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Showing result 1 - 5 of 92 essays matching the above criteria.

  1. 1. Beyond the Crisis: A Safe Haven Analysis : Empirical Insights into the Divergence of Gold and Bonds for Portfolio Hedging

    University essay from Umeå universitet/Företagsekonomi

    Author : Anthony Baugi; Eugene Zhang; [2024]
    Keywords : Gold; Bonds; Safe Haven; Hedging; US Treasury; Volatility; Covid; Portfolio Theory; Asset Dynamics; Fiscal Policy; Monetary Policy; Financial Crisis; Asset Management; Risk Management; Portfolio Risk;

    Abstract : Purpose: This thesis investigates the relationship concerning traditional safe haven assets, gold and US 10-year treasury bonds during periods of market instability, specifically during the economic concerns raised by the COVID-19 pandemic. It assesses the hedging and safe haven properties of these assets and their dynamic nature throughout two periods of unconventional monetary and fiscal policy measures by the Federal Reserve & US Congress respectively. READ MORE

  3. 2. Pushed into the Political Mainstream? : A study of the use and influence of anti-abortion policy frames in the European Parliament

    University essay from Uppsala universitet/Statsvetenskapliga institutionen

    Author : Sofia Kahma; [2024]
    Keywords : ;

    Abstract : This thesis explores the use and influence of anti-abortion policy frames during the Van Lancker (2002), Estrela (2013), and Matić (2021) debates in the European Parliament (EP). The purpose is to reveal whether and how anti-abortion frames have influenced the work of the EP and its Members of Parliament (MEP) and to analyze how the opposition to abortion has evolved from 2002-2021. READ MORE

  4. 3. Unraveling the Complexities of Energy Poverty in Germany- A Comparative Analysis of Determinants, Dynamics, and Indicators

    University essay from Göteborgs universitet/Graduate School

    Author : Freya Leverenz; [2023-07-03]
    Keywords : Energy poverty; Dynamic random effects probit; Survival analysis; Capability approach;

    Abstract : This master thesis investigates the determinants and dynamics of energy poverty in Germany based on different calculation methods. Using a dynamic random-effects probit model, socioeconomic factors associated with a household’s risk of experiencing energy poverty are identified. READ MORE

  5. 4. Never Again Alone - A Framing Analysis of How the Finnish Government Representatives Construct a NATO Membership as Finland's Security Interest

    University essay from Försvarshögskolan

    Author : Sanni Laine; [2023]
    Keywords : Finland; Russia; NATO; Finnish security and foreign politics; state security interest;

    Abstract : This study investigates the Finnish government members’ argumentation prior to Finland’s strikingly unanimous parliamentary vote in favour of NATO membership on May 17, 2022. By focusing on the government representatives’ accounts, the study aims to shed light on how the NATO membership decision is crafted to represent Finland’s security interest after a decades-long tradition of military non-alignment as a cornerstone of the country’s securityand foreign policy. READ MORE

  6. 5. Customer churn prediction in a slow fashion e-commerce context : An analysis of the effect of static data in customer churn prediction

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

    Author : Luca Colasanti; [2023]
    Keywords : Survival Analysis; Time To Event prediction; Churn retention; Machine Learning; Deep Learning; Customer Clustering; E-commerce; Analisi di sopravvivenza; Previsione del tempo a evento; Ritenzione dall’abbandono dei clienti; Apprendimento automatico; Apprendimento profondo; Segmentazione della clientela; Commercio elettronico; Överlevnadsanalys; Tid till händelseförutsägelse; Churn Prediction; Maskininlärning; Djuplärning; Kundkluster; E-handel;

    Abstract : Survival analysis is a subfield of statistics where the goal is to analyse and model the data where the outcome is the time until the occurrence of an event of interest. Because of the intrinsic temporal nature of the analysis, the employment of more recently developed sequential models (Recurrent Neural Network (RNN) and Long Short Term Memory (LSTM)) has been paired with the use of dynamic temporal features, in contrast with the past reliance on static ones. READ MORE