Answer:
Why can't the Fed push the rate any lower than zero?
Real interest rates can be lower than zero, or negative (because inflation rate is higher than interest rate), but nominal interest rates are generally only limited to zero. But during this same time, the European Central Bank actually started paying negative interest rates on money deposits and many European private banks followed. That means that they charged people for having their money on the bank.
Why do you think that the Fed was so seemingly reluctant to push the rate all the way to the floor?
The reason why the Fed was not willing to push the interest rates to zero or even below zero was that by doing so, the US dollar would have depreciated or lost value. In Europe this was done to encourage people to spend their money and not save as much, but in the US that is not really a problem. Generally in the US the problem is that people spend too much and save too little, but on some European countries and Japan, people tend to save too much. For example in Japan the national savings rate fluctuates between 22-40%, while the maximum savings rate in the US has been 10.4% in 1960, it currently is around 7.6%.
It is possible 1 may sell more than the other or may be somewhat equal I would say false because the companies have different strategies they may each do better things than the other in certain aspects. I would say False but I apologize if I am wrong
Answer:
Demographic variable
Explanation:
Rhoda describes her typical customer as female between the ages of 22 and 35 with at least two years of college education and a household income above $50,000 annually. Rhoda is using demographic variables to describe her customers. A demographic variable is a variable that is collected by researchers to describe the nature and distribution of the sample used with deductive statistics, these are variables such as age, gender, educational level e.t.c. Rhoda describes her typical customer as female between the ages of 22 and 35 with at least two years of college education and a household income above $50,000 annually therefore Rhoda was formulating her customer profile by using information such as gender, age, education level and income level.
Answer:
2.21
Explanation:
Portfolio beta = Respective beta*Respective weight
<em>Beta of market=1;Beta of risk-free assets=0</em>
1.28 = (0.25*0) + (0.31*1) + (0.44*Beta of Stock B)
1.28 = 0 + 0.31 + 0.44*Beta of Stock B
1.28 - 0.31 = 0.44*Beta of Stock B
Beta of Stock B = 0.97/0.44
Beta of Stock B = 2.204545454545455
Beta of Stock B = 2.21