Sökning: "Volatile Data"

Visar resultat 1 - 5 av 246 uppsatser innehållade orden Volatile Data.

  1. 1. Impact of Covid-19 on students' financial asset allocation: A Jönköping University study : Quantitative research study on students’ attending Jönköping University financial asset allocation prior and post Covid-19 with different risk attitudes.

    Magister-uppsats, Jönköping University/IHH, Företagsekonomi

    Författare :Axel Koch; [2023]
    Nyckelord :Financial asset allocation; Risk-averse; risk-neutral risk-preference; economic uncertainty; Market fluctuations; Expected utility theory.;

    Sammanfattning : Background: Since the emergence of Covid-19 has it reaped and created havoc within every segment of society on a national and global scale. The financial market experienced significant declines and losses but some asset items handled the fluctuations better than others. LÄS MER

  3. 2. Ökade kostnader i fastprisentreprenader till följd av onormala prisökningar på material

    Uppsats för yrkesexamina på avancerad nivå, Lunds universitet/Byggproduktion

    Författare :John Håkansson; [2023]
    Nyckelord :Technology and Engineering;

    Sammanfattning : In recent years, the construction industry has faced unprecedented challenges related to abnormal price increases on building materials, which have not been experienced since the 1970s oil crisis. These price hikes have been caused by a various of factors, including the COVID-19 pandemic, war in Europe, trade sanctions and high energy prices. LÄS MER

  4. 3. How does the Weakened Swedish Krona Impact the Inflation? A Bayesian VAR Analysis of Exchange Rate Pass-Through

    Master-uppsats, Lunds universitet/Nationalekonomiska institutionen

    Författare :Ebba Wallin; [2023]
    Nyckelord :Exchange rate pass-through; Consumer price inflation; Frequency of price adjustment; Import price inflation; Bayesian vector autoregression; Business and Economics;

    Sammanfattning : Exchange rate pass-through to prices differ depending on the underlying shock. Furthermore, the mechanisms causing inflation behave diversely, conditional on why the exchange rate fluctuates. This paper investigates how prices react relative to the exchange rate movements, i.e. LÄS MER

  5. 4. Modelling Proxy Credit Cruves Using Recurrent Neural Networks

    Master-uppsats, KTH/Matematisk statistik

    Författare :Lucas Fageräng; Hugo Thoursie; [2023]
    Nyckelord :Deep Neural Networks; Credit Risk; Financial Modelling; LSTM; Credit Default Swaps; Credit Valuation Adjustment; Djupa Neurala Nätverk; Kreditrisk; Finansiell Modellering; LSTM; Kreditswappar; Kreditvärderingsjustering;

    Sammanfattning : Since the global financial crisis of 2008, regulatory bodies worldwide have implementedincreasingly stringent requirements for measuring and pricing default risk in financialderivatives. Counterparty Credit Risk (CCR) serves as the measure for default risk infinancial derivatives, and Credit Valuation Adjustment (CVA) is the pricing method used toincorporate this default risk into derivatives prices. LÄS MER

  7. 5. Predicting Cryptocurrency Prices with Machine Learning Algorithms: A Comparative Analysis

    Kandidat-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Författare :Harsha Nanda Gudavalli; Khetan Venkata Ratnam Kancherla; [2023]
    Nyckelord :Bitcoin; Cryptocurrency; Machine Learning;

    Sammanfattning : Background: Due to its decentralized nature and opportunity for substantial gains, cryptocurrency has become a popular investment opportunity. However, the highly unpredictable and volatile nature of the cryptocurrency market poses a challenge for investors looking to predict price movements and make profitable investments. LÄS MER