Search for dissertations about: "financial time series analysis"
Showing result 1 - 5 of 29 swedish dissertations containing the words financial time series analysis.
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1. Essays on Time Series Analysis : With Applications to Financial Econometrics
Abstract : This doctoral thesis is comprised of four papers that all relate to the subject of Time Series Analysis.The first paper of the thesis considers point estimation in a nonnegative, hence non-Gaussian, AR(1) model. The parameter estimation is carried out using a type of extreme value estimators (EVEs). READ MORE
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2. Scalable Streaming Graph and Time Series Analysis Using Partitioning and Machine Learning
Abstract : Recent years have witnessed a massive increase in the amount of data generated by the Internet of Things (IoT) and social media. Processing huge amounts of this data poses non-trivial challenges in terms of the hardware and performance requirements of modern-day applications. READ MORE
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3. Essays on Financial Markets
Abstract : This thesis consists of five empirical essays dealing with different issues related to financial markets. Chapter 2 studies a new multivariate technique, Orthogonal GARCH, of forecasting large covariance matrices based on GARCH models. READ MORE
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4. Some Contributions to Heteroscedastic Time Series Analysis and Computational Aspects of Bayesian VARs
Abstract : Time-dependent volatility clustering (or heteroscedasticity) in macroeconomic and financial time series has been analyzed for more than half a century. The inefficiencies it causes in various inference procedures are well known and understood. Despite this, heteroscedasticity is surprisingly often neglected in practical work. READ MORE
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5. Financial Choice and Public Policy
Abstract : Costly reversals of bad policies: the case of the mortgage interest deductionThis paper measures the welfare effects of removing the mortgage interest deduction under a variety of implementation scenarios. To this end, we build a life-cycle model with heterogeneous households calibrated to the U.S. READ MORE