What Are Risk-Neutral Measures?
Let me tell you directly: a risk-neutral measure is a probability measure we use in mathematical finance to help price derivatives and other financial assets. It gives you a mathematical view of the market's overall risk aversion toward a specific asset, which you have to factor in to get the right price for it.
You might also hear it called an equilibrium measure or equivalent martingale measure.
Risk-Neutral Measures Explained
Financial mathematicians came up with risk-neutral measures to handle the issue of risk aversion in markets for stocks, bonds, and derivatives. Modern financial theory tells us that an asset's current value should equal the present value of its expected future returns. That sounds straightforward, but here's the catch: investors are risk-averse—they're more scared of losing money than excited about gaining it. This often pushes an asset's price below what the expected returns would suggest. So, you and I, along with academics, need to adjust for this risk aversion, and risk-neutral measures are our tool for that.
Risk-Neutral Measures and the Fundamental Theorem of Asset Pricing
You can derive a risk-neutral measure for a market using the assumptions from the fundamental theorem of asset pricing, which is a key framework in financial mathematics for studying real-world markets.
In this theorem, we assume there are no arbitrage opportunities—meaning no investments that reliably make money without any upfront cost. Experience shows this is a solid assumption for modeling actual markets, even if there have been rare exceptions historically. The theorem also assumes markets are complete, with no friction and perfect information for all buyers and sellers. Finally, it assumes every asset has a derivable price. These assumptions aren't always realistic in the real world, but we need them to simplify things when building models.
Only when these assumptions hold can you calculate a single risk-neutral measure. Since the theorem's assumptions distort real market conditions, don't put too much weight on any one calculation when pricing assets in your financial portfolio.
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