Hi
My understanding is that -
1. modern valuations (e.g. MCEV, Solvency) seek to adopt a market consistent approach.
2. under a market consistent approach, when we set the investment return assumption for insurance liabilities, the expected investment return can be set as the risk-free rate (aka risk-neutral calibration approach).
3. under a market consistent approach, we use the risk-free rate as the discount rate.
4. in other words, the investment return equals the discount rate.
I do not fully understand what are the justifications for that. I can think of two main justifications:
1. a theoretical justification: if we will use the "real" expected return, which is probably higher than the risk-free, then we will have an extra risk. The extra return and the extra risk would be offsetting each other, and we would end up with the same value as if we will use the risk-free.
2. a mathematical justification: it can be shown that we must use risk-free in order to be arbitrage-free, or in order to successfully replicate some market value, or something like that. if this is a valid justification, than my question is: in a risk-neutral valuation we indeed use risk-free, but we also use an adjusted probability measure (i.e. compatible probabilities). who says that the best estimate probabilities are the compatible probabilities?
I would appreciate clarifications. the basic question is why we set the investment return as the risk-free discount rate.
thanks
My understanding is that -
1. modern valuations (e.g. MCEV, Solvency) seek to adopt a market consistent approach.
2. under a market consistent approach, when we set the investment return assumption for insurance liabilities, the expected investment return can be set as the risk-free rate (aka risk-neutral calibration approach).
3. under a market consistent approach, we use the risk-free rate as the discount rate.
4. in other words, the investment return equals the discount rate.
I do not fully understand what are the justifications for that. I can think of two main justifications:
1. a theoretical justification: if we will use the "real" expected return, which is probably higher than the risk-free, then we will have an extra risk. The extra return and the extra risk would be offsetting each other, and we would end up with the same value as if we will use the risk-free.
2. a mathematical justification: it can be shown that we must use risk-free in order to be arbitrage-free, or in order to successfully replicate some market value, or something like that. if this is a valid justification, than my question is: in a risk-neutral valuation we indeed use risk-free, but we also use an adjusted probability measure (i.e. compatible probabilities). who says that the best estimate probabilities are the compatible probabilities?
I would appreciate clarifications. the basic question is why we set the investment return as the risk-free discount rate.
thanks