Suggested Reading for Quantitative Alpha Design

Summary

The document gathers suggested books and papers for learning quantitative alpha design and advanced quantitative finance. Its starting list includes texts on active and quantitative portfolio management, expected returns, financial machine learning, derivatives, and online portfolio selection, as well as an industry reading list. The requester also names empirical asset pricing and out-of-sample portfolio research as examples of papers they value.

Two respondents add recommendations. One highlights a quantitative equity investing text for its treatment of time-series modeling, covariance estimation, factor portfolio optimization, and transaction costs. Another recommends a book surveying known market anomalies and methods for detecting and testing them. These are personal suggestions rather than a ranked or comprehensive syllabus. The document supplies no evaluation criteria, publication details, or evidence that any particular book or paper will produce profitable strategies; readers must judge relevance to their background and research goals.

Key ideas

• The proposed reading list spans portfolio management, expected returns, machine learning, derivatives, and online portfolio selection.
• One recommendation emphasizes modeling, covariance estimation, factor optimization, and transaction costs.
• Another recommendation focuses on market anomalies and methods for testing them.
• The suggestions are personal and do not amount to a complete or ranked curriculum.
• The document provides no evidence that studying these sources will produce profitable strategies.

Tags

# Reading List (Advanced Alpha Design)


# Reading List (Advanced Alpha Design)












I am busy working on a getting started guide for advanced quantitative finance (for alpha design) and have been searching for the seminal books/literature for the field.

So far I have the following list but I feel as if I must be missing a few texts:

- Active Portfolio Management

- Quantitative Equity Portfolio Management

- Expected Returns by Antti Ilmanen

- Advances in Financial Machine Learning

- Options, Futures, and Other Derivatives

- Online Portfolio Selection

- AQR's 20 for Twenty

Are there any other great texts that we should add? I am open to the idea of academic papers as well.

2 Examples of knock out good papers (imo) are:

- Empirical Asset Pricing via Machine Learning

- Building Diversified Portfolios that Outperform Out of Sample

## Answer by numerairX (score 3)

https://quant.stackexchange.com/a/50254

my personal favorite in addition to APM is Quantitative Equity Investing. I think of it as alpha 101 as it goes thru modelling time series, covariance matrix, then to factor portfolio optimization, transaction costs etc.

## Answer by Kevin (score 1)

https://quant.stackexchange.com/a/46620

What about Empirical Asset Pricing? A standard book about many known anomalies and ways of detecting/testing them. May help to generate some alpha when strategies around these ideas are exploided.

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