Heterogeneity of Investors and Asset Pricing in a Risk-Value World



E (è) W0R

(6)


Varying R parametrically allows us to derive all risk-value efficient port-
folios. In the following the function

f (è) : =


∂F (è)
∂ è


(7)


will be of special importance. From the properties of the risk function
F{Ff < 0, Fzz > 0, and Fzzz < 0), we immediately get:f > 0, fz < 0, fzz > 0.

3.1 Risk-Value Models With an Endogenous Bench-
mark

Using this notation we can write the first order condition for a solution to the
minimization problem (4) - (6) with an endogenous benchmark
è = E(è), (η
is the Lagrange-multiplier of the budget constraint (5) and λ the Lagrange-
multiplier of the payoff constraint (6) ) as6 (after dividing by the probability
density)

-f (eε) + E[f (è)] = ηπε + λ; ε.                    (8)

As E(π) = 1, taking expectations yields

0 = η + λ                            (9)

6The solution of the minimization problem exists and is unique if a) for every e satisfying
the constraints (5) and (6) the value of the objective function is finite and b) for every
λ,η and e satisfying the first order condition (8) E[eτr] is finite [Back and Dybυig 1993].

13



More intriguing information

1. An institutional analysis of sasi laut in Maluku, Indonesia
2. Testing the Information Matrix Equality with Robust Estimators
3. EMU: some unanswered questions
4. Effects of a Sport Education Intervention on Students’ Motivational Responses in Physical Education
5. The name is absent
6. Growth and Technological Leadership in US Industries: A Spatial Econometric Analysis at the State Level, 1963-1997
7. Influence of Mucilage Viscosity On The Globule Structure And Stability Of Certain Starch Emulsions
8. Olfactory Neuroblastoma: Diagnostic Difficulty
9. The name is absent
10. References