Essays about: "Macroeconomic Prediction"

Showing result 1 - 5 of 20 essays containing the words Macroeconomic Prediction.

  1. 1. Macro-based Adjustment Factors for Valuations in Venture Capital

    University essay from Lunds universitet/Nationalekonomiska institutionen

    Author : Tomás Pinto; [2023]
    Keywords : Valuation; Start-ups; VCM; Multiples Approach; Business and Economics;

    Abstract : This paper focuses on creating macro-based adjustment factors which can be applied to the valuation of start-up companies. Since start-up companies are private, market valuations are limited to events such as funding rounds or M&A transactions, which happen only at discrete points in time. READ MORE

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

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Gabriel Diskay; Carl Joelsson; [2023]
    Keywords : 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 ;

    Abstract : 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. READ MORE

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

    University essay from Uppsala universitet/Statistiska institutionen

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

    Abstract : 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. READ MORE

  5. 4. Predicting Financial Trader Participation in Fixing Risk Mitigation Cycles : A Machine Learning Approach

    University essay from KTH/Matematisk statistik

    Author : Eric Bojs; [2022]
    Keywords : ;

    Abstract : Financial markets have been crucial in driving capital investments across the world. Anessential piece of these markets is the presence of risk takers, or market speculators, who will hold financial portfolios in hopes of profit. READ MORE

  6. 5. Predicting Bankruptcy with Machine Learning Models

    University essay from Uppsala universitet/Statistiska institutionen

    Author : Thea Åkerblom; [2022]
    Keywords : ;

    Abstract : This thesis explores the predictive power of different machine learning algorithms in Swedish firm defaults. Both firm-specific variables and macroeconomic variables are used to calculate the estimated probabilities of firm default. READ MORE