Essays about: "kreditrisk"

Showing result 1 - 5 of 55 essays containing the word kreditrisk.

1. 1. Modelling Proxy Credit Cruves Using Recurrent Neural Networks

   University essay from KTH/Matematisk statistik

   Author : Lucas Fageräng; Hugo Thoursie; [2023]
   Keywords : Deep Neural Networks; Credit Risk; Financial Modelling; LSTM; Credit Default Swaps; Credit Valuation Adjustment; Djupa Neurala Nätverk; Kreditrisk; Finansiell Modellering; LSTM; Kreditswappar; Kreditvärderingsjustering;

   Abstract : Since the global financial crisis of 2008, regulatory bodies worldwide have implementedincreasingly stringent requirements for measuring and pricing default risk in financialderivatives. Counterparty Credit Risk (CCR) serves as the measure for default risk infinancial derivatives, and Credit Valuation Adjustment (CVA) is the pricing method used toincorporate this default risk into derivatives prices. READ MORE

3. 2. An Analysis of the Swedish Real  Estate Bond Market:  Characteristics, Opportunities, and  Risks : A combination of a qualitative and quantitative study

   University essay from KTH/Fastighetsföretagande och finansiella system

   Author : Hanna Landstedt; Mikaela Kulti; [2023]
   Keywords : Real Estate Bond; Bond Issuance; Bond Maturities; Credit Risk; Investment Grade; High Yield; Corporate Bond Market; Real Estate Bond Market; Fastighetsobligation; Utställande av obligationer; Obligationslöptid; Kreditrisk; Högränteobligationer; Företagsobligationsmarknaden; Fastighetsobligationsmarknaden;

   Abstract : In the aftermath of the 2008 financial crisis, the debt capital market in Sweden experienced rapid growth, resulting in a doubling of its size. In recent years, real estate companies have become increasingly dependent on financing through the capital markets. READ MORE

4. 3. Credit Index Forecasting: Stability of an Autoregressive Model

   University essay from KTH/Matematik (Avd.)

   Author : Melker Wallén; Erik Grimlund; [2023]
   Keywords : Credit spreads; Time Series; Credit Risk; Index Modeling; Forecasting; Kreditspreadar; Tidsserier; Kreditrisk; Indexmodellering; Prognoser;

   Abstract : This thesis investigates the robustness and stability of total return series for credit bond index investments. Dueto the challenges which arise for financial institutes and investors in achieving these objectives, we aim to createa forecasting model which matches the statistical properties of historical data, while remaining robust, stable andeasy to calibrate. READ MORE

5. 4. Portfolio Risk Modelling in Venture Debt

   University essay from KTH/Matematisk statistik

   Author : John Eriksson; Jacob Holmberg; [2023]
   Keywords : 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;

   Abstract : 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. READ MORE

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

   University essay from Umeå universitet/Institutionen för matematik och matematisk statistik

   Author : Michael Zanetti; Philip Güzel; [2023]
   Keywords : 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;

   Abstract : 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. READ MORE