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This book is in good condition. The cover has minor creases or bends. The binding is tight and pages are intact. Some pages may have writing or highlighting.

Hardcover edition, as pictured. ISBN #047085667x.

Book is in Used-VeryGood condition. Pages and cover are clean and intact. Used items may not include supplementary materials such as CDs or access codes. May show signs of minor shelf wear and contain very limited notes and highlighting. 0.85

The individual investor's comprehensive guide to momentum investing Quantitative Momentum brings momentum investing out of Wall Street and into the hands of individual investors. In his last book, Quantitative Value, author Wes Gray brought systematic value strategy from the hedge funds to the masses; in this book, he does the same for momentum investing, the system that has been shown to beat the market and regularly enriches the coffers of Wall Street's most sophisticated investors. First, you'll learn what momentum investing is not: it's not 'growth' investing, nor is it an esoteric academic concept. You may have seen it used for asset allocation, but this book details the ways in which momentum stands on its own as a stock selection strategy, and gives you the expert insight you need to make it work for you. You'll dig into its behavioral psychology roots, and discover the key tactics that are bringing both institutional and individual investors flocking into the momentum fold. Systematic investment strategies always seem to look good on paper, but many fall down in practice. Momentum investing is one of the few systematic strategies with legs, withstanding the test of time and the rigor of academic investigation. This book provides invaluable guidance on constructing your own momentum strategy from the ground up. Learn what momentum is and is not Discover how momentum can beat the market Take momentum beyond asset allocation into stock selection Access the tools that ease DIY implementation The large Wall Street hedge funds tend to portray themselves as the sophisticated elite, but momentum investing allows you to 'borrow' one of their top strategies to enrich your own portfolio. Quantitative Momentum is the individual investor's guide to boosting market success with a robust momentum strategy.

This new edition of the classic text by Aki and Richards has at last been updated throughout to systematically explain key concepts in seismology. Now in one volume, the book provides a unified treatment of seismological methods that will be of use to advanced students, seismologists, and scientists and engineers working in all areas of seismology. For the first time, this test is available in paperback.

In the Second Edition of Quantitative Investment Analysis, financial experts Richard DeFusco, Dennis McLeavey, Jerald Pinto, and David Runkle outline the tools and techniques needed to understand and apply quantitative methods to today's investment process. Now, in Quantitative Investment Analysis Workbook, Second Edition, they offer you a wealth of practical information and exercises that will further enhance your understanding of this discipline. This essential study guide--which parallels the main book chapter by chapter--contains challenging problems and a complete set of solutions as well as concise learning outcome statements and summary overviews. If you're looking to successfully navigate today's dynamic investment environment, the lessons found within these pages can show you how. Topics reviewed include: The time value of money Discounted cash flow Probability distributions Sampling and estimation Hypothesis testing Multiple regression Time-series analysis And much more

The individual investor's comprehensive guide to momentum investing Quantitative Momentum brings momentum investing out of Wall Street and into the hands of individual investors. In his last book, Quantitative Value, author Wes Gray brought systematic value strategy from the hedge funds to the masses; in this book, he does the same for momentum investing, the system that has been shown to beat the market and regularly enriches the coffers of Wall Street's most sophisticated investors. First, you'll learn what momentum investing is not: it's not 'growth' investing, nor is it an esoteric academic concept. You may have seen it used for asset allocation, but this book details the ways in which momentum stands on its own as a stock selection strategy, and gives you the expert insight you need to make it work for you. You'll dig into its behavioral psychology roots, and discover the key tactics that are bringing both institutional and individual investors flocking into the momentum fold. Systematic investment strategies always seem to look good on paper, but many fall down in practice. Momentum investing is one of the few systematic strategies with legs, withstanding the test of time and the rigor of academic investigation. This book provides invaluable guidance on constructing your own momentum strategy from the ground up. Learn what momentum is and is not Discover how momentum can beat the market Take momentum beyond asset allocation into stock selection Access the tools that ease DIY implementation The large Wall Street hedge funds tend to portray themselves as the sophisticated elite, but momentum investing allows you to 'borrow' one of their top strategies to enrich your own portfolio. Quantitative Momentum is the individual investor's guide to boosting market success with a robust momentum strategy.

This new edition of the classic text by Aki and Richards has at last been updated throughout to systematically explain key concepts in seismology. Now in one volume, the book provides a unified treatment of seismological methods that will be of use to advanced students, seismologists, and scientists and engineers working in all areas of seismology. For the first time, this test is available in paperback.

Thinking quantitatively about physiology is difficult for many students. However, it is fundamentally important for students to gain a proper understanding of many of the concepts involved. In this enlarged second edition of his popular textbook, Richard Burton gives the reader an opportunity to develop a feel for values such as ion concentrations, lung and fluid volumes, and blood pressures through the use of calculations requiring little more than simple arithmetic. The book provides guidance on how to avoid errors and the usefulness of approximation and "back-of-envelope sums." The topics discussed here include energy metabolism, nerve and muscle, blood and the cardiovascular system, respiration, renal function, body fluids, and acid-base balance. This book is essential reading for physiology students (and teachers) everywhere, both those who are shy or adept with numbers.

In Quantitative Investment Analysis Workbook, Second Edition, financial experts Richard DeFusco, Dennis McLeavey, Jerald Pinto, and David Runkle offer you a wealth of practical information and exercises that will further enhance your understanding of this discipline. This essential study guide—which parallels the main book chapter by chapter—contains challenging problems and a complete set of solutions as well as concise learning outcome statements and summary overviews.

This textbook is both an introduction to quantitative biology and a guide for the number-shy. Richard Burton fosters a sense of the fundamental importance and usefulness of mathematical principles in biology, with a fascinating range of examples. The book is geared toward the nonmathematician, and covers the basics as well as various more advanced topics from many diverse biological disciplines. Questions and calculations encourage active participation without holding up the casual reader. A key feature is the structure of the book. Rather than building it around biological disciplines, Dr. Burton emphasizes the common ways of reasoning used in areas as diverse as insect and population growth, seed mortality, and sensory response (to mention a few that use logarithms).

A comprehensive resource for understanding how to minimize risk and increase profits In this accessible resource, Wall Street trader and quantitative analyst Davis W. Edwards offers a definitive guide for nonprofessionals which describes the techniques and strategies seasoned traders use when making decisions. Risk Management in Trading includes an introduction to hedge fund and proprietary trading desks and offers an in-depth exploration on the topic of risk avoidance and acceptance. Throughout the book Edwards explores the finer points of financial risk management, shows how to decipher the jargon of professional risk-managers, and reveals how non-quantitative managers avoid risk management pitfalls. Avoiding risk is a strategic decision and the author shows how to adopt a consistent framework for risk that compares one type of risk to another. Edwards also stresses the fact that any trading decision that isn't based on the goal of maximizing profits is a decision that should be strongly scrutinized. He also explains that being familiar with all the details of a transaction is vital for making the right investment decision. Offers a comprehensive resource for understanding financial risk management Includes an overview of the techniques and tools professionals use to control risk Shows how to transfer risk to maximize results Written by Davis W. Edwards, a senior manager in Deloitte's Energy Derivatives Pricing Center Risk Management in Trading gives investors a hands-on guide to the strategies and techniques professionals rely on to minimize risk and maximize profits.

Richard Whitt focuses his investigative lens on recent goings-on at the University of Georgia, and in so doing writes a bigger story concerning a sea change in how America supports its institutions of higher education.Behind the Hedges examines Michael Adams's tumultuous career as president of Georgia's flagship university, a tenure marked by intrigue and backroom deals. Whitt probes the relationship among key players in the power struggle and explores the growing importance of private funding to public institutions of higher learning and the influence of nonprofit foundations that raise and manage huge private endowments.

One of the fastest growing investment sectors ever seen, hedge funds are considered by many to be exotic and inaccessible. This book provides an intensive learning experience, defining hedge funds, explaining hedge fund strategies while offering both qualitative and quantitative tools that investors need to access these types of funds. Topics not usually covered in discussions of hedge funds are included, such as a theoretical discussion of each hedge fund strategy followed by trading examples provided by successful hedge fund managers.

One of the fastest growing investment sectors ever seen, hedge funds are considered by many to be exotic and inaccessible. This book provides an intensive learning experience, defining hedge funds, explaining hedge fund strategies while offering both qualitative and quantitative tools that investors need to access these types of funds. Topics not usually covered in discussions of hedge funds are included, such as a theoretical discussion of each hedge fund strategy followed by trading examples provided by successful hedge fund managers.

Commodity Option Pricing: A Practitioner’s Guide covers commodity option pricing for quantitative analysts, traders or structurers in banks, hedge funds and commodity trading companies. Based on the author’s industry experience with commodity derivatives, this book provides a thorough and mathematical introduction to the various market conventions and models used in commodity option pricing. It introduces the various derivative products typically traded for commodities and describes how these models can be calibrated and used for pricing and risk management. The book has been developed with input from traders and examples using real world data, together with relevant up to date academic research. The book includes practical descriptions of market conventions and quote codes used in commodity markets alongside typical products seen in broker quotes and used in calibration. Also discussed are commodity models and their mathematical derivation and volatility surface modelling for traded commodity derivatives. Gold, silver and other precious metals are addressed, including gold forward and gold lease rates, as well as copper, aluminium and other base metals, crude oil and natural gas, refined energy and electricity. There are also sections on the products encountered in commodities such as crack spread and spark spread options and alternative commodities such as carbon emissions, weather derivatives, bandwidth and telecommunications trading, plastics and freight. Commodity Option Pricing is ideal for anyone working in commodities or aiming to make the transition into the area, as well as academics needing to familiarize themselves with the industry conventions of the commodity markets.

The financial industry has adopted Python at a tremendous rate recently, with some of the largest investment banks and hedge funds using it to build core trading and risk management systems. This hands-on guide helps both developers and quantitative analysts get started with Python, and guides you through the most important aspects of using Python for quantitative finance.Using practical examples through the book, author Yves Hilpisch also shows you how to develop a full-fledged framework for Monte Carlo simulation-based derivatives and risk analytics, based on a large, realistic case study. Much of the book uses interactive IPython Notebooks, with topics that include:Fundamentals: Python data structures, NumPy array handling, time series analysis with pandas, visualization with matplotlib, high performance I/O operations with PyTables, date/time information handling, and selected best practicesFinancial topics: mathematical techniques with NumPy, SciPy and SymPy such as regression and optimization; stochastics for Monte Carlo simulation, Value-at-Risk, and Credit-Value-at-Risk calculations; statistics for normality tests, mean-variance portfolio optimization, principal component analysis (PCA), and Bayesian regressionSpecial topics: performance Python for financial algorithms, such as vectorization and parallelization, integrating Python with Excel, and building financial applications based on Web technologies

Commodity Option Pricing: A Practitioner’s Guide covers commodity option pricing for quantitative analysts, traders or structurers in banks, hedge funds and commodity trading companies. Based on the author’s industry experience with commodity derivatives, this book provides a thorough and mathematical introduction to the various market conventions and models used in commodity option pricing. It introduces the various derivative products typically traded for commodities and describes how these models can be calibrated and used for pricing and risk management. The book has been developed with input from traders and examples using real world data, together with relevant up to date academic research. The book includes practical descriptions of market conventions and quote codes used in commodity markets alongside typical products seen in broker quotes and used in calibration. Also discussed are commodity models and their mathematical derivation and volatility surface modelling for traded commodity derivatives. Gold, silver and other precious metals are addressed, including gold forward and gold lease rates, as well as copper, aluminium and other base metals, crude oil and natural gas, refined energy and electricity. There are also sections on the products encountered in commodities such as crack spread and spark spread options and alternative commodities such as carbon emissions, weather derivatives, bandwidth and telecommunications trading, plastics and freight. Commodity Option Pricing is ideal for anyone working in commodities or aiming to make the transition into the area, as well as academics needing to familiarize themselves with the industry conventions of the commodity markets.

Praise for How I Became a Quant "Led by two top-notch quants, Richard R. Lindsey and Barry Schachter, How I Became a Quant details the quirky world of quantitative analysis through stories told by some of today's most successful quants. For anyone who might have thought otherwise, there are engaging personalities behind all that number crunching!" --Ira Kawaller, Kawaller & Co. and the Kawaller Fund "A fun and fascinating read. This book tells the story of how academics, physicists, mathematicians, and other scientists became professional investors managing billions." --David A. Krell, President and CEO, International Securities Exchange "How I Became a Quant should be must reading for all students with a quantitative aptitude. It provides fascinating examples of the dynamic career opportunities potentially open to anyone with the skills and passion for quantitative analysis." --Roy D. Henriksson, Chief Investment Officer, Advanced Portfolio Management "Quants"--those who design and implement mathematical models for the pricing of derivatives, assessment of risk, or prediction of market movements--are the backbone of today's investment industry. As the greater volatility of current financial markets has driven investors to seek shelter from increasing uncertainty, the quant revolution has given people the opportunity to avoid unwanted financial risk by literally trading it away, or more specifically, paying someone else to take on the unwanted risk. How I Became a Quant reveals the faces behind the quant revolution, offering you?the?chance to learn firsthand what it's like to be a?quant today. In this fascinating collection of Wall Street war stories, more than two dozen quants detail their roots, roles, and contributions, explaining what they do and how they do it, as well as outlining the sometimes unexpected paths they have followed from the halls of academia to the front lines of an investment revolution.

with simulations and illustrations by Richard Gray Problem solving is an indispensable part of learning a quantitative science such as neurophysiology. This text for graduate and advanced undergraduate students in neuroscience, physiology, biophysics, and computational neuroscience provides comprehensive, mathematically sophisticated descriptions of modern principles of cellular neurophysiology. It is the only neurophysiology text that gives detailed derivations of equations, worked examples, and homework problem sets (with complete answers). Developed from notes for the course that the authors have taught since 1983, Foundations of Cellular Neurophysiology covers cellular neurophysiology (also some material at the molecular and systems levels) from its physical and mathematical foundations in a way that is far more rigorous than other commonly used texts in this area.