Essays about: "probability of default"
Showing result 11 - 15 of 97 essays containing the words probability of default.
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11. Bankruptcy determinants among Swedish SMEs : - The predictive power of financial measures
University essay from Uppsala universitet/Företagsekonomiska institutionenAbstract : The main purpose of this paper is to provide evidence of financial leverage, liquidity, profitability, and firm size ability to predict bankruptcy of Swedish small and medium-sized enterprises (SMEs), and to create a bankruptcy prediction model for Swedish SMEs. The sample consists of 1086 Swedish SMEs, among which 543 did go bankrupt between 2015 and 2019. READ MORE
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12. Deep Learning Approach for Time- to-Event Modeling of Credit Risk
University essay from KTH/Matematisk statistikAbstract : This thesis explores how survival analysis models performs for default risk prediction of small-to-medium sized enterprises (SME) and investigates when survival analysis models are preferable to use. This is examined by comparing the performance of three deep learning models in a survival analysis setting, a traditional survival analysis model Cox Proportional Hazards, and a traditional credit risk model logistic regression. READ MORE
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13. Do CSR pillars have an effect on credit risk? An empirical comparison between Canadian and Mexican firms
University essay from Lunds universitet/Nationalekonomiska institutionenAbstract : This paper aims to empirically examine the effect, if any, of each Corporate Social Responsibility dimension (i.e., Environmental, Social, and Governance activities) on firms’ credit risk for two countries with a different CSR culture, Canada and Mexico. READ MORE
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14. Probability of Default Term Structure Modeling : A Comparison Between Machine Learning and Markov Chains
University essay from Umeå universitet/Institutionen för matematik och matematisk statistikAbstract : During the recent years, numerous so-called Buy Now, Pay Later companies have emerged. A type of financial institution offering short term consumer credit contracts. As these institutions have gained popularity, their undertaken credit risk has increased vastly. Simultaneously, the IFRS 9 regulatory requirements must be complied with. READ MORE
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15. Corporate default prediction: a comparison between Merton model and random forest in an environment of data scarcity
University essay from Lunds universitet/Nationalekonomiska institutionenAbstract : The aim of this paper is to compare the performance of the Merton model to a machine learning technique (random forest), in a context where the number of predictors is low or the dataset is quite small. Since random forest is a data-intensive method, the main goal is to find the minimum number of explanatory variables and observations that is needed for it to perform at least as well as the Merton model, an approach developed in the 70s that gives the probability of the firm defaulting. READ MORE
