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Blockchain for Financial Markets

Shared ledgers, like blockchain, commoditize trust and revolutionize the way transactions will be performed. In 2015, The World Economic Forum (WEF) forecasted that 10% of the global gross domestic product (GDP) is likely to be stored on the blockchain by 2027. This statement is becoming increasingly realistic now that central banks across the world are developing their own digital currencies.

In this course, we introduce the working of different blockchains, their tokens and smart-contracts, and how these can be used to build new applications offering an enormous potential across industries. In particular we will look into how they attempt to build the foundation for a new financial system managed by open-source and decentralized protocols, often referred to as "Decentralized Finance". Leaving no stones unturned, this course will also cover the strategies and latest developments of central banks to bring their own digital currency on the market.

Now, more than ever, organizations need to understand the potential of blockchain technology and how it might affect their competitive landscape. This course goes deeply into the working of blockchains, helps you navigate through the use-cases for your industry, and sheds light on the regulatory, business and implementation aspects of blockchain.

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  • Date:
  • Venue:
  • This course is only available via LFS LiveLFS Live
  • Fee:
  • £1565 per day
    £3130 total

This course is also available in New York Time Zone and Singapore Time Zone

Who The Course is For
  • Quants / financial engineers
  • Risk managers
  • Strategists and researchers
  • Operations and Technology
Learning Objectives

Delegates will learn about

  • Different types of blockchain and their applications
  • Consensus mechanisms
  • Wallets and Exchanges
  • Tokens
  • Smart Contracts
  • Oracles
  • Decentralised Finance (DeFi)
  • Identity Management
Prior Knowledge
  • Basic understanding of financial transactions and derivatives
  • Familiarity with Microsoft Excel

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