Sökning: "low default portfolio"

Visar resultat 1 - 5 av 12 uppsatser innehållade orden low default portfolio.

  1. 1. Applying the Shadow Rating Approach: A Practical Review

    Master-uppsats, KTH/Matematik (Avd.)

    Författare :Viktor Barry; Carl Stenfelt; [2023]
    Nyckelord :Shadow Rating; probability of default; low default portfolio; credit risk; statistical learning; financial regulation; Basel; Pluto and Tasche; Skuggrating; sannolikhet av fallissemang; lågfallissemangsportfölj; kreditrisk; statistisk inlärning; finansiella regelverk; Basel; Pluto och Tasche;

    Sammanfattning : The combination of regulatory pressure and rare but impactful defaults together comprise the domain of low default portfolios, which is a central and complex topic that lacks clear industry standards. A novel approach that utilizes external data to create a Shadow Rating model has been proposed by Ulrich Erlenmaier. LÄS MER

  3. 2. A multi-gene symbolic regression approach for predicting LGD : A benchmark comparative study

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

    Författare :Hanna Tuoremaa; [2023]
    Nyckelord :Symbolic regression; loss given default; credit risk; logit transformed regression; beta regression; multi-gene genetic programming; regression tree;

    Sammanfattning : Under the Basel accords for measuring regulatory capital requirements, the set of credit risk parameters probability of default (PD), exposure at default (EAD) and loss given default (LGD) are measured with own estimates by the internal rating based approach. The estimated parameters are also the foundation of understanding the actual risk in a banks credit portfolio. LÄS MER

  4. 3. Copula Modelling of High-Dimensional Longitudinal Binary Response Data

    Master-uppsats, KTH/Matematik (Avd.)

    Författare :Nils Henningsson; [2022]
    Nyckelord :Copula; latent model; variational inference; Copula; latent modell; variational inference;

    Sammanfattning : This thesis treats the modelling of a high-dimensional data set of longitudinal binary responses. The data consists of default indicators from different nations around the world as well as some explanatory variables such as exposure to underlying assets. LÄS MER

  5. 4. How to measure the degree of PIT-ness in a credit rating system for a low default portfolio?

    Master-uppsats, KTH/Matematisk statistik

    Författare :Sigge Ahlqvist; Matteus Arriaza-Hult; [2020]
    Nyckelord :Markov theory; Business cycle; Migration matrix; Directional mobility index; Time series analysis; Spectral analysis; Basel III; PIT-ness; PIT; TTC; Markov teori; Affärscykel; Migrationsmatris; Riktningsrörelsesindex; Tidsserieanalys; Spektralanalys; Basel III; PIT-ness; PIT; TTC;

    Sammanfattning : In order to be compliant with the Basel regulations, banks need to compute two probabilities of default (PDs): point-in-time (PIT) and through-the-cycle (TTC). The aim is to explain fluctuations in the rating system, which are expected to be affected by systematic and idiosyncratic factors. LÄS MER

  7. 5. Transition Matrices Conditional on Macroeconomic Cycles: A Portfolio Stress-Test Application

    Master-uppsats, Göteborgs universitet/Graduate School

    Författare :Jesper Karlsson; [2018-07-04]
    Nyckelord :Risk Management; Migration Analysis; Intensity Models; IFRS 9; Basel Accords; Portfolio Stress Test;

    Sammanfattning : Transition matrices show the probabilities of credit rating migrations for a pool of ratings within a particular industry, geographical area, time-horizon, etc. Regulation, in the form of Basel accords, has opted for standards in banking that among other techniques use transition matrices, and thus the probability of default, for internally-based risk-assessment, as well as incorporating the external credit rating in the capital requirement calculation. LÄS MER