Essays about: "probability of default"

Showing result 1 - 5 of 74 essays containing the words probability of default.

  1. 1. Modelling default probabilities: The classical vs. machine learning approach

    University essay from KTH/Matematisk statistik; KTH/Matematisk statistik

    Author : Filip Jovanovic; Paul Singh; [2020]
    Keywords : Machine learning; gradient boosting; pd-modelling; CatBoost; Random Forest; Logistic Regression; Maskininlärning; gradient boosting; fallissemangmodellering; CatBoost; Random Forest; Logistisk Regression;

    Abstract : Fintech companies that offer Buy Now, Pay Later products are heavily dependent on accurate default probability models. This is since the fintech companies bear the risk of customers not fulfilling their obligations. READ MORE

  2. 2. Probability of Default and Credit Spreads in Banks: Examining a Modified Merton Model for Assessing Bank Risk

    University essay from Handelshögskolan i Stockholm/Institutionen för finansiell ekonomi

    Author : Linus Sigurdson; Fritiof Carling; [2020]
    Keywords : Banks; RNPD; Merton model; Credit spreads; Risk;

    Abstract : We examine the modified Merton model, as proposed by Nagel and Purnanandam (2019), and its ability to explain bank credit risk by comparing it to the standard Merton model. Previous structural models of default risk build on the assumption that assets follow a log-normal distribution, which is not applicable to banks. READ MORE

  3. 3. On the Proxy Modelling of Risk-Neutral Default Probabilities

    University essay from KTH/Matematisk statistik

    Author : Edvin Lundström; [2020]
    Keywords : Counterparty Credit Risk; Credit Valuation Adjustment; CVA; Credit modelling; Reduced form model; Proxy model; Hazard rate; Cross-section model; Nomura model; Motpartsrisk; Kreditvärderingsjustering; CVA; Kreditmodellering; Proxymodellering; Nomuramodellen;

    Abstract : Since the default of Lehman Brothers in 2008, it has become increasingly important to measure, manage and price the default risk in financial derivatives. Default risk in financial derivatives is referred to as counterparty credit risk (CCR). The price of CCR is captured in Credit Valuation Adjustment (CVA). READ MORE

  4. 4. Predicting Default Probability in Credit Risk using Machine Learning Algorithms

    University essay from KTH/Matematisk statistik

    Author : Sarah Kornfeld; [2020]
    Keywords : Credit risk; default probability; machine learning; logsitic regression; basel framework; Kreditrisk; fallissemangssannolikhet; maskininlärning; logistisk regression; baselregelverk;

    Abstract : This thesis has explored the field of internally developed models for measuring the probability of default (PD) in credit risk. As regulators put restrictions on modelling practices and inhibit the advance of risk measurement, the fields of data science and machine learning are advancing. READ MORE

  5. 5. Machine Learning in credit risk : Evaluation of supervised machine learning models predicting credit risk in the financial sector

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

    Author : Love Lundström; Oscar Öhman; [2019]
    Keywords : Credit risk; probability of default; Logistic regression; Neural network; Decision tree; Random Forest; Kredit risk; sannolikheten att fallera; Logistisk regression; Neurala nätverk; Decision Tree; Random Forest;

    Abstract : When banks lend money to another party they face a risk that the borrower will not fulfill its obligation towards the bank. This risk is called credit risk and it’s the largest risk banks faces. According to the Basel accord banks need to have a certain amount of capital requirements to protect themselves towards future financial crisis. READ MORE