Inside the Black Box

Master the basics and intricacies of quant and high-frequency trading with the latest edition of this accessible and widely-read guide In the newly revised third edition of Inside the Black Box: A Simple Guide to Systematic Investing, veteran practitioner and investor Rishi K Narang delivers another insightful discussion of how quantitative and algorithmic trading strategies work in non-mathematical terms. As with prior editions, this third edition is full of timeless concepts and timely updates. Supplemented by compelling anecdotes and real-world stories, the book explains the most relevant developments in the discipline since the publication of the second edition in 2013. You'll find out about the explosion in machine learning for alphas, signal mixing, data extraction, and execution, as well as the proliferation of alt data and a discussion of how to use it appropriately. You'll also discover: Updated discussions of approaches to research Newer and more effective approaches to portfolio optimization The frontiers of quantitative investing An essential and accessible treatment of a complicated and of-the-moment topic, Inside the Black Box remains the gold standard for non-mathematicians seeking to understand the ins and outs of one of the most fascinating and lucrative trading strategies, as well as quants from disciplines outside of finance looking for a conceptual framework on which to build profitable systematic trading strategies.

Master the basics and intricacies of quant and high-frequency trading with the latest edition of this accessible and widely-read guide In the newly revised third edition of Inside the Black Box: A Simple Guide to Systematic Investing, veteran practitioner and investor Rishi K Narang delivers another insightful discussion of how quantitative and algorithmic trading strategies work in non-mathematical terms. As with prior editions, this third edition is full of timeless concepts and timely updates. Supplemented by compelling anecdotes and real-world stories, the book explains the most relevant developments in the discipline since the publication of the second edition in 2013. You'll find out about the explosion in machine learning for alphas, signal mixing, data extraction, and execution, as well as the proliferation of alt data and a discussion of how to use it appropriately. You'll also discover: Updated discussions of approaches to research Newer and more effective approaches to portfolio optimization The frontiers of quantitative investing An essential and accessible treatment of a complicated and of-the-moment topic, Inside the Black Box remains the gold standard for non-mathematicians seeking to understand the ins and outs of one of the most fascinating and lucrative trading strategies, as well as quants from disciplines outside of finance looking for a conceptual framework on which to build profitable systematic trading strategies.

Economists have long treated technological phenomena as events transpiring inside a black box and, on the whole, have adhered rather strictly to a self-imposed ordinance not to inquire too seriously into what transpires inside that box. The purpose of Professor Rosenberg's work is to break open and examine the contents of the black box. In so doing, a number of important economic problems be powerfully illuminated. The author clearly shows how specific features of individual technologies have shaped a number of variables of great concern to economists: the rate of productivity improvement, the nature of learning processes underlying technological change itself, the speed of technology transfer, and the effectiveness of government policies that are intended to influence technologies in particular ways. The separate chapters of this book reflect a primary concern with some of the distinctive aspects of industrial technologies in the twentieth century, such as the increasing reliance upon science, but also the considerable subtlety and complexity of the dialectic between science and technology. Other concerns include the rapid growth in the development of costs associated with new technologies as well as the difficulty of predicting the eventual performance characteristics of newly emerging technologies.

Economists have long treated technological phenomena as events transpiring inside a black box and, on the whole, have adhered rather strictly to a self-imposed ordinance not to inquire too seriously into what transpires inside that box. The purpose of Professor Rosenberg's work is to break open and examine the contents of the black box. In so doing, a number of important economic problems be powerfully illuminated. The author clearly shows how specific features of individual technologies have shaped a number of variables of great concern to economists: the rate of productivity improvement, the nature of learning processes underlying technological change itself, the speed of technology transfer, and the effectiveness of government policies that are intended to influence technologies in particular ways. The separate chapters of this book reflect a primary concern with some of the distinctive aspects of industrial technologies in the twentieth century, such as the increasing reliance upon science, but also the considerable subtlety and complexity of the dialectic between science and technology. Other concerns include the rapid growth in the development of costs associated with new technologies as well as the difficulty of predicting the eventual performance characteristics of newly emerging technologies.