Essays about: "Multi-factor model"
Showing result 1 - 5 of 37 essays containing the words Multi-factor model.
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1. Multi-factor approximation : An analysis and comparison ofMichael Pykhtin's paper “Multifactor adjustment”
University essay from Umeå universitet/Institutionen för matematik och matematisk statistikAbstract : The need to account for potential losses in rare events is of utmost importance for corporations operating in the financial sector. Common measurements for potential losses are Value at Risk and Expected Shortfall. These are measures of which the computation typically requires immense Monte Carlo simulations. READ MORE
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2. Privacy Preserving Biometric Multi-factor Authentication
University essay from Lunds universitet/Institutionen för elektro- och informationsteknikAbstract : This thesis investigates the viability of using Fully Homomorphic Encryption and Machine Learning to construct a privacy-preserving biometric multi-factor authentication system. The system is based on the architecture described as ”Model K - Store distributed, compare distributed” in ISO/IEC 24745:2022 and uses the Torus Fully Homomorphic Encryption scheme proposed by Chillotti et al. READ MORE
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3. Measurement of sectoral concentration with multiple factors
University essay from Uppsala universitet/Statistiska institutionenAbstract : One of banks core businesses today is to, in various ways, lend capital to the market and in return receive interest rate. But giving out credit comes with great risk and, therefore, precautions need to be taken. It is impossible to forecast exactly which obligor (borrower) that will default on its exposure. READ MORE
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4. Performance of Small- and Large-cap stock portfolios- The importance of market anomalies across business cycles
University essay from Göteborgs universitet/Graduate SchoolAbstract : This Master´s thesis investigated the importance of the market anomalies size (market capitalization), value (Book-to-Market ratio) and momentum (lagged short-term momentum) for equity returns of small- and large-cap composite stock portfolios. The study focused on two contrasting stock markets (NASDAQ OMX and NYSE) across domestic business cycles over the time-period 2006 to 2021. READ MORE
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5. An Empirical Study of Autoencoder Asset Pricing Models and the Impact of Arbitrage Constraints
University essay from Handelshögskolan i Stockholm/Institutionen för finansiell ekonomiAbstract : Following Gu et al. (2021), we implement a state-of-the-art machine learning asset pricing model, the conditional autoencoder, to capture the time-varying interactions between observable stock characteristics and factor loadings, while simultaneously extracting latent factors from stock returns. READ MORE