Too Many to Fail - An Analysis of Time-inconsistency in Bank Closure Policies

2005 ◽  
Author(s):  
Viral V. Acharya ◽  
Tanju Yorulmazer
Keyword(s):  
Time Inconsistency

On closed-loop equilibrium strategies for mean-field stochastic linear quadratic problems

2020 ◽  
Vol 26 ◽  
pp. 41
Author(s):  
Tianxiao Wang
Keyword(s):  
Optimal Control ◽  
Closed Loop ◽  
Optimal Control Problems ◽  
Mean Field ◽  
Open Loop ◽  
Time Inconsistency ◽  
Control Problems ◽  
Linear Quadratic ◽  
Linear Quadratic Optimal Control ◽  
Equilibrium Strategies

This article is concerned with linear quadratic optimal control problems of mean-field stochastic differential equations (MF-SDE) with deterministic coefficients. To treat the time inconsistency of the optimal control problems, linear closed-loop equilibrium strategies are introduced and characterized by variational approach. Our developed methodology drops the delicate convergence procedures in Yong [Trans. Amer. Math. Soc. 369 (2017) 5467–5523]. When the MF-SDE reduces to SDE, our Riccati system coincides with the analogue in Yong [Trans. Amer. Math. Soc. 369 (2017) 5467–5523]. However, these two systems are in general different from each other due to the conditional mean-field terms in the MF-SDE. Eventually, the comparisons with pre-committed optimal strategies, open-loop equilibrium strategies are given in details.

Some Comments on Time-Inconsistency in a Game with Absentmindedness

2000 ◽  
Author(s):  
Nicola Dimitri
Keyword(s):  
Time Inconsistency

Commitment, Flexibility, and Optimal Screening of Time Inconsistency

2012 ◽  
Author(s):  
Simone Galperti
Keyword(s):  
Time Inconsistency ◽  
Optimal Screening

The Rise of Inclusive Political Institutions and Stronger Property Rights: Time Inconsistency Vs. Opacity.

2019 ◽  
Author(s):  
Carmine Guerriero ◽  
Giacomo Benati ◽  
Federico Zaina
Keyword(s):  
Property Rights ◽  
Political Institutions ◽  
Time Inconsistency

Too many to fail—An analysis of time-inconsistency in bank closure policies

2007 ◽  
Vol 16 (1) ◽  
pp. 1-31 ◽  
Author(s):  
Viral V. Acharya ◽  
Tanju Yorulmazer
Keyword(s):  
Time Inconsistency

Average Inflation Targeting: Time Inconsistency and Intentional Ambiguity

2021 ◽  
Author(s):  
Chengcheng Jia ◽  
Jing Cynthia Wu
Keyword(s):  
Inflation Targeting ◽  
Time Inconsistency

scholarly journals Associations Between Control Beliefs and Response Time Inconsistency in Older Adults Vary as a Function of Attentional Task Demands

2018 ◽  
Vol 75 (9) ◽  
pp. 1819-1830
Author(s):  
Eric S Cerino ◽  
Robert S Stawski ◽  
G John Geldhof ◽  
Stuart W S MacDonald
Keyword(s):  
Older Adults ◽  
Locus Of Control ◽  
Response Time ◽  
Cognitive Aging ◽  
Perceived Competence ◽  
Task Demands ◽  
Community Dwelling ◽  
Time Inconsistency ◽  
Control Beliefs ◽  
Choice Response

Abstract Objective Control beliefs are established correlates of cognitive aging. Despite recent demonstrations that response time inconsistency (RTI) represents a proxy for cognitive processing efficiency, few investigations have explored links between RTI and psychosocial correlates. We examined associations among RTI and control beliefs (perceived competence and locus of control) for two choice-response time (RT) tasks varying in their attentional demands. Method Control beliefs and RTI were measured weekly for 5 weeks in a sample of 304 community-dwelling older adults (Mage = 74.11 years, SD = 6.05, range = 64–92, 68.58% female). Results Multilevel models revealed that for the attentionally demanding task, reporting higher perceived competence than usual was associated with lower RTI for relatively younger participants and greater RTI for relatively older participants. For the less attentionally demanding task, reporting higher perceived competence than usual was associated with lower RTI for relatively older participants. Links between locus of control and RTI were comparatively scant. Discussion Our findings suggest that control beliefs may have adaptive and maladaptive influences on RTI, depending on dimension of control beliefs, individual differences in level of control beliefs and age, as well as attentional task demands. Both for whom and when control beliefs can be leveraged to optimize cognitive aging are discussed.

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