Sökning: "firms in financial distress"

Visar resultat 1 - 5 av 54 uppsatser innehållade orden firms in financial distress.

  1. 1. ESG Ratings and Stock Market Performance: Evidence of a Shift in Investor Preferences during a Period of Economic Distress in Scandinavia

    C-uppsats, Handelshögskolan i Stockholm/Institutionen för finansiell ekonomi; Handelshögskolan i Stockholm/Institutionen för redovisning och finansiering

    Författare :Johanna Hallstedt; Tim Nyllinge; [2023]
    Nyckelord :Socially Responsible Investing; ESG; Sustainable Investments; Corporate Resilience; Financial Risk;

    Sammanfattning : During the Covid-19 crisis, firms with high environmental, social, and governance (ESG) ratings traded within the Scandinavian markets had more significant pandemic-induced drops in stock returns than firms with low profiles in ESG. The difference was close to ten percentage points more severe for high-ESG compared to low-ESG firms. LÄS MER

  3. 2. Staying alive - On the composition of corporate boards and financial distress risk

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

    Författare :Markus Nilsson; Joel Robling; [2023]
    Nyckelord :Corporate governance; Financial distress; Agency theory; Logistic regression; Board composition;

    Sammanfattning : This study investigates the relationship between corporate governance and financial distress, considering a sample of 237 publicly listed Swedish firms between 2011 and 2021. The two phenomena have been frequently discussed in academia, and in line with prior literature, an agency theory perspective permeates the analysis. LÄS MER

  4. 3. 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

  5. 4. 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

  7. 5. Earnings Management during the Covid-19 Pandemic: Evidence from Sweden

    Master-uppsats, Uppsala universitet/Företagsekonomiska institutionen

    Författare :Anastasija Ljubisavljević; Catarina Jakobsson; [2022]
    Nyckelord :Covid-19 Pandemic; Earnings Management; Accrual-based Earnings Management; Modified Jones Model; Real Earnings Management; Big Bath Accounting;

    Sammanfattning : The financial difficulties following the Covid-19 pandemic have been many. Typically in situations of financial distress, firms are incentivized to utilize earnings management techniques to alter the picture of their financial situation, due to market-based pressure. LÄS MER