Answer:
The statement that is false about mortgage loans is Advertised rates are annual percentage rates.
Explanation:
Mortgage loan refers to a loan that uses real estate as collateral to receive cash upfront to be redeemed after the loan repayment is completed. if the loan is not remitted as at when due , the lender lays claim to the real estate property.
By increasing the number of payments per year you increase your effective borrowing rate.
When you use a spreadsheet to calculate your interest rates, it uses the periodic interest rate, not the annual percentage rate.
You can find a monthly payment by dividing the annual payment by 12.
However, advertised interest rate are not the same as your loan's annual percentage rate (APR) because other charges like mortgage insurance, closing costs, discount points and loan origination fees apply.
Hanif will supply less tutoring now, shifting supply to the left as he is expecting this price increase in the future.
<h3>What is a supply curve?</h3>
A supply curve, in economics, is a graphic illustration of the connection between product charges and the quantity of product that a vendor is inclined and able to supply.
Product price is measured on the vertical axis of the graph and the number of products provided on the horizontal axis.
Therefore, Hanif will supply less tutoring now, shifting supply to the left as he is expecting this price increase in the future.
learn more about supply curve here:
brainly.com/question/516635
#SPJ1
The answer to this is D. Hope this helped :)
Answer:
2.6%
Explanation:
Jensen Measure is calculated using the below formula
Jensen Alpha = Rp - (Rf + beta*(Rm - Rf))
Where Rp = Return on portfolio = 20%, Rf = risk free rate = 3%, Beta = Beta of portfolio = 1.8 and Rm = Market return = 11%
Jensen Alpha = 20 - (3 + 1.8*(11-3))
Jensen Alpha = 20 - (3 + 1.8*8)
Jensen Alpha = 20 - (3 + 14.4)
Jensen Alpha = 20 - 17.4
Jensen Alpha = 2.6%
Answer:
The correct answer is genetic algorithms
Explanation:
Genetic Algorithms are adaptive methods that can be used to solve search and optimization problems. They are based on the genetic process of living organisms. Throughout the generations, populations evolve in nature according to the principles of natural selection and the survival of the strongest, postulated by Darwin (1859).
By imitating this process, Genetic Algorithms are able to create solutions for real-world problems. The evolution of these solutions towards optimal values of the problem depends to a large extent on their adequate codification.
