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Visar resultat 1 - 5 av 63 uppsatser som matchar ovanstående sökkriterier.
1. Forecasting Value-at-Risk and Expected Shortfall: A comparison of non- and parametric methods for crude oil amidst extreme volatility
Magister-uppsats, Lunds universitet/Nationalekonomiska institutionenSammanfattning : 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. LÄS MER
2. Into the Trading Book: Estimating Expected Shortfall
Magister-uppsats, Lunds universitet/Nationalekonomiska institutionenSammanfattning : In light of the revised 2019 proposals constituting the Fundamental Review of the Trading Book, which amend the third Basel Accord, expected shortfall is set to replace value at risk as the risk measure dictating banks' capital reserving requirements for exposure to market risk. This paper examines how best to accurately estimate expected shortfall from a regulatory perspective by carrying out an array of non-parametric as well as parametric methods over the recent years of financial instability. LÄS MER
3. Copula approach to fitting bivariate time series
Master-uppsats, Lunds universitet/Matematisk statistikSammanfattning : We apply the GARCH-copula method to estimate Value at Risk (VaR) for European and Stockholm stock indices. First, marginal distributions are estimated by the ARMA-GARCH model with normal, Student-t, and skewed t distributions. LÄS MER
4. En magisk investeringsstrategi på Sveriges aktiemarknad : En undersökning av den magiska formeln ijämförelse med OMXS30
Kandidat-uppsats, Uppsala universitet/Företagsekonomiska institutionenSammanfattning : Avsikten med studien är att undersöka den magiska formelns prestation på den svenska aktiemarknaden mellan åren 2017–2021. Syftet är att undersöka om denmagiska formeln kan uppnå en högre riskjusterad avkastning än OMXS30 underundersökningsperioden. LÄS MER
5. Backtesting Expected Shortfall : A qualitative study for central counterparty clearing
Uppsats för yrkesexamina på avancerad nivå, Umeå universitet/Institutionen för matematik och matematisk statistikSammanfattning : Within Central Counterparty Clearing, the Clearing House collects Initial Margin from its Clearing Members. The Initial Margin can be calculated in many ways, one of which is by applying the commonly used risk measure Value-at-Risk. However, Value-at-Risk has one major flaw, namely its inability to encapsulate Tail Risk. LÄS MER