Convex multiobjective programming problems and multiplicative programming problems have important applications in areas such as finance, economics, bond portfolio optimization, engineering, and other fields. This paper presents a quite easy algorithm for generating a number of efficient outcome solutions for convex multiobjective programming problems. As an application, we propose an outer appr...

The paper describes the process and new methodology of a hybrid prediction system for business sequential data i.e. debt portfolio appraisal. Conducting the local area competence data mining approach, repayment values are predicted by means of combination of various data mining techniques. The methods include clustering of references, model selection and enrichment of input variables with predi...

B anking industry performance and failure rates since the mid-1980s have followed a pattern that is tied closely to regional economic conditions. The pattern begins with increases in bank loan concentrations in areas related to a region's growth, followed by deterioration in asset quality, earnings, and capital when regional recessions appear. Moreover, rapid growth in bank assets often accompa...

This paper presents dynamic portfolio model based on the Merton's optimal investment-consumption model, which combines dynamic synthetic put option using risk-free and risky assets. This paper is extended version of methodological paper published by Yuan Yao (2012). Because of the long history of the development of foreign financial market, with a variety of financial derivatives, the study on ...

Finding the best way to optimize the portfolio after Markowitz's 1952 article has always been and will continue to be one of the concerns of activists in the investment management industry. Researchers have come up with different solutions to overcome this problem. The introduction of mathematical models and meta-heuristic models is one of the activities that has influenced portfolio optimizati...

In this paper we give an academic assessment of the financial crisis (crises) from our point of view and discuss where quantitative risk management went wrong. We formulate four mathematical theorems/research areas which have relevance for financial crises in general where the underlying theme is model uncertainty. Related to these theorems, key issues that will be discussed are: financial alch...

This advanced tutorial aims at an exposition of problems in finance that are worthy of study by the Monte Carlo research community. It describes problems in valuing and hedging securities, risk management, portfolio optimization, and model calibration. It surveys some areas of active research in efficient procedures for simulation in finance and addresses the impact of the business context on t...

The present paper aimed at studying the current models of credit portfolio management. There are currently three types of models which consider the risk of credit portfolio: the structural models (Moody's KMV model, and Credit- Metrics model), the intensity models (the actuarial models) and the econometric models (the Macro-factors model). The development of these three types of models is based...