Essays about: "thesis in central banks"

Showing result 1 - 5 of 62 essays containing the words thesis in central banks.

  1. 1. Modelling the Exchange Rate: Evidence from the Impacts of Quantitative Easing in Sweden

    University essay from Handelshögskolan i Stockholm/Institutionen för nationalekonomi

    Author : Anny Eklund; Markus Sallkvist; [2024]
    Keywords : Quantitative easing; Exchange rate; Bayesian VAR model; Small open economy; Triangular factorisation;

    Abstract : Quantitative easing, the unconventional monetary policy measure used by many central banks to combat low inflation when interest rates are at the lower bound, has shown to be an effective tool for depreciating the domestic currency. Although the exchange rate is of particular importance in a small open economy as it directly impacts inflation dynamics,trade competitiveness and plays a substantial role in shaping monetary policy, few papers have investigated how the depreciating effect of QE to the exchange rate works. READ MORE

  3. 2. The Time-Varying Correlation between Regional Home Prices and The Impact of Central Bank Balance Sheet Policies on Home Prices : A Graphical Descriptive Statistics Approach on The US Housing Market

    University essay from KTH/Fastighetsföretagande och finansiella system

    Author : Claudia Patricia Moros Martinez; [2023]
    Keywords : Quantitative easing; Quantitative tapering; Quantitative Research; Stock Prices; Real Estate; Central Banks; Federal Reserve; COVID-19; Kvantitativa lättnader; Kvantitativ nedtrappning; Kvantitativ forskning; Aktiekurser; Fastigheter; Centralbanker; Federal Reserve; COVID-19;

    Abstract : There has been a growing interest in economic policies and their impact within a country among the real estate economics research community in recent years. After the economic crisis of 2008, an unconventional monetary policy was created, and it has been called quantitative easing (QE), an instrument of economic policy applied through central banks to boost the economy in periods when conventional monetary policy is not satisfactory. READ MORE

  4. 3. Abandoning Monolithic Architecture: Leaving an old paradigm for the possibilities of containerized microservices using an automated orchestration tool

    University essay from Stockholms universitet/Institutionen för data- och systemvetenskap

    Author : Sabina Cardell; Oscar Widén; [2023]
    Keywords : Digital Transformation; Change Management Microservices architecture; Monolithic Architecture; Three layer architecture; Containerization; Modernization Refactoring;

    Abstract : Många stora organisationer som myndigheter och banker arbetar med en monolitisk applikationsarkitektur som är ett gammalt sätt att strukturera applikationer. Flera faktorer som att attrahera och behålla talang, vara skalbar och flexibel, samt en bra tjänsteleverans driver dessa organisationer att byta till en mikrotjänstorienterad arkitektur. READ MORE

  5. 4. Applying the Shadow Rating Approach: A Practical Review

    University essay from KTH/Matematik (Avd.)

    Author : Viktor Barry; Carl Stenfelt; [2023]
    Keywords : Shadow Rating; probability of default; low default portfolio; credit risk; statistical learning; financial regulation; Basel; Pluto and Tasche; Skuggrating; sannolikhet av fallissemang; lågfallissemangsportfölj; kreditrisk; statistisk inlärning; finansiella regelverk; Basel; Pluto och Tasche;

    Abstract : The combination of regulatory pressure and rare but impactful defaults together comprise the domain of low default portfolios, which is a central and complex topic that lacks clear industry standards. A novel approach that utilizes external data to create a Shadow Rating model has been proposed by Ulrich Erlenmaier. READ MORE

  6. 5. Peeking Through the Leaves : Improving Default Estimation with Machine Learning : A transparent approach using tree-based models

    University essay from Umeå universitet/Institutionen för matematik och matematisk statistik

    Author : Elias Hadad; Angus Wigton; [2023]
    Keywords : Machine learning; Expected credit loss; Probability of default; ECL; PD; Risk Management; Credit Risk Management; Default Estimation; AI; Artificial intelligence; Fintech; Supervised learning; Decision tree; Random forest; XG boost; Transparency; Machine learning transparency;

    Abstract : In recent years the development and implementation of AI and machine learning models has increased dramatically. The availability of quality data paving the way for sophisticated AI models. Financial institutions uses many models in their daily operations. READ MORE