Essays about: "risk mathematics"
Showing result 1 - 5 of 172 essays containing the words risk mathematics.
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1. The deductibles impact on the risk premium
University essay from Umeå universitet/Institutionen för matematik och matematisk statistikAbstract : The aim of this master thesis is to derive methods that assesses the impact the deductiblehas on the risk premium of an insurance contract. The additive structure of a deductiblenecessitates approaches beyond treating it as a regular covariate in a generalized linearmodel for predicting the risk premium. READ MORE
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2. Robust Portfolio Optimization
University essay from KTH/Skolan för teknikvetenskap (SCI)Abstract : The objective of robust portfolio optimization is to find a way to allocate capital to some financial assets such that portfolio return is maximized in the worst-case scenario, which is desirable for investors with a low tolerance for risk. This study aims to apply the robust approach to asset allocation based on 30 of the biggest stocks on the Stockholm Stock Exchange. READ MORE
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3. Robust Statistical Jump Models with Feature Selection
University essay from Lunds universitet/Matematisk statistikAbstract : A large area in statistics and machine learning is cluster analysis. This field of research concerns the design of algorithms that allow computers to automatically categorize a set of observations into different groups in a reasonable way, without any prior information about which observations belongs to which group. READ MORE
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4. Analysing the Optimal Fund Selection and Allocation Structure of a Fund of Funds
University essay from KTH/Matematik (Avd.)Abstract : This thesis aims to investigate different types of optimization methods that can be used when optimizing fund of fund portfolios. Moreover, the thesis investigates which funds that should be included and what their respective portfolio weights should be, in order to outperform the Swedish SIX Portfolio Return Index. READ MORE
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5. Evaluating the Effect of Meta-Labeling on Equity Market Neutral Strategy
University essay from Lunds universitet/Statistiska institutionenAbstract : This thesis aims to construct an Equity Market Neutral (EMN) strategy framework to predict intraday excess returns of stocks within the S&P 500 index by utilizing machine learning techniques proposed by (López de Prado, 2018). The constructed EMN strategies within the framework utilizes techniques such as Stacked Single Feature Importance (SSFI), sample weighting, Probabilistic Sharpe Ratio (PSR), and meta-labeling. READ MORE