For general topics in finance

Libro adottato a LUISS, a.a. 2026/2027 · 2 canali

Come lo indica il docente: 1) For general topics in finance: Bodie, Kane and Marcus, Essential of Investments, McGraw Hill (latest edition). 2) For financial applications in Python: Yves Hilpisch, Python for Finance (latest edition). Note that Luiss subscribes to the O’Reilly Learning, where you can find online versions of Yves Hilpisch, Python for Finance, as well as several useful resources. Further useful references are: Tidy Finance with Python (free website: https://www.tidy-finance.org/python/index.html), which also exists in the form of textbook; QuantEcon (open source code for economic and finance modeling: https://quantecon.org). More advanced references: Hastie, Tibshirani, Friedman, The Elements of Statistical Learning L Data Mining, Inference, and Prediction (Springer) and James, Witten, Hastie, Tibshirani, Taylor, An Introduction to Statistical Learning: With Applications in Python (Springer). Note that the last two references are fundamental for those of you who plan a career in machine learning (with or without finance applications)

Chi lo adotta

• Computational Finance – Prof. Nicola Borri (canale unico)Business Administration · Laurea triennale (L-18) · esame facoltativo
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