Advanced Investing Books - Quantitative Investment Strategy (2024)

When you are ready to take the next step beyond buy & hold then this fun selection of advanced investing books will introduce you to the world of scientific, actuarial investment strategy - quantitative investing. This is how you produce more consistent and reliable investment returns regardless of market conditions. Each of these books offers a slightly different perspective so you can see which one is most compelling for you...

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What Works on Wall Street, Fourth Edition: The Classic Guide to the Best-Performing Investment Strategies of All TimeAdvanced Investing Books - Quantitative Investment Strategy (6)James O'Shaughnessy provides mountains of research on effective stock screening strategies. Otherwise known as factor modeling, his methodical research examines how market capitalization, P/E ratios, price to sales ratios, and price to book ratios (among other factors) influence expected investment returns. He then develops multi-factor models where he combines several factors to develop improved return versus risk. This is the place to start if you are new to stock screening. Another excellent choice in this area is Quantitative Value: A Practitioner's Guide to Automating Intelligent Investment and Eliminating Behavioral Errors (Wiley Finance)Advanced Investing Books - Quantitative Investment Strategy (7).

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The Ivy Portfolio: How to Invest Like the Top Endowments and Avoid Bear MarketsAdvanced Investing Books - Quantitative Investment Strategy (10)I'm not a huge fan of the "Ivy Portfolio" portion of the book. Instead, the reason this book is featured is the golden gems hidden in the 3rd section explaining quantitative systems. That is Meb's strength. Both approaches revealed in the book have held up beautifully in out-of-sample results and are fully explained in easy-to-understand terminology.

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Unexpected Returns: Understanding Secular Stock Market CyclesAdvanced Investing Books - Quantitative Investment Strategy (13)Investing without knowing what's in this book is like driving with your eyes closed. Ed has done the research and presents data-proven insights in beautifully organized charts that will intrigue the analytical mind and frustrate romance novel readers. Admittedly, it's not a page turner, but if you have a portfolio you gotta know this stuff. Pay particular attention to the forecast conclusions made when the book was originally published years ago.

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The Misbehavior of Markets: A Fractal View of Financial TurbulenceAdvanced Investing Books - Quantitative Investment Strategy (16)The next time a buy & hold apologist tells you volatility doesn't matter, hand them this book. Mandlebrot is the math genius behind Fractal Geometry so this analysis comes with a serious pedigree. He analyzes security market price change distributions and proves that the frequency and severity of extreme moves defies normal statistical probability. The important conclusion is that fat-tailed distributions are so prominent that they literally define the distribution with important mathematical conclusions.

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The Black Swan: Second Edition: The Impact of the Highly Improbable: With a new section: "On Robustness and Fragility"Advanced Investing Books - Quantitative Investment Strategy (19)Our minds are wired to deceive us, and nowhere is this more expensive than investing. This books provides part of the foundation for quantitative investment discipline, puts the nail in the coffin of forecasting, and eliminates 99% of what passes for "financial advice". The crux of the issue is decision making under uncertainty. The future is 100% unpredictable so the only viable alternative is probabilistic outcomes. Pay particular attention to chapters 15-17.

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More Than You Know: Finding Financial Wisdom in Unconventional Places (Updated and Expanded) (Columbia Business School Publishing)Advanced Investing Books - Quantitative Investment Strategy (22)If you enjoy an intellectual adventure into investing then this book is fun and a worthwhile read. If you are looking for data driven insights then this book will disappoint you. Of particular note is how the author holds up Bill Miller's value investing track record as evidence right before Miller "blows up" in the years following publication. Oops! Nonetheless, this book provides valuable food for thought.

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Valuing Wall Street: Protecting Wealth in Turbulent MarketsAdvanced Investing Books - Quantitative Investment Strategy (25)Published in 2000, this book applied Tobin's Q-ratio to call the subsequent poor stock market returns perfectly. There's tons of other research on valuation as a risk management tool (see Shiller's Irrational ExuberanceAdvanced Investing Books - Quantitative Investment Strategy (26)as another example), but these books are rare in providing you a well researched, fully-disclosed methodology. Use these books to better understand the roots of valuation based investment risk management.

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Being Right or Making MoneyAdvanced Investing Books - Quantitative Investment Strategy (29)This book isn't cheap, but hey, it's Ned Davis Research. What you get is a top-quality presentation of technical indicators. Of particular note is his explanation connecting quantitative investment discipline with the greatest investors of all time.

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The Handbook of Portfolio Mathematics: Formulas for Optimal Allocation & LeverageAdvanced Investing Books - Quantitative Investment Strategy (32)You can't declare yourself a "quant" if you haven't read Ralph Vince's writings, and this book provides as good an overview as any of Ralph's analysis. Not exactly a page turner, but this is mathematics we are dealing with.

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Quantitative Investment Analysis (CFA Institute Investment Series)Advanced Investing Books - Quantitative Investment Strategy (35)Let's finish this list with the textbook on quantitative analysis - literally. It is used for studying to prepare for the CFA designation.

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Advanced Investing Books - Quantitative Investment Strategy (2024)

FAQs

What are the quantitative investment strategies? ›

Quantitative investment strategies include statistical arbitrage, factor investing, risk parity, machine learning techniques, and artificial intelligence approaches. Commonly used factors in quantitative analyses include value, momentum, size, quality, and volatility.

What is a quant investment style? ›

Quantitative investment management makes use of a variety of well-developed models for equity and fixed income markets, as well as currencies, commodities, and structured products. These models are designed to solve problems related to asset pricing and hedging, risk analytics, and portfolio optimization.

What is a quantitative investment strategy index? ›

Quantitative Investment Strategies (QIS) is an alternative way of investing that builds rules-based Investment Solutions encapsulated in proprietary indices.

What does quantitative mean in investing? ›

Quantitative investing, also known as systematic investing, is an investment approach that uses advanced mathematical modelling, computer systems and data analysis to calculate the optimal probability of executing a profitable trade.

What is the ESG quant strategy? ›

This is an investment strategy created by the Anglo-German investment management firm Arabesque Partners. It involves quantitive equity investing using non-financial ESG information - environmental, social and governance data.

What is an example of a quant strategy? ›

Consider the case of a trader who believes in momentum investing. They can choose to write a simple program that picks out the winners during an upward momentum in the markets. During the next market upturn, the program will buy those stocks. This is a fairly simple example of quantitative trading.

What type of quant makes the most money? ›

Yes, quants tend to command high salaries, in part because they are in demand. Hedges funds and other trading firms generally offer the highest compensation. Entry-level positions may earn only $125,000 or $150,000, but there is usually room for future growth in both responsibilities and salary.

What do quant traders actually do? ›

Quantitative trading (also called quant trading) involves the use of computer algorithms and programs—based on simple or complex mathematical models—to identify and capitalize on available trading opportunities. Quant trading also involves research work on historical data with an aim to identify profit opportunities.

What is BlackRock quantitative investing? ›

A ground-breaking quantitative investment team that applies the latest Big Data and Machine Learning techniques to the world of investing to achieve superior outcomes for our clients, including large institutional investors, retirement plans of the world's leading companies and individual investors saving for the ...

How do quants beat the market? ›

Quant funds make use of superior algorithms and the best minds in quantitative analysis to exploit market inefficiencies and achieve alpha. Machine learning capabilities of quant models draw insights by analyzing large amounts of data in real-time.

How to develop quantitative strategies? ›

The process of developing quantitative trading strategies includes the subsequent stages:
  1. Translate a trading strategy into a mathematical representation.
  2. Develop a computer program that enacts the model on past market data.
  3. Refine and test the model retrospectively with historical market data to enhance its performance.
Apr 4, 2024

What is intelligent quantitative trading? ›

AI quantitative trading is an innovative investment method that utilizes modern science and mathematics through computer intelligence technology. It enables traders to establish various mathematical models and formulate trading rules while adopting programmed and automated operations to conduct transactions.

What is an example of a quantitative investment strategy? ›

Some examples include growth, momentum, market cap, and value. The mathematical model scores each stock according to these factors and then uses the aggregate score to rank each of them; Systematic global macro strategies seek to identify countries and regions with favorable fundamentals.

What are the disadvantages of quantitative investing? ›

Disadvantages of quant trading
  • Curve Fitting: The financial market comes with numerous variables and randomness.
  • Extensive skills: As quantitative trading includes the use of statistical and mathematical models, implementation is a tough task.
  • Technical errors:
  • Loss of control:
  • Continuous adjustments:

What is an example of quant investing? ›

Some examples of quantitative investment strategies are; portfolio rebalancing (ETF fund flow), momentum investing and risk-parity investing.

What is the quantitative method of investment analysis? ›

Quantitative analysis (QA) in finance refers to the use of mathematical and statistical techniques to analyze financial & economic data and make trading, investing, and risk management decisions. QA starts with data collection, where quants gather a vast amount of financial data that might affect the market.

Which of these are common types of quantitative trading strategies? ›

Some examples of successful quantitative trading strategies include:
  • Statistical arbitrage.
  • Trend following.
  • High-frequency trading.
  • Mean reversion.
  • Algorithmic pattern recognition.
  • Sentiment analysis.
Apr 4, 2024

What are qualitative investment methods? ›

The qualitative approach concentrates on the quality of the company. Emphasis is put on the company's products, services, management, competitors, etc. Special attention is given to finding companies with sustainable competitive advantages .

What are the different types of quantitative research strategy? ›

There are four main types of Quantitative research: Descriptive, Correlational, Causal-Comparative/Quasi-Experimental, and Experimental Research. attempts to establish cause- effect relationships among the variables.

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