Sökning: "cash forecast"

Visar resultat 1 - 5 av 27 uppsatser innehållade orden cash forecast.

  1. 1. Risk Assessment of Digital Assets – Insurance Applications in Cryptocurrencies and NFTs

    Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknik

    Författare :Roberto Delgado Ferrezuelo; [2023]
    Nyckelord :Blockchain; NFTs; private key; phishing; floor price; rarity; cold wallet; hot wallet; risk premium; Technology and Engineering;

    Sammanfattning : The aim of the project is to develop a framework for an insurance policy for digital assets. The project comprised several stages, starting with the identification of risks associated with these assets. Policyholders were then categorized into two groups based on a predefined rating factor. LÄS MER

  3. 2. Relative or Discounted Cash Flow Valuation on the Fifty Largest US-Based Corporations on Nasdaq : Which of these valuation methods provides the most accurate valuation forecast?

    Kandidat-uppsats, Linnéuniversitetet/Institutionen för management (MAN)

    Författare :Marcus Öhrner; Otto Öhman; [2023]
    Nyckelord :Discounted Cash Flow; Dividend Discount Model; Earnings Before Interest and Taxes; Earnings Before Interest; Taxes; Depreciation and Amortization; Enterprise Value-to-Earnings Before Interest; Depreciation; and Amortization ratio; Free Cash Flow to Firm; Free Cash Flow to Equity; Mean Absolute Error; Price-to-Earnings Ratio; PricewaterhouseCoopers; Riskless Rate; Root Mean Square Error; Return on Capital; United States; Weighted Average Cost of Capital;

    Sammanfattning : The topic of this Bachelor Thesis is “Which of these valuation methods provides the most accurate valuation forecast”. Assuming that the year is 2020, the goal of this thesis is to forecast the future stock prices of the fifty largest US-based companies on the Nasdaq stock exchange for 2021 and 2022. LÄS MER

  4. 3. A machine learning approach leveraging technical- and sentiment analysis to forecast price movements in major crypto currencies

    Master-uppsats, KTH/Matematik (Avd.)

    Författare :Ludvig Harting; Nils Åkesson; [2022]
    Nyckelord :Artifical Neural Network; Crypto; Sentiment Analysis; Twitter; Technical Analysis; Bitcoin; Ether; Litecoin; Artificiellt Neuronnät; Kryptovalutor; Sentimentsanalys; Twitter; Teknisk Analys; Bitcoin; Ether; Litecoin;

    Sammanfattning : This paper uses a back-propagating neural network (BPN) to predict the price movements of major crypto currencies, leveraging technical factors as well as measurements of collective sentiment derived from the micro-blogging network Twitter. Our dataset consists of daily, hourly and minutely price levels for Bitcoin, Ether and Litecoin along with 8 popular technical indicators, as well as all tweets with the currencies' cash tags during respective time periods. LÄS MER

  5. 4. Prediction of Short-term Default Probability of Credit Card Invoices Using Behavioural Data

    Master-uppsats, KTH/Matematisk statistik

    Författare :Billy Lu; [2022]
    Nyckelord :Probability of Default; Credit Risk; Short-term Default Prediction; Machine Learning; Gradient Boosting; Thresholding; Sannolikheten för Fallissemang; Kreditrisk; Kortsiktig Fallissemang Prediktion; Maskininlärning; Gradientförstärkning; Tröskling;

    Sammanfattning : Probability of Default (PD) is a standard metric to model and monitor credit risk, a major risk facing financial institutions. Traditional PD models are used to forecast risk levels in the long-term, while short-term PD predictions are rarer, but they can support management decisions on an operational level. LÄS MER

  7. 5. Portfolio optimization using factor models

    Master-uppsats, Lunds universitet/Matematisk statistik

    Författare :Ville Ekelund; [2020]
    Nyckelord :Mathematics and Statistics;

    Sammanfattning : In this thesis model predictive control (MPC) is used to dynamically optimize a portfolio where data is sampled at the closing price. Previous research has shown that MPC optimization applied on financial data can yield a portfolio that exceeds the value of traditional portfolio strategies. LÄS MER