Sökning: "Credit risk modeling"
Visar resultat 11 - 15 av 33 uppsatser innehållade orden Credit risk modeling.
11. Estimation of Loss Given Default Distributions for Non-Performing Loans Using Zero-and-One Inflated Beta Regression Type Models
Master-uppsats, KTH/Matematisk statistikSammanfattning : This thesis investigates three different techniques for estimating loss given default of non-performing consumer loans. This is a contribution to a credit risk evaluation model compliant with the regulations stipulated by the Basel Accords, regulating the capital requirements of European financial institutions. LÄS MER
12. Efficient Monte Carlo Simulation for Counterparty Credit Risk Modeling
Master-uppsats, KTH/Matematisk statistikSammanfattning : In this paper, Monte Carlo simulation for CCR (Counterparty Credit Risk) modeling is investigated. A jump-diffusion model, Bates' model, is used to describe the price process of an asset, and the counterparty default probability is described by a stochastic intensity model with constant intensity. LÄS MER
13. Peer-to-Peer Lending from a CDO Perspective
Master-uppsats, Göteborgs universitet/Graduate SchoolSammanfattning : In this thesis, we will attempt to model a peer-to-peer lending intermediary according to a CDO. A CDO is a credit risk protection product that distributes credit risk among investors. The business of a peer-to-peer lending intermediary is to connect individuals who want to borrow money with individuals who want to lend. LÄS MER
14. Readjusting Historical Credit Ratings : using Ordered Logistic Regression and Principal ComponentAnalysis
Uppsats för yrkesexamina på avancerad nivå, Umeå universitet/Institutionen för matematik och matematisk statistikSammanfattning : Readjusting Historical Credit Ratings using Ordered Logistic Re-gression and Principal Component Analysis The introduction of the Basel II Accord as a regulatory document for creditrisk presented new concepts of credit risk management and credit risk mea-surements, such as enabling international banks to use internal estimates ofprobability of default (PD), exposure at default (EAD) and loss given default(LGD). These three measurements is the foundation of the regulatory capitalcalculations and are all in turn based on the bank’s internal credit ratings. LÄS MER
15. Estimation of Probability of Default in Low Default Portfolios
Master-uppsats, Lunds universitet/Matematisk statistikSammanfattning : Estimation of probability of default (PD) is a fundamental part of credit risk modeling, and estimation of PD in low default portfolios is a common issue for banks and financial institutions. The Basel Committee on Banking Supervision requires banks and financial institutions to add an additional margin of conservatism to its PD estimates in the case of insufficient data, as in low default portfolios with few default observations. LÄS MER