Essays about: "Value-at-Risk VaR"
Showing result 1 - 5 of 119 essays containing the words Value-at-Risk VaR.
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1. CAViaR and Cross-sectional quantile regression models to assess risk in S&P500 sectors
University essay from Göteborgs universitet/Graduate SchoolAbstract : The aim of this thesis is to investigate the performance of different models used in risk management to identify and control risks that may negatively impact company operations due to unpredictable events. More specifically, the object of this paper is the discussion of a cross-sectional quantile regression model (CSQR) and the CAViaR model, which is a time series quantile regression model. READ MORE
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2. Value at Risk Estimation using GARCH Family Models: A Comparison of Different Specifications and Distributions.
University essay from Göteborgs universitet/Institutionen för nationalekonomi med statistikAbstract : The objective of this study is to compare the performance of different GARCH models, under various conditional distribution assumptions, to predict one-day-ahead Value-at-Risk (VaR) for three stocks: Swedbank, Handelsbanken, and SEB over the Covid-19 period. The performance is evaluated using Kupiec, Christoffersen tests and the Quadratic Loss. READ MORE
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3. Risk Management and Sustainability - A Study of Risk and Return in Portfolios With Different Levels of Sustainability
University essay from KTH/Matematik (Avd.)Abstract : This thesis examines the risk profile of Electronically Traded Funds and the dependence of the ESG rating on risk. 527 ETFs with exposure globally were analyzed. Risk measures considered were Value-at-Risk and Expected Shortfall, while some other metrics of risk was used, such as the volatility, maximum drawdown, tail dependece, and copulas. READ MORE
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4. Capturing time variation within systemic risk estimation
University essay from Lunds universitet/Nationalekonomiska institutionenAbstract : Systemic risk can be defined as the risk to the whole financial system. Financial institutions may contribute more or less to this risk, and measuring the systemic risk contributions of institutions is of central importance for regulators. READ MORE
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5. Forecasting Value-at-Risk and Expected Shortfall: A comparison of non- and parametric methods for crude oil amidst extreme volatility
University essay from Lunds universitet/Nationalekonomiska institutionenAbstract : Practitioners primarily utilise nonparametric methods when estimating Value-at- Risk (VaR) and Expected Shortfall (ES) for computing capital requirements. However, various researchers assert that there are issues with those estimates, particularly amidst periods of market turmoil. READ MORE