دورية أكاديمية

Reducing Variation of Risk Estimation by Using Importance Sampling

التفاصيل البيبلوغرافية
العنوان: Reducing Variation of Risk Estimation by Using Importance Sampling
المؤلفون: Hatem Çoban, İpek Deveci Kocakoç, Şemsettin Erken, Mehmet Akif Aksoy
المصدر: Alphanumeric Journal, Vol 7, Iss 2, Pp 173-184 (2019)
بيانات النشر: Istanbul University, 2019.
سنة النشر: 2019
المجموعة: LCC:Industrial engineering. Management engineering
LCC:Business
مصطلحات موضوعية: delta normal method, importance sampling, monte carlo simulation, tail risk, value at risk, Industrial engineering. Management engineering, T55.4-60.8, Business, HF5001-6182
الوصف: In today's world, risk measurement and risk management are of great importance for various economic reasons. Especially in the crisis periods, the tail risk becomes very important in risk estimation. Many methods have been developed for accurate measurement of risk. The easiest of these methods is the Value at Risk (VaR) method. However, standard VaR methods are not very effective in tail risks. This study aims to demonstrate the usage of delta normal method, historical simulation method, Monte Carlo simulation, and importance sampling to calculate the value at risk and to show which method is more effective by applying them to the SP index between 1993 and 2003.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
Turkish
تدمد: 2148-2225
Relation: http://alphanumericjournal.com/media/Issue/volume-7-issue-2-2019/reducing-variation-of-risk-estimation-by-using-importance-sa_z9RFQne.pdf; https://doaj.org/toc/2148-2225
DOI: 10.17093/alphanumeric.605584
URL الوصول: https://doaj.org/article/e7d42bedd0bc4615bfbb2e84cff8d5cf
رقم الأكسشن: edsdoj.7d42bedd0bc4615bfbb2e84cff8d5cf
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:21482225
DOI:10.17093/alphanumeric.605584