Essays about: "stokastiska processer"
Showing result 1 - 5 of 16 essays containing the words stokastiska processer.
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1. Risk Assessment of International Mixed Asset Portfolio with Vine Copulas
University essay from Linköpings universitet/Tillämpad matematik; Linköpings universitet/Tekniska fakultetenAbstract : This thesis gives an example of assessing the risk of a financial portfolio with international assets, where the assets may be of different classes, by the use of Monte Carlo simulation and Extreme Value Theory. The simulation uses univariate modelling, models of the assets’ returns as stochastic processes, as well as vine copulas to create dependency between the variables. READ MORE
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2. HR options and their valuation – a case study
University essay from KTH/Fastighetsekonomi och finansAbstract : This thesis introduces and discusses the notion that real options theory can be applied to investment decisions when the value lies in human capital. This approach contributes in circumventing traditional problems which arise during valuation of intangible assets. READ MORE
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3. Financial Modelling Using Fractional Processes And The Wiener Chaos Expansion
University essay from KTH/Matematik (Avd.)Abstract : The aim of this thesis is to simulate stochastic models that are driven by a fractional Brownian motion process and to apply these methods to financial applications related to yield rate and asset price modelling. Several rough volatility processes are used to model the asset price and yield dynamics. READ MORE
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4. Approximating Quasistationary Distributions Using Deep Learning
University essay from KTH/Matematisk statistikAbstract : We study a class of It\={o} diffusion processes on domains with smooth boundary, at which the process is killed. Such a process, when conditioned on non-extinction, gives rise to a stationary state known as a \emph{quasistationary distribution} (QSD). READ MORE
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5. Approximation of General Semi-Markov Models Using Expolynomials
University essay from KTH/Matematisk statistikAbstract : Safety analysis is critical when developing new engineering systems. Many systems have to function under randomly occurring events, making stochastic processes useful in a safety modelling context. However, a general stochastic process is very challenging to analyse mathematically. READ MORE