Benchmark: S&P 500 Flashcards
What is the law of large numbers?
- The law of large numbers states that the average of a large sample will be close to the true population average and that it will get closer the larger the sample.
- The law of large numbers does not guarantee that a given sample, especially a small sample, will reflect the true population characteristics or that a sample which does not reflect the true population will be balanced by a subsequent sample.
- In business, the term “law of large numbers” is sometimes used in a different sense to express the relationship between scale and growth rates. !
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What is the Beta of a stock?
Measure of how a stock relates to the market. It is the slope of a line.
What does it mean if Beta of a stock is 1?
It means it follows the market.
What does it mean if Beta of a stock is greater than 1?
It means the stock overreacts to the market, ie, if the market is down or up, then it’s really bad or good for the stock
In terms of relating a stock to the market by a regression line, what do the various parts of the line equation mean?
y=mx + B
Y= return on the stock (eg, Apple) X= market return (eg, S&P 500) M= Beta, or relation of stock to market; which is a measure of risk. B= Alpha, a measure of how well the stock returned relative to the market, eg, 0 alpha means it returned what the market returned, negative means it did poorly, positive means out-performance
When would the law of large numbers work?
If each member of the population were independent and each added member were tested to be independent
Why does the law of large numbers fail for the S&P 500?
Because there is interdependence among the stocks
What is idiosyncratic risk?
The risk that a point on a regression line running through a population for a given stock will lie above or below the line through the total market