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Some of the popular exchange-traded funds (ETF) traded on the National Stock Exchange of India of 25th April 2024 are [1]. Nippon India Nippon India ETF Nifty 1D Rate Liquid BeES (NSE: LIQUIDBEES) (Formerly called Reliance ETF Liquid BeES)
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 ...
For Brownian walk, Sharpe ratio / is a dimensional quantity and has units /, because the excess return and the volatility are proportional to / and / correspondingly. Kelly criterion is a dimensionless quantity , and, indeed, Kelly fraction μ / σ 2 {\displaystyle \mu /\sigma ^{2}} is the numerical fraction of wealth suggested for the investment.
Category. Mutual fund. ETF. Annual expense (2022)* 0.66 percent for actively managed stock funds; 0.44 for active bond funds. Stock and bond index funds average 0.05 percent
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 ...
Over the past 10 years, the 10 ETFs listed below have provided returns that are at least 77% greater than the average annual return of the S&P 500 over the past decade, at 10.87% as of June 14 ...
According to this model, the return of any stock can be decomposed into the expected excess return of the individual stock due to firm-specific factors, commonly denoted by its alpha coefficient (α), the return due to macroeconomic events that affect the market, and the unexpected microeconomic events that affect only the firm.
The information ratio is often annualized. While it is then common for the numerator to be calculated as the arithmetic difference between the annualized portfolio return and the annualized benchmark return, this is an approximation because the annualization of an arithmetic difference between terms is not the arithmetic difference of the annualized terms. [6]