Essays about: "intraday trading"
Showing result 1 - 5 of 29 essays containing the words intraday trading.
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1. The Impact of Share Repurchases on Stock Liquidity During Market Distress
University essay from Göteborgs universitet/Graduate SchoolAbstract : Since stock repurchases were first introduced in the late 1960 its growth has been significant. This has led to increasing interest among researchers regarding the motives behind them and their post-effects. While stock repurchase research is extensive, the focus on the effect of stock repurchases on liquidity is limited. READ MORE
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2. Do you want to swap? A study of the liquidity risk in the SEK interest rate swap market
University essay from Göteborgs universitet/Graduate SchoolAbstract : Interest rate swaps are one of the world’s most essential interest rate derivatives. It is therefore important to understand the pricing of these agreements, and how the market is functioning. READ MORE
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3. Dynamic modelling of electricity arbitrage for single-family homes : Assessing the cost-effectiveness of implementing Energy Storage and Demand-Side Load Management.
University essay from Linnéuniversitetet/Institutionen för byggd miljö och energiteknik (BET)Abstract : In the context of electricity, arbitrage trading involves taking advantage of existing price variations within electricity markets. The report conducted financial modelling for energy storage systems and demand-side load management for electricity arbitrage trading in single-family homes. READ MORE
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4. Study on feasibility of small-scale pumped hydro storage- A case study in Sweden
University essay from Lunds universitet/Institutionen för energivetenskaperAbstract : The European union has been aggressively pushing forward with policies favoring renewable sources of energy. As a result, the share of intermittent renewables in the European power grid is rising and is expected to grow even more in the coming decade. The Swedish energy agency also forecast huge growth in wind power. READ MORE
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5. LSTM-based Directional Stock Price Forecasting for Intraday Quantitative Trading
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Deep learning techniques have exhibited remarkable capabilities in capturing nonlinear patterns and dependencies in time series data. Therefore, this study investigates the application of the Long-Short-Term-Memory (LSTM) algorithm for stock price prediction in intraday quantitative trading using Swedish stocks in the OMXS30 index from February 28, 2013, to March 1, 2023. READ MORE