Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Naoya Kawadai"'
Publikováno v:
Journal of Asset Management. 23:246-255
Publikováno v:
The Journal of Portfolio Management. 47:197-211
Customer momentum has been demonstrated to be effective in the US and Japanese stock markets but has not been examined using a large global supply chain network. In this article, the authors propose a new customer momentum strategy based on global su
Autor:
Rei Yamamoto, Naoya Kawadai
Publikováno v:
International Journal of Portfolio Analysis and Management. 2:238
In this paper, we focus on the 'Rachev ratio' proposed by Biglova et al. (2004) and propose a new smart beta index using it. This ratio has demonstrated its effectiveness as a performance measure; however, it is difficult to consider it to be a portf
Publikováno v:
Computational Management Science. 7:111-120
This paper is concerned with an algorithm for solving a large scale semi-definite logit model which cannot be solved by an outer approximation (cutting plane) algorithm proposed earlier by one of the authors. Outer approximation algorithm can solve a
Publikováno v:
Optimization Letters. 1:329-340
This paper proposes a two step algorithm for solving a large scale semi-definite logit model, which is appreciated as a powerful model in failure discriminant analysis. This problem has been successfully solved by a cutting plane (outer approximation
Publikováno v:
Journal of Global Optimization. 25:141-155
We will propose an outer-approximation (cutting plane) method for minimizing a function fX subject to semi-definite constraints on the variables X∈Rn. A number of efficient algorithms have been proposed when the objective function is linear. Howeve
Autor:
Naoya Kawadai, Hiroshi Konno
Publikováno v:
Journal of the Operations Research Society of Japan. 44:251-260
Publikováno v:
Computational Management Science. 1
We will propose a new and practical method for estimating the failure probability of a large number of small to medium scale companies using their balance sheet data. We will use the maximum likelihood method to estimate the best parameters of the lo
Publikováno v:
Journal of Global Optimization; Feb2003, Vol. 25 Issue 2, p141-155, 15p