Search for dissertations about: "financial modeling"
Showing result 1 - 5 of 72 swedish dissertations containing the words financial modeling.
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1. Modeling financial volatility : A functional approach with applications to Swedish limit order book data
Abstract : This thesis is designed to offer an approach to modeling volatility in the Swedish limit order market. Realized quadratic variation is used as an estimator of the integrated variance, which is a measure of the variability of a stochastic process in continuous time. READ MORE
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2. Empirical Studies on Economic and Financial Spillovers : Asymmetric Risk and Dependence Modeling
Abstract : Financial assets are volatile, and volatility becomes more intense in terms of size and rate of recurrence when markets are uncertain and growing rapidly. The fact that the recurrence rate increased during crisis periods, such as the IT bubble in the early 2000 and the global financial crisis that started in 2007, is a key finding in the literature. READ MORE
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3. Learning-by-modeling : Novel Computational Approaches for Exploring the Dynamics of Learning and Self-governance in Social-ecological Systems
Abstract : As a consequence of global environmental change, sustainable management and governance of natural resources face critical challenges, such as dealing with non-linear dynamics, increased resource variability, and uncertainty. This thesis seeks to address some of these challenges by using simulation models. READ MORE
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4. Financial Volatility and Time-Varying Risk Premia
Abstract : This thesis consists of four empirical essays, all dealing with return volatility of financial assets and/or time-varying risk premia. In the first essay, Changing Risk Premia: Evidence from a Small Open Economy, the relation between risk and return is investigated for Swedish stocks. READ MORE
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5. Essays on Gaussian Probability Laws with Stochastic Means and Variances : With Applications to Financial Economics
Abstract : This work consists of four articles concerning Gaussian probability laws with stochastic means and variances. The first paper introduces a new way of approximating the probability distribution of a function of random variables. This is done with a Gaussian probability law with stochastic mean and variance. READ MORE