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This uniquely comprehensive guide provides expert insights into everything from financial mathematics to the practical realities of asset allocation and pricingInvestors like you typically have a choice to make when seeking guidance for portfolio selection¿either a book of practical, hands-on approaches to your craft or an academic tome of theories and mathematical formulas.From three top experts, Portfolio Selection and Asset Pricing strikes the right balance with an extensive discussion of mathematical foundations of portfolio choice and asset pricing models, and the practice of asset allocation. This thorough guide is conveniently organized into four sections:Mathematical Foundations¿normed vector spaces, optimization in discrete and continuous time, utility theory, and uncertaintyPortfolio Models¿single-period and continuous-time portfolio choice, analogies, asset allocation for a sovereign as an example, and liability-driven allocationAsset Pricing¿capital asset pricing models, factor models, option pricing, and expected returnsRobust Asset Allocation¿robust estimation of optimization inputs, such as the Black-Litterman Model and shrinkage, and robust optimizersWhether you are a sophisticated investor or advanced graduate student, this high-level title combines rigorous mathematical theory with an emphasis on practical implementation techniques.
From the cofounder of a $40 billion software company comes an invaluable guide packed with $1 trillion worth of advice from some of the world's most successful and recognizable entrepreneurs.Over the past 20 years, first as an early employee at Salesforce and later as a cofounder of Okta (a publicly traded software company now valued at over $40 billion), Frederic Kerrest has met the most successful entrepreneurs and investors in Silicon Valley and beyond. He's discussed every angle of entrepreneurship with them-what works, what doesn't, and what to do when things get rough-and he's taken notes. The result is this unmatched blueprint for building and growing a business, drawn from his own experience as well as that of his fellow visionaries and business leaders, who have collectively built over $1 trillion worth of wealth for themselves and their investors. They include Marc Andreessen and Ben Horowitz (Andreessen Horowitz), Eric Yuan (Zoom), Stewart Butterfield (Slack), Aneel Bhusri (Workday), Julia Hartz (Eventbrite), Aaron Levie (Box), Fred Luddy (ServiceNow), Melanie Perkins (Canva), Patty McCord (Netflix), Sebastian Thrun (Udacity), and dozens of other luminaries.These ideas and practices aren't taught in business schools. They've been learned the hard way, through trial and error in the real world of business. Kerrest has battle-tested them himself, so he knows their power. Organized by topic in roughly the order that leaders will encounter them as they scale their businesses, this book is the ultimate guide to taking a company all the way from founding to IPO-and beyond.
Your cutting-edge introduction to radar signal processing-fully updated for the latest advancesThis up-to-date guide provides in-depth coverage of the full breadth of foundational radar signal processing methods of waveform design, Doppler processing, detection, tracking, imaging, and adaptive processing from a digital signal processing perspective. The techniques of linear systems, filtering, sampling, and Fourier analysis are used throughout to provide a unified tutorial approach.Developed from the author's extensive academic and professional experience, Fundamentals of Radar Signal Processing, Third Edition has been revised and updated throughout. Readers will find the solid foundations of earlier editions enhanced with new material on such topics as keystone formatting, detection in spiky clutter, range migration and backprojection imaging, virtual arrays, ground moving target indication, and many more.Presents complete coverage of foundational digital radar signal processing techniquesIntegrates linear FMCW techniques of emerging fields such as automotive radar with pulsed methodsIncludes additional homework problems in all chaptersComes with an online suite of answer keys, solutions manuals, tutorial MATLAB demos, and technical notes
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