Scholarly and Creative Works
2024
- Alanis, E., Chava, S., & Regenstein, J. K. (2024). A Practical Guide to Macroeconomic Data with Python. Retrieved from https://quantamental-python.com/
- Payne, J., Alanis, E., Lessieg, V., & Quijano, M. (n.d.). Can Machine Learning Methods Predict Beta? Applied Economics.
2023
- Alanis, E., Chava, S., & Shah, A. (2023). Benchmarking Machine Learning Models to Predict Corporate Bankruptcy. Journal of Credit Risk, 19(2), 77–110.
2022
- Alanis, E. (2022). Forecasting Betas with Random Forests. Applied Economics Letters, 29(12), 1134–1138.
2021
- Alanis, E., & Quijano, M. C. (n.d.). Random Exam Generation for Finance Exams. Advances in Financial Education.
2020
- Alanis, E., Payne, J., & Picard, J. (2020). Managing for Ratings: Real Effects of a Corporate Ratings Criteria Change. Journal of Financial Research, 43(4), 821–845.
- Alanis, E. (n.d.). Is there valuable private information in credit ratings? . North American Journal of Economics and Finance, 54.
2019
- Alanis, E., & Quijano, M. (2019). Investment–Cash Flow Sensitivity and the Bankruptcy Reform Act of 1978. North American Journal of Economics and Finance, 48, 746–756.
2018
- Alanis, E., Chava, S., & Kumar, P. (2018). Shareholder bargaining power, debt overhang, and investment. Review of Corporate Finance Studies, 7(2), 276–318.
2015
- Alanis, E., Beladi, H., & Quijano, M. (2015). Uninsured deposits as a monitoring device: Their impact on bond yields of banks. Journal of Banking and Finance, 52, 77–88.
2013
- Alanis, E., & Mahdavi, S. (2013). Public expenditures and the unemployment rate in the American states: panel evidence. Applied Economics, 45, 2926–2937.