[Beliefs about order of magnitude of Bitcoin's future value] --> [Beliefs about Bitcoin's future price] --> [Trading decisions]
[Beliefs about order of magnitude of Bitcoin's future value] --> [Beliefs about Bitcoin's future price] --> [Trading decisions]
I mean Bitcoin's past prices don't look much like a random walk. They look more like a random walk on a log scale. If today's price is $1000, then tomorrow's price is equally likely to be $900 or $1111. So if I buy $1000 of Bitcoin today, I expect to have 0.5($900) + 0.5($1111) = $1005.50 tomorrow.
If you were a quant, you would know that random walks on a log scale (geometric Brownian motion) are what people normally use for asset prices. It's what's beneath Black-Scholes, for example. An additive random walk can go negative, which prices can't, but a log random walk is always positive.
(Also note that the fact that the EV is higher tomorrow than today isn't that meaningful, because of time discounting- if the EV tomorrow is the same as the EV today in nominal terms, you should sell and buy something that's expected to go up. How does the expected future growth rate compare to other opportunities?)
The book Fortune's Formula describes a simple investing scheme invented by Claude Shannon, referred to as "Shannon's Demon", that's specifically designed to make money in markets described by log random walks. I found a blog post describing the scheme here. (Some previous discussion.) I'd expect this kind of volatility harvesting scheme to work better for Bitcoins than for other assets because Bitcoins are more volatile.
However, I'm not convinced that the market for Bitcoins is efficient... for example, there are going to be 84 million Litecoins to Bitcoins' 21 million, but typical investors don't know that, so 4 Litecoins for $100 feels like more of a steal than 1 Bitcoin for $100 (even Silicon Valley software engineers commonly forget to account for this basic division operation). There was talk on /r/bitcoin about how once the price got to the $1000 range, people seemed reluctant to invest since it seemed so expensive and how things should be reframed as "mBTC". And I'd expect that quant firms are reluctant to trade bitcoins due to factors like institutional regulation and it not being serious-seeming enough for themselves or their investors.
Our belief about the long-term future value of a single BTC is spread out across a range whose 90% confidence interval is something like [$10, $100,000] for 1BTC.
Do we really ? My own view is quite the opposite - a kinda reverse bell curve, with two possible outcomes :
Bitcoin dies, either because the crypto behind it is broken (due to mathematical progress or Moore's law) or because it gets replaced by other, "second generation" cryptocurrencies, or because states successfully fight it, or any other reason - and then it'll have a very low value, maybe even less than $1 for a BTC.
Bitcoin survives, and then, because it's inherently deflationary (fixed monetary mass for an always growing amount of real world wealth) there is no limit to how high the value of single BTC can grow.
But maybe it depends what exactly "long-term" is ?
Simplicio: There are zillions of exotic markets out there. I think you fixate on Bitcoins because they are fun and shiny. Why not instead try to outguess local real estate markets? You are much more likely to be successful.
Is there a way to outguess real estate markets that doesn't involve buying relatively illiquid properties for thousands of dollars?
BTW, I would be interested in seeing a list of exotic markets if you've got one handy.
This bitcoin conversation has run for almost a week now, and given the site I'd expect the level of reasoning to be quite high, yet when I hit "^Ftax" or "^Fgovern" or "^Fpolitic" almost nothing shows up, which causes me a measure of confusion, because these (much more than "magnitudes") are key nodes in my causal reasoning about the future value of bitcoins.
From my perspective, the plausible socio-political implications of bitcoin are large enough, and different enough from what I see commonly discussed, that it cau...
I'd take bets against Bitcoin resulting in any significant restructuring of government. Remember, Warren Buffett pays lower tax rates than his secretary. Criminals around the world are already quite successful at money laundering. And yet society has not collapsed. This won't collapse it either.
So a word of warning if you are thinking of playing the long-game here. The source of your observation is that bitcoin is (or has been) apparently undervalued.
But an other explanation is that its a bubble. While spot trading in bitcoin is quite liquid, the derivatives markets in bitcoin are fairly untested, relatively new, and fairly low volume. Right now, if I believe bitcoin is expected to climb, I can easily pile in, but shorting bitcoin takes more effort.
As the new bitcoin derivatives markets grow, its will give counterparties with negative opin...
The first line and Simplicio's response seem to be incongruous. Was the question meant to be, "Do you think the Bitcoin markets are inefficient?"
They look more like a random walk on a log scale.
Not surprising - the risk free rate (http://en.wikipedia.org/wiki/Risk-free_rate) is exponential, and any efficient asset has to do at least as well in expectation. So expected exponential growth in asset value is exactly the behaviour you'd expect.
Or put more prosaically: if I invest money at x% interest in a bank, I have exponential growth. Therefore any investment that would tempt me away from a bank account, must offer at least exponential growth.
Several people already pointed out that what is most frequently used as a model for prices is precisely the log random walk. This should have been obvious since no asset can have a negative price, and it is known that the long-term probability of the one-dimensional random walk reaching any specified point (such as zero) is 1 (same for 2D, not so in 3+ D) - this part of how casinos make money.
It is very easy to spot why the random walk model doesn't make sense for prices, just take the sentence that says "If today's Bitcoin price is $1000, then tomorr...
The fact that there are a stock has a random walk behavior in the log-scale does not imply that its expected future price is larger than its current price. Imagine that when a bitcoin is worth 1000$ today it has equal chance tomorrow of going up 100$ or going down 100$. Then if it goes to 900$, it has an equal chance of going up or down 90$ the next day, and similarly, if the price becomes 1100$, it has an equal chance of going up or down 110$. Then the log-price would have variations on the log scale, but at each step the expected value stays the same.
Please place more trust in the competence of mainstream institutions next time.
Salviati's claim at the end reminds me of Einstein asserting that mass has more inertia than you think, but you'll only notice that when its velocity is really high.
Actually, I think a truly efficient market shouldn't just skip around across orders of magnitudes, just because expectations of future prices do. I think truly efficient markets show some degree of "drag", which should be invisible in typical cases like publicly-traded stocks, but become noticeable in cases of order-of-magnitude value-uncertainty like Bitcoin.
Can you elaborate on why you think this is true?
I mean this in the least hostile way possible -- this was an awful post. It was just a complicated way of saying "historically speaking, bitcoin has gone up". Of course it has! We already know that! And for obvious reasons, prices increase according to log scales. But it's also a well known rule of markets that "past trends does not predict future performance".
Of course, I am personally supportive and bullish on bitcoin (as people in IRC can attest). All I'm saying is that your argument is an unnecessarily complex way of arguing that bitcoin is likely to increase in the future because it has increased in price in the past.
Financial markets typically exhibit leptokurtosis, meaning that rare large declines influence the expected value more than a lognormal distribution predicts. A few years of data are often inadequate to measure that.
I have posted this to /r/bitcoin, so as to allow the market to learn of this proposed inefficiency, and thus remove it, should it in fact exist.
Not sure what the lesson is, or the question. An improvised model for explaining the seemingly exponential growth is the belief that there is inherent risk of being forgotten as a currency but that this risk falls exponentially with time or price itself. In this model we have efficient markets as in all knowledge is encoded, random walk and exponential growth.
I am sleepy so have mercy with my reasoning.
Given that it sounds like nobody has actually run the numbers, is there a reason to suspect that bitcoin prices are best modeled by a uniform random walk on the log scale? If it is modeled instead by a weighted random walk with an appropriate negative drift term the expected value of a BTC tomorrow could be exactly equal to today's expected value (or more exactly today's value adjusted for inflation).
Salviati is claiming that his empirical observations show a lack of drag om price shifts, which would be actionable evidence of inefficiency.
There are plenty of revenue sources available even to a government that can't effectively track financial transactions. To name one, you can't hide real estate, or other physical commodities, behind crypto.