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  2. Value at risk - Wikipedia

    en.wikipedia.org/wiki/Value_at_risk

    However, it can be bounded by coherent risk measures like Conditional Value-at-Risk (CVaR) or entropic value at risk (EVaR). CVaR is defined by average of VaR values for confidence levels between 0 and α. However VaR, unlike CVaR, has the property of being a robust statistic. A related class of risk measures is the 'Range Value at Risk' (RVaR ...

  3. Expected shortfall - Wikipedia

    en.wikipedia.org/wiki/Expected_shortfall

    Expected shortfall is also called conditional value at risk (CVaR), [1] average value at risk (AVaR), expected tail loss (ETL), and superquantile. [ 2 ] ES estimates the risk of an investment in a conservative way, focusing on the less profitable outcomes.

  4. Tail value at risk - Wikipedia

    en.wikipedia.org/wiki/Tail_value_at_risk

    Under some formulations, it is only equivalent to expected shortfall when the underlying distribution function is continuous at ⁡ (), the value at risk of level . [2] Under some other settings, TVaR is the conditional expectation of loss above a given value, whereas the expected shortfall is the product of this value with the probability of ...

  5. Entropic value at risk - Wikipedia

    en.wikipedia.org/wiki/Entropic_value_at_risk

    The entropic value at risk (EVaR) is a coherent risk measure introduced by Ahmadi-Javid, [1] [2] which is an upper bound for the value at risk (VaR) and the conditional value at risk (CVaR), obtained from the Chernoff inequality.

  6. RiskMetrics - Wikipedia

    en.wikipedia.org/wiki/RiskMetrics

    The Marginal VaR of a position with respect to a portfolio can be thought of as the amount of risk that the position is adding to the portfolio. It can be formally defined as the difference between the VaR of the total portfolio and the VaR of the portfolio without the position.

  7. What is VAR, how does it work and what are the biggest ... - AOL

    www.aol.com/var-does-biggest-problems-152001892.html

    That doesn’t mean they don’t occur, though. The Premier League reported that 82 per cent of decisions were correct in the season before VAR was introduced, rising to 94 per cent being correct ...

  8. Reinforcement learning - Wikipedia

    en.wikipedia.org/wiki/Reinforcement_learning

    The main difference between classical dynamic programming methods and reinforcement learning algorithms is that the latter do not assume knowledge of an exact mathematical model of the Markov decision process, and they target large MDPs where exact methods become infeasible. [3]

  9. What is VAR, how does it work and what are the biggest ... - AOL

    www.aol.com/var-does-biggest-problems-140211642.html

    From the Premier League website: VAR will be used only for “clear and obvious errors” or “serious missed incidents” in four match-changing situations: goals; penalty decisions; direct red ...