مطالب مرتبط با کلیدواژه

credibility theory


۱.

Selecting The Optimal Multi-Period Stock Portfolio with Different Time Horizons in the Credibility Theory Framework(مقاله علمی وزارت علوم)

کلیدواژه‌ها: Multi-period Portfolio different time horizons fuzzy variables credibility theory

حوزه‌های تخصصی:
تعداد بازدید : ۱۲۶ تعداد دانلود : ۱۰۱
After closing, the multi-period portfolio can be corrected and revised at regular intervals. The philosophy behind using multi-period portfolio models is that investors often have a multi-period view of future changes in assets, which can be the result of technical and fundamental analysis or statistical model analysis. In conventional multi-period portfolio models, it is assumed that the forecast and correction time horizons are the same for all assets. However, one asset may be forecasted over a one-month horizon while another may be forecasted over a two-month horizon, and both may be revised in the future. The purpose of this study is to present a multi-period portfolio model in which assets have different time horizons for corrections or an asset may not be traded for the first few periods and then enter the correction stage. In this model, fuzzy variables defined in a credibility space are used to describe the return, and the credibility measure controls the risk. The model's objective function is to maximize the portfolio's ultimate wealth, and a constraint is used to control portfolio risk, in which the validity of the portfolio's ultimate wealth below a certain threshold is controlled at a certain level of confidence. A combination of particle swarm optimization and simulation is used to find the best solution. Finally, using a numerical example, the model is implemented on a portfolio with 6 assets and 4 monthly time steps on the Tehran Stock Exchange.
۲.

Efficiency Estimation of Road Transport Safety in Iranian Provinces under Uncertainty Conditions(مقاله پژوهشی وزارت بهداشت)

تعداد بازدید : ۴ تعداد دانلود : ۴
INTRODUCTION: Road safety is a recognized global issue and according to the WHO, road traffic injuries are the eighth leading cause of death in all age groups, especially 5 to 29 years. Therefore, in this article, the road safety performance of Iran's provinces is examined. METHODS: This research was done using Data Envelopment Analysis (DEA) method which is used in two deterministic and non-deterministic situations in order to evaluate road safety efficiency scores. This method gives scores (inefficiency) that allow road sections to be ranked appropriately in terms of being accident-prone. Uncertainty is one of the inevitable features of real-world problems, for which fuzzy theory and extend the DEA-RS model is used by considering its limitations as probability, necessity, and credibility constraints, and propose three fuzzy models such as possibility of DEA-RS (PosDEA-RS); necessary DEA-RS (NecDEA-RS); and the credibility of the DEA-RS (CreDEA-RS). FINDINGS: Three models which are extensions of the Data Envelopment Analysis based on the Road Safety (DEA-RS) model are proposed for evaluating road safety performance and the CreDEA-RS model is suitable for assessing the safety of roads in the provinces of Iran. CONCLUSION: The results show that the provinces located in mountain and forest areas like Gilan have a lower performance in terms of road safety, and provinces located in desert areas like Yazd have a higher road safety performance.