Stock Markets and their informational inefficiencies - the BSE case [PDF]
The paper deals with the issue of stock market informational inefficiency differentiating between the main signals which indicate inefficiency manifestation within these markets.
Adrian ZOICAS-IENCIU, Ioan TRENCA
core
Complementarity of Long‐Reads and Optical Mapping in Parkinson's Disease for Structural Variants
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Long‐read sequencing and optical genome mapping technologies have the ability to detect large and complex structural variants. This has led to the discovery of novel pathogenic variants in neurodegenerative movement disorders. Thus, we aimed to systematically compare the SV detection capabilities of OGM and ONT in Parkinson's disease.
André Fienemann +17 more
wiley +1 more source
The volatility mechanism and intelligent fusion forecast of new energy stock prices
Financial InnovationThe new energy industry is strongly supported by the state, and accurate forecasting of stock price can lead to better understanding of its development. However, factors such as cost and ease of use of new energy, as well as economic situation and policy
Guo-Feng Fan +5 more
doaj +1 more source
Implementasi CNN-BiLSTM untuk Prediksi Harga Saham Bank Syariah di Indonesia
Jambura Journal of MathematicsStock price forecasting plays a crucial role in stock investment. Accuracy in predicting stock prices can provide significant financial benefits and help reduce investment risks.
Mushliha Mushliha
doaj +1 more source
Comparison of intelligence accuracy of data mining algorithms to estimate stocks prices [PDF]
راهبرد مدیریت مالیForecasting the stock price due to its attractiveness has always been on the focus of experts and capital market activists. In such a way that various prediction models such as technical and fundamental analysis and data mining are increasingly used to ...
Hossein Kianizadeh +2 more
doaj +1 more source
Prediksi Harga Saham PT. Bri, Tbk. Menggunakan Metode Arima (Autoregressive Integrated Moving Average) [PDF]
, 2014 PREDIKSI HARGA SAHAM PT. BRI, Tbk. MENGGUNAKAN METODE ARIMA (Autoregressive Integrated Moving Average) Greis S. Lilipaly1) , Djoni Hatidja1) , John S.
Hatidja, D. (Djoni) +2 more
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Cognitive Behavioral Therapy for Youth with Childhood‐Onset Lupus: A Randomized Clinical Trial
Arthritis Care &Research, Accepted Article.Objective Our objective was to determine the feasibility and acceptability of the Treatment and Education Approach for Childhood‐onset Lupus (TEACH), a six‐session cognitive behavioral intervention addressing depressive, fatigue, and pain symptoms, delivered remotely to individual youth with lupus by a trained interventionist.
Natoshia R. Cunningham +29 more
wiley +1 more source
IEEE AccessStock price series are highly volatile and non-stationary, making it difficult to predict future movements. Deep learning technology has provided new ways to predict stock prices.
Wei Wang, Bo Li
doaj +1 more source
ARIMA with Attention-based CNN-LSTM and XGBoost hybrid model for stock prediction in the US stock market [PDF]
SHS Web of ConferencesAbsteact: Stock price forecasting is considered one of the most difficult tasks in financial forecasting. Combining ARIMA with neural networks helps to enhance the model’s predictive capabilities when dealing with complex, nonlinear time series data ...
Liang Luocheng
doaj +1 more source
Reevaluating the Activity of ZIF‐8 Based FeNCs for Electrochemical Ammonia Production
Advanced Functional Materials, EarlyView.Though receiving much attention, the field of electrochemical nitrogen reduction reaction (eNRR) to ammonia is marked by doubts about whether this reaction is possible in aqueous media. This work sheds light on this question for iron single‐atom on N‐doped carbon (FeNC) catalysts—a class of well‐known catalysts that is also worth testing for the sister
Caroline Schneider +6 more
wiley +1 more source