Essays about: "performance management balanced"

Showing result 1 - 5 of 70 essays containing the words performance management balanced.

  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. Active learning for text classification in cyber security

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

    Author : Amanda Carp; [2023]
    Keywords : Interactive machine learning; Active learning; Cost-effective active learning; Cyber environment; Interaktiv maskininlärning; Aktiv inlärning; Kostnadseffektiv aktiv inlärning; Cyberdomänen;

    Abstract : In the domain of cyber security, machine learning promises advanced threat detection. However, the volume of available unlabeled data poses challenges for efficient data management. This study investigates the potential for active learning, a subset of interactive machine learning, to reduce the effort required for manual data labelling. READ MORE

  4. 3. A Holistic Framework for Analyzing the Reliability of IoT Devices

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

    Author : Leonardo Manca; [2023]
    Keywords : Canvas Learning Management System; Docker containers; Performance tuning Performance tuning; Internet of Things IoT ; Reliability; Failure rate; Availability; Comprehensive framework; IoT architecture; Failure modes; Reliability Block Diagram RBD ; Prestandajustering; Sakernas internet IoT ; Tillförlitlighet; Felfrekvens; Tillgänglighet; Heltäckande ramverk; IoT-arkitektur; Felfunktioner; Till-förlitlighetsblockdiagram RBD Canvas Lärplattform; Dockerbehållare; Prestandajustering;

    Abstract : In the rapidly evolving landscape of the Internet of Things (IoT), ensuring consistency and reliability becomes a top priority for a seamless user experience. In many instances, reliability is assessed through Quality of Service (QoS) metrics, sidelining traditional reliability metrics that thrive on time-dependent failure rates. READ MORE

  5. 4. Better Safe Than Sorry. A quantitative study on Psychological Safety, Media Richness, and Trust in Workgroups

    University essay from Handelshögskolan i Stockholm/Institutionen för företagande och ledning

    Author : Adam Hofvander; Edwin Hydén Karlsson; [2023]
    Keywords : Psychological Safety; Virtual Teams; Media Richness; Trust; Workgroups;

    Abstract : In the contemporary landscape, virtual work has become an increasingly prevalent phenomenon, persisting even in the post-pandemic era. By virtue of its implications on team performance, psychological safety has become one of the most important concepts in the managerial biosphere; a concept which has further been closely linked to trust. READ MORE

  6. 5. Exploratory Assessment of Machine Learning, Geospatial Methods, and Data Evaluation Techniques for Modelling Cooking Fuels in Colombia

    University essay from KTH/Skolan för industriell teknik och management (ITM)

    Author : Federico Naranjo Hernandez; [2023]
    Keywords : ;

    Abstract : This thesis evaluates the application of machine learning and Geographic Information System (GIS) methods to analyze Colombia's cooking fuels landscape. The study aims to identify socio-economic and geographical factors affecting cooking fuel choices and assess the predictive power of various machine learning algorithms using associative data. READ MORE