what is the difference between information ratio and alpha?
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When analysing fund performance, don't look at the alpha, or active return over the benchmark, in isolation. ... The Information Ratio, on the other hand, is more advanced, as it measures the fund's performance relative to its benchmark and adjusts it for the volatility in the dispersion between the two.
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You can use either P values or confidence intervals to determine whether your results are statistically significant. If a hypothesis test produces both, these results will agree. The confidence level is equivalent to 1 – the alpha level. So, if your significance level is 0.05, the corresponding confidence level is 95%.
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The type I error rate or significance level is the probability of rejecting the null hypothesis given that it is true. It is denoted by the Greek letter α (alpha) and is also called the alpha level.
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And that's the difference between Opacity and Fill. The Opacity value controls the transparency of anything and everything on a layer, including layer styles. The Fill value, on the other hand, affects only the actual contents of the layer, which in my case here was the text.
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['The range of the alpha radiation in an absorbing material is less than that of beta or gamma . The alpha radiation transfers more energy to an absorber than beta or gamma radiation. ... ', 'Beta radiation is more penetrating than alpha radiation. ... ', 'Gamma radiation is the most penetrating of the three radiations.']
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Data are the raw bits and pieces of facts and statistics with no context. ... Information is data that has been given context. Knowledge is information that has been aggregated and analyzed and can be used for making decisions. What is the difference between data, information, and knowledge?
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P-Value Approach The level of significance (alpha) is the area in the critical region. That is, the area in the tails to the right or left of the critical values. The p-value is the area to the right or left of the test statistic. If it is a two tail test, then look up the probability in one tail and double it.
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What's the difference between information and intelligence? Information is knowledge communicated about a particular fact or circumstance. Intelligence is all about finding out information, determining what it means – and then using it to take action!
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The basic difference is that the odds ratio is a ratio of two odds (yep, it's that obvious) whereas the relative risk is a ratio of two probabilities. (The relative risk is also called the risk ratio).
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Generally speaking, a high P/E ratio indicates that investors expect higher earnings. However, a stock with a high P/E ratio is not necessarily a better investment than one with a lower P/E ratio, as a high P/E ratio can indicate that the stock is being overvalued.
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As the emitter current for a common emitter configuration is defined as Ie = Ic + Ib, the ratio of Ic/Ie is called Alpha, given the Greek symbol of α. Note: that the value of Alpha will always be less than unity.
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Alpha diversity is just the diversity of each site (local species pool). Beta diversity represents the differences in species composition among sites. Gamma diversity is the diversity of the entire landscape (regional species pool). Among these, alpha and gamma diversity are fairly straightforward.
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A transistors current gain is given the Greek symbol of Beta, ( β ). As the emitter current for a common emitter configuration is defined as Ie = Ic + Ib, the ratio of Ic/Ie is called Alpha, given the Greek symbol of α. Note: that the value of Alpha will always be less than unity.
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Alpha, the significance level, is the probability that you will make the mistake of rejecting the null hypothesis when in fact it is true. The p-value measures the probability of getting a more extreme value than the one you got from the experiment. If the p-value is greater than alpha, you accept the null hypothesis.
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Difference Between Data and Information. Information is a processed, organised data presented in a given context and is useful to humans. Data is an individual unit that contains raw material which does not carry any specific meaning. ... The average score of a class is the information derived from the given data.
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If you get a large f value, it means something is significant, while a small p value means all your results are significant. The F statistic just compares the joint effect of all the variables together. To put it simply, reject the null hypothesis only if your alpha level is larger than your p value.
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Std Deviation is a % number - while VAR is easily convertible to the $ profit / loss. ... Analytical VaR is based on historical prices of individual securities held in a portfolio at a point in time.