Sökning: "Trading strategy"
Visar resultat 6 - 10 av 306 uppsatser innehållade orden Trading strategy.
6. Leveling the Playing Field: Can Private Investors Benefit From Mimicking Insider Trades? A quantitative study of insider trading
Master-uppsats, Göteborgs universitet/Graduate SchoolSammanfattning : Historically, investors have been searching for strategies to maximize performance in the stock market. It has been shown that corporate insiders can earn abnormal returns by trading in their own companies as they possess superior information and, to a certain degree, market timing ability. LÄS MER
7. Testing the Adaptive Market Hypothesis on the Swedish Stock Market - Empirical evidence between 1990-2019
Kandidat-uppsats,Sammanfattning : This study examines if the adaptive market hypothesis holds for the Swedish stock market between 1990 and 2019. We use Affärsvärldens Generalindex and test for time-varying return predictability by implementing a variance ratio test and an autocorrelation test. To track how market efficiency evolves over time we use a two-year moving subsample. LÄS MER
8. Optimal Order Placement Using Markov Models of Limit Order Books
Master-uppsats, KTH/Matematik (Avd.)Sammanfattning : We study optimal order placement in a limit order book. By modelling the limit order book dynamics as a Markov chain, we can frame the purchase of a single share as a Markov Decision Process. Within the framework of the model, we can estimate optimal decision policies numerically. The trade rate is varied using a running cost control variable. LÄS MER
9. A Markovian Approach to Financial Market Forecasting
Kandidat-uppsats, KTH/Matematisk statistikSammanfattning : This thesis aims to investigate the feasibility of using a Markovian approach toforecast short-term stock market movements. To assist traders in making soundtrading decisions, this study proposes a Markovian model using a selection ofthe latest closing prices. LÄS MER
10. Predicting the Movement of the S&P 500 Index using Machine Learning
Magister-uppsats, Lunds universitet/Nationalekonomiska institutionen; Lunds universitet/Statistiska institutionenSammanfattning : Predicting the stock market has been a longstanding topic of interest in financial research. It is regarded as a highly challenging but important task given the vital role the financial markets play in shaping the global economies. In this thesis, the goal is to predict the movement of the S&P 500 Index using machine learning methods. LÄS MER