Money Without Boundaries: How Blockchain Will Facilitate the Denationalization of Money

  • 6h 41m 43s
  • Thomas J. Anderson
  • Recorded Books, Inc.
  • 2019

Discover how blockchain will facilitate a new currency that will transcend space and time

Largely inspired by The Denationalization of Money by Fredrich Hayek, Money Without Boundaries' ideological foundation is also inspired by economists and thought leaders like Milton Friedman and Irving Fisher, advancements in capital markets over the past 50 years, and the convergence of old and new technologies. Author Thomas J. Anderson explains how blockchain acts as the filter and the glue, making it all possible.

Compared with other currencies, blockchain-managed money markets are more straightforward and transparent. It is easier to monitor, understand, and assess the quality of their "full-faith and credit." Money Without Boundaries shows how not only money, but also the process of borrowing and lending, will evolve to be conducted in a 100% trusted, secure, transparent, open architecture environment. Anderson begins with a history of money and discusses the rise of cryptocurrency, concluding with a comparison of decentralized money markets to all other alternatives.

If you are interested in cryptocurrency, money, monetary theory, or understanding how the applied uses of blockchain technology will change your everyday life, this is essential listening.

In this Audiobook

  • Chapter 1 - Money Through Time – A Different Perspective
  • Chapter 2 - The Fundamentals of Money
  • Chapter 3 - Banking – An Overview
  • Chapter 4 - The Denationalization of Money
  • Chapter 5 - The Rise of Cryptocurrency
  • Chapter 6 - The Role Model
  • Chapter 7 - Pillar 1 – Modern Portfolio Theory and the Risk-Free Asset
  • Chapter 8 - Pillar 2 – The Credit Theory of Money
  • Chapter 9 - Pillar 3 – Solving the Trust Gap = Blockchain
  • Chapter 10 - Pillar 4 – Capital Markets as a “Technology”
  • Chapter 11 - Transcending Space and Time
  • Chapter 12 - Bringing the Building Blocks Together
  • Chapter 13 - A Neural Network Begins
  • Chapter 14 - Conclusion