Random fuzzy bilevel linear programming through possibility-based value at risk model

2012 ◽  
Vol 5 (2) ◽  
pp. 211-224 ◽  
Author(s):  
Hideki Katagiri ◽  
Takeshi Uno ◽  
Kosuke Kato ◽  
Hiroshi Tsuda ◽  
Hiroe Tsubaki
2016 ◽  
Vol 451 ◽  
pp. 113-122 ◽  
Author(s):  
Hojin Lee ◽  
Jae Wook Song ◽  
Woojin Chang
Keyword(s):  
At Risk ◽  

2018 ◽  
Vol 7 (3.7) ◽  
pp. 25
Author(s):  
Abdul Talib Bon ◽  
Muhammad Iqbal Al-Banna Ismail ◽  
Sukono . ◽  
Adhitya Ronnie Effendie

Analysis of risk in life insurance claims is very important to do by the insurance company actuary. Risk in life insurance claims are generally measured using the standard deviation or variance. The problem is, that the standard deviation or variance which is used as a measure of the risk of a claim can not accommodate any claims of risk events. Therefore, in this study developed a model called risk measures Collective Modified Value-at-Risk. Model development is done for several models of the distribution of the number of claims and the distribution of the value of the claim. Collective results of model development Modified Value-at-Risk is expected to accommodate any claims of risk events, when given a certain level of significance  


Risks ◽  
2020 ◽  
Vol 8 (1) ◽  
pp. 5
Author(s):  
Alin Marius Andries ◽  
Elena Galasan

In this paper, we measure the size and the direction of the spillover effects among European commercial banks, with respect to their size, geographical position, income sources, and systemic importance for the period from 2006 to 2016, using a state-dependent sensitivity value-at-risk model, conditioning on the state of the financial market. Low during normal times, the same shocks cause notable spillover effects during the volatile period. The results suggest a high level of interconnectedness across all the European regions, highlighting the importance of large and systemic important banks that create considerable systemic risk during the entire period. Regarding the non-interest income banks, the outcomes reveals an alert signal concerning the spillovers spread to interest income banks.


2009 ◽  
Vol 54 (183) ◽  
pp. 119-138 ◽  
Author(s):  
Milica Obadovic ◽  
Mirjana Obadovic

This paper presents market risk evaluation for a portfolio consisting of shares that are continuously traded on the Belgrade Stock Exchange, by applying the Value-at-Risk model - the analytical method. It describes the manner of analytical method application and compares the results obtained by implementing this method at different confidence levels. Method verification was carried out on the basis of the failure rate that demonstrated the confidence level for which this method was acceptable in view of the given conditions.


Author(s):  
Ewa Krawczyk

The Value at Risk model allows answering the base question asked by investor. How much money could be lost with given financial resources involved into given project, in fixed time and fixed risk preference The covariance method used to estimate VaR is static model, but analytic manner of computing allows, after essential analysis, to determine value at risk relatively clearly and quickly. Presented attempt of initiating tool to analyzing quantified risk of investment on real estate market, specialized for capital market, gives observations: a) in the situation of significant growth of investments on real estate market, financed mainly by banking institutions, there is necessity to work out risk models for this market segment, allowing to limit excessive losses caused by too optimistic prices and inappropriate calculations of the effectiveness of the investment, b) well known and used risk models for capital market are basics for connection the both market segments - capital and real - and empirical verification, including investing projects, c) VaR model can be used for determining quantified risk of an investing project, characterized by profitability ratio Net Present Value, but received results should be treated with limited confidence.


Author(s):  
Abdur Rehman ◽  
Wang Jian ◽  
Noor Khan ◽  
Raheel Saqib
Keyword(s):  
At Risk ◽  

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