Essays about: "Volatility Weighted Historical Simulation"
Showing result 1 - 5 of 21 essays containing the words Volatility Weighted Historical Simulation.
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1. Risk measurement of cryptocurrencies using value at risk and expected shortfall
University essay from Lunds universitet/Nationalekonomiska institutionenAbstract : Cryptocurrencies are highly volatile and risky assets, therefore, it is of vital importance to find an appropriate model for risk measurement. This thesis compares three parametric and three non-parametric estimation methods to estimate the value at risk and the expected shortfall of five cryptocurrencies, namely Bitcoin (BTC), Ethereum (ETH), Binance coin (BNB), Ripple coin (XRP), and Cardano (ADA). READ MORE
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2. On the Value at Risk Forecasting of the Market Risk for Large Portfolios based on Dynamic Factor Models with Multivariate GARCH Specifications
University essay from Uppsala universitet/Statistiska institutionenAbstract : Market risk is the risk of capital loss due to unexpected changes in market prices. One risk measure used to estimate market risk is Value at Risk (VaR). The common historical simulation methodology of VaR forecasting usually does not capture the time-varying volatilities associated with financial data. READ MORE
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3. Forecasting Value-at-Risk using GARCH(1,1) and Neural Networks as Volatility Estimation Methods – A Comparative Study
University essay from Umeå universitet/Institutionen för matematik och matematisk statistikAbstract : Northvolt was founded in 2015 with the goal to create the world's greenest battery. Today, Northvolt is mainly funded by investors and have suppliers all over the world, which does not come risk free. READ MORE
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4. Evaluating VaR and ES for commodities - both conventionally and with neural networks
University essay from Lunds universitet/Nationalekonomiska institutionenAbstract : As commodities are becoming more popular and accessible assets for speculative and hedging purposes, the limited research regarding risk management for said asset-class justifies further contribution to the deficient output. Many previous studies have highlighted the extraordinary high volatility, with non-linear and clustering characteristics associated with commodities. READ MORE
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5. An Empirical Study: Expected Shortfall Estimation Methods for a Bank's Trading Book
University essay from Lunds universitet/Nationalekonomiska institutionenAbstract : This thesis investigates methods that estimate the Expected Shortfall correctly by passing the Acerbi-Szekely (2014) backtest in both stressed and calm periods. This backtest is added to in this thesis to test against both under- and overestimation of ES. READ MORE