Sökning: "Credit score"

Visar resultat 21 - 25 av 50 uppsatser innehållade orden Credit score.

  1. 21. Anomaly Detection in Credit Card Transactions using Autoencoders

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Carl Nordling; [2020]
    Nyckelord :;

    Sammanfattning : Money lost in credit card fraud reached approximately 27.85 billion dollars worldwide in 2018. Using machine learning and anomaly detection, fraud detection can be utilised with the goal of solving this major problem. LÄS MER

  3. 22. Technological Salvation or Orwellian Panopticon? : A Case Study on Social Labelling, Governance, and Social Control in China´s Social Credit System

    Kandidat-uppsats, Linnéuniversitetet/Institutionen för samhällsstudier (SS)

    Författare :Fredrik Ragnell; [2020]
    Nyckelord :Social Labelling; China; Social Credit System; Governance; Social Control;

    Sammanfattning : The international governance discourse has seen radical changes in both trends and understandings in recent years, from the global dominance of liberal democracy after the Cold War, to the current movement towards authoritarianism. The modern autocracy has progressed its reach by the use of new applications in technology, which has resulted in a digital authoritarianism, also known as E-governance. LÄS MER

  4. 23. Research on Credit Risk Measurement of China’s Listed Companies with KMV Model

    Magister-uppsats, Lunds universitet/Nationalekonomiska institutionen

    Författare :Tong Liu; Xiuyi Chen; [2020]
    Nyckelord :Credit risk measurement model; KMV model; Z-Score model; ST companies; ROC curve.; Business and Economics;

    Sammanfattning : This thesis takes 200 Chinese listed companies as examples within ten years from 2009 to 2018, of which 100 are ST companies and the other 100 are non-ST companies. ST company is a company that has financial problems and was then implemented with special treatment by the China Securities Regulatory Commission. LÄS MER

  5. 24. Predicting Default Probability in Credit Risk using Machine Learning Algorithms

    Master-uppsats, KTH/Matematisk statistik

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

    Sammanfattning : 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. LÄS MER

  7. 25. The impact of ESG score on firm's cost of capital and riskiness

    Kandidat-uppsats,

    Författare :William Berntsson; [2019-07-05]
    Nyckelord :;

    Sammanfattning : This paper investigates the relationship between a firm´s Thomson Reuters ESG score and its weighted average cost of capital & implied credit default swap spread. The research is conducted on the Swedish stock exchanges and uses all available firms with an available ESG score. The effect is measured from 2017 to 2019. LÄS MER