Essays about: "Multivariate Volatility Models"
Showing result 1 - 5 of 16 essays containing the words Multivariate Volatility Models.
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1. Time Dependencies Between Equity Options Implied Volatility Surfaces and Stock Loans, A Forecast Analysis with Recurrent Neural Networks and Multivariate Time Series
University essay from KTH/Matematik (Avd.)Abstract : Synthetic short positions constructed by equity options and stock loan short sells are linked by arbitrage. This thesis analyses the link by considering the implied volatility surface (IVS) at 80%, 100%, and 120% moneyness, and stock loan variables such as benchmark rate (rt), utilization, short interest, and transaction trends to inspect time-dependent structures between the two assets. READ MORE
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2. On the Value at Risk Forecasting of the Market Risk for Large Portfolios based on Dynamic Factor Models with Multivariate GARCH Specifications
University essay from Uppsala universitet/Statistiska institutionenAbstract : Market risk is the risk of capital loss due to unexpected changes in market prices. One risk measure used to estimate market risk is Value at Risk (VaR). The common historical simulation methodology of VaR forecasting usually does not capture the time-varying volatilities associated with financial data. READ MORE
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3. GARCH and GAS: Comparison of volatility models for Bitcoin in different exchanges
University essay from Göteborgs universitet/Graduate SchoolAbstract : Different characteristics of cryptocurrencies have been investigated by a number of studies. In this study, I focus on conditional volatility of Bitcoin in three exchanges which are Coinbase, Bitfinex and Bitstamp. READ MORE
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4. Sustainable Bonds and Beyond: A Sustainable Alternative for Portfolio Diversification : An empirical study of sustainable bonds and existing asset classes from a volatility and correlation perspective in Sweden
University essay from Umeå universitet/Företagsekonomi; Umeå universitet/FöretagsekonomiAbstract : Increasing awareness of sustainable issues is just one of the ways how modern society has evolved. Due to the growing challenges faced by climate change and societal issues, our world has grown to be more innovative in the fight and support towards initiatives that will contribute to the long-term of the world we live in. READ MORE
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5. Portfolio Performance Optimization Using Multivariate Time Series Volatilities Processed With Deep Layering LSTM Neurons and Markowitz
University essay from KTH/Matematisk statistikAbstract : 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
