Essays about: "Multivariate Financial Time Series"
Showing result 1 - 5 of 11 essays containing the words Multivariate Financial Time Series.
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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. Forecasting checking account balance : Using supervised machine learning
University essay from Uppsala universitet/Avdelningen för systemteknikAbstract : The introduction of open banking has made it possible for companies to build the next generation of applications based on transactional data. Enabling economic forecasts which private individuals can use to make responsible financial decisions. This project investigated forecasting account balances using supervised learning. READ MORE
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3. Multivariate Short-term Electricity Load Forecasting with Deep Learning and exogenous covariates
University essay from Umeå universitet/Institutionen för tillämpad fysik och elektronikAbstract : Maintaining the electricity balance between supply and demand is a challenge for electricity suppliers. If there is an under or overproduction, it entails financial costs and affects consumers and the climate. To better understand how to maintain the balance, can the suppliers use short-term forecasts of electricity load. READ MORE
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4. Scenario Creation for Stress Testing Using Copula Transformation
University essay from Umeå universitet/Institutionen för fysikAbstract : Due to turbulence in the financial market throughout history, stress testing has become a growing part of the risk analysis performed by clearing houses. Events connected to previous crises have increased the demand for prudent risk exposure, and in this thesis we investigate regulators view on how CCPs should construct risk scenarios to meet best practice for stress testing their members’ composite portfolios. READ MORE
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5. LSTM Neural Network Models for Market Movement Prediction
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Interpreting time varying phenomena is a key challenge in the capital markets. Time series analysis using autoregressive methods has been carried out over the last couple of decades, often with reassuring results. READ MORE
