Sökning: "Prediction of financial distress"

Visar resultat 1 - 5 av 21 uppsatser innehållade orden Prediction of financial distress.

1. 1. Maskininlärning & Random Forest: Överträffar traditionella kreditmodeller

   Kandidat-uppsats, Lunds universitet/Nationalekonomiska institutionen

   Författare :Simon Johansson; [2023]
   Nyckelord :Altman Z-Score; Random Forest; Machine Learning; Bankruptcy prediction; Business and Economics;

   Sammanfattning : The Altman Z-Score model is one of the most famous models för predicting bankruptcy and measuring financial distress for companies. It uses multivariate discriminant analysis to classify companies in three different groups based on their calculated Z-Score. LÄS MER

3. 2. Predicting corporate financial distress- A deep neural network approach

   Master-uppsats, Göteborgs universitet/Graduate School

   Författare :Adam Eklund; Petter Lundgren; [2022-06-29]
   Nyckelord :;

   Sammanfattning : 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. LÄS MER

4. 3. Utvärdering av maskininlärningsmodeller vid konkursprediktion

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

   Författare :Mikaela Jansson; Katarina Ölander Gür; [2021]
   Nyckelord :;

   Sammanfattning : Att identifiera finansiella svårigheter vid bedömning av ett företags ekonomiska situation är väsentligt för att kreditgivare ska undvika kreditförluster. En viktig del av kreditbedömningen är att analysera sannolikheten för att ett företag kommer gå i konkurs eller inte. LÄS MER

5. 4. Who Saw It Coming?: The Efficacy of Bankruptcy Prediction Models on Private Retail Firms

   C-uppsats, Handelshögskolan i Stockholm/Institutionen för marknadsföring och strategi

   Författare :Edvin Lindhout; Erik Larsson; [2021]
   Nyckelord :Bankruptcy; Private Firms; Retail; Sensitivity; Capitalization of Leases;

   Sammanfattning : Bankruptcy is never considered a desired outcome, and methods of predicting it have received extensive attention during the past decades. However, as a consequence of weak academic interest and peculiar financial profiles, retail bankruptcy prediction remains rather unexplored. LÄS MER

7. 5. Predicting financial distress using financial and non-financial indicators: Evidence from Chinese listed manufacturing companies

   D-uppsats, Handelshögskolan i Stockholm/Institutionen för redovisning och finansiering

   Författare :Hanzhe Zhao; Chenjia Tao; [2021]
   Nyckelord :Financial distress prediction; Financial and non-financial indicators; Logistic regression; Listed manufacturing companies; ST and *ST;

   Sammanfattning : This paper investigates empirically the utility of combining non-financial indicators to financial models with only financial indicators to explain the company financial distress in the Chinese manufacturing industry using a sample of 614 company-year observations of listed companies during the period 2010-2020. This paper develops financial distress prediction models for Chinese listed manufacturing companies. LÄS MER