Stocks and bonds? Real estate? Hedge funds? Private equity? If you think those are the things to focus on in building an investment portfolio, Andrew Ang has accumulated a body of research that will prove otherwise.
In his new book Asset Management: A Systematic Approach to Factor Investing, Ang upends the conventional wisdom about asset allocation by showing that what matters aren't asset class labels but the bundles of overlapping risks they represent. Making investments is like eating a healthy diet, Ang says: you've got to look through the foods you eat to focus on the nutrients they contain. Failing to do so can lead to a serious case of malnutrition-for investors as well as diners.
The key, in Ang's view, is bad times, and the fact that every investor's bad times are somewhat different. The notion that bad times are paramount is the guiding principle of the book, which offers a new approach to the age-old problem of where do you put your money? Years of experience, both as a finance professor and as a consultant, have led Ang to see that the traditional approach, with its focus on asset classes, is too crude and ultimately too costly to serve investors adequately. He focuses instead on "factor risks," the peculiar sets of hard times that cut across asset classes, and that must be the focus of our attention if we are to weather market turmoil and receive the rewards that come with doing so. Optimally harvesting factor premiums-on our own or by hiring others-requires identifying your particular set of hard times, and exploiting the difference between them and those of the average investor.
Clearly written yet chock-full of the latest research and data, Asset Management will be indispensable reading for trustees, professional money managers, smart private investors, and business students who want to understand the economics behind factor risk premiums, harvest them efficiently in their portfolios, and embark on the search for true alpha.

In Asset Pricing and Portfolio Choice Theory, Kerry E. Back at last offers what is at once a welcoming introduction to and a comprehensive overview of asset pricing. Useful as a textbook for graduate students in finance, with extensive exercises and a solutions manual available for professors, the book will also serve as an essential reference for scholars and professionals, as it includes detailed proofs and calculations as section appendices.
Topics covered include the classical results on single-period, discrete-time, and continuous-time models, as well as various proposed explanations for the equity premium and risk-free rate puzzles and chapters on heterogeneous beliefs, asymmetric information, non-expected utility preferences, and production models. The book includes numerous exercises designed to provide practice with the concepts and to introduce additional results. Each chapter concludes with a notes and references section that supplies pathways to additional developments in the field.

建筑学专业的洛克先生从大学开始就因为不遵循传统说教而被开掉，而听话的另一位先生顺利的毕业并且找到一份好差事。所有人都不喜欢洛克先生，甚至专栏作家也时不时的老羞辱他，洛克爱着的姑娘——也不出所料的跟了那位听话的好好先生……洛克先生活着就是麻烦不断。 在一次政府建筑项目中，那位他的同学，听话的好好先生居然同意了洛克先生独立自主的设计。如果洛克先生能因此获得荣誉，获得成功，并获得尊敬，由此改变世界对他的看法，那真是美好的生活啊。可洛克先生并为因此获得好运气：公众一如既往的反对混子洛克设计建设的这个项目，政府也因此推翻了这个项目，而两位设计者也无法控告政府，政府是无权被告的。洛克先生又一次显示了他混子本色，他搞了一些炸药把那做了一半的楼给炸成一堆碎瓦片子。他也因此而上了法庭，对于自己的行为，他是这么说的：创造是自己的私事，是天赋的权利，维护创造也是同样的天赋个人的权力……
Howard Roark is an architect whose genius and integrity will not be comprised. He has ideas that work against conventional standards.

Based on two popular talks from author Lea Verou—including "CSS3 Secrets: 10 things you may not know about CSS"—this practical guide provides intermediate to advanced CSS developers with more than 40 undocumented techniques and tips for using CSS3 to create better websites.
The talks that spawned this book have been top-rated by attendees in every conference they were presented, and praised in industry media such as .net magazine.
Get information you won’t find in any other book
Learn through small, easily digestible chapters
Helps you understand CSS more deeply so you can improve your own solutions
Apply Lea’s techniques to practically every CSS problem you face
Gain tips from a rockstar author who serves as an Invited Expert in W3C’s CSS Working Group

Do you want easy access to the latest methods in scientific computing? This greatly expanded third edition of Numerical Recipes has it, with wider coverage than ever before, many new, expanded and updated sections, and two completely new chapters. The executable C++ code, now printed in colour for easy reading, adopts an object-oriented style particularly suited to scientific applications. Co-authored by four leading scientists from academia and industry, Numerical Recipes starts with basic mathematics and computer science and proceeds to complete, working routines. The whole book is presented in the informal, easy-to-read style that made earlier editions so popular. Highlights of the new material include: a new chapter on classification and inference, Gaussian mixture models, HMMs, hierarchical clustering, and SVMs; a new chapter on computational geometry, covering KD trees, quad- and octrees, Delaunay triangulation, and algorithms for lines, polygons, triangles, and spheres; interior point methods for linear programming; MCMC; an expanded treatment of ODEs with completely new routines; and many new statistical distributions. For support, or to subscribe to an online version, please visit www.nr.com.
• Most comprehensive book available on scientific computing, now updated • New routines for classification and inference HMMs and SVMs, computational geometry, ODEs, interior point methods for linear programming, and MCMC • Over 600,000 Numerical Recipes products in print
Contents
1. Preliminaries; 2. Solution of linear algebraic equations; 3. Interpolation and extrapolation; 4. Integration of functions; 5. Evaluation of functions; 6. Special functions; 7. Random numbers; 8. Sorting and selection; 9. Root finding and nonlinear sets of equations; 10. Minimization or maximization of functions; 11. Eigensystems; 12. Fast Fourier transform; 13. Fourier and spectral applications; 14. Statistical description of data; 15. Modeling of data; 16. Classification and inference; 17. Integration of ordinary differential equations; 18. Two point boundary value problems; 19. Integral equations and inverse theory; 20. Partial differential equations; 21. Computational geometry; 22. Less-numerical algorithms; References.

We usually consider literary thinking to be peripheral and dispensable, an activity for specialists: poets, prophets, lunatics, and babysitters. Certainly we do not think it is the basis of the mind. We think of stories and parables from Aesop's Fables or The Thousand and One Nights, for example, as exotic tales set in strange lands, with spectacular images, talking animals, and fantastic plots--wonderful entertainments, often insightful, but well removed from logic and science, and entirely foreign to the world of everyday thought. But Mark Turner argues that this common wisdom is wrong. The literary mind--the mind of stories and parables--is not peripheral but basic to thought. Story is the central principle of our experience and knowledge. Parable--the projection of story to give meaning to new encounters--is the indispensable tool of everyday reason. Literary thought makes everyday thought possible. This book makes the revolutionary claim that the basic issue for cognitive science is the nature of literary thinking. In The Literary Mind, Turner ranges from the tools of modern linguistics, to the recent work of neuroscientists such as Antonio Damasio and Gerald Edelman, to literary masterpieces by Homer, Dante, Shakespeare, and Proust, as he explains how story and projection--and their powerful combination in parable--are fundamental to everyday thought. In simple and traditional English, he reveals how we use parable to understand space and time, to grasp what it means to be located in space and time, and to conceive of ourselves, other selves, other lives, and other viewpoints. He explains the role of parable in reasoning, in categorizing, and in solving problems. He develops a powerful model of conceptual construction and, in a far-reaching final chapter, extends it to a new conception of the origin of language that contradicts proposals by such thinkers as Noam Chomsky and Steven Pinker. Turner argues that story, projection, and parable precede grammar, that language follows from these mental capacities as a consequence. Language, he concludes, is the child of the literary mind. Offering major revisions to our understanding of thought, conceptual activity, and the origin and nature of language, The Literary Mind presents a unified theory of central problems in cognitive science, linguistics, neuroscience, psychology, and philosophy. It gives new and unexpected answers to classic questions about knowledge, creativity, understanding, reason, and invention.

The last decade has brought dramatic changes in the way that researchers analyze economic and financial time series. This book synthesizes these recent advances and makes them accessible to first-year graduate students. James Hamilton provides the first adequate text-book treatments of important innovations such as vector autoregressions, generalized method of moments, the economic and statistical consequences of unit roots, time-varying variances, and nonlinear time series models. In addition, he presents basic tools for analyzing dynamic systems (including linear representations, autocovariance generating functions, spectral analysis, and the Kalman filter) in a way that integrates economic theory with the practical difficulties of analyzing and interpreting real-world data. "Time Series Analysis" fills an important need for a textbook that integrates economic theory, econometrics, and new results. The book is intended to provide students and researchers with a self-contained survey of time series analysis. It starts from first principles and should be readily accessible to any beginning graduate student, while it is also intended to serve as a reference book for researchers.

A Pentagon defense expert and former U.S. Army Ranger explores what it would mean to give machines authority over the ultimate decision of life or death.
What happens when a Predator drone has as much autonomy as a Google car? Or when a weapon that can hunt its own targets is hacked? Although it sounds like science fiction, the technology already exists to create weapons that can attack targets without human input. Paul Scharre, a leading expert in emerging weapons technologies, draws on deep research and firsthand experience to explore how these next-generation weapons are changing warfare.
Scharre’s far-ranging investigation examines the emergence of autonomous weapons, the movement to ban them, and the legal and ethical issues surrounding their use. He spotlights artificial intelligence in military technology, spanning decades of innovation from German noise-seeking Wren torpedoes in World War II―antecedents of today’s homing missiles―to autonomous cyber weapons, submarine-hunting robot ships, and robot tank armies. Through interviews with defense experts, ethicists, psychologists, and activists, Scharre surveys what challenges might face "centaur warfighters" on future battlefields, which will combine human and machine cognition. We’ve made tremendous technological progress in the past few decades, but we have also glimpsed the terrifying mishaps that can result from complex automated systems―such as when advanced F-22 fighter jets experienced a computer meltdown the first time they flew over the International Date Line.
At least thirty countries already have defensive autonomous weapons that operate under human supervision. Around the globe, militaries are racing to build robotic weapons with increasing autonomy. The ethical questions within this book grow more pressing each day. To what extent should such technologies be advanced? And if responsible democracies ban them, would that stop rogue regimes from taking advantage? At the forefront of a game-changing debate, Army of None engages military history, global policy, and cutting-edge science to argue that we must embrace technology where it can make war more precise and humane, but without surrendering human judgment. When the choice is life or death, there is no replacement for the human heart.

Portable, powerful, and a breeze to use, Python is the popular open source object-oriented programming language used for both standalone programs and scripting applications. Completely updated for Python 3, the recipes in this book include: Data structures and algorithms Strings and text Dates and times Metaprogramming Testing With scores of practical examples and pertinent background information, the Python Cookbook, 3rd Edition is the one source you need if you're looking to build efficient, flexible, scalable, and well-integrated systems.

Did Supreme Court sell out America's citizens in the nineteenth century, with consequences lasting to this day? Is there a way for American citizens to recover democracy of, by, and for the people? Thom Hartmann takes on these most difficult questions and tells a startling story that will forever change your understanding of American history. Amongst a deep historical context, Hartmann describes the history of the Fourteenth Amendment created at the end of the Civil War to grant basic rights to freed slaves and how it has been used by lawyers representing corporate interests to extend additional rights to businesses far more frequently than to freed slaves. Prior to 1886, corporations were referred to in U.S. law as 'artificial persons.' But in 1886, after a series of cases brought by lawyers representing the expanding railroad interests, the Supreme Court ruled that corporations were 'persons' and entitled to the same rights granted to people under the Bill of Rights. Since this ruling, America has lost the legal structures that allowed for people to control corporate behavior. In this revised and expanded second edition, Hartmann incorporates specific examples from today's headlines and proposes specific legal remedies that could truly save the world from political, economic and ecological disaster.