Essays about: "impact of credit risk"

Showing result 1 - 5 of 87 essays containing the words impact of credit risk.

1. 1. The impact of environmental performance on credit ratings

   University essay from Lunds universitet/Nationalekonomiska institutionen

   Author : Marta Celina Brejwo; [2023]
   Keywords : ESG; CSR; Environmental performance; Credit ratings; Credit risk; Business and Economics;

   Abstract : This paper aims to investigate the relationship between environmental performance and credit ratings on the Asian, European, and North American market in the context of the ESG framework over a period of ten years through 2013-2022. Through the usage of primarily POLS and POLS with a fixed year effect model, 242 firms across the different regions are studied on an aggregate level, in terms of being consumer oriented and manufacturing intensive as well as on a regional level in order to explore said relationship. READ MORE

3. 2. Moral Hazard and Banking Risk, a Euro Area Analysis

   University essay from Lunds universitet/Nationalekonomiska institutionen

   Author : Emanuel Skeppås; [2023]
   Keywords : Moral Hazard; Capital regulation; Risk; Ownership Influence; Bank Charter; Profitability; Business and Economics;

   Abstract : The study investigates the effects of capital regulations on risk-taking within the Euro- zone banking sector from 2013 to 2019, specifically focusing on the impact of moral hazard stemming from bank charter value and ownership influence. Previous research suggests both bank charters and ownership influence can prompt different risk behaviours and po- tentially influence the effectiveness of capital regulations. READ MORE

4. 3. 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

5. 4. Financial Frontlines: Assessing the impact of the Russia-Ukraine conflict on the European corporate bond market

   University essay from Handelshögskolan i Stockholm/Institutionen för finansiell ekonomi

   Author : Clemens Lässle; Ragnar Turesson; [2023]
   Keywords : Corporate bonds; Credit spreads; Russia-Ukraine war;

   Abstract : This paper investigates how European firms accessed the corporate bond market during the Russia-Ukraine war. Using a comprehensive dataset of European bond issues from 2017-2023, we find that fewer bonds were issued during the war than in previous periods, particularly Russian bonds and those denominated in Rubles. READ MORE

6. 5. RNN-based Graph Neural Network for Credit Load Application leveraging Rejected Customer Cases

   University essay from Högskolan i Halmstad/Akademin för informationsteknologi

   Author : Oskar Nilsson; Benjamin Lilje; [2023]
   Keywords : Machine Learning; Deep Learning; Reject Inference; GNN; GCN; Graph Neural Networks; RNN; Recursive Neural Network; LSTM; Semi-Supervised Learning; Encoding; Decoding; Feature Elimination;

   Abstract : Machine learning plays a vital role in preventing financial losses within the banking industry, and still, a lot of state of the art and industry-standard approaches within the field neglect rejected customer information and the potential information that they hold to detect similar risk behavior.This thesis explores the possibility of including this information during training and utilizing transactional history through an LSTM to improve the detection of defaults. READ MORE