Sökning: "returns"

Visar resultat 1 - 5 av 2326 uppsatser innehållade ordet returns.

  1. 1. Design and Assessment of an Engine for Embedded Feature Annotations

    Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknik

    Författare :Tobias Schwarz; [2021-03-03]
    Nyckelord :Embedded Annotations; Feature; Software Engineering; Software Product Line; Git; Partial Commits;

    Sammanfattning : Features are an inherent unit of development of every software; and are defined as aset of implementation artifacts that constitute a functionality that adds value to theproduct, and is perceived useful by the customer. Locating features in source code isa typical software developer task, whether it before implementing a new feature, ormaintaining and bug fixing of existing ones, as it is essential to know where to makechanges. LÄS MER

  2. 2. Avgörande faktorer för abnormal avkastning vid aktiesplit. 

    Kandidat-uppsats, Göteborgs universitet/Institutionen för nationalekonomi med statistik

    Författare :Enok Gartvall; Carl Landahl; [2021-02-05]
    Nyckelord :;

    Sammanfattning : This thesis studies how stock splits on the Nasdaq Composite Index between 2001-2019 affect the abnormal returns around the announcement day. Furthermore, it also examines which factors may explain the abnormal returns. Four hypotheses are constructed and then tested by using an event study and a regression model. LÄS MER

  3. 3. Hierarchical Clustering To Improve Portfolio Tail Risk Characteristics

    Master-uppsats, Lunds universitet/Matematisk statistik

    Författare :Adam Eidenvall; [2021]
    Nyckelord :Hierarchical Clustering; Asset Allocation; Portfolio Construction; Graph Theory; Machine Learning; Risk Parity; Regime Shift; Bootstrapping; Walk Forward; Mathematics and Statistics;

    Sammanfattning : Many agree that estimating portfolio risks has better estimation possibilities, than estimations on returns. Therefore investors attempts to construct better, more efficient riskmanaged portfolios by diversifying portfolios through factors rather than traditional asset classes. LÄS MER

  4. 4. Machine Learning with Reconfigurable Privacy on Resource-Limited Edge Computing Devices

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

    Författare :Zannatun Nayem Tania; [2021]
    Nyckelord :Data Privacy; Resource Management; Machine Learning; Fitbit; Internet of Things IoT ; Optimization; Dataintegritet; Resurshantering; Machine Learning; Fitbit; Internet of Things IoT ; Optimering;

    Sammanfattning : Distributed computing allows effective data storage, processing and retrieval but it poses security and privacy issues. Sensors are the cornerstone of the IoT-based pipelines, since they constantly capture data until it can be analyzed at the central cloud resources. However, these sensor nodes are often constrained by limited resources. LÄS MER

  5. 5. Implementation av centraliserad Multihop Routing med High Level Architecture : En empirisk undersökning av kontextspecifika heuristiker för effektiv grafsökning

    Kandidat-uppsats, Linköpings universitet/Institutionen för datavetenskap

    Författare :Lukas Pohlman; [2021]
    Nyckelord :Distributed simulations; High Level Architecture; Routing algorithms; Graphsearch; Distribuerade simuleringar; High Level Architecture; Routingalgoritmer; Grafsökning;

    Sammanfattning : I detta arbete har en trådad simulator tagits fram enligt standarden High Level Architecture (HLA). Simulatorn är kapabel att avgöra den kortaste vägen från alla noder till alla andra noder i ett radionätverk med 200 noder på i genomsnitt 263 millisekunder. LÄS MER