Sökning: "intraday"
Visar resultat 1 - 5 av 67 uppsatser innehållade ordet intraday.
1. The Impact of Share Repurchases on Stock Liquidity During Market Distress
Master-uppsats, Göteborgs universitet/Graduate SchoolSammanfattning : 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. LÄS MER
2. Do you want to swap? A study of the liquidity risk in the SEK interest rate swap market
Master-uppsats, Göteborgs universitet/Graduate SchoolSammanfattning : 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. LÄS MER
3. Forecasting Volatility of Electricity Intraday Log Returns with Generalized Autoregressive Score Models
Master-uppsats, Göteborgs universitet/Graduate SchoolSammanfattning : We forecast volatility of electricity intraday log returns with Generalized Autoregressive Score (GAS) models. We extend our GAS models with variables representing the difference between the public’s expectation of weather and energy load and the actual outcome using a restricted ARMA(4,4) model. LÄS MER
4. Dynamic modelling of electricity arbitrage for single-family homes : Assessing the cost-effectiveness of implementing Energy Storage and Demand-Side Load Management.
Kandidat-uppsats, Linnéuniversitetet/Institutionen för byggd miljö och energiteknik (BET)Sammanfattning : 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. LÄS MER
5. Evaluating the Effect of Meta-Labeling on Equity Market Neutral Strategy
Kandidat-uppsats, Lunds universitet/Statistiska institutionenSammanfattning : This thesis aims to construct an Equity Market Neutral (EMN) strategy framework to predict intraday excess returns of stocks within the S&P 500 index by utilizing machine learning techniques proposed by (López de Prado, 2018). The constructed EMN strategies within the framework utilizes techniques such as Stacked Single Feature Importance (SSFI), sample weighting, Probabilistic Sharpe Ratio (PSR), and meta-labeling. LÄS MER