1979). Weather, mood, and helping behavior: Quasi-experiments with the sunshine samaritan. Journal of Personality and Social Psychology, 37(11), 1947-1956.

https://doi.org/10.1037/0022-3514.37.11.1947

Da, Z., Engelberg, J., & Gao, P. (2015). The sum of all FEARS: Investor sentiment and asset prices. The Review of Financial Studies, 28(1), 1-32.

https://doi.org/10.1093/rfs/hhu072

Darling, P. G. (1955). A surrogative measure of business confidence and its relation to stock prices. The Journal of Finance, 10(4), 442-458.

https://doi.org/10.1111/j.1540-6261.1955.tb01297.x

Dichev, I. D., & Janes, T. D. (2003). Lunar cycle effects in stock returns. Journal of Private Equity, 6(4), 8-29.

https://doi.org/10.3905/jpe.2003.320053

Dowling, M., & Lucey, B. M. (2005). Weather, biorhythms, beliefs and stock returns-Some preliminary Irish evidence. International Review of Financial Analysis, 14(3), 337-355.

https://doi.org/10.1016/j.irfa.2004.10.003

Edmans, A., Garcia, D., & Norli, O. (2007). Sports sentiment and stock returns. The Journal of Finance, 62(4), 1967-1998.

https://doi.org/10.1111/j.1540-6261.2007.01262.x

Finucane, M. L., Alhakami, A., Slovic, P., & Johnson, S. M. (2000). The affect heuristic in judgments of risks and benefits. Journal of Behavioral Decision Making, 13(1), 1-17.

https://doi.org/10.1002/(SICI)1099-0771(200001/03)13:1<1::AID-BDM333>3.0.CO;2-S

Gerow, A., & Keane, M. T. (2011). Mining the web for the voice of the herd to spot stock market bubbles. Proceedings of the 22nd International Joint Conference on Artificial Intelligence, 2281-2286.

Giot, P. (2005). Implied volatility indices as leading indicators of stock market returns. Journal of Portfolio Management, 31(4), 92-102.

https://doi.org/10.3905/jpm.2005.500363

Goldstein, K. M. (1972). Weather, mood, and internal-external control. Perceptual and Motor Skills, 35(3), 786.

https://doi.org/10.2466/pms.1972.35.3.786

Gómez-Martínez, R. (2013). Señales de inversión basadas en un índice de aversión al riesgo. Investigaciones Europeas de Dirección y Economía de la Empresa, 19(2), 99-106.

https://doi.org/10.1016/j.iedee.2012.12.001

Gómez-Martínez, R., & Prado-Román, C. (2014). Sentimiento del inversor, selecciones nacionales de fútbol y su influencia sobre sus índices nacionales. Revista Europea de Dirección y Economía de la Empresa, 23(3), 99-114.

https://doi.org/10.1016/j.redee.2014.02.001

Gómez-Martínez, R., Medrano-García, M. L., & Gallego-Vázquez, J. A. (2017). Twitter investment alerts for Ibex35 securities. Perspectiva Empresarial, 4(1), 61-71.

https://doi.org/10.16967/rpe.v4n1a4

Hirshleifer, D., & Shumway, T. (2003). Good day sunshine: Stock returns and the weather. The Journal of Finance, 58(3), 1009-1032.

https://doi.org/10.1111/1540-6261.00556

Howarth, E., & Hoffman, M. S. (1984). A multidimensional approach to the relationship between mood and weather. British Journal of Psychology, 75(1), 15-23.

https://doi.org/10.1111/j.2044-8295.1984.tb02785.x

Huang, D., Jiang, F., Tu, J., & Zhou, G. (2015). Investor sentiment aligned: A powerful predictor of stock returns. The Review of Financial Studies, 28(3), 791-837.

https://doi.org/10.1093/rfs/hhu080

Kolb, R. W., & Rodriguez, R. J. (1987). Friday the thirteenth: Part VII-A note. The Journal of Finance, 42(5), 1385-1387.

https://doi.org/10.1111/j.1540-6261.1987.tb04373.x

Lemmon, M., & Portniaguina, E. (2006). Consumer confidence and asset prices: Some empirical evidence. The Review of Financial Studies, 19(4), 1499-1529.

https://doi.org/10.1093/rfs/hhj038

Markowitz, H. (1952). Portfolio selection. The Journal of Finance, 7(1), 77-91.

https://doi.org/10.1111/j.1540-6261.1952.tb01525.x

Moat, H. S., Curme, C., Avakian, A., Kenett, D. Y., Stanley, H. E., & Preis, T. (2013). Quantifying Wikipedia usage patterns before stock market moves. Scientific Reports, 3, Article 1801.

https://doi.org/10.1038/srep01801

Nofsinger, J. R. (2005). Social mood and financial economics. The Journal of Behavioral Finance, 6(3), 144-160.

https://doi.org/10.1207/s15427579jpfm0603_4

Renault, T. (2017). Intraday online investor sentiment and return patterns in the U.S. stock market. Journal of Banking & Finance, 84, 25-40.

https://doi.org/10.1016/j.jbankfin.2017.07.002

Sanders, J. L., & Brizzolara, M. S. (1982). Relationships between mood and weather. The Journal of General Psychology, 107(1), 157-158.

https://doi.org/10.1080/00221309.1982.9709917

Saunders, E. M., Jr. (1993). Stock prices and Wall Street weather. The American Economic Review, 83(5), 1337-1345.

Torgler, B. (2007). Determinants of superstition. The Journal of Socio-Economics, 36(5), 713-733.

https://doi.org/10.1016/j.socec.2007.01.007

Traub, H. D., Ferreira, L., & McArdle, M. (2000). Fear and greed in global asset allocation. The Journal of Investing, 9(1), 27-31.

https://doi.org/10.3905/joi.2000.319396

Whaley, R. E. (2000). The investor fear gauge. The Journal of Portfolio Management, 26(3), 12-17.

https://doi.org/10.3905/jpm.2000.319728

Yuan, K., Zheng, L., & Zhu, Q. (2006). Are investors moonstruck? Lunar phases and stock returns. Journal of Empirical Finance, 13(1), 1-23.

https://doi.org/10.1016/j.jempfin.2005.06.001

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Published

2026-04-01

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How to Cite

Pérez de Juan, A., Gómez Martínez, R., Medrano García, M. L., & Prado Román, C. (2026). CNN Fear and Greed Index as trend signal in global financial markets. Revista Electrónica De Comunicaciones Y Trabajos De ASEPUMA, 49-58. https://doi.org/10.24310/recta....22430