One of the big, hairy, black-box mathematical problems in the world of finance is how to create a mathematical model that can predict how well a coin is going to fluctuate in an economic environment, especially in a situation where the market for the coin is highly volatile.
The good news is that there are a number of solutions that have been proposed, including ones that try to find a good model that uses data that’s in the public domain or else a model that has no use for real data at all.
This is the big question for anyone who uses computational finance. How is a coin going to be predicted by a model that doesn’t know anything about the coin? Well, there is a method for doing this that’s called Monte Carlo simulation. This technique has been used successfully before in other areas of economics, and this is the way that one could use it to create a model that predicts the price of a given coin in an economy.
The math behind this is fairly straightforward. The trick is that you want to use a coin that has an edge to you. If two coins are worth exactly the same, then it is optimal to buy both of them – the coin that has the highest expected future return. This coin we call “the expected return.” It represents the amount that you would get if you bought this coin and then waited for a short period of time.
This seems like a fairly obvious idea, but it is worth mentioning because it demonstrates one of the important concepts in the field of computational finance. If you use a coin that has an edge to you, you are going to have a higher expected return. This is because the coin you are using is going to have a much higher probability of changing hands than the other coin. This is important because the coin you are using has the highest expected return.
To take the concept one step further, if you own a coin that is completely random, you are going to have a higher expected return than if you own a coin that is not random at all. This applies to the concept of expected return. The more rare you can make a coin, the higher the expected return. In fact, this concept is so important that it is one of the cornerstones of theoretical finance.
This concept goes back to the first time I heard about the concept of expected utility. When I was a kid I was in a math class and we were asked to prove that it was impossible to be indifferent between two random coins. We were in the middle of class and I remember saying, “Well, if I’m choosing between two coins, I’m going to have the highest expected utility. And that’s the way it is.
Sure, theoretically, you could be indifferent between a bunch of coins, but we are talking about the real world, where all of the coins in existence are identical. So even if I am indifferent between two coins, I can’t feel a difference between them.
That’s actually a great question! But no matter how you look at it, in the real world, it doesn’t make any sense to say you can’t be indifferent between two coins. You could probably just pick the worst of both of them and be indifferent about it.
One of the things that is very difficult to explain to people, is that the real world makes no sense at all. It is literally a world where you do not know the difference between two coins and you can be indifferent to them. In fact, this is a world where we can be indifferent to billions of other coins.