En Afrique subsaharienne, les zones agricoles et rurales abritent plus de trois quarts de la population et contribuent pour la grande part à l’emploi, au PIB, aux recettes d’exportations et à l’offre alimentaire. Dès lors, le financement des activités qui se développent dans ces zones...

Current research on financial risk management applications of econometrics centres on the accurate assessment of individual market and credit risks with relatively little theoretical or applied econometric research on other types of risk, aggregation risk, data incompleteness and optimal risk...

Purpose–The purpose of this paper is to build an easy to implement, pragmatic and parsimonious yet accurate model to determine an exposure at default (EAD) distribution for CCL (contingent credit lines) portfolios. Design/methodology/approach–Using an algorithm similar to the basic...

In credit risk management, migration or transition matrices are major inputs for risk management, Credit Value-at-Risk or derivative pricing. After reviewing distance measures for migration matrices we propose some new directed difference indices to measure changes in migration behavior in a...

Calculating liquid asset risk can be useful for any investor with a trade portfolio, as well as for financial institutions, as liquidity crises have been the force behind many bankruptcies. That is why more and more financial entities are using L-VaR techniques to measure the different trade...

This paper broadens research literature associated with the assessment of modern portfolio risk management techniques by presenting a thorough modeling of nonlinear dynamic asset allocation and management under the supposition of illiquid and adverse market settings. This study analyses, from a...

This research study analyses, from a fund manager’s perspective, the performance of liquidity adjusted risk modeling in obtaining optimal and coherent economic capital structures, subject to meaningful operational and financial constraints as specified by the fund manager. Specifically, the...

La crisis en 2008 escaló al resto del mundo y la falta de liquidez se esparció como pólvora. Algunos bancos centrales tuvieron que intervenir en los mercados monetarios y en instituciones financieras para rescatarlas: se generó un efecto dominó que provocó una crisis alimentaria mundial y...

Medir y predecir el riesgo de liquidez es complejo, ya que depende de muchos factores interconectados. Por ello, he desarrollado un algoritmo de optimización para mejorar el proceso de distribución de activos en carteras de múltiples activos combinando modelos sólidos de LVaR (Liquidity...

In this paper, the author demonstrate a practical approach for measurement, management and control of market risk exposure for financial trading portfolios. This approach is based on the renowned concept of Liquidity-Adjusted Value at Risk (L-VaR) along with the creation of a software tool...