scholarly journals An asset and liability management (ALM) model using integrated chance constraints

2014 ◽  
Author(s):  
Siti Aida Sheikh Hussin ◽  
Gautam Mitra ◽  
Diana Roman
2018 ◽  
Vol 48 (02) ◽  
pp. 571-609
Author(s):  
Youssouf A. F. Toukourou ◽  
François Dufresne

AbstractWe discuss the role ofintegrated chance constraints(ICC) as quantitative risk constraints in asset and liability management (ALM) for pension funds. We define two types of ICC: theone periodintegrated chance constraint (OICC) and themultiperiodintegrated chance constraint (MICC). As their names suggest, the OICC covers only one period, whereas several periods are taken into account with the MICC. A multistage stochastic linear programming model is therefore developed for this purpose and a special mention is paid to the modeling of the MICC. Based on a numerical example, we first analyze the effects of the OICC and the MICC on the optimal decisions (asset allocation and contribution rate) of a pension fund. By definition, the MICC is more restrictive and safer compared to the OICC. Second, we quantify this MICC safety increase. The results show that although the optimal decisions from the OICC and the MICC differ, the total costs are very close, showing that the MICC is definitely a better approach since it is more prudent.


Motivated by the large number of banking studies in Indonesia that have not included NOP (Net Open Position) in profitability modeling, our research aims to realize this. As for the reason for the importance of the Net Open Position (NOP) variable, it is almost certain that all banks will use foreign currency items in their asset and liability management activities. All commercial banks in the BUKU level 1, 2, 3 and 4 will definitely be involved in demand deposits as a consequence of continuing financial market activities to safeguard the economic activities of a country. By referring to previous research models from Al-Omar, et.al. (2008), Albulescu (2015), Muhmad & Hashim (2015), Menicucci & Paolucci (2016) and Saputri & Oetomo (2016) then identified four determinants of bank profitability variables, namely CAR, NPL, NOP and LDR. These four variables will then be defined conceptually and formulas referring to banking theory applicable in Indonesia, namely CAMEL (Capital, Management, Asset, Earning and Liquidity). Each variable will function as a bank specific factor that will determine the profitability of the bank both grossly as measured by ROA and net measured by ROE. Results of the test with panel data regression show that the NOP variable is always a determining factor in the ROA and the ROE models. This also provides evidence that NOP is indeed very important in determining ROA and ROE for bankers. With the proven NOP as the main determinant, the argument is supported that commercial banks must pay attention to the foreign exchange items in their asset and liability management. In addition to NOP, NPL is also important for determining ROA and ROE of banks.


2018 ◽  
Vol 12 (3) ◽  
pp. 175
Author(s):  
José Jonas Alves Correia ◽  
Andreza Cristiane Silva de Lima

<p>O objetivo deste estudo é analisar a produção acadêmica acerca do tema <em>Asset and Liability Management</em>, publicado nos principais periódicos internacionais, no período de 1961 a 2016, termo este, no Brasil tratado pela expressão Gestão de Ativos e Passivos. Realizou-se um estudo bibliométrico, que consistiu numa abordagem metodológica mista no que concerne ao problema investigado. Utilizou-se a base de dados <em>Scopus, </em>cujo filtro ocorreu com a inserção do termo <em>“asset and liabitity management” </em>entre 1961 a 2016. Os resultados identificados baseiam-se em 71 artigos. O período em que mais se produziu sobre o tema foi no ano de 2010, foi motivado pela exploração de pesquisas operacionais em bancos e outras instituições financeiras pós-crise. O achado referente aos países que mais pesquisam sobre o tema se correlaciona com os resultados dos pesquisadores mais proficientes da área. Assim, conclui-se que o estudo trouxe contribuições acadêmicas, ao passo que investiga o estado da arte do tema, explorando suas produções. </p>


Author(s):  
Gabriel Dondi ◽  
Florian Herzog ◽  
Lorenz M. Schumann ◽  
Hans P. Geering

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