I develop a new approach to estimate managerial ability and risk preferences in dynamic models of delegated portfolio management in complete markets. The main complication is that the dynamics of assets under management can often not be discretized exactly. In addition, the investment strategy is not known analytically so that standard discretization methods cannot be applied. I propose to use ...

This paper deals with the study of the optimal control problem for the objective F (x, u, v) = ∫ T 0 f(x(t), x(t− h), ζ(t), u(t), v(t), t)dt, with x ∈ X, u ∈ U, v ∈ V ; X, U and V being vector spaces, and ζ(t) = ∫ h 0 R(t, τ )x(t− τ ) dτ , subject to the differential equation d dtx(t) = m(x(t), x(t− h), ζ(t), u(t), v(t), t) (0 6 t 6 T ), and the constraints g1(u(t), t) ∈ S1, g2(v(t), t) ∈ S2; n...

the purpose of this study was to determine the relationship between motivation and commitment of volunteers in 9th sport olympiad of iran universities. the statistical population of this study included all volunteers (n=240) who participated in this event (women and men). 147 subjects were randomly selected as the sample of this study according to morgan table. kinso (2007) questionnaire was us...

applied optimal control and estimation: digital design and applied optimal control and estimation digital design and applied optimal control and estimation digital design and applied optimal control and estimation; digital design and applied optimal estimation amobbs edexcel physics paper 2 november 2012 elosuk 240ar014 optimization in control & robotics upc dsps for real-time sensing and contr...

In this paper, the continuous optimal control theory is used to model and solve the maximum entropy problem for a continuous random variable. The maximum entropy principle provides a method to obtain least-biased probability density function (Pdf) estimation. In this paper, to find a closed form solution for the maximum entropy problem with any number of moment constraints, the entropy is consi...