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Wyszukujesz frazę "value at risk" wg kryterium: Temat


Wyświetlanie 1-8 z 8
Tytuł:
Weryfikacja historyczna modeli wartości zagrożonej – zastosowanie wybranych metod dla rynku polskiego w okresie kryzysu finansowego
Backtesting of value at risk measures − analysis of selected methods based on the example of Polish market during financial crisis
Autorzy:
Lusztyn, Marek
Powiązania:
https://bibliotekanauki.pl/articles/425137.pdf
Data publikacji:
2013
Wydawca:
Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu
Tematy:
Value at Risk
VaR
backtesting
Opis:
Several banks use internal Value at Risk models to measure market risk and to calculate regulatory capital necessary to cover that risk. Backtesting is a statistical tool that allows differentiating precise and imprecise risk models. The objective of this paper is to backtest selected Value at Risk models in a period preceding and during the financial crisis, based on the example of Polish currency, equity and bond markets. The obtained results do not justify unequivocal statistical acceptance of any of the analyzed models. This in turn suggest extreme caution in using Value at Risk as the only quantitative risk management tool. Stable and cautious risk management of a financial institution calls for supplementing Value at Risk with alternative risk measures.
Źródło:
Econometrics. Ekonometria. Advances in Applied Data Analytics; 2013, 4(42); 117-129
1507-3866
Pojawia się w:
Econometrics. Ekonometria. Advances in Applied Data Analytics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A note on VAR for the winner’s curse
Autorzy:
Palmowski, Zbigniew
Powiązania:
https://bibliotekanauki.pl/articles/569850.pdf
Data publikacji:
2017
Wydawca:
Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu
Tematy:
Winner's curse
value at risk
order statistics
Opis:
This paper is an introduction to the concept and methodology of Value at Risk as a new tool for measuring exposure to the so-called winner’s curse risk. This expression was first used in the work of [Capen, Clapp, Campbell 1971] related to the oil companies, and it is usually introduced by the elementary example of the auctioning of a sealed jar with coins. The bidders cannot exactly know the value of the jar, they can just estimate it by looking at it from a distance. Usually the winner is the bidder who overestimates the value of jar the most, but actually he/she loses because of paying more than he/she receives in the jar. The same happens in insurance aggregators, but here the lowest price wins (we have then the so-called reversed auction). Traditionally, insurance companies have tried to offer insurance prices at the level of the expected value of the future costs (including all operational costs and expected profit) but now the winning company very likely is not getting enough premium to cover the assumed risk. In the case bankrupcy, this compnay will have to then face so-called winner’s curse. In this paper we analyse a few numerical examples
Źródło:
Ekonomia XXI Wieku; 2017, 3 (15); 124-134
2353-8929
Pojawia się w:
Ekonomia XXI Wieku
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Metoda oceny ryzyka realizacji oprogramowania do wspomagania działalności przedsiębiorstwa na przykładzie oprogramowania typu Open Source
The risk assessment method as a support for IT enterprise management using Open Source projects as an example
Autorzy:
Kieruzel, Magdalena
Powiązania:
https://bibliotekanauki.pl/articles/431868.pdf
Data publikacji:
2014
Wydawca:
Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu
Tematy:
IT project
Value at Risk
risk assessment method
Opis:
The article presents the idea and design of the original method and its implementation associated with the valuation of risks in IT projects. This new method is based on the adaptation of the VaR approach. The article shows the issues of risk analysis in software production, the original proposition of risk assessment model of software projects, as well as the verification of the model. The paper takes into account in particular: high volatility of environment, multi-step nature of the activities with the participation of a large number of people, high complexity of project's tasks and the lack of risk validation in methodology for the implementation of IT projects.
Źródło:
Informatyka Ekonomiczna; 2014, 1(31); 259-268
1507-3858
Pojawia się w:
Informatyka Ekonomiczna
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Review of Value at Risk estimation methods
Autorzy:
Stefaniak, Radosław
Powiązania:
https://bibliotekanauki.pl/articles/583606.pdf
Data publikacji:
2018
Wydawca:
Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu
Tematy:
Value at Risk
estimation
backtesting
investment portfolio
Opis:
On a daily basis, managers in risk management teams use a number of methods to manage various types of risk. One of the most popular methods of measuring market risk is Value at Risk. Estimation of Value at Risk gives a possibility to determine a loss, which can occur or can be exceeded with a given probability and tolerance level. Moreover, this measure of risk shows in just one number entire risk of the portfolio. In addition, various methods and probability distributions can be used to estimate Value at Risk. A goal of this paper is the evaluation of Value at Risk estimation methods on the basis of backtesting results. In the empirical part, the data for 4 investment portfolios was used. The portfolios were diversified in terms of geographic location of firms that were taken into consideration.
Źródło:
Prace Naukowe Uniwersytetu Ekonomicznego we Wrocławiu; 2018, 519; 173-183
1899-3192
Pojawia się w:
Prace Naukowe Uniwersytetu Ekonomicznego we Wrocławiu
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Modelling extreme market risk of polish banks’ debt instruments’ portfolios
Autorzy:
Łupiński, Marcin
Powiązania:
https://bibliotekanauki.pl/articles/425276.pdf
Data publikacji:
2013
Wydawca:
Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu
Tematy:
market risk
Value at Risk
Expected Tail Loss
Extreme Value Theory
Opis:
The main goal of this article is to present extreme market risk evaluation methods which go beyond the standard Value at Risk methodology. Two main approaches: Expected Tail Loss (ETL) and Extreme Value Theory (EVT) are presented and then applied to simulate interest risk stemming from government debt portfolio held by Polish banks. The two methods seem to be very useful to estimate real market risk exposures during the times of distress on the financial markets.
Źródło:
Econometrics. Ekonometria. Advances in Applied Data Analytics; 2013, 3(41); 113-130
1507-3866
Pojawia się w:
Econometrics. Ekonometria. Advances in Applied Data Analytics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Monte Carlo simulation approach to calculate Value at Risk: application to WIG20 and mWIG40
Autorzy:
Pasieczna, Aleksandra Helena
Powiązania:
https://bibliotekanauki.pl/articles/947638.pdf
Data publikacji:
2019
Wydawca:
Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu
Tematy:
Monte Carlo
Value at Risk
WIG20
mWIG40
Kupiec
simulations
Opis:
This paper reports our estimates of the Value at Risk using Monte Carlo simulations for which we developed a computer program. Our approach involves obtaining Monte Carlo parameters by fitting real historical data of different periods to probability distributions. We applied the algorithm to the WIG20 and mWIG40 stock indices, and performed simulations for the Value at Risk at 95% and 99% confidence intervals over six estimation periods ranging from 1 trading day to 250 trading days. This approach was evaluated using the percentage failures and the Kupiec Proportion of Failures test. Our results indicate that this method is highly influenced by the choice of past historical and estimation period lengths considered. Overall, we observed that the Monte Carlo computational scheme is a reliable method for quantifying VaR when parametrized well.
Źródło:
Financial Sciences. Nauki o Finansach; 2019, 24, 2; 61-75
2080-5993
2449-9811
Pojawia się w:
Financial Sciences. Nauki o Finansach
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Forecast of prices and volatility on the day ahead market
Autorzy:
Ganczarek-Gamrot, Alicja
Powiązania:
https://bibliotekanauki.pl/articles/425278.pdf
Data publikacji:
2013
Wydawca:
Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu
Tematy:
principal component analysis (PCA)
SARIMA model
DCC model
Value-at- -Risk
portfolio
Opis:
The subject of this paper is the forecast of prices and volatility on the Day Ahead Market (DAM). The analysis was made for two portfolios of four contracts from 30.03.2009 to 28.10.2011 for two fixings on DAM. Four out of 24 contracts noted on DAM were chosen by PCA. Prices were forecast by the SARIMA models incorporating autocorrelation and seasonality. Value-at-Risk calculated through the DCC model was used to forecast volatility. These models describe well the prices and volatility on the DAM and may be used for forecasting purposes. Prices on fixing 2 are characterized by higher volatility than prices on fixing 1.
Źródło:
Econometrics. Ekonometria. Advances in Applied Data Analytics; 2013, 1(39); 111-120
1507-3866
Pojawia się w:
Econometrics. Ekonometria. Advances in Applied Data Analytics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Portfolio selection: method of the step by step assigned weights
Wybór portfela: metoda wag dobieranych krok po kroku
Autorzy:
Pavlík, Martin
Michalski, Grzegorz
Lukáčik, Martin
Powiązania:
https://bibliotekanauki.pl/articles/425102.pdf
Data publikacji:
2015
Wydawca:
Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu
Tematy:
modern portfolio theory
VBA in Excel
enumeration
portfolio choice
VaR
Value at Risk
Opis:
The authors conceived a new simple method for creating the approximation of the border of investment opportunities. The method enumerates all the possibilities of assigning weights to the investment portfolio. It does not enable short sales. The software which the authors coded is written in VBA and also enables active management. The method is simple, accurate but demanding. The authors also created a simple methodology for testing the quality of the approximation of the border of investment opportunities.
Źródło:
Econometrics. Ekonometria. Advances in Applied Data Analytics; 2015, 3 (49); 78-97
1507-3866
Pojawia się w:
Econometrics. Ekonometria. Advances in Applied Data Analytics
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-8 z 8

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