We propose a new continuous-time principal-agent model to study the optimal timing of stock-based incentives, when the effects of managerial actions materialize with a lag and are only progressively understood by shareholders. On the one hand, early contingent compensation hedges the manager against the accumulation of exogenous shocks. On the other hand, the fact that initial information asymmetries between the manager and shareholders are progressively resolved suggests that contingent compensation should be postponed. We introduce two possible types of managerial short-termism, and show that they both result in lower-powered incentives and more deferred compensation.
This paper analyzes optimal executive compensation contracts when managers are loss averse. We show ...
We study the optimal dynamics of incentives for a manager whose ability to generate cash flows chang...
Stock-based compensation is the standard solution to agency problems between shareholders and manage...
This paper extends a standard principal-agent model of CEO compensation by modeling the progressive ...
This paper presents a model of optimal executive compensation in a setting where managers are in a p...
While much is made of the inefficiencies of “short-termism ” in executive compensation, in reality v...
We present a multiperiod agency model of stock-based executive compensation in a speculative stock m...
This paper provides a complete characterization of optimal contracts in principal-agent settings whe...
This paper studies a continuous-time agency model in which the agent controls the drift of the geome...
We characterize optimal investment and compensation strategies in a model of an investment opportuni...
This paper explores a continuous-time agency model with double moral hazard. Using a venture capital...
Stock-based compensation is the standard solution to agency problems between shareholders and manage...
We present a multiperiod agency model of stock based executive compensation in a speculative stock m...
Compensation contracts have been criticized for encouraging managers to manipulate information. This...
Business often needs to face the problem of providing incentives for employees to work together effe...
This paper analyzes optimal executive compensation contracts when managers are loss averse. We show ...
We study the optimal dynamics of incentives for a manager whose ability to generate cash flows chang...
Stock-based compensation is the standard solution to agency problems between shareholders and manage...
This paper extends a standard principal-agent model of CEO compensation by modeling the progressive ...
This paper presents a model of optimal executive compensation in a setting where managers are in a p...
While much is made of the inefficiencies of “short-termism ” in executive compensation, in reality v...
We present a multiperiod agency model of stock-based executive compensation in a speculative stock m...
This paper provides a complete characterization of optimal contracts in principal-agent settings whe...
This paper studies a continuous-time agency model in which the agent controls the drift of the geome...
We characterize optimal investment and compensation strategies in a model of an investment opportuni...
This paper explores a continuous-time agency model with double moral hazard. Using a venture capital...
Stock-based compensation is the standard solution to agency problems between shareholders and manage...
We present a multiperiod agency model of stock based executive compensation in a speculative stock m...
Compensation contracts have been criticized for encouraging managers to manipulate information. This...
Business often needs to face the problem of providing incentives for employees to work together effe...
This paper analyzes optimal executive compensation contracts when managers are loss averse. We show ...
We study the optimal dynamics of incentives for a manager whose ability to generate cash flows chang...
Stock-based compensation is the standard solution to agency problems between shareholders and manage...