Cryptocurrency value formation

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Presentation transcript:

Cryptocurrency value formation An empirical study leading to a cost of production model for valuing Bitcoin Adam S. Hayes University of Wisconsin-Madison Ke Xu Olin Business School Washington University in St. Louis 11/29/2018 Ke Xu, Olin Business School

Ke Xu, Olin Business School Virtual world Altcoins Real world Bitcoin 11/29/2018 Ke Xu, Olin Business School

Ke Xu, Olin Business School 11/29/2018 Ke Xu, Olin Business School

Ke Xu, Olin Business School 11/29/2018 Ke Xu, Olin Business School

Ke Xu, Olin Business School 11/29/2018 Ke Xu, Olin Business School

Ke Xu, Olin Business School 11/29/2018 Ke Xu, Olin Business School

Ke Xu, Olin Business School 11/29/2018 Ke Xu, Olin Business School

Ke Xu, Olin Business School What if someone say “I could not get the right output with the seal number” He might have misheard the transactions that were announced in the network He might have miswritten the transactions that were announced in the network He might have tried to cheat or be dishonest when writing transactions, either to favor himself or someone else in the network Whatever sealing number the majority agrees upon, becomes the honest sealing number. The rewards make everyone keep working in the network 11/29/2018 Ke Xu, Olin Business School

Ke Xu, Olin Business School 11/29/2018 Ke Xu, Olin Business School

Ke Xu, Olin Business School What if the majority of the people tend to be dishonest? 51% attack! 11/29/2018 Ke Xu, Olin Business School

Ke Xu, Olin Business School Virtual world Altcoins Real world Bitcoin 11/29/2018 Ke Xu, Olin Business School

Ke Xu, Olin Business School Fundamental variables Total money supply Block Reward Block Time Difficulty Level Market Price Algorithm 21,000,000 for Bitcoin and no more Relatively stable, 12.5 coins per block now, halved per 4 years approximately Around 10 minutes Difficulty retarget mechanism, per 2016 blocks Observed pair prices of Altcoin/Bitcoin on exchanges Cryptologic hash function used as the basis for the protocol, SHA-256d 11/29/2018 Ke Xu, Olin Business School

Ke Xu, Olin Business School No arbitrage Bitcoin is the stable equilibrium digital currency Competition of capital Arbitrage Removing the opportunity Mining Bitcoin Mining Altcoins Mobility of capital in switching mining Market exchange rate adjusts Baseline: rate of return for bitcoin mining (expected bitcoins per day per unit of mining power) 11/29/2018 Ke Xu, Olin Business School

𝐵𝑙𝑜𝑐𝑘𝑇𝑖𝑚𝑒= 𝑑𝑖𝑓𝑓𝑖𝑐𝑢𝑙𝑡𝑦 × 2 32 ℎ𝑎𝑠ℎ𝑟𝑎𝑡𝑒 𝐵𝑙𝑜𝑐𝑘𝑇𝑖𝑚𝑒= 𝑑𝑖𝑓𝑓𝑖𝑐𝑢𝑙𝑡𝑦 × 2 32 ℎ𝑎𝑠ℎ𝑟𝑎𝑡𝑒 𝐵𝑇𝐶 𝑝𝑒𝑟 𝑑𝑎𝑦=𝐵𝑙𝑜𝑐𝑘𝑅𝑒𝑤𝑎𝑟𝑑 × 3600 × 24 𝐵𝑙𝑜𝑐𝑘𝑇𝑖𝑚𝑒 𝐵𝑇𝐶 𝑝𝑒𝑟 𝑑𝑎𝑦= 𝛽𝜌 𝛿 ∙𝜃 Where 𝛽 is the block reward 𝜌 is the hashing power employed by a miner 𝛿 is the difficulty level 𝜃 summarized the constants 𝐵𝑇𝐶 𝑝𝑒𝑟 𝑑𝑎𝑦 𝑎𝑙𝑡𝑐𝑜𝑖𝑛 = 𝛽 𝑎𝑙𝑡𝑐𝑜𝑖𝑛 𝜌 𝛿 𝑎𝑙𝑡𝑐𝑜𝑖𝑛 ∙𝜃 ∙𝜀 Theoretical equilibrium market price(bid): 𝜀 ∗ = 𝐵𝑇𝐶 𝑝𝑒𝑟 𝑑𝑎𝑦 𝛽 𝑎𝑙𝑡𝑐𝑜𝑖𝑛 𝛿 𝑎𝑙𝑡𝑐𝑜𝑖𝑛 ∙𝜃 11/29/2018 Ke Xu, Olin Business School

Ke Xu, Olin Business School No arbitrage Competition of capital Arbitrage Removing the opportunity Mining Bitcoin Mining Altcoins Mobility of capital in switching mining Market exchange rate adjusts And alternatively, 33000 XYZ Coin/day Current market bid = 0.00003996 BTC 33000 * 0.00003996 = 1.32 BTC/day Alice could mine 1 BTC/day based on her mining power Removing the opportunity 11/29/2018 Ke Xu, Olin Business School

Ke Xu, Olin Business School Virtual world Altcoins Real world Bitcoin 11/29/2018 Ke Xu, Olin Business School

Shut-down Price: a cost of production model 𝐵𝑙𝑜𝑐𝑘𝑇𝑖𝑚𝑒= 𝐷𝑖𝑓𝑓𝑖𝑐𝑢𝑙𝑡𝑦 × 2 32 𝐻𝑎𝑠ℎ𝑟𝑎𝑡𝑒 𝐵𝑇𝐶 𝑝𝑒𝑟 𝑑𝑎𝑦=𝐵𝑙𝑜𝑐𝑘𝑅𝑒𝑤𝑎𝑟𝑑 × 3600 × 24 𝐵𝑙𝑜𝑐𝑘𝑇𝑖𝑚𝑒 𝑀𝑎𝑟𝑔𝑖𝑛𝑎𝑙 𝑐𝑜𝑠𝑡=𝑂𝑃𝐸𝑋 𝑝𝑒𝑟 𝑐𝑜𝑖𝑛= 𝑂𝑃𝐸𝑋 𝐵𝑇𝐶 𝑝𝑒𝑟 𝑑𝑎𝑦 11/29/2018 Ke Xu, Olin Business School

Shut-down Price: a cost of production model 26952 68322 11/29/2018 Ke Xu, Olin Business School

Shut-down Price: a cost of production model Website: Digiconomist Bitcoin Energy Consumption Index https://digiconomist.net/bitcoin-energy-consumption 11/29/2018 Ke Xu, Olin Business School

Ke Xu, Olin Business School 11/29/2018 Ke Xu, Olin Business School

Shut-down Price: a cost of production model 𝐵𝑙𝑜𝑐𝑘𝑇𝑖𝑚𝑒= 𝐷𝑖𝑓𝑓𝑖𝑐𝑢𝑙𝑡𝑦 × 2 32 𝐻𝑎𝑠ℎ𝑟𝑎𝑡𝑒 𝐵𝑇𝐶 𝑝𝑒𝑟 𝑑𝑎𝑦=𝐵𝑙𝑜𝑐𝑘𝑅𝑒𝑤𝑎𝑟𝑑 × 3600 × 24 𝐵𝑙𝑜𝑐𝑘𝑇𝑖𝑚𝑒 𝑀𝑎𝑟𝑔𝑖𝑛𝑎𝑙 𝑐𝑜𝑠𝑡=𝑂𝑃𝐸𝑋 𝑝𝑒𝑟 𝑐𝑜𝑖𝑛= 𝑂𝑃𝐸𝑋 𝐵𝑇𝐶 𝑝𝑒𝑟 𝑑𝑎𝑦 11/29/2018 Ke Xu, Olin Business School

Shut-down Price: a cost of production model In 2015 75.33 USD/MWh in Mexico 337.38 USD/MWh in Denmark 35.34 USD/MWh Norway 263.33 USD/MWh in Italy Competitive prices: (Abundant hydro power) South west of China North American continent 11/29/2018 Ke Xu, Olin Business School

Ke Xu, Olin Business School Virtual world Altcoins Real world Bitcoin 11/29/2018 Ke Xu, Olin Business School

Ke Xu, Olin Business School Stable coins Fiat collateralized Tether Crypto collateralized MakerDAO Non-collateralized Basis Carbon Virtual world Altcoins Import Computational power Real world Bitcoin Export services 11/29/2018 Ke Xu, Olin Business School

Ke Xu, Olin Business School Stable coins Virtual world Altcoins Import Computational power Real world Bitcoin Export services 11/29/2018 Ke Xu, Olin Business School