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The index can also be charted over time and used as a kind of technical analysis indicator, to show stocks going into ulcer-forming territory (for one's chosen time-frame), or to compare volatility in different stocks. [4] As with the Sharpe Ratio, a higher value of UPI is better than a lower value (investors prefer more return for less risk).
It measures the returns of the portfolio, adjusted for the risk of the portfolio relative to that of some benchmark (e.g., the market). We can interpret the measure as the difference between the scaled excess return of our portfolio P and that of the market, where the scaled portfolio has the same volatility as the market.
The cyclically adjusted price-to-earnings ratio, commonly known as CAPE, [1] Shiller P/E, or P/E 10 ratio, [2] is a stock valuation measure usually applied to the US S&P 500 equity market. It is defined as price divided by the average of ten years of earnings ( moving average ), adjusted for inflation. [ 3 ]
Not all multiples are based on earnings or cash flow drivers. The price-to-book ratio (P/B) is a commonly used benchmark comparing market value to the accounting book value of the firm's assets. The price/sales ratio and EV/sales ratios measure value relative to sales. These multiples must be used with caution as both sales and book values are ...
The ex-post Sharpe ratio uses the same equation as the one above but with realized returns of the asset and benchmark rather than expected returns; see the second example below. The information ratio is a generalization of the Sharpe ratio that uses as benchmark some other, typically risky index rather than using risk-free returns.
In finance, the Treynor reward-to-volatility model (sometimes called the reward-to-volatility ratio or Treynor measure [1]), named after American economist Jack L. Treynor, [2] is a measurement of the returns earned in excess of that which could have been earned on an investment that has no risk that can be diversified (e.g., Treasury bills or a completely diversified portfolio), per unit of ...
The authors start by proposing an auxiliary function (), where is a vector of portfolio returns, that is defined by: = {+ [(,)] +} They call this the conditional drawdown-at-risk (CDaR); this is a nod to conditional value-at-risk (CVaR), which may also be optimized using linear programming. There are two limiting cases to be aware of:
A risk premium is a measure of excess return that is required by an individual to compensate being subjected to an increased level of risk. [1] It is used widely in finance and economics, the general definition being the expected risky return less the risk-free return, as demonstrated by the formula below. [2]