Credit risk optimization with Conditional Value-at-Risk criterion
By Fredrik Andersson, Helmut E. Mausser, Dan Rosen, Stanislav Uryasev. Mathematical programming, 2001
332 citations recorded by the source corpus.
Subfields: Finance, Management Science and Operations Research
View Paper: https://www.semanticscholar.org/paper/49f72924d8045d6460676139582cba22e6ef8dea
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Finance
- Pavlo A. Krokhmal
- Stanislav Uryasev
- Andrzej Ruszczynski
- Rabih A. Jabr
- R. Tyrrell Rockafellar
- Shushang Zhu
- Masao Fukushima
- Stavros A. Zenios
In Management Science and Operations Research
- Pavlo A. Krokhmal
- Andrzej Ruszczynski
- Shushang Zhu
- Stanislav Uryasev
- Rabih A. Jabr
- R. Tyrrell Rockafellar
- Alexander Shapiro
- Masao Fukushima
Citations in the corpus
- Optimization of conditional value-at risk (2000, methodology): “A case study on application of the CVaR methodology to the credit risk is described by Andersson and Uryasev (1999). Similar measures as CVaR have been earlier introduced in the stochastic programming literature, although not in financial mathematics context.”
- What are robust strategies in the face of uncertain climate threshold responses? (2012, background): “…CVaR is also known as the Mean Excess Loss or Mean Shortfall, and has been previously applied to risk analysis in the energy sector (Fortin et al. 2007), the crop insurance industry (Liu et al. 2008), and financial markets (Andersson et al. 2001; Alexander et al. 2006; Quaranta and Zaffaroni 2008).”
- Worst-Case Conditional Value-at-Risk with Application to Robust Portfolio Management (2009, methodology): “The four sectoral sub-indices of Hang Seng Index of Hong Kong Stock Exchange (SEHK): (1) Hang Seng Finance Index (HSNF), (2) Hang Seng Utilities Index (HSNU), (3) Hang Seng Property Index (HSNP), and (4) Hang Seng Commercial/Industrial Index (HSNC), are chosen as the financial assets to construct th”
- Robust self-scheduling under price uncertainty using conditional value-at-risk (2005, methodology): “To simplify the optimization problem in (12), can be approximated by sampling the probability distribution of according to its density [10], [16].”
- Robust Portfolio Selection Problems (2003, background): “Recently there has been a growing interest in imposing VaR-type constraints while optimizing credit risk (Kast et al. 1998, Mausser and Rosen 1999, Andersson et al. 2001).”
- Portfolio Optimization with Drawdown Constraints (2000, neutral): “Also, the CVaR minimization approach was applied to credit risk management of a portfolio of bonds [1].”
- ALGORITHMS FOR OPTIMIZATION OF VALUE AT-RISK* (2002, methodology): “Starting with the optimal portfolio obtained when applying the minimum CVaR approach as described in [ 3 ], we then systematically reduce VaR of the portfolio by solving a series of CVaR problems using linear programming techniques.”
- Value-at-Risk in Portfolio Optimization: Properties and Computational Approach ⁄ (2005, background): “The relevant literature includes Andersson and Uryasev[4], Basak and Schapiro[6], Gaivoronski and PÀug[16], Grootveld and Hallerbach[18], Medova 98 [25], Uryasev and Rockafellar [32].”
- Stability analysis of portfolio management with conditional value-at-risk (2007, methodology): “[2] for credit risk optimization.”
- Dual stochastic dominance and quantile risk measures (2002, background): “Although valid for many continuous distributions (Andersson et al., 2001) equation (17), in general, cannot serve as a definition of the worst conditional expectation because such that PfR(x) < g 1⁄4 p need not exist.”
- Portfolio optimization with conditional value-at-risk objective and constraints (2001, methodology): “Also, the CVaR minimization approach was applied to credit risk management of a portfolio of bonds [1].”