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Bitcoin functions as a a quasi-commodity currency and I believe it can be priced according to particular factors, variables, instead of simply by the supply and demand in the exchange order book.
The pricing of bitcoins reminds me of the days before options contracts had a standard pricing mechanism. Today, options are valued popularly by the Black-Scholes equation, and no matter how many buyers and sellers there are for an option, that contract will always have a particular known and predictable price, with one variable (Implied Volatility) to account for mispricing outside of that formula. Options of course, are derivatives of an underlying asset and an infinite number of the contracts can be created. Bitcoin on the other hand behaves more like commodity futures to their spot price, where there is a known quantity and a known amount of effort to acquire them.
Ignoring the overly simplistic idea of "supply and demand" imbalances, bitcoin is influenced by the following factors:
- the rate at which new coins can be currently mined
- the future rate at which new coins can be mined, based on perception of mining hardware and how that will affect network difficulty rates
- how many bitcoins remain to be mined
I think these factors can be a greater influence than the speculators currently are, but it would require these factors to be reduced to a formula, as bitcoins are converging to a particular amount. This would allow for changes in volatility (wild swings in bitcoin price) to occur only in anticipation of real world events related to bitcoin.
Has anyone put any effort into pricing bitcoins or cryptocurrencies in general? Perhaps this is an area of study that you might be aware of
By rate, do you mean bitcoins/hash, or bitcoins/week? Because the latter is fixed. – Nick ODell – 2013-03-07T05:40:42.820
@NickODell bitcoins/week is fixed no matter what the difficulty is? lets say 3000 bitcoins can be mined a week, if the difficulty rises above hardware capabilities, 3000 will still be mined? I'm not sure I am familiar with the entire constraints of the algorithm, so if you could elaborate... – CQM – 2013-03-07T06:53:22.353
1The difficulty adjusts to keep pace with hashpower. This is also why there are timestamps on each block. The client looks at those timestamps, and if they are too close, then difficulty goes up. If they are too far apart, then difficulty goes down. – Nick ODell – 2013-03-07T07:50:36.960
1I don't think your analogy works because buyers who want Bitcoins to perform actual transactions are competing for a fixed supply of Bitcoins. If, say, the government only permitted a million options to be sold a year, you could no longer price options using anything as simple as Black-Scholes. (I believe what you're suggesting would be truly revolutionary if possible, but my gut intuition is that with significant research, you might be able to do a bit better than conventional methods.) – David Schwartz – 2013-03-13T07:43:54.577
@Nick ODell The network aims at a fixed number of blocks per week, but this doesn't happen if the network hashrate is decreasing significantly or (as now) increasing significantly. Difficulty will lag in these cases. From the 2nd June to 9th June, for example, over 1300 blocks were solved instead of the expected 1008. – organofcorti – 2013-06-11T15:55:06.603
The real answers to this question are almost surely not in the open literature. – Nate Eldredge – 2013-09-09T18:38:15.907