scholarly journals Scenario-based risk evaluation

2021 ◽  
Vol 25 (4) ◽  
pp. 725-756
Author(s):  
Ruodu Wang ◽  
Johanna F. Ziegel

AbstractRisk measures such as expected shortfall (ES) and value-at-risk (VaR) have been prominent in banking regulation and financial risk management. Motivated by practical considerations in the assessment and management of risks, including tractability, scenario relevance and robustness, we consider theoretical properties of scenario-based risk evaluation. We establish axiomatic characterisations of scenario-based risk measures that are comonotonic-additive or coherent, and we obtain a novel ES-based representation result. We propose several novel scenario-based risk measures, including various versions of Max-ES and Max-VaR, and study their properties. The theory is illustrated with financial data examples.

2017 ◽  
Vol 4 (5) ◽  
pp. 45
Author(s):  
Liang Su ◽  
Lan-Ya Ma

Financial risk management takes an important part of continuing financial globalization. From the point of financial risk management, financial risk should be controlled at the right level. Considering the characteristics of financial time series, we construct the PGARCH-EVT-Copula model that includes different aspects of statistical features in measuring the risk. With this model, we measure Value at Risk and Expected Shortfall of the futures portfolio and compare them in the risk measurement and testify the reliability with the help of Monte-Carlo simulation method. Finally, we draw a conclusion that at 95% confidence level, Expected Shortfall can better estimate the risk of assets price extreme changing. This paper provides a risk management method for stabilizing the financial market.


2015 ◽  
Vol 4 (1and2) ◽  
pp. 28
Author(s):  
Marcelo Brutti Righi ◽  
Paulo Sergio Ceretta

We investigate whether there can exist an optimal estimation window for financial risk measures. Accordingly, we propose a procedure that achieves optimal estimation window by minimizing estimation bias. Using results from a Monte Carlo simulation for Value at Risk and Expected Shortfall in distinct scenarios, we conclude that the optimal length for the estimation window is not random but has very clear patterns. Our findings can contribute to the literature, as studies have typically neglected the estimation window choice or relied on arbitrary choices.


Author(s):  
Omer Hadzic ◽  
Smajo Bisanovic

The power trading and ancillary services provision comprise technical and financial risks and therefore require a structured risk management. Focus in this paper is on financial risk management that is important for the system operator faces when providing and using ancillary services for balancing of power system. Risk on ancillary services portfolio is modeled through value at risk and conditional value at risk measures. The application of these risk measures in power system is given in detail to show how to using the risk concept in practice. Conditional value at risk optimization is analysed in the context of portfolio selection and how to apply this optimization for hedging a portfolio consisting of different types of ancillary services.


2014 ◽  
Vol 2014 ◽  
pp. 1-10
Author(s):  
Jianwu Sun

We introduce a wholesale pricing strategy for an incumbent supplier facing with a competitive counterpart. We propose a profit function which considers both the present loss and future loss from a wholesale price and then study the optimal wholesale prices for different objectives about this profit function for the incumbent supplier. First, we achieve an optimal wholesale price for the incumbent supplier to maximize his expected profit. Then, to reduce the risk originating from the fluctuation in the competitive supplier’s wholesale price, we integrate the conditional value-at-risk (CVaR) measure in financial risk management into this study and derive an optimal wholesale price to maximize CVaR about profit for the incumbent supplier. Besides, the properties of the two optimal wholesale prices are discussed. Finally, some management insights are suggested for the incumbent supplier in a competitive setting.


2020 ◽  
Author(s):  
Hamidreza Arian ◽  
Mehrdad Moghimi ◽  
Ehsan Tabatabaei ◽  
shiva zamani

2014 ◽  
Vol 12 (21) ◽  
pp. 105
Author(s):  
Јулија Церовић

Резиме: Концепт вриједности при ризику (Value at risk - VaR) је мјера која се све више користи за оцјену степена изложености ризику учесника на финансијским тржиштима. Циљ овог концепта који је почео да преовладава у свијету управљања ризиком од 1994. године, јесте оцјена максималног губитка финансијске позиције у одређеном временском периоду за дату вјероватноћу. Постоји велики број мјера које квантификују ризик, и циљ рада је да се ове мјере изложе, са посебним акцентом на VaR. Такође, код мјерења финансијског ризика треба имати у виду особине финансијских временских серија, па су стога посебно истакнуте у раду. Други дио рада објашњава како су ове мјере ризика обухваћене правном регулативом у контроли ризика. Задатак рада је да се анализира контрола ризика у Црној Гори, као и важност стандарда који су на снази, у доприносу побољшања контроле ризика. Идеја рада је мотивисана жељом да се у Црној Гори озбиљније приступи квантификовању ризика, као и самом управљању ризиком. У наредном периоду, у оквиру мјера Централне банке Црне Горе за јачање финансијског система, континуирано ће се пратити и анализирати стање у банкарском систему, уз предузимање благовремених корективних мјера у управљању ризицима у банкама, као и даља имплементација међународно прихваћених стандарда и принципа пословања у овој области.Summary: The concept of value at risk (Value at Risk - VaR) is a measure that is increasingly used for assessing the level of exposure of financial markets’ participants. The aim of this concept, which has begun to prevail in the world of risk management since 1994, is estimation of the maximum loss of financial position at a given time for a given probability. Many methods have been developed to quantify risk. There are a number of measures to quantify the risk, and the aim of this paper is to expose these measures, with special emphasis on VaR. Also, when measuring financial risk, characteristics of financial time series should be taken into account, and therefore are particularly prominent in the work. The second part of the paper explains how these risk measures are covered by the regulations in risk control. The task of this paper is to analyze the risk control in Montenegro, and the importance of standards in force in contribution to the improvement of risk control. The idea of this paper is motivated by the desire to approach quantifying and managing risk in Montenegro more seriously. In the future, within the framework of the measures of the Central Bank to strengthen the financial system, the situation in the banking system will be continuously monitored and analyzed, by taking timely corrective measures in risk management in banks, as well as the further implementation of internationally accepted standards and principles in this field.


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