Operational risk in recent years has become an important part of banks, insurance companies and financial institutions. The proposed work deals with the distributions that best fit the loss severity from the operational risk and also describe their basic properties. Specifically, deals with the g-h distribution, its properties, moments, parameter estimations and tail behavior. There is also another method for high threshold estimation described in this text, the POT (Peaks over threshold). In conclusion, there is the procedure for estimating quantiles of g-h distribution by POT method presented including simulation example in which there are quantile values estimated using the POT method compared to the g-h distribution quantiles
Within the financial industry Operational Risk is a relatively new concept, but within recent years ...
The aim of this paper is to measure operational risk in financial institutions when historical data ...
In this article, we propose improvements to the peak-over-threshold (POT) method and apply this impr...
Operational risk in recent years has become an important part of banks, insurance companies and fina...
In this paper, we study the estimation of parameters for g-and-h distributions. These distributions ...
In the present thesis we will firstly familiarize ourselves with the term of operational risk, it's ...
According to the Loss Distribution Approach, the operational risk of a bank is determined as 99.9% q...
Risk is unavoidable, so quantification of risk in any institution is of great importance as it allow...
Banks that use the advanced measurement approach to model operational risk may struggle to develop a...
In order to quantify the operational risk capital charge under the current regulatory framework for ...
Operational risk has become an important risk component in the banking and insurance world. The avai...
Currently, financial institutions are supposed to analyze and quantify a new type of banking risk, k...
Abstract: This paper surveys the main difficulties involved with the quantitative measurement of ope...
To quantify the aggregate losses from operational risk, we employ actuarial risk model, i.e. we cons...
Operational risk management and measurement has been paid an increasing attention in last years. The...
Within the financial industry Operational Risk is a relatively new concept, but within recent years ...
The aim of this paper is to measure operational risk in financial institutions when historical data ...
In this article, we propose improvements to the peak-over-threshold (POT) method and apply this impr...
Operational risk in recent years has become an important part of banks, insurance companies and fina...
In this paper, we study the estimation of parameters for g-and-h distributions. These distributions ...
In the present thesis we will firstly familiarize ourselves with the term of operational risk, it's ...
According to the Loss Distribution Approach, the operational risk of a bank is determined as 99.9% q...
Risk is unavoidable, so quantification of risk in any institution is of great importance as it allow...
Banks that use the advanced measurement approach to model operational risk may struggle to develop a...
In order to quantify the operational risk capital charge under the current regulatory framework for ...
Operational risk has become an important risk component in the banking and insurance world. The avai...
Currently, financial institutions are supposed to analyze and quantify a new type of banking risk, k...
Abstract: This paper surveys the main difficulties involved with the quantitative measurement of ope...
To quantify the aggregate losses from operational risk, we employ actuarial risk model, i.e. we cons...
Operational risk management and measurement has been paid an increasing attention in last years. The...
Within the financial industry Operational Risk is a relatively new concept, but within recent years ...
The aim of this paper is to measure operational risk in financial institutions when historical data ...
In this article, we propose improvements to the peak-over-threshold (POT) method and apply this impr...