Sökning: "Macroeconomic Trends"

Visar resultat 1 - 5 av 28 uppsatser innehållade orden Macroeconomic Trends.

  1. 1. Segmenting Countries in the Food Packaging Market: A Cluster Analysis Approach

    Magister-uppsats, Lunds universitet/Statistiska institutionen; Lunds universitet/Nationalekonomiska institutionen

    Författare :Ninda Atikah Mawaddah; Aksaraphak Nijsathorn; [2023]
    Nyckelord :Unsupervised Machine Learning; Clustering; K-Means Clustering; Hierarchical Clustering; Principal Component Analysis; Business and Economics;

    Sammanfattning : The food packaging market has been witnessing substantial growth due to changing consumer lifestyles, urbanization, increased purchasing power, and growing environmental sustainability awareness. This growth presents significant opportunities for companies operating in this market. LÄS MER

  2. 2. International Market Selection of Home Region Oriented MNEs : An Exploratory Case Study into Frameworks and Challenges in Today’s Business World

    Master-uppsats, Jönköping University/Internationella Handelshögskolan

    Författare :Felix Flint; Moritz Winkelius; [2023]
    Nyckelord :Internationalization; International Market Selection; MNE; Home Region Oriented; Multicriteria Decision Making Framework;

    Sammanfattning : This study aims to explore the factors, aspects, and trends considered in the International Market Selection (IMS) process. Consequentially, it develops a deeper understanding of the challenges faced by home region oriented multinational enterprises (MNEs) during international expansion. LÄS MER

  3. 3. Portfolio Risk Modelling in Venture Debt

    Master-uppsats, KTH/Matematisk statistik

    Författare :John Eriksson; Jacob Holmberg; [2023]
    Nyckelord :Startup Default Probability; Venture Debt; Gaussian Copula; Value-at-Risk; Expected Shortfall; Exposure at Default; Loss Given Default; Forecast; Linear Dynamic System; ARIMA Time Series; Monte Carlo Simulation; Linear Regression; Central Limit Theorem;

    Sammanfattning : This thesis project is an experimental study on how to approach quantitative portfolio credit risk modelling in Venture Debt portfolios. Facing a lack of applicable default data from ArK and publicly available sets, as well as seeking to capture companies that fail to service debt obligations before defaulting per se, we present an approach to risk modeling based on trends in revenue. LÄS MER

  4. 4. Hitting the Target: An Analysis of Inflation Targeting Policies

    C-uppsats, Handelshögskolan i Stockholm/Institutionen för nationalekonomi

    Författare :Elin Roslund; Victoria Benckert; [2023]
    Nyckelord :Inflation Target; Inflation; Generalized Synthetic Control Method; Discretion; Taylor Rule;

    Sammanfattning : Acknowledging that world inflation reached its highest levels in decades in 2022, this paper investigates how the adoption of an inflation targeting regime has affected the inflation level and the inflation variability for a sample of five advanced economies from 1980 until the end of 2020. This paper discusses the implications of inflation targets in relation to the relative output growth across inflation targeting and non-inflation targeting economies to further contribute to the debate about its efficacy. LÄS MER

  5. 5. Predicting Workforce in Healthcare : Using Machine Learning Algorithms, Statistical Methods and Swedish Healthcare Data

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

    Författare :Gabriel Diskay; Carl Joelsson; [2023]
    Nyckelord :Machine Learning ML ; Linear Regression Model LRM ; Gradient Boosting Regressor GBR ; Exponential Smoothing Model ESM ; Workforce Prediction WP ; Healthcare Sector HS ; Labor Policy LP ; Beveridge Curve BC ; Economic Forecasting EF ; Recursive Feature Elimination RFE ; Human Resource Management HRM ;

    Sammanfattning : Denna studie undersöker användningen av maskininlärningsmodeller för att predicera arbetskraftstrender inom hälso- och sjukvården i Sverige. Med hjälp av en linjär regressionmodell, en Gradient Boosting Regressor-modell och en Exponential Smoothing-modell syftar forskningen för detta arbete till att ge viktiga insikter för underlaget till makroekonomiska överväganden och att ge en djupare förståelse av Beveridge-kurvan i ett sammanhang relaterat till hälso- och sjukvårdssektorn. LÄS MER