Stock Price Prediction an Intelligent ApproachNikumbh, AniketVijaykumar, SuhasiniBVIMSR Journal of Management Research
Partisan Trading in an Election Prediction Market: A Report on the 2012 Presidential Election Stock Market 来自 ResearchGate 喜欢 0 阅读量: 11 作者:N Cho,WH Park,KS Han,TK Ahn DOI: 10.35656/JKP.25.3.8 年份: 2016 收藏 引用 批量引用 报错 分享 ...
Chapter 4 Stock Market Prediction from Sectoral Indices using an Adaptive Network Based Fuzzy Inference System Chapter 4 Stock Market Prediction from Sectoral Indices using an Adaptive Network Based Fuzzy Inference SystemThe effect of different variables on the stock ... 被引量: 0发表: 2018年 ...
Stock market predictiontechnical indicatorcandlesticks patternsartificial neural networksblind source separationmulti-core architectureconcurrencyThis paper presents an efficient system for accurate, confident, general and responsive stock market prediction, employing Artificial Neural Networks (ANN). For technical ...
In some jurisdictions, ownership of the reseeded stock does not remain with the reseeding company. This issue makes the process commercially unattractive. In other regions (e.g., Australia), contracts can be negotiated whereby the company undertaking the reseeding can have certain entitlements over...
(1994), a market maker sets an asking price and a bid price at which she buys and sells for her own account. Examples include specialists in the stock market and dealers in the used-car market. In contrast, match makers create meetings between the buyers and the sellers rather than ...
Wide coverage: FinBen integrates classic NLP tasks (text analysis, knowledge extraction, question answering) with finance-specific challenges (numeric labeling) and innovates by assessing LLMs on real-world financial applications (stock prediction, credit scoring) and for the first time directly assess...
Because of the complexity, nonlinearity, and volatility, stock market forecasting is either highly difficult or yields very unsatisfactory outcomes when utilizing traditional time series or machine learning techniques. To cope with this problem and improve the complex stock market’s prediction accuracy, ...
A novel interval dual convolutional neural network method for interval-valued stock price prediction 2024, Pattern Recognition Citation Excerpt : Hajek et al. [10] proposed an intuitionistic fuzzy grey cognitive map (IFGCM) method for estimating potential interval-valued return of investment. Buansing...
An event study typically tries to examine return behavior for a sample of firms experiencing a common type of event (e.g., a stock split). The event might take place at different points in calendar time or it might be clustered at a particular date (e.g., a regulatory event affecting ...