2005
DOI: 10.1007/11427445_145
|View full text |Cite
|
Sign up to set email alerts
|

Coherent Risk Measure Using Feedfoward Neural Networks

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2006
2006
2012
2012

Publication Types

Select...
3

Relationship

0
3

Authors

Journals

citations
Cited by 3 publications
(1 citation statement)
references
References 6 publications
0
1
0
Order By: Relevance
“…Evolutionary algorithms do not need to embed this assumption and can incorporate any preferred loss distribution type [114]. NNs have also been used for other market risk measures, such as Conditional VaR estimates [67], and expected shortfall [35]. The sensitivity analysis approach measures how much the portfolio's (or a specific financial instrument's) value is expected to change if there is a small change in one of the market-risk factors, such as interest rates, equity prices, commodity prices etc.…”
Section: Market Risk Computationmentioning
confidence: 99%
“…Evolutionary algorithms do not need to embed this assumption and can incorporate any preferred loss distribution type [114]. NNs have also been used for other market risk measures, such as Conditional VaR estimates [67], and expected shortfall [35]. The sensitivity analysis approach measures how much the portfolio's (or a specific financial instrument's) value is expected to change if there is a small change in one of the market-risk factors, such as interest rates, equity prices, commodity prices etc.…”
Section: Market Risk Computationmentioning
confidence: 99%