Search for dissertations about: "Taras Bodnar"
Showing result 1 - 5 of 7 swedish dissertations containing the words Taras Bodnar.
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1. Modeling Realized Covariance of Asset Returns
Abstract : In this thesis, which consists of two papers, we consider the modeling of positive definitive symmetric matrices, in particular covariance matrices of financial asset returns. The return covariance matrix describes the magnitude in which prices of financial assets tend to change over time, and how price changes between different assets are related. READ MORE
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2. Modeling the covariance matrix of financial asset returns
Abstract : The covariance matrix of asset returns, which describes the fluctuation of asset prices, plays a crucial role in understanding and predicting financial markets and economic systems. In recent years, the concept of realized covariance measures has become a popular way to accurately estimate return covariance matrices using high-frequency data. READ MORE
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3. Statistical Inference of Tangency Portfolio in Small and Large Dimension
Abstract : This thesis considers statistical test theory in portfolio theory. It analyses the asymptotic behavior of the considered tests in the high-dimensional setting, meaning k/n → c ∈ (0, ∞) as n → ∞, where k and n are portfolio size and sample size, respectively. READ MORE
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4. On functions of a Wishart matrix and a normal vector with applications
Abstract : This thesis consists of two papers which take a critical look on functions of an inverse Wishart matrix and a Gaussian vector. In the first paper, the product expression, of which the inverse of the pooled estimator of the covariance matrix is inverse Wishart distributed and the difference of sample means is multivariate normally distributed, is investigated by exploring the distributional properties via a stochastic representation for both the finite sample case and the infinite sample case under the large-dimensional asymptotic regime. READ MORE
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5. Bayesian portfolio selection and risk estimation
Abstract : This thesis concerns portfolio theory from a Bayesian perspective and it includes two papers related to this theme. In the first paper, optimal portfolio weights are derived from a Bayesian perspective to the problem of minimizing the portfolio risk in terms of value at risk (VaR) or conditional value at risk (CVaR) given a certain level of expected return. READ MORE