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In finance, relative value is the attractiveness measured in terms of risk, liquidity, and return of one financial asset relative to another, or for a given instrument, of one maturity relative to another. The concept arises in economics, business and investment.
In economics, valuation using multiples, or "relative valuation", is a process that consists of: identifying comparable assets (the peer group) and obtaining market values for these assets. converting these market values into standardized values relative to a key statistic, since the absolute prices cannot be compared.
A relative price is the price of a commodity such as a good or service in terms of another; i.e., the ratio of two prices. A relative price may be expressed in terms of a ratio between the prices of any two goods or the ratio between the price of one good and the price of a market basket of goods (a weighted average of the prices of all other goods available in the market).
The assets in financial portfolios are, for practical purposes, continuously divisible while portfolios of projects are "lumpy". For example, while we can compute that the optimal portfolio position for 3 stocks is, say, 44%, 35%, 21%, the optimal position for a project portfolio may not allow us to simply change the amount spent on a project.
In finance, volatility (usually denoted by "σ") is the degree of variation of a trading price series over time, usually measured by the standard deviation of logarithmic returns. Historic volatility measures a time series of past market prices.
In finance, the Sharpe ratio (also known as the Sharpe index, the Sharpe measure, and the reward-to-variability ratio) measures the performance of an investment such as a security or portfolio compared to a risk-free asset, after adjusting for its risk.
A recent example is disclosed interest rates from 6,688 financial institutions in October, not long after the Fed’s Sept. 18 rate drop. ... The variation comes from a few factors, but bank and ...
Monte Carlo methods are used in corporate finance and mathematical finance to value and analyze (complex) instruments, portfolios and investments by simulating the various sources of uncertainty affecting their value, and then determining the distribution of their value over the range of resultant outcomes.