Here are 74 books that Asset Management fans have personally recommended if you like
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A noted quantitative hedge fund manager and quant finance author, Ernie is the founder of QTS Capital Management and Predictnow.ai. Previously he has applied his expertise in machine learning at IBM T.J. Watson Research Center’s Human Language Technologies group, at Morgan Stanley’s Data Mining and Artificial Intelligence Group, and at Credit Suisse’s Horizon Trading Group. Ernie was quoted by Bloomberg, the Wall Street Journal, New York Times, Forbes, and the CIO magazine, and interviewed on CNBC’s Closing Bell program. He is an adjunct faculty at Northwestern University’s Master’s in Data Science program and supervises student theses there. Ernie holds a Ph.D. in theoretical physics from Cornell University.
I have used this book to teach my Financial Risk Analytics course at Northwestern University for many years. As a textbook, it is surprisingly easy to read, and the abundant exercises are great. This would be a foundational text to read after you have read my own books. It puts you on solid ground to understand all the financial babble that you may read elsewhere. It includes extensive coverage of most basic topics important to a serious quantitative trader, while not being overly mathematical. Easily understandable if you have basic programming and math background from first year of university.
Everything is practical in this book, which isn’t what you would expect from a textbook! There is no math for math’s sake. I have used the techniques discussed in this book for real trading, and for creating features at my machine learning SaaS predictnow.ai. Examples: What’s the difference between net…
The new edition of this influential textbook, geared towards graduate or advanced undergraduate students, teaches the statistics necessary for financial engineering. In doing so, it illustrates concepts using financial markets and economic data, R Labs with real-data exercises, and graphical and analytic methods for modeling and diagnosing modeling errors. These methods are critical because financial engineers now have access to enormous quantities of data. To make use of this data, the powerful methods in this book for working with quantitative information, particularly about volatility and risks, are essential. Strengths of this fully-revised edition include major additions to the R code…
A noted quantitative hedge fund manager and quant finance author, Ernie is the founder of QTS Capital Management and Predictnow.ai. Previously he has applied his expertise in machine learning at IBM T.J. Watson Research Center’s Human Language Technologies group, at Morgan Stanley’s Data Mining and Artificial Intelligence Group, and at Credit Suisse’s Horizon Trading Group. Ernie was quoted by Bloomberg, the Wall Street Journal, New York Times, Forbes, and the CIO magazine, and interviewed on CNBC’s Closing Bell program. He is an adjunct faculty at Northwestern University’s Master’s in Data Science program and supervises student theses there. Ernie holds a Ph.D. in theoretical physics from Cornell University.
By now, you may notice that I like to recommend textbooks. I use this bestseller for my course in Financial Machine Learning at Northwestern University, but really, nobody interested in financial machine learning hasn’t read this book. The topics are highly relevant to every investor or trader – I read it at least 5 times to digest every nugget and have put them to very productive use in my trading as well as in my fintech firm predictnow.ai. It covers basic techniques such as random forest to advanced techniques such as Hierarchical Risk Parity, which is a big improvement over traditional portfolio optimization methods.
Marcos used to be Head of Machine Learning at AQR (AUM=$143B), and now is the Global Head of Quant Research at Abu Dhabi Investment Authority. He is also very approachable to his readers and students. There was seldom an email or message from me to which…
Learn to understand and implement the latest machine learning innovations to improve your investment performance
Machine learning (ML) is changing virtually every aspect of our lives. Today, ML algorithms accomplish tasks that - until recently - only expert humans could perform. And finance is ripe for disruptive innovations that will transform how the following generations understand money and invest.
In the book, readers will learn how to:
Structure big data in a way that is amenable to ML algorithms
Conduct research with ML algorithms on big data
Use supercomputing methods and back test their discoveries while avoiding false positives
A noted quantitative hedge fund manager and quant finance author, Ernie is the founder of QTS Capital Management and Predictnow.ai. Previously he has applied his expertise in machine learning at IBM T.J. Watson Research Center’s Human Language Technologies group, at Morgan Stanley’s Data Mining and Artificial Intelligence Group, and at Credit Suisse’s Horizon Trading Group. Ernie was quoted by Bloomberg, the Wall Street Journal, New York Times, Forbes, and the CIO magazine, and interviewed on CNBC’s Closing Bell program. He is an adjunct faculty at Northwestern University’s Master’s in Data Science program and supervises student theses there. Ernie holds a Ph.D. in theoretical physics from Cornell University.
Disclaimer: I like Euan’s books not because he is a friend and has endorsed my books. Long before we became friends, I have bought his book, and said to myself “Wow! This is the first book about options trading that is not just a bunch of trite statements about payouts from various straddles and spreads positions!” It talks about some unique arbitrage opportunities that only professionals knew about. On the other hand, the amount of mathematics is very manageable, and can largely be skipped without affecting the practical applications of the concepts.
An A to Z options trading guide for the new millennium and the new economy Written by professional trader and quantitative analyst Euan Sinclair, Option Trading is a comprehensive guide to this discipline covering everything from historical background, contract types, and market structure to volatility measurement, forecasting, and hedging techniques. This comprehensive guide presents the detail and practical information that professional option traders need, whether they're using options to hedge, manage money, arbitrage, or engage in structured finance deals. It contains information essential to anyone in this field, including option pricing and price forecasting, the Greeks, implied volatility, volatility measurement…
A noted quantitative hedge fund manager and quant finance author, Ernie is the founder of QTS Capital Management and Predictnow.ai. Previously he has applied his expertise in machine learning at IBM T.J. Watson Research Center’s Human Language Technologies group, at Morgan Stanley’s Data Mining and Artificial Intelligence Group, and at Credit Suisse’s Horizon Trading Group. Ernie was quoted by Bloomberg, the Wall Street Journal, New York Times, Forbes, and the CIO magazine, and interviewed on CNBC’s Closing Bell program. He is an adjunct faculty at Northwestern University’s Master’s in Data Science program and supervises student theses there. Ernie holds a Ph.D. in theoretical physics from Cornell University.
Finally, for those who are not afraid of math, they should read this book because there is a lot of heavy-duty math. The good news for the rest of us is you can ignore all the math and still get a lot out of it, especially knowledge about market microstructure and how to find the theoretically optimal trading strategies given some assumptions about the price dynamics. Even if you don’t want to or can’t solve those darn stochastic differential equations, you can still implement a numerical approximation. At the minimum, you will learn common trading lingo such as “walking the book” or “the ITCH feed”.
The design of trading algorithms requires sophisticated mathematical models backed up by reliable data. In this textbook, the authors develop models for algorithmic trading in contexts such as executing large orders, market making, targeting VWAP and other schedules, trading pairs or collection of assets, and executing in dark pools. These models are grounded on how the exchanges work, whether the algorithm is trading with better informed traders (adverse selection), and the type of information available to market participants at both ultra-high and low frequency. Algorithmic and High-Frequency Trading is the first book that combines sophisticated mathematical modelling, empirical facts and…
When I was growing up, I saw family members and friends, who were otherwise smart people who could master other aspects of their lives, have difficulty with personal finance decisions and investing. When my dad was laid off during a recession, he had some retirement money distributed to him, and I got interested in investing as he researched and tried with difficulty to handle this money himself. In my young adult years, I was a sponge to learn as much as I could about personal finance.
I first read this book as required reading for a college course, and it greatly changed how I thought about investing.
Over the years, I’ve read updated editions, and it never gets stale and always includes new information and insights. But the foundational issues have stood the test of time and remain in the newest edition.
I also love this book because it introduced me at a young age to mutual funds and Vanguard.
Today's stock market is not for the faint hearted. At a time of frightening volatility, the answer is to turn to Burton G. Malkiel's advice in his reassuring, authoritative, gimmick-free and perennially best-selling guide to investing. Long established as the first book to purchase before starting a portfolio, A Random Walk Down Wall Street now features new material on "tax-loss harvesting"; the current bitcoin bubble and automated investment advisers; as well as a brand-new chapter on factor investing and risk parity. And as always, Malkiel's core insights-on stocks and bonds, as well as investment trusts, home ownership and tangible assets…
I am the Founder of Stellar Wealth Partners, a SEBI-registered Research Analyst firm and small case manager for investors in the Indian stock market. I am the author of the international best-seller on value investing, The Joys of Compounding. Once a strong foundation is created for a business, owners don’t work for money. Rather, money works for them. As an investor, your money is working for you 24/7. You are becoming wealthier with each passing second, alongside the increasing intrinsic value of your businesses. An investor builds earnings power through a business ownership mindset.
Some people love to make successful investing seem more complicated than it really is. In this anthology of essays and letters written between 2010–20, Terry Smith makes the case for simply buying the best companies in the world. These are businesses that generate large amounts of cash and know what to do with it in the form of sound capital allocation. The result is a powerful compounding of returns for the long term.
This book serves as a good reiteration of the thinking and principles underpinning Smith’s investing approach, including his three-step investment mantra: “Buy good companies. Don’t overpay. Do nothing.” It also highlights the nuances of the process, including why Smith favors return on capital employed (ROCE) and free cash flow (FCF) yield as metrics for assessing companies and why Smith is less enamored of measures such as earnings per share (EPS).
Some people love to make successful investing seem more complicated than it really is. In this anthology of essays and letters written between 2010-20, leading fund manager Terry Smith delights in debunking the many myths of investing - and making the case for simply buying the best companies in the world.
These are businesses that generate serious amounts of cash and know what to do with it. The result is a powerful compounding of returns that is almost impossible to beat. Even better, they aren't going anywhere. Most have survived the Great Depression…
I grew up poor. At 6 years old, I was homeless. My parents had a messy divorce, and I was bounced around a lot as a child. As a result, I grew up with many limiting beliefs; about myself and about money. By age 13, I heard about the stock market and the ability to turn a little into a lot. By the time I graduated high school, I had saved up some money and placed my first trade… I then struggled for more than a decade. After learning the hard way, I finally turned the corner in 2011. My dream is to help others do the same.
William O’Neil’s How To Make Money In Stocks is great for anyone looking to learn how to trade stocks part-time.
It gives you a framework of what actually causes stocks to make the big moves of 300%, 500%, 1,000% or more over the span of a few months to a few years along with a historical perspective of why they move the way they move and a strategy of how to take advantage of it that doesn’t require tuning into the news or being glued to a PC all day.
One of the big things you’ll learn in O’Neil’s book is that modeling success is key. The book starts out with over 100 pages of annotated charts of the biggest winning stocks in history. What you’ll quickly notice is that history repeats itself, over and over again.
Anyone can learn to invest wisely with this bestselling investment system!
Through every type of market, William J. O'Neil's national bestseller, How to MakeMoney in Stocks, has shown over 2 million investors the secrets to building wealth.O'Neil's powerful CAN SLIM (R) Investing System-a proven 7-step process for minimizingrisk and maximizing gains-has influenced generations of investors.
Based on a major study of market winners from 1880 to 2009, this expandededition gives you:
Proven techniques for finding winning stocks before they make big price gains
Tips on picking the best stocks, mutual funds, and ETFs to maximize your gains…
I am the author of The Neatest Little Guide to Stock Market Investing and The 3% Signal, among other financial books, and editor of The Kelly Letter. Despite having been ranked by CXO Advisory as one of the best stock-market forecasters, I gave up the practice in favor of price reaction. I realized that nobody knows where stocks are headed, myself included, and set out to find ways to beat the market without forecasting—and succeeded. My readers and I are now much happier and wealthier.
I first encountered Gary Antonacci’s strategy in his paper “Risk Premia Harvesting Through Dual Momentum,” in which he called momentum “the premier market anomaly.” He found that combining absolute and relative momentum delivered optimal results. In this book, he shows how to boost performance with monthly switching among three asset classes in the following decision tree: Did the S&P 500 beat US bonds over the past 12 months? If no, own US bonds. If yes, did the S&P 500 beat global stocks over the past 12 months? If no, own global stocks. If yes, own the S&P 500. Just three funds could power this system: SPY (S&P 500), AGG (US bonds), VEU (global stocks ex US).
The strategy that consistently gets high returns with low risk--because it knows when to adapt
After examining more than two hundred years of data across dozens of markets and asset classes, the conclusion is clear: Momentum continually outperforms. However, most mainstream investors haven't had a way to fully discover and implement the benefits of momentum investing . . . until now! Whether you're an independent investor, investment professional, or money manager, Dual Momentum Investing enables you to consistently profit on major changes in relative strength and market trend.
Based on the award-winning work of Gary Antonacci, an expert in modern…
I am the Founder of Stellar Wealth Partners, a SEBI-registered Research Analyst firm and small case manager for investors in the Indian stock market. I am the author of the international best-seller on value investing, The Joys of Compounding. Once a strong foundation is created for a business, owners don’t work for money. Rather, money works for them. As an investor, your money is working for you 24/7. You are becoming wealthier with each passing second, alongside the increasing intrinsic value of your businesses. An investor builds earnings power through a business ownership mindset.
The book outlines an array of “special situations” that may offer very profitable opportunities, i.e. bankruptcies, restructurings, merger securities, and spinoffs, among others. Greenblatt underscores the importance of a set of basic ‘rules’ when delving into the universe of special situations: do your own work, don’t trust anyone, pick your spot and assess the downside, not the upside. The basic premise of the book is that it pays off to search for areas where there is a high probability of finding undervalued equities. You can make a lot of money sticking to the tried-and-true method of investing in and holding good companies for many years. However, if you are a more experienced investor looking for other areas to invest part of your portfolio in, this book will give you several new places to explore.
A comprehensive and practical guide to the stock market from a successful fund manager—filled with case studies, important background information, and all the tools you’ll need to become a stock market genius.
Fund manager Joel Greenblatt has been beating the Dow (with returns of 50 percent a year) for more than a decade. And now, in this highly accessible guide, he’s going to show you how to do it, too. You’re about to discover investment opportunities that portfolio managers, business-school professors, and top investment experts regularly miss—uncharted areas where the individual investor has a huge advantage over the Wall Street…
I’m an investor from three perspectives or dimensions. First, I manage money for individuals and institutions as Chief Investment Officer of Beacon Trust, a $4 billion registered investment advisor based in NY/NJ. Second, I teach MBA classes in investing at Rutgers Business School, Columbia Business School, London Business School, and Hong Kong University (HKU) Business School. Third, I write articles and books on investing, including The Art of Investing: Lesson’s from History’s Greatest Tradersand Buffett’s Tips: A Guide to Financial Literacy and Life. I’ve personally met Warren Buffett on four separate occasions and think he is an excellent role model from both investing and personal perspectives.
Buffett is probably not thrilled with this book, written by his ex-daughter-in-law, but I think it provides the best insight into his investment process. Mary Buffett was married to Buffett’s son Peter, and David Clark is a Chartered Financial Analyst (CFA) that skillfully explains some of the more technical aspects of investing. For example, the book discussed how Buffett values a stock. He primarily considers companies with a “moat” so he has confidence in forecasting their cash flows. He then projects these cash flows out at least ten years and discounts them back to the present to estimate their value. He will only buy at a significant discount to this estimated or “intrinsic” value.
Here at last is a book that reveals what the public really wants to know about this legendary investor: how he determines where he puts his money. From a team with privileged insight, Mary Buffett, a savvy CEO and Warren Buffett's former daughter-in-law, and David Clark, a successful portfolio analyst, comes Buffettology, the most detailed explanation ever of the billionaire's unique investment techniques. Using Warren Buffett's system to access a company's potential economic excellence and the right price to pay for its stock, Buffettology demonstrates the actual mathematical models and equations, revolving around three variables: the yearly per share earnings…
