Essays about: "portfolio optimization var"

Showing result 1 - 5 of 14 essays containing the words portfolio optimization var.

  1. 1. Copula Modelling of High-Dimensional Longitudinal Binary Response Data

    University essay from KTH/Matematik (Avd.)

    Author : Nils Henningsson; [2022]
    Keywords : Copula; latent model; variational inference; Copula; latent modell; variational inference;

    Abstract : This thesis treats the modelling of a high-dimensional data set of longitudinal binary responses. The data consists of default indicators from different nations around the world as well as some explanatory variables such as exposure to underlying assets. READ MORE

  3. 2. Decomposition of ETFs: Building a synthetic portfolio of ETFs major positions

    University essay from Lunds universitet/Nationalekonomiska institutionen

    Author : Donatas Gadlijauskas; Evelina Sarul; [2022]
    Keywords : ETF; Portfolio optimization; Sharpe ratio; VaR; GARCH; Business and Economics;

    Abstract : This paper investigates the performance of benchmark indices and according ETFs against the synthetic portfolios that were built using the five major holdings of the selected benchmark index and its ETF. Not only do we test the synthetic portfolios, but from them, we make optimal (re-balanced) portfolios using mean-variance optimization (with short-selling constraints). READ MORE

  4. 3. A Neural Network Approach for Generating Investors’ Views in the Black-Litterman Model

    University essay from KTH/Matematik (Avd.)

    Author : Rafael Lavatt; [2022]
    Keywords : Black-Litterman; Neural Networks; Portfolio Optimization; Black-Litterman; Neurala nätverk; portföljoptimering;

    Abstract : This thesis investigates how neural networks can be used to produce investors' views for the Black-Litterman market model. The study uses two data sets, one with global stock market indexes and one with stock market data from the S&P 500. READ MORE

  5. 4. Portfolio Performance Optimization Using Multivariate Time Series Volatilities Processed With Deep Layering LSTM Neurons and Markowitz

    University essay from KTH/Matematisk statistik

    Author : Aron Andersson; Shabnam Mirkhani; [2020]
    Keywords : Recurrent Neural network RNN ; long short-term memory LSTM ; portfolio optimization; markowitz; exponential moving average; sharpe ratio; heteroskedasticity; Markowitz;

    Abstract : The stock market is a non-linear field, but many of the best-known portfolio optimization algorithms are based on linear models. In recent years, the rapid development of machine learning has produced flexible models capable of complex pattern recognition. READ MORE

  6. 5. Portfolio Optimization using the Entropic Value-at-Risk: An Investor Preference Approach

    University essay from Lunds universitet/Nationalekonomiska institutionen

    Author : Kevin Fabian Kühn; Polina Kuznetsova; [2020]
    Keywords : Mean-variance framework; entropic value-at-risk; utility functions; risk preference; portfolio optimization; Business and Economics;

    Abstract : It is very important for an investor to choose an accurate and effective risk measure when optimizing a portfolio of different assets. Recently, in addition to the standard risk measures such as variance or Value-at-Risk (VaR), more developed risk measures have emerged and one of them is the entropic Value-at-Risk (EVaR). READ MORE