Optimal dynamic investment with learning by doing in the adjustment cost function

1993 ◽  
Vol 38 (1) ◽  
pp. 11-17
Author(s):  
Steffen J�rgensen ◽  
Peter M. Kort
2012 ◽  
Vol 15 (02) ◽  
pp. 1250014 ◽  
Author(s):  
J. WANG ◽  
P. A. FORSYTH

We determine the optimal dynamic investment policy for a mean quadratic variation objective function by numerical solution of a nonlinear Hamilton-Jacobi-Bellman (HJB) partial differential equation (PDE). We compare the efficient frontiers and optimal investment policies for three mean variance like strategies: pre-commitment mean variance, time-consistent mean variance, and mean quadratic variation, assuming realistic investment constraints (e.g. no bankruptcy, finite shorting, borrowing). When the investment policy is constrained, the efficient frontiers for all three objective functions are similar, but the optimal policies are quite different.


2019 ◽  
Author(s):  
Λαμπρινή Συρογιαννούλη

I solve a discrete-time dynamic problem of profit maximization of the representative firm witha power-series adjustment cost function. I focus on the effect of government investment and ofseveral quality-of-institutions variables, such as control of corruption, political stability, andgovernment effectiveness, on private investment. To address this issue, I derive and estimatean Euler equation for investment (EEI) by Dynamic Programming as well as by Calculus-ofVariations. I estimate the EEI using the method of Generalized Methods of Moments (GMM)and annual aggregate data from a panel of 27 OECD countries over the period 1995-2015, aswell as from an expanded panel of 32 countries, to check the robustness of the estimates tosubstantial changes in the sample. My main findings are as follows: First, a crowding-in effectexists, i.e., government investment encourages private investment. Second, the conventional(quadratic) adjustment-cost function is too restrictive, whereas the power-series adjustmentcost function performs better. Third, according to the literature, previous specifications of theEEI fail empirically, whereas the one used here fares better.


Sign in / Sign up

Export Citation Format

Share Document