Sökning: "Noise trading"
Visar resultat 1 - 5 av 20 uppsatser innehållade orden Noise trading.
1. Tackling Non-Stationarity in Reinforcement Learning via Latent Representation : An application to Intraday Foreign Exchange Trading
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Reinforcement Learning has applications in various domains, but the typical assumption is of a stationary process. Hence, when this hypothesis does not hold, performance may be sub-optimal. LÄS MER
2. Not Just Noise: An Empirical Study of Irrational Noise Trading and its Role in Financial Markets
D-uppsats, Handelshögskolan i Stockholm/Institutionen för finansiell ekonomiSammanfattning : This paper explores the role of irrational 'noise' traders in financial markets. Theory suggests that a lower share of irrational or uninformed trading in the market should lead to higher adverse selection costs, and that irrational trading should be more susceptible to exogenous, non-economic events that capture traders' time and attention. LÄS MER
3. Influencers kurspåverkan genom en social handelsplattform : En eventstudie på Shareville
Kandidat-uppsats, Uppsala universitet/Företagsekonomiska institutionenSammanfattning : Sociala medier har blivit snabbt växande plattformar där människor kan diskutera, dela och inte minst erhålla information om aktuella ämnen. Framgången för sociala medier är ett tydligt tecken på människors växande intresse för åsiktsutbyte. LÄS MER
4. Viability Evaluation of the Turtle Trading Rules on Major Market Indexes
Master-uppsats, KTH/Matematik (Avd.)Sammanfattning : 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. LÄS MER
5. Singular Value Decomposition as a Method for Analyses and Forecasts of Financial Data
Kandidat-uppsats, Lunds universitet/Nationalekonomiska institutionenSammanfattning : This paper examines the sufficiency of a trading method based on singular value decomposition (SVD) of past stock prices. The SVD method is frequently used as a tool to reduce data noise, compress big-data, and analyse data components. Hence, the method is well suited to form a ground for a predictive tool of price developments. LÄS MER