Essays about: "Syntetiska tidsserier"
Showing result 1 - 5 of 8 essays containing the words Syntetiska tidsserier.
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1. An empirical study of the impact of data dimensionality on the performance of change point detection algorithms
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : When a system is monitored over time, changes can be discovered in the time series of monitored variables. Change Point Detection (CPD) aims at finding the time point where a change occurs in the monitored system. READ MORE
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2. 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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3. Viability Evaluation of the Turtle Trading Rules on Major Market Indexes
University essay from KTH/Matematik (Avd.)Abstract : The Turtle Trading Rules was a successful trend-following trading strategy for commodities in the 1980s but has lost recognition in recent days. The strategy revolved around rules for entering and exiting trades as well as position sizing for each trade. READ MORE
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4. Time-series Generative Adversarial Networks for Telecommunications Data Augmentation
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Time- series Generative Adversarial Networks (TimeGAN) is proposed to overcome the GAN model’s insufficiency in producing synthetic samples that inherit the predictive ability of the original timeseries data. TimeGAN combines the unsupervised adversarial loss in the GAN framework with a supervised loss adopted from an autoregressive model. READ MORE
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5. Unsupervised Anomaly Detection on Time Series Data: An Implementation on Electricity Consumption Series
University essay from KTH/Matematisk statistikAbstract : Digitization of the energy industry, introduction of smart grids and increasing regulation of electricity consumption metering have resulted in vast amounts of electricity data. This data presents a unique opportunity to understand the electricity usage and to make it more efficient, reducing electricity consumption and carbon emissions. READ MORE
