Sökning: "Extreme"

Visar resultat 1 - 5 av 1636 uppsatser innehållade ordet Extreme.

  1. 1. Overreaction in Bitcoin before and during COVID-19

    Master-uppsats, Göteborgs universitet/Graduate School

    Författare :Georgios Kirkinezos; Endri Skora; [2021-06-30]
    Nyckelord :Cryptocurrencies; Bitcoin; COVID-19; investors; Cryptocurrency Market; Returns; Quantile Autoregressive Model QAR ;

    Sammanfattning : MSc in Finance.... LÄS MER

  2. 2. EMPIRICAL ANALYSIS OF DEPENDENCE STRUCTURES AND SPILLOVER EFFECTS ACROSS STOCK MARKETS: A STUDY OF RELATIONSHIP BETWEEN VIETNAM AND ITS MAJOR TRADING PARTNERS

    Master-uppsats, Göteborgs universitet/Graduate School

    Författare :My Phung; [2021-06-30]
    Nyckelord :stock markets; dependence structure; spillover effect; copula model; VAR-BEKK-GARCH model;

    Sammanfattning : MSc in Finance.... LÄS MER

  3. 3. Boom, Bust and Betrayal- Business cycles and securities fraud in the US between 1996-2019

    Master-uppsats, Göteborgs universitet/Graduate School

    Författare :Viktoria Carshaw; Rinske de Vries; [2021-06-29]
    Nyckelord :;

    Sammanfattning : MSc in Economics.... LÄS MER

  4. 4. Vatten känner inga gränser: En studie om planerares upplevelse av ansvarsfördelning och samordning gällande klimatanpassning

    Kandidat-uppsats, Göteborgs universitet / Institutionen för ekonomi och samhälle

    Författare :Oskar Bjarnehed; Linnéa Ekenberg; [2021-06-23]
    Nyckelord :Ansvarsfördelning; samverkan; skalor; klimatanpassning; översvämningsskydd; division of responsibilities; collaboration; scales; climate change adaptation; flood protection;

    Sammanfattning : Gothenburg is a waterfront city. Due to climate change, this proximity to water leads to an ever-higher risk of flooding. If nothing is done, the city risks severe economic and social consequences due to flooding. To reduce the risks, there is a need to adapt and implement measures for flood protection. LÄS MER

  5. 5. RISK ESTIMATION FOR PERCEPTION FAILURES IN AUTOMATED DRIVING

    Master-uppsats, Göteborgs universitet/Institutionen för matematiska vetenskaper

    Författare :Love Nilsson; [2021-06-15]
    Nyckelord :;

    Sammanfattning : The failure of sensors to perceive the environment correctly is one of the primarysources of risk that needs to be quantified in the development of active safetyfeatures for autonomous vehicles. By extracting training data from the CARLAsimulator, an object detector was trained to simulate a perception system ofan autonomous vehicle. LÄS MER