Essays about: "Volatility forecast"
Showing result 11 - 15 of 88 essays containing the words Volatility forecast.
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11. Symmetry or Asymmetry: A model comparison between different ARCH-class volatility models using Bitcoin returns
University essay from Lunds universitet/Nationalekonomiska institutionenAbstract : This thesis will in turn evaluate the forecast performance of different ARCH-type models' forecast ability using Bitcoin returns from 01-04-2015 to 01-04-2022. More specifically, it is of interest to see if a simple GARCH(1,1) model can outperform more sophisticated models that incorporate the asymmetry in volatility. READ MORE
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12. Comparison of Indirect Inference and the Two Stage Approach
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Parametric models are used to understand dynamical systems and predict its future behavior. It is difficult to estimate the model’s parametric values since there are usually many parameters and they are highly correlated. READ MORE
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13. Is it possible to forecast which firms will be shorted? : Evidence from S&P 500
University essay from Linnéuniversitetet/Institutionen för ekonomistyrning och logistik (ELO)Abstract : This thesis aims to examine whether it is possible to forecast which firmswill be shorted. To do this a regression was constructed using a sample of thecompanies currently included in S&P 500. READ MORE
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14. 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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15. Volatility Timing using Machine Learning - An Application to a Signal Based Portfolio
University essay from Lunds universitet/Nationalekonomiska institutionenAbstract : Recent events such as the covid-19 pandemic and the Russian-Ukrainian war have led to a tremendous increase in volatility, making financial markets riskier for investors. To see whether investors can counteract or profit from such risk, we develop a volatility timed trading strategy. READ MORE