Re-Weighted $$\ell _{1}$$ Algorithms within the Lagrange Duality Framework

Author(s):  
Matías Valdés ◽  
Marcelo Fiori
Keyword(s):  
2013 ◽  
Vol 161 (2) ◽  
pp. 368-397 ◽  
Author(s):  
Andreas H. Hamel ◽  
Andreas Löhne

2018 ◽  
Vol 108 (4) ◽  
pp. 575-594
Author(s):  
Kshiteej Sheth ◽  
Dinesh Garg ◽  
Anirban Dasgupta
Keyword(s):  

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-13
Author(s):  
De-Lei Sheng ◽  
Peilong Shen

This paper considers both a top regulation bound and a bottom regulation bound imposed on the asset-liability ratio at the regulatory time T to reduce risks of abnormal high-speed growth of asset price within a short period of time (or high investment leverage), and to mitigate risks of low assets’ return (or a sharp fall). Applying the stochastic optimal control technique, a Hamilton–Jacobi–Bellman (HJB) equation is derived. Then, the effective investment strategy and the minimum variance are obtained explicitly by using the Lagrange duality method. Moreover, some numerical examples are provided to verify the effectiveness of our results.


2015 ◽  
Vol 168 (1) ◽  
pp. 109-128 ◽  
Author(s):  
María D. Fajardo ◽  
Margarita M. L. Rodríguez ◽  
José Vidal

2003 ◽  
Vol 37 (1) ◽  
pp. 17-27
Author(s):  
Mustapha Ç. Pinar
Keyword(s):  

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