Asset-liability management (ALM) may be defined as the simultaneous planning of all asset and liability positions for a bank, considering the different bank management objectives and the legal, managerial and market constraints, for the purpose of enhancing the value of the bank, providing...

The objective of this paper is to discuss the use of modern frontier efficiency analysis to analyze firm performance in the insurance industry. The objective is to provide the foundations for insurance economists to use in adapting their research to incorporate the frontier efficiency approach....

In this paper we outline the Lagrangian constrained optimization method to solve complex problems subject to constraints. Firstly we summarize the Lagrangian constrained optimization routine. Secondly we outline a detailed implementation strategy. Thirdly and finally we provide example and solve...

We study the optimal loan securitization policy of a commercial bank which is mainly engaged in lending activities. For this we propose a stylized dynamic model which contains the main features affecting the securitization decision. In line with reality we assume that there are non-negligible...

The rapid development of artificial intelligence methods contributes to their wide applications for forecasting various financial risks in recent years. This study introduces a novel explainable case-based reasoning (CBR) approach without a requirement of rich expertise in financial risk....

A consistent framework for optimal liquidity management is presented. This framework optimizes the cost of covering expected cashflow gaps without violating regulatory and business constraints. Anticipated economic value loss, cashflow loss, and adverse market impact are the major drivers of...

In this short technical note we present an efficient algorithm for the maximization of the Liquidity Cover Ratio (LCR) when lower level asset caps are activated. This algorithm acts by selecting the most efficient assets to remove from the pool of such assets in order to maximize the LCR without...

The purpose of this study is to build a system that automatically generates an optimal strategy (AGOS) which can solve the business problem of maximizing the acceptance rate without taking more risks in loan approval process. This paper formulates the finding an optimal approval strategy of a...