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Hugh Barker

Million Dollar Maths

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Million Dollar Maths is an invaluable guide to the straightforward and outlandish mathematical strategies that can make you rich.
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How can you turn $1000 into $1 million?
What is the best way to beat the lottery odds?
When is the best time to take out a loan?
How did one group of gamblers bet on hole-in-ones to win £500,000?
How can maths help you set up a successful tech start-up?
What about proving the Goldbach Conjecture for $1 million?
Learn the techniques for growing your everyday finances, as well as the common mistakes to avoid. Discover the skills, both fair and foul, that offer an additional edge when investing and gambling. And discover why we often misunderstand probability and statistics — with troubling financial costs.
From making the most of special offers to utilising the power of exponential growth in your investments; from the art of card counting, to inventing the next Google, Million Dollar Maths is the quintessential primer to the myriad ways maths and finance intersect.
Este libro no está disponible por el momento.
398 páginas impresas
Propietario de los derechos de autor
Bookwire
Publicación original
2018
Año de publicación
2018
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  • Ustym Karashchenkocompartió una citael año pasado
    Chapter 1 Summary
    1. Money can be treated as a variable in a comparative value equation.
    2. Use the Rule of 72 for a rough estimate of how rapidly your money will grow.
    3. Exponential growth should be part of your ideal business model.
    4. Unless you can find some magic beans, you will need to learn how to manage risk and uncertainty, and how to make reasonable predictions of future value.
  • Ustym Karashchenkocompartió una citael año pasado
    If you really want to get geeky about it you can use the more precise 69.3 as the numerator and use what is known as the Eckhart–McHale second order rule, which is this equation:

    where t is the number of periods taken to double your money and r is the rate of growth. The second part of this equation helps to improve the accuracy of the estimate for high rates of growth, for which it is otherwise increasingly inaccurate
  • Ustym Karashchenkocompartió una citael año pasado
    If you really want to get geeky about it you can use the more precise 69.3 as the numerator and use what is known as the Eckhart–McHale second order rule, which is this equation:
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