That would be an example of traditional economy.
Answer:
Cheese is a complement for hamburgers. If the price of hamburgers rises, the quantity of hamburgers demanded will <em>fall</em>, which will lead to a <em>fall in the demand</em> for cheese, as cheese and hamburgers are complements to each other. A rise in price of a complementary good will lead to a fall in demand for the complementary good as well. Because of the change in <em>demand</em> for cheese the equilibrium quantity of cheese will <em>fall</em> and the equilibrium price for cheese will also <em>fall</em>, the demand for milk by cheese producers will <em>decline</em>, causing the equilibrium price of milk to <em>fall</em>. This means producers of butter face <em>lower</em> input prices and the supply of butter will <em>rise</em>. The resulting <em>decline</em> in the price of butter causes people to substitute <em>jam for butter</em>, so the demand for jam will <em>decline</em>.
A stock has an expected return of 13. 24 percent, the risk-free rate is 4. 4 percent, and the market risk premium is 8. 98 percent. 0.75 is the stock's beta.
Calculate the beta for stock using the CAPM approach as follows:
Cost of common stock = Risk-free rate + Beta × Market risk premium
13% 7% + Beta x8%
13% 7% Beta × 8%
6% = Beta x8%
6% 8% Beta = =
=0.75
Therefore, the beta for stock using the CAPM approach is 0.75.
Market risk is the potential for loss to individuals or other companies as a result of factors that affect the overall performance of an investment in financial markets.
Learn more about market risk at
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Answer:
Exception reporting
Explanation:
Which capability of digital dashboards enables users to have reports that highlight deviations larger than certain thresholds?
Drill down
Key performance indicators
Status access
Trend analysis
Exception reporting
Dashboard reporting is a process used to represent key performance indicators and relevant business data in a visual and interactive way and Exception reporting is a method of data analysis that compares an incoming stream of data to an established base set of data and flags items that don't quite match i.e,those instances in which actual performance deviated significantly from expectations and it enables users to have reports that highlight deviations larger than certain thresholds.
