N
nluashok
Member
Hi,
I am putting my 3 doubts in one page. All are related to quadratic utility function. Request you for helping in understanding of same.
1.Page 18 i.e. Summary page in Chapter 4says "if expected return and variance are used as the basis of investment decisions, it can be shown that this is equivalent to a quadratic utility function."
I am not able to understand these lines. It would be very helpful if these are explained?
2. quadratic utility function has increasing absolute aversion and increasing relative risk aversion. I understand that these means investor will keep lesser amount in risky asset with increase in his asset. HOwever, generally though investor is risk averse, I think he will has decreasing absolute aversion. THen why we use quadratic utility function?
3. Also not able to understand page 11 lines about quadratic utility function "if an investor has a quadratic utility function, the function to be
maximised in applying the expected utility theorem will involve a linear
combination of the first two moments of the distribution of return. Thus variance
of return is an appropriate measure of risk in this case."
Why only two moments needed to explain QUF?
-Ashok
I am putting my 3 doubts in one page. All are related to quadratic utility function. Request you for helping in understanding of same.
1.Page 18 i.e. Summary page in Chapter 4says "if expected return and variance are used as the basis of investment decisions, it can be shown that this is equivalent to a quadratic utility function."
I am not able to understand these lines. It would be very helpful if these are explained?
2. quadratic utility function has increasing absolute aversion and increasing relative risk aversion. I understand that these means investor will keep lesser amount in risky asset with increase in his asset. HOwever, generally though investor is risk averse, I think he will has decreasing absolute aversion. THen why we use quadratic utility function?
3. Also not able to understand page 11 lines about quadratic utility function "if an investor has a quadratic utility function, the function to be
maximised in applying the expected utility theorem will involve a linear
combination of the first two moments of the distribution of return. Thus variance
of return is an appropriate measure of risk in this case."
Why only two moments needed to explain QUF?
-Ashok