Under General equilibrium theory prices are determined through market pricing by supply and demand. Here asset prices jointly satisfy the requirement that the quantities of each asset supplied and the quantities demanded must be equal at that price - so called market clearing. These models are born out of modern portfolio theory, with the capital asset pricing model as the prototypical result. Prices here are determined with reference to macroeconomic variables - for the CAPM, the "overall market"; for the CCAPM overall wealth - such that individual preferences are subsumed. These models aim at modeling the statistically derived probability distribution of the market prices of "all" securities at a given future investment horizon; they are thus of "large dimension". See under Mathematical finance. General equilibrium pricing is then used when evaluating diverse portfolios, creating one asset price for many assets. Calculating an investment or share value here, entails: a financial forecast for the business or project in question; where the output cashflows are then discounted at the rate returned by the model selected - this rate in turn reflecting the "riskiness" of these cashflows; these present values are the aggregated. See Financial modeling#Accounting, Valuation using discounted cash flows.
Rational Pricing
Under Rational pricing, derivative prices are calculated such that they are arbitrage-free with respect tomore fundamental securities prices; for an overview of the logic see Rational pricing #Pricing derivatives. In general this approach does not group assets but rather creates a unique risk price for each asset; these models are then of "low dimension". For further discussion, see under Mathematical finance. Calculating option prices combines: a model of the underlying price behavior - ie the asset pricing model selected; and a mathematical method which returns the premium as a function of this behavior. See Valuation of options #Pricing models. The classical model here is Black–Scholes which describes the dynamics of a market including derivatives ; leading more generally to Martingale pricing, as well as the aside models. Black–Scholes assumes a log-normalprocess; the other models will, for example, incorporate features such as mean reversion, or will be "volatility surface aware", applying local volatility and stochastic volatility. Rational pricing is also applied to fixed incomeinstruments, such as bonds ; see Rational pricing #Fixed income securities.
Interrelationship
These principles are interrelated through the Fundamental theorem of asset pricing. Here, "in the absence of arbitrage, the market imposes a probability distribution, called a risk-neutral or equilibrium measure, on the set of possible market scenarios, and... this probability measure determines market prices via discounted expectation". Correspondingly, this essentially means that one may make financial decisions, using the risk neutral probability distribution consistent with observed equilibrium prices. See Financial economics #Arbitrage-free pricing and equilibrium.