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Class #4: Financial Ethics

Thursday, September 26th, 2019

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Class Goals and Outline

  • Understand cryptocurrencies as an experimental representation of value.
  • Understand how money drives behavior in cryptocurrencies.
  • Understand “traditional” financial public policy goals in the context of cryptocurrencies, focusing on Financial Stability.

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Class Goals and Outline

  • Later
    • Wealth Inequality: Class #7: Wealth Inequality and Public Goods
    • Fairness and Securities: Class #10 Securities Law
    • Libra and Unbanked Story: Class #11 Applying EthicalOS to Libra
  • Today
    • Climate Change
    • Programmable Money
    • Responsible Disclosure

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Cryptocurrencies as an experimental representation of value

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Money Has Evolved Over Time

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What Does Money Do?

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http://money.visualcapitalist.com/infographic-the-properties-of-money/

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http://money.visualcapitalist.com/infographic-the-properties-of-money/

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Why Does Bitcoin Have Value?

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But Bitcoin is not just money...

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Categorizing Cryptoassets

  • Money (FinCEN: Financial Crimes Enforcement Network)
  • Security (SEC: Securities and Exchange Commission)
  • Commodity (CFTC: Commodities and Futures Trading Commission)

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Cryptocurrency as Money

  • Store of value, medium of exchange, unit of account
  • FinCEN: Guarding against illicit activities
    • Is money being used for bad things?
    • Money transmitter
    • KYC/AML
  • The Fed: Ensuring financial stability

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Cryptocurrency as a Security

  • SEC: Investor & consumer protection
    • If you’re promising to make someone money, what should the rules be?

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Cryptocurrency as a Commodity

Commodities are used as inputs in the production of other goods or services.

Pay to run smart contracts with “gas” (ETH)

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Commodities and Futures

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Futures are a Derivative

  • Futures (will buy), options (may buy), and swaps (through time).
  • Risk ← → Predictability

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Cryptocurrency as a Commodity

CFTC: Consumer and investor protection

  • Mostly worried about futures (derivatives)

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Comparatize Size of Crypto

$200B

$8T

40x

$70T stocks

$70T money

$700T derivatives

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1. Sound money

2. Internet payments

4. Open Finance

3. Web 3

5. Decentralized ledger technology

https://medium.com/@caseycaruso/the-five-camps-of-crypto-1aa8695b76bc

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Finance is Embedded in Institutions

  • International Institutions: IMF, World Bank
  • Nation-State: Central Banks
  • Companies:
    • Commercial Banks
    • Credit Card Companies
    • Insurance
  • Regulatory Bodies

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What if...

  • Money, security, commodity (derivative)?
  • Store of Value, Medium of Exchange, Unit of Account?
  • Connect to institutions?

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Where Does Money Fit?

Understanding a Complex System

Determining Impacts

Intervening in a Complex System

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Two Levels of Money as a System

Level 1: Incentives drive behavior

Level 2: Keeping money fair and resilient

Public Policy Objectives of Financial Regulation

  • Micro:
    • Consumer & Investor Protection (SEC, CFTC)
    • Guarding against illicit activities (FinCEN)
  • Macro: Financial Stability (The Fed)

(Also, tech-enabled, crypto-specific affordances.)

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Incentives Drive Behavior

Let’s do a dollar auction!

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FOMO3D, an ETH-Based Dollar Auction

  • Start with 1 ETH in the pot
  • Can pay .1 ETH to get the pot if you hold it for 24 hours
  • ...Everyone does this until eventually there’s $12M in the pot
  • Human tricks bots into mispricing gas to win the prize

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Incentives Drive Behavior

POSITIVE

NEGATIVE

  • Greed is good (ambition, motivation) +1
  • Completes the three pillars, SoV, MoE, UoA
  • Can satisfy individual wants
  • Order for society
  • Safety against life shocks
  • Social value in charitable giving
  • Makes markets work +1
  • Can be used as an positive/negative incentive
  • Commodity
  • Greed is bad +1
    • Showmanship
    • Enough?
  • Not equally distributed (inequality) +1
  • Controlled by a central authority (QE) +1
  • Narrative of money as proxy for value (1D vs nD and context) +2
  • Individual return vs
  • Reinforcing feedback loop
  • Externalities
  • Goodhart’s Law (metric is goal)

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Positive

“Perhaps the idea behind capitalism is…: the system facilitates the conversion of selfish aims (or, to be correct, not necessarily benevolent ones) at the individual level into beneficial results for the collective.”

— Nassim Taleb, Antifragile

Greed is Good

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Positive

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In Crypto

  • Tons of money into cryptography and distributed systems research
    • zkSTARKs, zkSHARKs, Bulletproofs, PLONK, SONIC, HALO
  • Security of the network is derived from modeling incentives.

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Negative

  1. People do anything for money
  2. Ignores externalities
  3. Reinforcing feedback loops consolidate power

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  1. People Do Anything for Money
  • 95% of exchange volume faked
  • 25-80% of ICOs are scams or frauds
  • Of the real use, almost all of it is for speculation or gambling

Bitconnect

→ Consumer protection (fair launches and securities: class #10)

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2. Climate Change as an Ignored Externality

  • 2008 white paper. Turn electricity into Bitcoin.

10 years later...

  • 1/500th of global electricity consumption.
  • 1/2,000th of global CO₂ emissions.

How "bad" is this? That involves looking at the costs (+ externalities) and benefits (the Bitcoin network).

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Compared to What?

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Compared to What?

  • Censorship-resistant resistant store of value?
  • Kickstarting non-nation-state money?

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3. Reinforcing Feedback Loops Consolidate Power

Class #7: Wealth inequality and public goods

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Negative

  • People do anything for money
  • Ignores externalities
  • Reinforcing feedback loops consolidate power

  • Coordination problems
  • Doesn’t capture all value
  • Predicated on growth

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Two Levels of Money as a System

Level 1: Incentives drive behavior

Level 2: Keeping money fair and resilient

Public Policy Objectives of Financial Regulation

  • Micro: Consumer Protection
  • Macro: Financial Stability

(Also, tech-enabled, crypto-specific affordances.)

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Financial Stability

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Financial Stability

  • Tech is NOT a highly regulated industry. Finance is.
  • Financial systems “play with” risk. Two big kinds:
    • Systemic or market risks
    • Counterparty risk
  • Connected to “market confidence”.

  • Financial Stability: The absence of system-wide episodes in which the financial system fails to function (crises).
    • Too big to fail

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Example: $440M Lost in HFT

  • Shows the dangers of automation (no human-in-the-loop).
  • Knight Capital deployed code that lost $10M/minute for 45 minutes.
  • 50% of all trading volume.

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Financial Stability

→ loss of market confidence → crisis in BTC/ETH

  • Counterparty Risk
    • Exchanges custodying coins (Mt Gox)
  • Code risk
    • Smart contract (Parity bug)
    • Protocol (IOTA and Bitcoin Cash)
  • Cryptoeconomic Risk
    • Smart contract incentives (MakerDAO)
    • 51% attacks

→ loss of monetary policy → crisis in fiat

  • Fiat-Crypto Connection (Libra’s basket of currencies)

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Counterparty Risk

Mt. Gox “lost” 750,000 BTC

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Counterparty May Be a Contract

Parity Bug

$300M in ETH

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Example: IOTA and Bitcoin Cash

Two security vulnerabilities: IOTA and Bitcoin Cash

  • What was the problem with IOTA? What were the downsides? How did you go about resolving it?
  • What was the problem with Bitcoin Cash? What were the downsides? How did you go about resolving it?
  • How do you think about financial stability and security in these systems more generally?

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Example: IOTA and Bitcoin Cash

  • Both: Consumer protection
  • Bitcoin Cash: Financial Stability

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Example: Stablecoins

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Example: MakerDAO

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Example: MakerDAO

  • Systemic risks to Maker (and DAI)
  • Systemic risks to ETH

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Example: Libra

  • Countries can “dollarize” or “Libra-ize”
  • Then they don’t have control over their monetary policy
  • AND Libra has control over the basket of currencies

Simulation November 19th at HKS

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Financial Stability

→ loss of market confidence → crisis in BTC/ETH

  • Counterparty Risk
    • Exchanges custodying coins (Mt Gox)
  • Code risk
    • Smart contract (Parity bug)
    • Protocol (IOTA and Bitcoin Cash)
  • Cryptoeconomic Risk
    • Smart contract incentives (MakerDAO)
    • 51% attacks

→ loss of monetary policy → crisis in fiat

  • Fiat-Crypto Connection (Libra’s basket of currencies)

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Solutions?

→ loss of market confidence → crisis in BTC/ETH

  • Counterparty Risk
    • Exchanges custodying coins (Mt Gox)
  • Code risk
    • Smart contract (Parity bug)
    • Protocol (IOTA and Bitcoin Cash)
  • Cryptoeconomic Risk
    • Smart contract incentives (MakerDAO)
    • 51% attacks

→ loss of monetary policy → crisis in fiat

  • Fiat-Crypto Connection (Libra’s basket of currencies)

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Class Goals and Outline

  • Understand cryptocurrencies as an experimental representation of value.
  • Understand how money drives behavior in cryptocurrencies.
  • Understand “traditional” financial public policy goals in the context of cryptocurrencies, focusing on Financial Stability.

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Homework for Class #5

  • Reading on Institutional Ethics and post on the forun
  • Cryptoeconomic Systems Summit, Oct 5-6