Investment Science
by David G. Luenberger · first published 2013
6mentions
5recommended by
6HN commenters
2014–2025first – last mentioned
83% recommend17% neutral
Why HN recommends it
Concise, mathematically rigorous introduction to finance theory covering discrete-time models with good breadth; suits quantitative people who want the math behind investing and a reference to return to.
Summarised by Claude from recommending comments
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Since you are already in a quantitative field I think it would be good to quickly get to the heart of what economists actually do. I would suggest Varian, 'Intermediate Microeconomics' Luenberger, 'Investment Science' Wooldridge, 'Introductory Econometrics' for the undergraduate background and then at the graduate level Jehle and Renyi for microeconomics, Duffie for asset pricing theory, Tirole for corporate finance…
on “Ask HN: What are the must-read books about economics/finance?” ↗If you just want to get up to speed on the mathematics, Luenberger's Investment Science is a classic. https://www.amazon.com/Investment-Science-David-G-Luenberger...
on “Ask HN: Good resources to learn financial systems engineering?” ↗Investment Science by Luenberger
on “Python for Finance” ↗I'm reading a few. The Power Broker (really good, but really long). The dictators handbook (good, but repetitive). Deep thinking (easy and enjoyable if you're interested in AI). Investment Science (very good if you're interested in math finance).
on “Ask HN: What books are you currently reading?” ↗As a textbook, I suggest Investment Science by Leunberger. It's concise and has great coverage, and you can just keep referencing it over time. As an initial focus, I suggest understanding discrete time models well. If you've got some LA and calculus…
on “Introduction to Algotrading (2011) [pdf]” ↗Investment Science - is that the one by David Luenberger? Green cover?
on “Ask HN: What books are you currently reading?” ↗