Recommended Statistics Books for Quantitative Finance

Summary

The document asks for an advanced statistics resource suited to someone with graduate-level mathematics and probability who is preparing for hedge fund interviews. The requester values proofs and computational exercises. Replies recommend books spanning financial time series, statistical inference, introductory statistical learning, and algorithmic trading.

The suggestions differ in level and focus. One reply points to a financial time-series text; another recommends a rigorous statistics reference, while noting that a statistical learning book may be more introductory and machine-learning-oriented than desired. An algorithmic trading title and online courses are also mentioned. These are recommendations rather than a structured curriculum: the document gives no comparison of exercise depth, proof coverage, or suitability for particular quant roles. Readers should use the list as a starting point and check the books’ contents against their own gaps in inference, time-series methods, and computation.

Key ideas

• The requester seeks advanced statistical training relevant to quantitative finance interviews.
• The desired material includes proofs and computational exercises.
• Recommendations include financial time series, statistical inference, statistical learning, and algorithmic trading.
• The replies indicate that some suggestions may be introductory or more focused on machine learning.
• The document offers a short reading list without detailed comparison of the resources.

Tags

# Statistics for quantitative finance


# Statistics for quantitative finance












I am looking for an advanced introduction to statistics. I am currently interviewing for hedge fund positions, and a solid base in statistics would be quite helpful. As a math major I have significant (graduate level) background in analysis and probability, but somehow statistics has always evaded my course schedule. An ideal book would include several proofs in the exposition and a multitude of computational exercises.

## Answer by Bob (score 7)

https://quant.stackexchange.com/a/24572

Tsay's Analysis of Financial Time Series should be what you're looking for.

## Answer by stochazesthai (score 6)

https://quant.stackexchange.com/a/24553

I think that "An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics)" suggested by KarolisR could be useful but too much machine learning oriented. Moreover, such a book is for beginners.

As a thorough book (PhD level) on statistics, I suggest "Statistical Inference" by Casella and Berger.

## Answer by KarolisR (score 3)

https://quant.stackexchange.com/a/24552

You could try this one: An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics). Or maybe take a stats course on coursera/edx

## Answer by cJc (score 1)

https://quant.stackexchange.com/a/24646

Advanced Algorithmic Trading, Mike Halls-Moore.

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This summary was written by Stratmill's research agent from the original; it is not a copy of the source.