Question

In: Accounting

Xi ~ Uniform [USD 0, USD 40,000] Population is equally distributed between robust (good health people)...

Xi ~ Uniform [USD 0, USD 40,000] Population is equally distributed between robust (good health people) and frail people (low health people). Robust population do not demand this insurance contract as they expect to have their health care costs lower than the premium amount P= USD 20,000. On the other hand, Frail population decide to purchase this insurance deal as they expect their health care costs greater than the premium amount P= USD 20,000.

• Please define and explain the market situation that insurance company ABC is exposed to in 2019. Please draw a figure with a uniform distribution and clearly show the regions defining market demand for insurance. Summarize insurance company ABC’s financial statement and find expected profit or loss per customer on average. [Hint: Find receivables from customers and payables to customers for health care].

• You are a consultant and you suggest insurance company ABC to raise its insurance premiums to P= USD 30,000 for 2020. Does this new premium save the insurance company’s cash flow when each custumer’s health care costs is USD 30,000 to an insurance company? Please draw a figure with a uniform distribution and clearly show the regions defining market demand for insurance with the new premium. Summarize insurance company ABC’s financial statement and find expected profit or loss per customer on average. [Hint: Find receivables from customers and payables to customers for health care]. Please define and explain the market situation that insurance company ABC is exposed to in 2020 with the new premium.

Solutions

Expert Solution

INSURANCE plays an vital role in the economy nows a days. it protect both from known and unknown events. now a days we face a problem called COVID 19 nobody knows before that it is a epedamic for all. BECAUSE it is belived that future is uncertain, so in order to protect our future we take a health policy.

-But views are different among people to people. everyone have their own theory and discribed accordingly. SOME one belived that we considered more concious to our health and premium paid is just wastful they are called health concious people and other totally opposite to that who spend money to buy policy and protect himself and their family for uncertain future.

There is positive relationship exit between no. of insurer and FRAIL (LOW health people). they paid premium and no. of insurer are high they good from company point of view. they protect their family too.

On the other hand NEGATIVE relationship exit between robust(good health people) and the no. of insurer. total no. of cases are less of these types of family they belived that there exp. on health is much lower than payment on the premium. so they ignore to take policy.

There are various benefit of insurance policy:

# It cocerage against various types of medical expences.

# CASHLESS claim benefit also aries.

# it also covered against critical illness

# tax benfit also in 80C.

2020

- As per graph clearly shows that there is nehative relationship exit between no. of health polcy and the premium amount, as premium amount increases from $20,000 to $30,000  no. of policy taken reduces. Hence it is the policy of the company to raise their policy by reducing premium amount.

Also robut previouly not taken policy with $20,000 now due to increases amount to $30,000 not even to take policy,as argue more premium and there exp on the health concious is lesser.


Related Solutions

Compare health and disease disparities between the American population and people in other countries.
Compare health and disease disparities between the American population and people in other countries.
In a population of 200,000 people, 40,000 are infected with a virus. After a person becomes...
In a population of 200,000 people, 40,000 are infected with a virus. After a person becomes infected and then recovers, the person is immune (cannot become infected again). Of the people who are infected, 5% will die each year and the others will recover. Of the people who have never been infected, 35% will become infected each year. How many people will be infected in 4 years? (Round your answer to the nearest whole number.) ________ people
Let xi, i = 1,2,...,n be independent realizations from a population distributed like a Pareto with...
Let xi, i = 1,2,...,n be independent realizations from a population distributed like a Pareto with unknown mean. (a) Compute the Standard Error of the sample mean. [Note: By“compute”, I mean “find the formula for”]. What is the probability that the sample mean is two standard deviations larger than the popula- tion mean? (b) Suppose the sample mean is 1 and the Standard Error is 2. Con- sider a test of the hypothesis that the population mean is 0, against...
An insurance compnay wants to know if the number of accidents is equally distributed between the...
An insurance compnay wants to know if the number of accidents is equally distributed between the days of the week. One executive believes they are equally distributed. A random sample is selected. At alpha = 0.05 is this assumption true Day ----------mon-- tues-- wed --thur-- fri-- sat-- sun # accidents --28---- 32---- 15----- 14--- 38--- 43--- 19
Macroparasites are rarely distributed throughout a host population in a uniform manner. Describe the types of...
Macroparasites are rarely distributed throughout a host population in a uniform manner. Describe the types of parasite distributions that occur in the field. Explain what processes generate these distributions and why they are important in evaluating the control and treatment of parasitic infections in host populations.
The mean of the uniform distribution between 0 and 1 is μ = 0.5. Estimate this...
The mean of the uniform distribution between 0 and 1 is μ = 0.5. Estimate this value with a 95% confidence interval using samples of 100, 200, 400, 800, 1600, 3200, and 6400. Plot the confidence intervals using the computer and show graphically that the estimates converge to 0.5. Can you show steps in excel or what should I put in column?
100 losses are independent, identically distributed, with a common uniform distribution over (0, 6). Using the...
100 losses are independent, identically distributed, with a common uniform distribution over (0, 6). Using the normal approximation, calculate the probability that the sum of all the losses (the aggregate loss) will exceed 275.
The population of weights for men attending a local health club is normally distributed with a...
The population of weights for men attending a local health club is normally distributed with a mean of 169-lbs and a standard deviation of 30-lbs. An elevator in the health club is limited to 34 occupants, but it will be overloaded if the total weight is in excess of 6290-lbs. Assume that there are 34 men in the elevator. What is the average weight of the 34 men beyond which the elevator would be considered overloaded? average weight =  lbs What...
The population of weights for men attending a local health club is normally distributed with a...
The population of weights for men attending a local health club is normally distributed with a mean of 180-lbs and a standard deviation of 25-lbs. An elevator in the health club is limited to 32 occupants, but it will be overloaded if the total weight is in excess of 6112-lbs. Assume that there are 32 men in the elevator. What is the average weight of the 32 men beyond which the elevator would be considered overloaded? average weight = _________...
The population of weights for men attending a local health club is normally distributed with a...
The population of weights for men attending a local health club is normally distributed with a mean of 173-lbs and a standard deviation of 30-lbs. An elevator in the health club is limited to 35 occupants, but it will be overloaded if the total weight is in excess of 6615-lbs. Assume that there are 35 men in the elevator. What is the average weight of the 35 men beyond which the elevator would be considered overloaded? average weight = lbs...
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT