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Visar resultat 21 - 25 av 76 uppsatser som matchar ovanstående sökkriterier.
21. An Empirical Study of Modern Portfolio Optimization
Master-uppsats, KTH/Matematisk statistikSammanfattning : Mean variance optimization has shortcomings making the strategy far from optimal from an investor’s perspective. The purpose of the study is to conduct an empirical investigation as to how modern methods of portfolio optimization address the shortcomings associated with mean variance optimization. LÄS MER
22. Backtesting Expected Shortfall A comparative empirical evaluation of different backtests
Magister-uppsats, Lunds universitet/Nationalekonomiska institutionenSammanfattning : This paper empirically evaluates whether different backtests for Expected Shortfall (ES) produce similar results. In 2016, the Basel Committee on Banking Supervision proposed a shift from Value-at-Risk (VaR) to ES as the industry standard when calculating capital requirements for banks. However, ES has been found difficult to backtest. LÄS MER
23. Risk Modeling of Sustainable Mutual Funds Using GARCH Time Series
Master-uppsats, KTH/Matematisk statistikSammanfattning : The demand for sustainable investments has seen an increase in recent years. There is considerable literature covering backtesting of the performance and risk of socially responsible investments (SRI) compared to conventional investments. LÄS MER
24. A comparative study of VaR and ES using extreme value theory
Kandidat-uppsats, Lunds universitet/Nationalekonomiska institutionenSammanfattning : Using data from OMXS30, we study which of the models block maxima and peaks-over-threshold, based on extreme value theory, are the most accurate when estimating the risk measures Value-at-Risk and Expected Shortfall. To perform this analysis, the risk measures are backtested. LÄS MER
25. Comparing the Liquidity-Adjusted Expected Shortfall Models Over High and Low Liquid Stocks Portfolios: Empirical Results on Thailand Stock Market
Magister-uppsats, Lunds universitet/Nationalekonomiska institutionenSammanfattning : The stylized fact that stock markets are not perfectly liquid propels banks to incorporate liquidity risk in the risk metrics so that market risk can be managed properly. Disregarding liquidity risk can lead to an underestimation of overall risk and substantial losses. LÄS MER