Essays about: "Expected Shortfall ES"

Showing result 1 - 5 of 23 essays containing the words Expected Shortfall ES.

  1. 1. Risk Management and Sustainability - A Study of Risk and Return in Portfolios With Different Levels of Sustainability

    University essay from KTH/Matematik (Avd.)

    Author : Magnus Borg; Lucas Ternqvist; [2023]
    Keywords : ESG; Value-at-Risk VaR ; Expected Shortfall ES ; Risk Management; Financial Risk; Financial Mathematics; Sustainability; Portfolio Management; Capital Asset Pricing Model CAPM ; Hållbarhet; Value-at-Risk VaR ; Expected Shortfall ES ; Riskhantering; Finansiell Risk; Finansiell Matematik; Portföljkonstruktion;

    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

  2. 2. 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 institutionen

    Author : Otto Colbin; Yugam Sharma; [2023]
    Keywords : Value-at-Risk VaR ; Expected Shortfall ES ; Nonparametric estimation methods; Parametric estimation methods; Crude oil.; Business and Economics;

    Abstract : 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

  3. 3. Into the Trading Book: Estimating Expected Shortfall

    University essay from Lunds universitet/Nationalekonomiska institutionen

    Author : Robin Eric Schmutz; Leonard Schneider; [2023]
    Keywords : Expected shortfall; Trading book; Historical simulation; Parametric estimation; Backtesting; Business and Economics;

    Abstract : 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. READ MORE

  4. 4. Modelling of Capital Requirements using LSTM and A-SA in CRR 3

    University essay from KTH/Matematik (Avd.)

    Author : William Gan; [2022]
    Keywords : Capital Requirements; machine learning; neural networks; financial mathematics; risk management; CRR 3; FRTB; Kapitalkrav; maskininlärning; neurala nätverk; finansiell matematik; riskhantering; CRR 3; FRTB;

    Abstract : In response to the Great Financial Crisis of 2008, a handful of measures were taken to increase the resilience toward a similar disaster in the future. Global financial regulatory entities implemented several new directives with the intention to enhance global capital markets, leading to regulatory frameworks where financial participants (FPs) are regulated with own fund's requirements for market risks. READ MORE

  5. 5. Risk measurement of cryptocurrencies using value at risk and expected shortfall

    University essay from Lunds universitet/Nationalekonomiska institutionen

    Author : Van Cao Thi Hong; [2022]
    Keywords : cryptocurrencies; value at risk; expected shortfall; risk measurement; parametric methods; non-parametric methods; EWMA; GARCH; EGARCH; GJRGARCH; backtesting; Business and Economics;

    Abstract : 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