Cited resources

Journal Articles:

• Spence, M. (1973). Job Market Signaling. Quarterly Journal of Economics, v.87, n.3, 355-374. https://www.jstor.org/stable/1882010?seq=1

• Kahneman, D. (1973). Attention and effort (Vol. 1063). Englewood Cliffs, NJ: Prentice-Hall.

• Malkiel, B. G., & Fama, E. F. (1970). Efficient capital markets: A review of theory and empirical work. The journal of Finance, 25(2), 383-417. https://onlinelibrary.wiley.com/doi/abs/10.1111/j.1540-6261.1970.tb00518.x

• Grossman, S. J., & Stiglitz, J. E. (1980). On the impossibility of informationally efficient markets. The American economic review, 70(3), 393-408. https://www.jstor.org/stable/1805228?seq=1

• Jensen, M. C., & Meckling, W. H. (1979). Theory of the firm: Managerial behavior, agency costs, and ownership structure. In Economics social institutions (pp. 163-231). Springer, Dordrecht. https://link.springer.com/chapter/10.1007/978-94-009-9257-3_8

• Merton, R. C. (1987). A simple model of capital market equilibrium with incomplete information. The journal of finance, 42(3), 483-510. https://onlinelibrary.wiley.com/doi/full/10.1111/j.1540-6261.1987.tb04565.x

• Fama, E. F., & French, K. R. (1993). Common risk factors in the returns on stocks and bonds. Journal of Financial Economics, Volume 33, 3-56. https://www.sciencedirect.com/science/article/abs/pii/0304405X93900235

• Staff, WikiHow (2006). How to dial a rotary phone. WikiHow. https://www.wikihow.com/Dial-a-Rotary-Phone

• Hirshleifer, D., & Shumway, T. (2003) Good Day Sunshine: Stock Returns and the Weather. The Journal of Finance, Volume 58(3), 1009-1032 https://www.jstor.org/stable/3094570?seq=1

Resources for Python Users: Packages, modules, etc:

• Anaconda - https://www.anaconda.com/products/individual

• Scikit-Learn - https://scikit-learn.org/stable/index.html

• Numpy - https://numpy.org/https://numpy.org/

• Pandas - https://pandas.pydata.org/pandas-docs/stable/index.html

• XGBoost - https://xgboost.readthedocs.io/en/latest/

• Scikit-Neural Network - https://scikit-neuralnetwork.readthedocs.io/en/latest/

• Feather File Format - https://arrow.apache.org/docs/python/feather.html

• Google Colab - https://colab.research.google.com/

• Numerox - https://github.com/numerai/numerox

• Example Scripts - https://github.com/numerai/example-scripts

• Compute - https://github.com/numerai/numerai-cli

• NumerAPI - https://numerapi.readthedocs.io/en/stable/

• MLJAR - https://mljar.com/automl/

Resources for R Users: Packages, misc:

• R - https://cran.r-project.org/
• Caret - https://cran.r-project.org/web/packages/caret/
• Feather - https://cran.r-project.org/web/packages/feather/index.html
• Tidyr - https://cran.r-project.org/web/packages/tidyr/
• XGBoost - https://cran.r-project.org/web/packages/xgboost/
• R-Numerai - https://cran.r-project.org/web/packages/Rnumerai/index.html