# 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/](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>