7 books like The Kelly Capital Growth Investment Criterion

I went to Afghanistan under the first Taliban government as a humanitarian aid worker. During the following decade, I experienced inadequate emotional, mental, and theological support from those who had sent me out. I began to research the field of risk and found a wealth of literature on how humans make decisions, how we see (or don’t see) danger, how to manage risk and fear, and more. We ignore the best practices and common sense of these fields to our peril. I am passionate about helping people not feel isolated and alone when they choose to serve in dangerous situations.

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.

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.

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.

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 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.

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.