Here are 7 books that The Kelly Capital Growth Investment Criterion fans have personally recommended if you like
The Kelly Capital Growth Investment Criterion.
Shepherd is a community of 12,000+ authors and super readers sharing their favorite books with the world.
I have for 28 years helped organizations around the world scale their business. I'm a dedicated innovator and thought leader in artificial intelligence and digital commerce. My passion for innovation thrives in exploring how AI can transform businesses and improve lives. I've authored 10 books and shared my insights as a professional speaker to educate, inspire, and motivate others. I love delving into the future of AI and innovation, which drives me to constantly learn and share knowledge. This list reflects the books that have significantly influenced my journey. My life is about pushing forward, always looking for alternatives to understand where those paths might lead us.
This book transformed my understanding of human cognition. I love how Daniel Kahneman delves into the dual systems that drive our thoughts—intuitive and deliberate.
This book helped me recognize cognitive biases and informed how I develop AI technologies that align with human behavior. It reinforced the importance of designing AI that complements our natural thinking patterns.
The phenomenal international bestseller - 2 million copies sold - that will change the way you make decisions
'A lifetime's worth of wisdom' Steven D. Levitt, co-author of Freakonomics 'There have been many good books on human rationality and irrationality, but only one masterpiece. That masterpiece is Thinking, Fast and Slow' Financial Times
Why is there more chance we'll believe something if it's in a bold type face? Why are judges more likely to deny parole before lunch? Why do we assume a good-looking person will be more competent? The answer lies in the two ways we make choices: fast,…
In my first year as an undergraduate in computer science at the University of Illinois, I took two classes that set the course for my 54-year career (6 years at TRW Systems aerospace firm, and 48 years teaching at Harvard and Princeton Universities): 1) introduction to optimization, and 2) computer algorithms. These topics continue to fascinate me, especially as they relate to improving investment performance via modern optimization technology and data sciences. Optimization plays a critical role in many domains, including supply chains, quantitative finance, and machine learning algorithms. Everyone interested in improving performance ought to understand the successful uses of this proven technology.
There is much evidence that individuals often suffer from inertia when it comes to making significant decisions – including investment choices.
This engaging book by Professor Milkman at the Wharton School aims to create a climate in which “change” can be accomplished in an efficient, systematic, and relatively painless way. There are numerous examples of improvements by both individuals and organizations. This highly readable book is a must for anyone interested in creating and sustaining positive change habits, for example, to encourage increased savings and systematic investment policies.
Professor Milkman is one of our successful undergraduate alums and participates on the advisor committee of the ORFE Department at Princeton. She is a terrific teacher and writer. The lessons in this book are most appropriate for investors who are interested in establishing and maintaining sound habits to improve their investment performance.
'Game-changing. Katy Milkman shows in this book that we can all be a super human' Angela Duckworth, bestselling author of Grit
How to Change is a powerful, groundbreaking blueprint to help you - and anyone you manage, teach or coach - to achieve personal and professional goals, from the master of human nature and behaviour change and Choiceology podcast host Professor Katy Milkman.
Award-winning Wharton Professor Katy Milkman has devoted her career to the study of behaviour change. An engineer by training, she approaches all challenges as problems to be solved and, with this mind-set, has drilled into the roadblocks…
In my first year as an undergraduate in computer science at the University of Illinois, I took two classes that set the course for my 54-year career (6 years at TRW Systems aerospace firm, and 48 years teaching at Harvard and Princeton Universities): 1) introduction to optimization, and 2) computer algorithms. These topics continue to fascinate me, especially as they relate to improving investment performance via modern optimization technology and data sciences. Optimization plays a critical role in many domains, including supply chains, quantitative finance, and machine learning algorithms. Everyone interested in improving performance ought to understand the successful uses of this proven technology.
As a loyal Princeton University alum, Jack Bogle often visited us and participated in discussions at the Bendheim Center for Finance, at our investment workshops, and at reunions, as well as lectures in my and others’ courses at Princeton. Jack had a remarkable ability to take a complicated problem and distill it into simple, intuitive, and understandable terms.
This highly readable book provides several topics worth studying for individuals interested in improving their wealth and risk management activities. It shows Jack’s philosophy and his direct attitude to managing money to minimize costs; it provides an excellent starting point for establishing sound investing steps.
John C. Bogle shares his extensive insights on investing in mutual funds
Since the first edition of Common Sense on Mutual Funds was published in 1999, much has changed, and no one is more aware of this than mutual fund pioneer John Bogle. Now, in this completely updated Second Edition, Bogle returns to take another critical look at the mutual fund industry and help investors navigate their way through the staggering array of investment alternatives that are available to them.
Written in a straightforward and accessible style, this reliable resource examines the fundamentals of mutual fund investing in today's turbulent…
In my first year as an undergraduate in computer science at the University of Illinois, I took two classes that set the course for my 54-year career (6 years at TRW Systems aerospace firm, and 48 years teaching at Harvard and Princeton Universities): 1) introduction to optimization, and 2) computer algorithms. These topics continue to fascinate me, especially as they relate to improving investment performance via modern optimization technology and data sciences. Optimization plays a critical role in many domains, including supply chains, quantitative finance, and machine learning algorithms. Everyone interested in improving performance ought to understand the successful uses of this proven technology.
This book is an outgrowth of a course at Stanford University on applying quantitative methods to improve financial decision making.
Professor Luenberger has a superior talent at writing clear and logical textbooks on optimization topics. He shows the benefits of employing nonlinear programs for several applications, including pricing complex options, and achieving rebalancing gains over time. In his telling, volatility provides an opportunity to improve performance. The linkage of optimization and investing is a special treat.
Investment Science, Second Edition, provides thorough and highly accessible mathematical coverage of the fundamental topics of intermediate investments, including fixed-income securities, capital asset pricing theory, derivatives, and innovations in optimal portfolio growth and valuation of multi-period risky investments. Eminent scholar and teacher David G. Luenberger, known for his ability to make complex ideas simple, presents essential ideas of investments and their applications, offering students the most comprehensive treatment of the subject available. New to this edition Three new chapters: Risk Management, Credit Risk, and Data and Statistics Updated content and expanded coverage of many topics, including the capital asset pricing…
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…
I am the bestselling author of more than 46 romance novels. I love history, enjoy research, and am always looking for little-known facts to make my stories more authentic. Some of those facts have revealed that women in the 19th century often took on occupations, hobbies, or causes that challenged them and sometimes placed them in danger. Although seldom acknowledged as such, women in the 19th century were a force to be reckoned with, although their contributions were often overlooked. But through reading personal accounts, letters of the time, biographies, and nonfiction accounts about various women’s roles, I have gained a greater appreciation for how daring women have been throughout history.
An adventurous lady gambler. I enjoy stories where the heroine is taking on the role usually belonging to the hero. Kelly Bowen is so skilled at giving us characters to care about and root for. This story was a delicious read with a heroine equal to the task of taming the hero. I love Kelly’s writing style and how smoothly her stories flow.
He should have thrown her out. But when club owner Alexander Lavoie catches a mysterious blonde counting cards at his vingt-et-un table, he's more intrigued than angry. He has to see more of this beauty-in his club, in his office, in his bed. But first he'll have to devise a proposition she can't turn down.
Gossip said he was an assassin. Common sense told her to stay away. But Angelique Archer was desperate, and Lavoie's club offered a surefire way to make quick money-until she got caught. Instead of throwing her out though,…
Economics isn't really a good starting point for financial market analysis for the simple reason that its models are wildly inaccurate. As behaviorial economists like Daniel Kahneman have been showing, irrationality and the inability to measure risk properly are a very big component of the investment and trading decisions. But statistical risk management is also sloppy when applied to human behavior because people are not objects that reliably behave the same way under similar circumstances. So when you read an economist about markets or an engineer about risk management, you're missing a lot of the story. In the end, technical analysis is fascinating because how and why humans behave is an enduring mystery.
The subtitle is The Untold Story of the Scientific Betting System that Beat the Casinos and Wall Street. This book is an easy-to-read narrative of the intersection of the grimy underbelly of betting--with high-minded math. It reminds you that trading is not conducted in a clean little bubble. Technical analysis can give you an edge, but trading is still engaging in battle with opposing forces; strategy and tactics can count as much as building an elegant technical system.
Your opponent on the trading battlefield will try to trick you, like a general in real warfare. He may keep selling and selling after you have bought, triggering a sell signal in your trading system. He is hunting for your sell signal. The mechanical response is to sell—your system says sell, and you should follow your system. To exit a position when the market goes against you is named a stop,…
In 1956, two Bell Labs scientists discovered the scientific formula for getting rich. One was mathematician Claude Shannon, neurotic father of our digital age, whose genius is ranked with Einstein's. The other was John L. Kelly Jr., a Texas-born, gun-toting physicist. Together they applied the science of information theory—the basis of computers and the Internet—to the problem of making as much money as possible, as fast as possible.
Shannon and MIT mathematician Edward O. Thorp took the "Kelly formula" to Las Vegas. It worked. They realized that there was even more money to be made in the stock market. Thorp…
