Continuous-time incentives in hierarchies

被引:4
作者
Hubert, Emma [1 ]
机构
[1] Princeton Univ, Dept Operat Res & Financial Engn ORFE, Princeton, NJ 08544 USA
关键词
Principal-agent problem; Moral hazard; Hierarchical contracting; Second-order BSDEs; MORAL HAZARD; VISCOSITY SOLUTIONS; STOCHASTIC-CONTROL; COMPENSATION; SUPERVISION; INFORMATION; LINEARITY; EXISTENCE; RISK;
D O I
10.1007/s00780-023-00506-0
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
This paper studies continuous-time optimal contracting in a hierarchy, generalising the model of Sung (Math. Financ. Econ. 9:195-213, 2015). More precisely, in this hierarchical model, the principal (she) can contract with a manager (he) to incentivise him to act in her best interest, despite only observing the net benefits of the total hierarchy. The manager in turn subcontracts with the agents below him. Both the agents and the manager independently control in continuous time a stochastic process rep-resenting their outcome. First, we show through this continuous-time adaptation of Sung's model that even if the agents only control the drift of their outcome, their manager controls the volatility of their continuation utility by choosing their con-tract sensitivities. This first illustrative example justifies the use of recent results by Cvitanic et al. (Finance Stoch. 22:1-37, 2018) on optimal contracting for drift and volatility control to carefully study continuous-time incentive problems in hierarchy. Some technical and numerical comparisons are provided to highlight the differences with Sung's model. Then, in a second more theoretical part, we provide the method-ology to tackle a more general hierarchy model. The solution is based on the theory of second-order backward stochastic differential equations (2BSDEs), and extends the results in (Cvitanic et al. in Finance Stoch. 22:1-37, 2018) to a multitude of agents with non-trivial interactions, especially concerning volatility control.
引用
收藏
页码:605 / 661
页数:57
相关论文
共 60 条
[1]   Optimal Electricity Demand Response Contracting with Responsiveness Incentives [J].
Aid, Rene ;
Possamai, Dylan ;
Touzi, Nizar .
MATHEMATICS OF OPERATIONS RESEARCH, 2022, 47 (03) :2112-2137
[2]   A PRINCIPAL-AGENT APPROACH TO CAPACITY REMUNERATION MECHANISMS [J].
Alasseur, Clemence ;
Farhat, Heythem ;
Saguan, Marcelo .
INTERNATIONAL JOURNAL OF THEORETICAL AND APPLIED FINANCE, 2020, 23 (08)
[3]  
[Anonymous], 2017, PREPRINT
[4]   Governmental incentives for green bonds investment [J].
Baldacci, Bastien ;
Possamai, Dylan .
MATHEMATICS AND FINANCIAL ECONOMICS, 2022, 16 (03) :539-585
[5]   Optimal Make-Take Fees in a Multi Market-Maker Environment [J].
Baldacci, Bastien ;
Possamai, Dylan ;
Rosenbaum, Mathieu .
SIAM JOURNAL ON FINANCIAL MATHEMATICS, 2021, 12 (01) :446-486
[6]   CONTROLLED DIFFUSION MEAN FIELD GAMES WITH COMMON NOISE AND MCKEAN-VLASOV SECOND [J].
Barrasso, A. ;
Touzi, N. .
THEORY OF PROBABILITY AND ITS APPLICATIONS, 2021, 66 (04) :613-639
[7]   EXISTENCE OF OPTIMAL STOCHASTIC CONTROL LAWS [J].
BENES, VE .
SIAM JOURNAL ON CONTROL, 1971, 9 (03) :446-&
[8]   EXISTENCE OF OPTIMAL STRATEGIES BASED ON SPECIFIED INFORMATION, FOR A CLASS OF STOCHASTIC DECISION PROBLEMS [J].
BENES, VE .
SIAM JOURNAL ON CONTROL, 1970, 8 (02) :179-&
[9]   Large Risks, Limited Liability, and Dynamic Moral Hazard [J].
Biais, Bruno ;
Mariotti, Thomas ;
Rochet, Jean-Charles ;
Villeneuve, Stephane .
ECONOMETRICA, 2010, 78 (01) :73-118
[10]   STOCHASTIC INTEGRATION AND LP-THEORY OF SEMI-MARTINGALES [J].
BICHTELER, K .
ANNALS OF PROBABILITY, 1981, 9 (01) :49-89