Results 21 to 30 of about 148,735 (300)

Hedging Conditional Value at Risk with options [PDF]

open access: yesEuropean Journal of Operational Research, 2015
We present a method of hedging Conditional Value at Risk of a position in stock using put options. The result leads to a linear programming problem that can be solved to optimise risk hedging.
openaire   +2 more sources

Statistical Learning with Conditional Value at Risk

open access: yesCoRR, 2020
We propose a risk-averse statistical learning framework wherein the performance of a learning algorithm is evaluated by the conditional value-at-risk (CVaR) of losses rather than the expected loss. We devise algorithms based on stochastic gradient descent for this framework.
Tasuku Soma, Yuichi Yoshida
openaire   +2 more sources

Incorporating stand level risk management options into forest decision support systems

open access: yesForest Systems, 2018
Aim of study: To examine methods of incorporating risk and uncertainty to stand level forest decisions. Area of study: A case study examines a small forest holding from Jönköping, Sweden.
Kyle Eyvindson   +2 more
doaj   +1 more source

Optimizing conditional value-at-risk in dynamic pricing [PDF]

open access: yesOR Spectrum, 2018
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Jochen Gönsch   +2 more
openaire   +5 more sources

Risk assessment of microgrid aggregators considering demand response and uncertain renewable energy sources

open access: yesJournal of Modern Power Systems and Clean Energy, 2019
In power market environment, the growing importance of demand response (DR) and renewable energy source (RES) attracts more for-profit DR and RES aggregators to compete with each other to maximize their profit.
Tirthadip Ghose   +2 more
doaj   +1 more source

Asset Allocation with Conditional Value-at-Risk Budgets [PDF]

open access: yesSSRN Electronic Journal, 2012
Risk budgets are frequently used to allocate the risk of a portfolio by decomposing the total portfolio risk into the risk contribution of each component position. Many approaches to portfolio allocation use ex post methods for constructing risk budgets and take the variance as a risk measure.
Boudt, Kris   +2 more
openaire   +3 more sources

Optimal reinsurance designs based on risk measures: a review

open access: yesStatistical Theory and Related Fields, 2020
Reinsurance is an effective way for an insurance company to control its risk. How to design an optimal reinsurance contract is not only a key topic in actuarial science, but also an interesting research question in mathematics and statistics.
Jun Cai, Yichun Chi
doaj   +1 more source

THE ROLE OF VALUE AT RISK IN THE MANAGEMENT OF ASSET AND LIABILITIES [PDF]

open access: yesAnnals of the University of Oradea: Economic Science, 2012
ALM is the management of risk at enterprise level, the models used in ALM can be static or dynamic: single period-static models, multiple period static model, single period stochastic model, multi period stochastic model. While single period-static don't
Petria Nicolae   +2 more
doaj  

Classification of methods for risk measures VaR and CVaR calculation and estimation

open access: yesSistemnì Doslìdženâ ta Informacìjnì Tehnologìï, 2016
A systematic classification of the existing approaches for popular risk measures VaR and CVaR calculating and estimating is fulfilled. A review of the most used methods is done.
Nataliia G. Zrazhevska, A. G. Zrazhevsky
doaj   +1 more source

Assessing the Market Risk on the Government Debt of Kazakhstan and Bulgaria in Conditions of Turbulence

open access: yesRisks, 2022
The purpose of this publication is to quantify and compare the market risk on the external government debt of Kazakhstan and Bulgaria in the conditions of COVID-19, the emerging energy crisis, and the coup attempt in the first country. In particular, the
Olga Em   +3 more
doaj   +1 more source

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