Essays about: "Corporate Learning"

Showing result 1 - 5 of 99 essays containing the words Corporate Learning.

  1. 1. Modeling Credit Default Swap Spreads with Transformers : A Thesis in collaboration with Handelsbanken

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Johan Luhr; [2023]
    Keywords : Machine Learning; Transformer; Finance; Credit Default Swap; Credit Valuation Adjustment; Time Series Data; Maskininlärning; Transformer; Finance; Kreditswapp; Kredit Värderings Justering; Tidsserie data;

    Abstract : In the aftermath of the credit crisis in 2007, the importance of Credit Valuation Adjustment (CVA) rose in the Over The Counter (OTC) derivative pricing process. One important part of the pricing process is to determine Probability of Defaults (PDs) of the counterparty in question. READ MORE

  3. 2. Analysing CSR reporting over the years, company size, region, and sector through dictionary-based text mining

    University essay from Högskolan Dalarna/Institutionen för information och teknik

    Author : Anuj Singhvi; Dorna Jahangoshay Sarijlou; [2023]
    Keywords : Corporate Social Responsibility; Sustainability Reporting; Natural Language Processing; Text Mining; CSR Dictionaries;

    Abstract : As Corporate Social Responsibility (CSR) reports become more prevalent and systematised, there is a strong need to develop approaches that seek to analyse the contents of these reports. In this thesis, we present two valuable contributions. READ MORE

  4. 3. The Tale of Two Techniques - The comparative accuracy of machine learning and statistical techniques in predicting corporate bankruptcy for Swedish industrial firms

    University essay from Handelshögskolan i Stockholm/Institutionen för redovisning och finansiering

    Author : Edvin Lindhout; Hampus Ljunglöf; [2023]
    Keywords : Bankruptcy prediction; Machine learning; XGBoost; Probit analysis; Swedish firms;

    Abstract : Bankruptcy prediction has long been an important area of study, yet the evolution of these predictive models in the context of modern machine learning techniques remains underexplored. Our thesis addresses this by comparing the effectiveness of probit analysis - a time-tested statistical approach - with XGBoost - a new-era machine learning technique - in predicting corporate bankruptcy among Swedish firms. READ MORE

  5. 4. Customer Acquisition Process Digitalization: A Case Study on the Use of Machine Learning in The Corporate Insurance Industry

    University essay from KTH/Skolan för industriell teknik och management (ITM)

    Author : Klara Larsson; Freja Ling; [2023]
    Keywords : Customer Relationship Management CRM ; Customer Classification; Customer Acquisition; Machine Learning; Insurance Industry; Corporate Insurance; B2B; AI-CRM; Kundrelationssystem CRM ; Kunklassificering; Nykundsbearbetning; Maskininlärning; Försäkringsbranchen; Företagsförsäkring; B2B; AI-CRM;

    Abstract : This thesis explores the application of machine learning 8ml9 techniques in customer classification and their intergration into customer relationship management (CRM) systems within the corporate insurance industry. The research aims to address the gap in the use of AI-CRM for the corporate insurance industry. READ MORE

  6. 5. Predicting corporate financial distress- A deep neural network approach

    University essay from Göteborgs universitet/Graduate School

    Author : Adam Eklund; Petter Lundgren; [2022-06-29]
    Keywords : ;

    Abstract : Background. Predicting bankruptcy is of great importance for creditors, investors and other stakeholders. Early warning signs of financial distress allow stakeholders to take action to minimize the negative consequences of a bankruptcy. READ MORE