Sökning: "value-at-risk monte-carlo simulation"

Visar resultat 1 - 5 av 23 uppsatser innehållade orden value-at-risk monte-carlo simulation.

1. 1. Portfolio Risk Modelling in Venture Debt

   Master-uppsats, KTH/Matematisk statistik

   Författare :John Eriksson; Jacob Holmberg; [2023]
   Nyckelord :Startup Default Probability; Venture Debt; Gaussian Copula; Value-at-Risk; Expected Shortfall; Exposure at Default; Loss Given Default; Forecast; Linear Dynamic System; ARIMA Time Series; Monte Carlo Simulation; Linear Regression; Central Limit Theorem;

   Sammanfattning : This thesis project is an experimental study on how to approach quantitative portfolio credit risk modelling in Venture Debt portfolios. Facing a lack of applicable default data from ArK and publicly available sets, as well as seeking to capture companies that fail to service debt obligations before defaulting per se, we present an approach to risk modeling based on trends in revenue. LÄS MER

3. 2. Multi-factor approximation : An analysis and comparison ofMichael Pykhtin's paper “Multifactor adjustment”

   Uppsats för yrkesexamina på avancerad nivå, Umeå universitet/Institutionen för matematik och matematisk statistik

   Författare :Michael Zanetti; Philip Güzel; [2023]
   Nyckelord :Credit risk; Value at Risk; Expected Shortfall; Monte Carlo simulation; Advanced Internal Rantings-Based models; Kreditrisk; Value at Risk; Expected Shortfall; Monte Carlo simulation; Advanced Internal Rantings-Based-modeller;

   Sammanfattning : The need to account for potential losses in rare events is of utmost importance for corporations operating in the financial sector. Common measurements for potential losses are Value at Risk and Expected Shortfall. These are measures of which the computation typically requires immense Monte Carlo simulations. LÄS MER

4. 3. Stochastic Optimization of Asset Management Project Portfolios: A Risk-Informed Approach

   Master-uppsats, KTH/Matematik (Avd.)

   Författare :Sebastian Persson; Niklas Hansson; [2023]
   Nyckelord :Nuclear asset management; Risk-informed asset management; Portfolio optimization; Project selection; Knapsack problem; Monte Carlo simulation; Conditional Value at Risk; Tillgångsförvaltning; Riskinformerad tillgångsförvaltning; Portföljoptimering; Projekturval; Kappsäcksproblem; Monte Carlo simulering; Conditional Value at Risk;

   Sammanfattning : Asset management within the nuclear industry has become an increasingly relevant topic as safety requirements have tightened and energy security has become more important. Asset management ensures performance and reliability in a nuclear facility by balancing costs, opportunities, and risks to get the most out of assets. LÄS MER

5. 4. Risk Assessment of International Mixed Asset Portfolio with Vine Copulas

   Kandidat-uppsats, Linköpings universitet/Tillämpad matematik; Linköpings universitet/Tekniska fakulteten

   Författare :Axel Nilsson; [2022]
   Nyckelord :Vine Copulas; Extreme Value Theory; Financial Risk Management; Vine Copulas; Extremvärdesteori; Finansiell riskhantering;

   Sammanfattning : This thesis gives an example of assessing the risk of a financial portfolio with international assets, where the assets may be of different classes, by the use of Monte Carlo simulation and Extreme Value Theory. The simulation uses univariate modelling, models of the assets’ returns as stochastic processes, as well as vine copulas to create dependency between the variables. LÄS MER

7. 5. Optimizing the Cash Reserve in a Portfolio of US Life Insurance Policies

   Master-uppsats, Linköpings universitet/Produktionsekonomi

   Författare :Alva Happe; Wassim Seifeddine; [2022]
   Nyckelord :portfolio optimization; risk management; monte carlo; value at risk; life settlements; longevity risk; cash reserve; closed-end fund;

   Sammanfattning : Hoarding a too large cash reserve is often unfavourable due to lost investment opportunities. Similarly, an insufficient cash reserve can be detrimental, as one might fail to meet payment obligations. Finding the optimal balance is nothing that is done in the blink of an eye, particularly when the underlying variable is stochastic, e.g. LÄS MER