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
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:
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