enow.com Web Search

Search results

  1. Results from the WOW.Com Content Network
  2. Risk matrix - Wikipedia

    en.wikipedia.org/wiki/Risk_matrix

    Risk is the lack of certainty about the outcome of making a particular choice. Statistically, the level of downside risk can be calculated as the product of the probability that harm occurs (e.g., that an accident happens) multiplied by the severity of that harm (i.e., the average amount of harm or more conservatively the maximum credible amount of harm).

  3. Markowitz model - Wikipedia

    en.wikipedia.org/wiki/Markowitz_model

    Risk premium is the product of the market price of risk and the quantity of risk, and the risk is the standard deviation of the portfolio. The CML equation is : R P = I RF + (R M – I RF)σ P /σ M. where, R P = expected return of portfolio I RF = risk-free rate of interest R M = return on the market portfolio σ M = standard deviation of the ...

  4. Tracking error - Wikipedia

    en.wikipedia.org/wiki/Tracking_error

    Under the assumption of normality of returns, an active risk of x per cent would mean that approximately 2/3 of the portfolio's active returns (one standard deviation from the mean) can be expected to fall between +x and -x per cent of the mean excess return and about 95% of the portfolio's active returns (two standard deviations from the mean) can be expected to fall between +2x and -2x per ...

  5. RiskMetrics - Wikipedia

    en.wikipedia.org/wiki/RiskMetrics

    A risk measure is subadditive if for any portfolios A and B, the risk of A+B is never greater than the risk of A plus the risk of B. In other words, the risk of the sum of subportfolios is smaller than or equal to the sum of their individual risks. Standard deviation and expected shortfall are subadditive, while VaR is not.

  6. Jensen's alpha - Wikipedia

    en.wikipedia.org/wiki/Jensen's_alpha

    In finance, Jensen's alpha [1] (or Jensen's Performance Index, ex-post alpha) is used to determine the abnormal return of a security or portfolio of securities over the theoretical expected return. It is a version of the standard alpha based on a theoretical performance instead of a market index .

  7. Single-loss expectancy - Wikipedia

    en.wikipedia.org/wiki/Single-loss_expectancy

    Single-loss expectancy (SLE) is the monetary value expected from the occurrence of a risk on an asset. It is related to risk management and risk assessment . Single-loss expectancy is mathematically expressed as:

  8. Expected utility hypothesis - Wikipedia

    en.wikipedia.org/wiki/Expected_utility_hypothesis

    The expected utility theory takes into account that individuals may be risk-averse, meaning that the individual would refuse a fair gamble (a fair gamble has an expected value of zero). Risk aversion implies that their utility functions are concave and show diminishing marginal wealth utility.

  9. Single-index model - Wikipedia

    en.wikipedia.org/wiki/Single-index_model

    The single-index model (SIM) is a simple asset pricing model to measure both the risk and the return of a stock. The model has been developed by William Sharpe in 1963 and is commonly used in the finance industry.