The Real Retirement: Why You Could Be Better Off Than You Think, and How to Make That Happen


Frederick Vettese - 2012
    This reassuring book debunks the generally-accepted claims about necessary savings rates, which can cause paranoia among those beginning to contemplate retirement. The authors offer greater insight into planning approaches that are not widely understood, demystifies retirement targets (age, savings, income), and outlines concrete approaches to maximizing retirement savings.Offers practical advice for dealing with the changes to Canada's retirement system Includes advice for calculating your Neutral Retirement Income Target Contains solid financial advice in accessible language Written by the Executive Chairman and Chief Actuary of Morneau Shepell Canada's national actuarial consulting firm The Real Retirement offers a down-to-earth guide for preparing for comfortable retirement and shows what it takes to achieve it.

All About Derivatives (All About Series)


Michael Durbin - 2005
    Using real-world examples and simple language, it lucidly illustrates what derivatives are and why they are so powerful. This second edition of "All About Derivatives" provides a rock-solid foundation on: The most common contracts available to you in today's marketKey concepts such as cost of carry, settlement, valuation, and payoffProven methods for establishing fair valueHow leverage can work for you--and against youThe various derivative contracts traded today, including forwards, futures, swaps, and optionsPricing methods and mathematics for determining fair valueHedging strategies for managing and reducing different types of riskINCLUDES A BRAND-NEW CHAPTER ON THE ROLEDERIVATIVES PLAYED IN THE 2008 FINANCIAL MELTDOWN

Tesla Motors: How Elon Musk and Company Made Electric Cars Cool, and Sparked the Next Tech Revolution


Charles Morris - 2014
    The most trusted sources in the auto industry have called its Model S the most advanced, safest and best-performing car ever built - and it doesn’t use a drop of gasoline. Tesla has changed the way the public perceives electric vehicles, and inspired the major automakers to revive their own dormant efforts to sell EVs. However, even amidst the avalanche of media coverage that followed the triumph of the Model S, few have grasped the true significance of what is happening. Tesla has redefined the automobile, sparked a new wave of innovation comparable to the internet and mobile computing revolutions, and unleashed forces that will transform not just the auto industry, but every aspect of society. The Tesla story is one part of an ongoing tide of change driven by the use of information technology to eliminate “friction” such as geographic distance, middlemen and outdated regulations. Tesla is simply applying the new order to the auto industry, but the automobile is such a pervasive influence in our lives that redefining how it is designed, built, driven and sold will have sweeping effects in unexpected areas. Just as Tesla built the Model S as an electric vehicle “from the ground up,” it has taken an outsider’s approach to the way it markets its cars. Its direct sales model has drawn legal challenges from entrenched auto dealers, who fear that their outdated business model will be destroyed. Its systems approach to the software and electronics in its cars has highlighted how far behind the technological times the major automakers are. It’s easy to see why readers find Tesla irresistible. CEO Elon Musk is a superstar entrepreneur, a “nauseatingly pro-US” immigrant and the leader of two other cutting-edge companies. Tesla dares to challenge the establishment behemoths and, so far at least, has handily beaten them at their own game. In this history of the 21st century’s most exciting startup, Charles Morris begins with a brief history of EVs and a biography of Tesla’s driving force, Elon Musk. He then details the history of the company, told in the words of the Silicon Valley entrepreneurs who made it happen. There are many fascinating stories here: Martin Eberhard’s realization that there were many like himself, who loved fast cars but wanted to help the environment and bring about the post-oil age; the freewheeling first days, reminiscent of the early internet era; the incredible ingenuity of the team who built the Roadster; Tesla’s near-death experience and miraculous resurrection; the spiteful split between the company’s larger-than-life leaders; the gloves-off battles with hostile media such as Top Gear and the New York Times; and the media’s ironic about-face when the magnificent Model S won the industry’s highest honors, and naysayers became cheerleaders overnight. And the story is just beginning: Tesla has breathtakingly ambitious plans for the future.This book was updated May 1, 2015 to include the latest on the Gigafactory and the D package.

The (Mis)Behavior of Markets


Benoît B. Mandelbrot - 1997
    Mandelbrot, one of the century's most influential mathematicians, is world-famous for making mathematical sense of a fact everybody knows but that geometers from Euclid on down had never assimilated: Clouds are not round, mountains are not cones, coastlines are not smooth. To these classic lines we can now add another example: Markets are not the safe bet your broker may claim. In his first book for a general audience, Mandelbrot, with co-author Richard L. Hudson, shows how the dominant way of thinking about the behavior of markets-a set of mathematical assumptions a century old and still learned by every MBA and financier in the world-simply does not work. As he did for the physical world in his classic The Fractal Geometry of Nature, Mandelbrot here uses fractal geometry to propose a new, more accurate way of describing market behavior. The complex gyrations of IBM's stock price and the dollar-euro exchange rate can now be reduced to straightforward formulae that yield a far better model of how risky they are. With his fractal tools, Mandelbrot has gotten to the bottom of how financial markets really work, and in doing so, he describes the volatile, dangerous (and strangely beautiful) properties that financial experts have never before accounted for. The result is no less than the foundation for a new science of finance.

Shares Made Simple: A Beginner's Guide to the Stock Market


Rodney Hobson - 2007
    Financial journalist Hobson tears away the mystique and jargon that surrounds the stock market and takes readers step-by-step through the most basic concepts of investing.

Moneyball: The Art of Winning an Unfair Game


Michael Lewis - 2003
    Conventional wisdom long held that big name, highly athletic hitters and young pitchers with rocket arms were the ticket to success. But Beane and his staff, buoyed by massive amounts of carefully interpreted statistical data, believed that wins could be had by more affordable methods such as hitters with high on-base percentage and pitchers who get lots of ground outs. Given this information and a tight budget, Beane defied tradition and his own scouting department to build winning teams of young affordable players and inexpensive castoff veterans. Lewis was in the room with the A's top management as they spent the summer of 2002 adding and subtracting players and he provides outstanding play-by-play. In the June player draft, Beane acquired nearly every prospect he coveted (few of whom were coveted by other teams) and at the July trading deadline he engaged in a tense battle of nerves to acquire a lefty reliever. Besides being one of the most insider accounts ever written about baseball, Moneyball is populated with fascinating characters. We meet Jeremy Brown, an overweight college catcher who most teams project to be a 15th round draft pick (Beane takes him in the first). Sidearm pitcher Chad Bradford is plucked from the White Sox triple-A club to be a key set-up man and catcher Scott Hatteberg is rebuilt as a first baseman. But the most interesting character is Beane himself. A speedy athletic can't-miss prospect who somehow missed, Beane reinvents himself as a front-office guru, relying on players completely unlike, say, Billy Beane. Lewis, one of the top nonfiction writers of his era (Liar's Poker, The New New Thing), offers highly accessible explanations of baseball stats and his roadmap of Beane's economic approach makes Moneyball an appealing reading experience for business people and sports fans alike. --John Moe

Swing Into It: A Simple System For Trading Pullbacks to the 50-Day Moving Average


T. Livingston - 2018
    Detailing the technical indicators and money management strategies that have worked best for him, T. Livingston breaks down what every savvy trader needs to profit in today’s stock market. Topics discussed include how to analyze the general market, which stocks to trade, when to buy, position sizing, profit targets, and selling rules. Swing Into It provides a variety of different examples so that the reader will be prepared for various market scenarios. Detailed sample trades are included so that the reader can see how Livingston thinks throughout each phase of his trades. If you’re looking to get started in swing trading or seeking to refine your trading system, Swing Into It belongs in your library.

How to Write a Business Plan


Mike McKeever - 1999
    He helps readers make realistic financial projections, develop effective marketing strategies and refine overall business goals. With How to Write a Business Plan, entrepreneurs learn how to: evaluate the profitability of a business idea-estimate operating expenses-prepare cash flow, profit and loss forecasts-determine assets, liabilities and net worth-find potential sources of financing-think first before borrowing from friends and relatives-present your plan to lenders and investors

Principles of Microeconomics


Karl E. Case - 1989
    One of the all time best-sellers, this text is widely used because of its careful, streamlined, and intuitive chapter organization. Case & Fair, present a very precise and simplified microeconomic model first, before introducing all the exceptions and subtleties of a more complex economic world. Only after this simplified model is developed, do the authors give a thorough treatment of market imperfections, externalities, public finance, and international economics. (A detailed summary of this approach can be found on the page directly following the inside front cover).

Introduction to Linear Algebra


Gilbert Strang - 1993
    Topics covered include matrix multiplication, row reduction, matrix inverse, orthogonality and computation. The self-teaching book is loaded with examples and graphics and provides a wide array of probing problems, accompanying solutions, and a glossary. Chapter 1: Introduction to Vectors; Chapter 2: Solving Linear Equations; Chapter 3: Vector Spaces and Subspaces; Chapter 4: Orthogonality; Chapter 5: Determinants; Chapter 6: Eigenvalues and Eigenvectors; Chapter 7: Linear Transformations; Chapter 8: Applications; Chapter 9: Numerical Linear Algebra; Chapter 10: Complex Vectors and Matrices; Solutions to Selected Exercises; Final Exam. Matrix Factorizations. Conceptual Questions for Review. Glossary: A Dictionary for Linear Algebra Index Teaching Codes Linear Algebra in a Nutshell.

The Eudaemonic Pie


Thomas A. Bass - 1985
    “The result is a veritable pi

It's Your Money: How Banking Went Rogue, Where it is Now and How to Protect and Grow Your Money


Alan Kohler - 2019
    He shares his investing philosophy and offers advice on all aspects of financial planning, including engaging an adviser; building a property portfolio; investing in shares, bonds or managed funds; growing your superannuation; and ethical investment.It’s Your Money is an indispensable guide for anyone who wants to do more with their money. Alan shows how, with a few careful steps and some practical wisdom, anyone can invest sensibly and successfully. He gives you the tools to be confidently in charge of your money and your future, your way.It’s Your Money is an indispensable guide for anyone who wants to do more with their money

Electronic Instrumentation And Measurement Techniques


William D. Cooper - 1978
    

In Mary's Arms: A Christmas Message for Mothers


Mary Holland McCann - 2016
    

The Signal and the Noise: Why So Many Predictions Fail—But Some Don't


Nate Silver - 2012
    He solidified his standing as the nation's foremost political forecaster with his near perfect prediction of the 2012 election. Silver is the founder and editor in chief of FiveThirtyEight.com. Drawing on his own groundbreaking work, Silver examines the world of prediction, investigating how we can distinguish a true signal from a universe of noisy data. Most predictions fail, often at great cost to society, because most of us have a poor understanding of probability and uncertainty. Both experts and laypeople mistake more confident predictions for more accurate ones. But overconfidence is often the reason for failure. If our appreciation of uncertainty improves, our predictions can get better too. This is the "prediction paradox": The more humility we have about our ability to make predictions, the more successful we can be in planning for the future.In keeping with his own aim to seek truth from data, Silver visits the most successful forecasters in a range of areas, from hurricanes to baseball, from the poker table to the stock market, from Capitol Hill to the NBA. He explains and evaluates how these forecasters think and what bonds they share. What lies behind their success? Are they good-or just lucky? What patterns have they unraveled? And are their forecasts really right? He explores unanticipated commonalities and exposes unexpected juxtapositions. And sometimes, it is not so much how good a prediction is in an absolute sense that matters but how good it is relative to the competition. In other cases, prediction is still a very rudimentary-and dangerous-science.Silver observes that the most accurate forecasters tend to have a superior command of probability, and they tend to be both humble and hardworking. They distinguish the predictable from the unpredictable, and they notice a thousand little details that lead them closer to the truth. Because of their appreciation of probability, they can distinguish the signal from the noise.