Sökning: "Predicting GDP"

Visar resultat 1 - 5 av 22 uppsatser innehållade orden Predicting GDP.

  1. 1. An Evaluation of Leading Indicators in the Context of a Swedish Recession

    Master-uppsats, Lunds universitet/Nationalekonomiska institutionen

    Författare :Rami Soliman; [2023]
    Nyckelord :Probit; Financial Crisis; Recession; Sweden; Leading Indicators; Business and Economics;

    Sammanfattning : The aim of this paper is to evaluate potential leading indicators of a recession in Sweden. To answer the question potential leading indicators are first identified with previous findings in literature and with the current state of the Swedish financial system as background. LÄS MER

  3. 2. Improving House Price Prediction Models: Exploring the Impact of Macroeconomic Features

    Kandidat-uppsats, Uppsala universitet/Statistiska institutionen

    Författare :Martin Holmqvist; Max Hansson; [2023]
    Nyckelord :Machine learning; random forest; xgboost; macroeconomic features; house prices;

    Sammanfattning : This thesis investigates if house price prediction models perform better when adding macroe- conomic features to a data set with only house-specific features. Previous research has shown that tree-based models perform well when predicting house prices, especially the algorithms random forest and XGBoost. LÄS MER

  4. 3. The Nature Of Chapter-22 Debtors - Forecasting Bankruptcy Recidivism Through a Novel Distress Predictor Model

    D-uppsats, Handelshögskolan i Stockholm/Institutionen för finansiell ekonomi

    Författare :Niranjan Bhardwaj; Samuel Vrbovsky; [2022]
    Nyckelord :Bankruptcy; Restructuring; Debt;

    Sammanfattning : This paper investigates the determinants of bankruptcy recidivism in U.S. courts using a sample of large Chapter 11 cases. We develop, through a series of logistic regressions, a novel distress predictor model that provides insights into variables that are critical to predicting bankruptcy recidivism. LÄS MER

  5. 4. Kan tunga transporter sia om det svenska konjunkturläget? : En ekonometrisk studie av förhållandet mellan tunga transporter och svensk BNP & IPI

    Master-uppsats, Linköpings universitet/Nationalekonomi; Linköpings universitet/Filosofiska fakulteten

    Författare :Anton Eskilsson; Mikael Wittlock; [2022]
    Nyckelord :Granger-causality; cointegration; economic growth; GDP; IPI; road freight; Granger-kausalitet; kointegration; konjunkturindikator; BNP; IPI; tunga transporter;

    Sammanfattning : Bakgrund: Prognoser för den framtida konjunkturutvecklingen är av värde för såväl allmänheten som beslutsfattare i många led. De förlitar sig på olika former av ekonomiska prognoser för att justera sina förväntningar på efterfrågan och prissättning därefter. LÄS MER

  7. 5. To what extent may a decline in schooling caused by the covid-19 pandemic affect Kenya’s GDP? A Scenario Modeling Approach using Multiple Linear Regression

    Kandidat-uppsats, Lunds universitet/Nationalekonomiska institutionen

    Författare :Fanny af Petersens; [2021]
    Nyckelord :Schooling; Scenario Modeling; Human Capital; GDP; The Solow Model; Kenya; Sub- Saharan Africa; Economic Growth; Covid-19; Business and Economics;

    Sammanfattning : This study focuses on the relationship between education and economic growth, specifically the effect a potential decline in schooling caused by the ongoing Covid-19 pandemic would have on the economic growth of a country. Using an inductive approach, the study focuses on the Sub- Saharan African countries, especially Kenya, since there is anecdotal evidence that a significant number of students have not returned to school after the closures caused by the Covid-19 pandemic. LÄS MER