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Swarm Intelligence Based Hybrid Neural Network Approach for Stock Price Forecasting. (2022). Singh, Uday Pratap ; Jain, Sanjeev ; Kumar, Gourav.
In: Computational Economics.
RePEc:kap:compec:v:60:y:2022:i:3:d:10.1007_s10614-021-10176-9.

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  1. Pioneering Technology Mining Research for New Technology Strategic Planning. (2024). Li, Ziyi ; Yu, Zhaoxu ; Tang, Yixin ; Kang, Xiaoqi ; Zhao, Wenjing ; Zheng, Lingling.
    In: Sustainability.
    RePEc:gam:jsusta:v:16:y:2024:i:15:p:6589-:d:1447857.

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  2. Price, Complexity, and Mathematical Model. (2023). Ding, Xue ; Fu, NA ; Geng, Liyan ; Ma, Junhai.
    In: Mathematics.
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  20. Dynamic and Context-Dependent Stock Price Prediction Using Attention Modules and News Sentiment. (2022). Koenigstein, Nicole.
    In: Papers.
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  21. Temporal-Relational Hypergraph Tri-Attention Networks for Stock Trend Prediction. (2022). Yin, Yilong ; Nie, Xiushan ; Li, Xiaojie ; Wang, Meng ; Du, Juan ; Zhang, Chunyun ; Cui, Chaoran.
    In: Papers.
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  22. Analysis of Romanian Air Quality using Machine Learning Techniques. (2022). Niculae, Andreea-Mihaela.
    In: Database Systems Journal.
    RePEc:aes:dbjour:v:13:y:2022:i:1:p:1-10.

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  23. The Prediction of Gold Futures Prices at the Shanghai Futures Exchange Based on the MEEMD-CS-Elman Model. (2021). Ma, Ying ; Wang, Xiaowen ; Li, Wen.
    In: SAGE Open.
    RePEc:sae:sagope:v:11:y:2021:i:1:p:21582440211001866.

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  24. Accuracies of Model Risks in Finance using Machine Learning. (2021). SADEFO KAMDEM, Jules ; Osei, Salomey ; Fadugba, Jeremiah ; Mpinda, Berthine Nyunga.
    In: Working Papers.
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  25. Using a Genetic Algorithm to Build a Volume Weighted Average Price Model in a Stock Market. (2021). Jeong, Seunghwan ; Oh, Kyong Joo ; Nam, Hyun ; Lee, Hee Soo.
    In: Sustainability.
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  26. Application of Artificial Intelligence in Stock Market Forecasting: A Critique, Review, and Research Agenda. (2021). Sharma, Gagan ; Chopra, Ritika.
    In: JRFM.
    RePEc:gam:jjrfmx:v:14:y:2021:i:11:p:526-:d:672223.

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  27. A Comparative Analysis of the ARIMA and LSTM Predictive Models and Their Effectiveness for Predicting Wind Speed. (2021). Elsaraiti, Meftah ; Merabet, Adel.
    In: Energies.
    RePEc:gam:jeners:v:14:y:2021:i:20:p:6782-:d:658694.

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  28. Climate Finance: Mapping Air Pollution and Finance Market in Time Series. (2021). Fang, Zheng ; Wang, Sheng ; Peng, Ruiming ; Xie, Jian Ying.
    In: Econometrics.
    RePEc:gam:jecnmx:v:9:y:2021:i:4:p:43-:d:694969.

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  29. Study on early warnings of strategic risk during the process of firms’ sustainable innovation based on an optimized genetic BP neural networks model: Evidence from Chinese manufacturing firms. (2021). Duan, Yunlong ; Chin, Tachia ; Fang, Qifeng ; Yang, Meng ; Zhou, LI ; Mu, Chang ; Deng, Zhiqing.
    In: International Journal of Production Economics.
    RePEc:eee:proeco:v:242:y:2021:i:c:s0925527321002693.

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  30. Forecasting stock index price using the CEEMDAN-LSTM model. (2021). Lin, YU ; Liao, Ying ; Yan, Yan ; Xu, Jiali ; Ma, Feng.
    In: The North American Journal of Economics and Finance.
    RePEc:eee:ecofin:v:57:y:2021:i:c:s1062940821000553.

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  31. Design and Analysis of Robust Deep Learning Models for Stock Price Prediction. (2021). Sen, Jaydip ; Mehtab, Sidra.
    In: Papers.
    RePEc:arx:papers:2106.09664.

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  32. The industrial asymmetry of the stock price prediction with investor sentiment: Based on the comparison of predictive effects with SVR. (2020). Liao, Zhewen ; Jin, Zhenni ; Sun, YI ; Lai, Lin ; Guo, Kun.
    In: Journal of Forecasting.
    RePEc:wly:jforec:v:39:y:2020:i:7:p:1166-1178.

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  33. Forecasting Monthly Prices of Gold Using Artificial Neural Network. (2020). Okezie, Uche-Ikonne ; Bright, Oiorha ; Maxwell, Obubu ; Chukwudike, Nwokike ; Henry, Ukomah ; Ala, Ugo.
    In: Journal of Statistical and Econometric Methods.
    RePEc:spt:stecon:v:9:y:2020:i:3:f:9_3_2.

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  34. Predictive power of ARIMA models in forecasting equity returns: a sliding window method. (2020). Guo, Xiaomin ; Hu, Ruizhi ; Dong, Huijian ; Reichgelt, Han.
    In: Journal of Asset Management.
    RePEc:pal:assmgt:v:21:y:2020:i:6:d:10.1057_s41260-020-00184-z.

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  35. Comparing Weighted Markov Chain and Auto-Regressive Integrated Moving Average in the Prediction of Under-5 Mortality Annual Closing Rates in Nigeria. (2020). Obasohan, Phillips Edomwonyi.
    In: International Journal of Statistics and Probability.
    RePEc:ibn:ijspjl:v:9:y:2020:i:3:p:13.

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  36. An R-based forecasting approach for efficient demand response strategies in autonomous micro-grids. (2019). .
    In: Energy & Environment.
    RePEc:sae:engenv:v:30:y:2019:i:1:p:63-80.

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  37. HATS: A Hierarchical Graph Attention Network for Stock Movement Prediction. (2019). Lee, Sang Hoon ; Kim, Raehyun ; Jeong, Minbyul ; Kang, Jaewoo ; Ho, Chan.
    In: Papers.
    RePEc:arx:papers:1908.07999.

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  38. Enhancing Stock Movement Prediction with Adversarial Training. (2019). He, Xiangnan ; Chua, Tat-Seng ; Sun, Maosong ; Ding, JI ; Chen, Huimin ; Feng, Fuli.
    In: Papers.
    RePEc:arx:papers:1810.09936.

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  39. Temporal Relational Ranking for Stock Prediction. (2019). Liu, Yiqun ; Wang, Xiang ; He, Xiangnan ; Chua, Tat-Seng ; Feng, Fuli ; Luo, Cheng.
    In: Papers.
    RePEc:arx:papers:1809.09441.

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  40. Adaptive Market Hypothesis and Artificial Neural Networks: Evidence from Pakistan. (2019). Ayub, Usman ; Kayani, Sehrish ; Jadoon, Imran Abbas.
    In: Global Regional Review.
    RePEc:aaw:grrjrn:v:4:y:2019:i:2:p:190-203.

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  41. A Thick ANN Model for Forecasting Inflation. (2018). Iqbal, Javed ; Hanif, Muhammad ; Mughal, Khurrum S.
    In: SBP Working Paper Series.
    RePEc:sbp:wpaper:99.

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  42. Leveraging Financial News for Stock Trend Prediction with Attention-Based Recurrent Neural Network. (2018). Liu, Huicheng.
    In: Papers.
    RePEc:arx:papers:1811.06173.

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  43. Evaluating the Performance of Inflation Forecasting Models of Pakistan. (2015). Malik, Muhammad Jahanzeb ; Hanif, Muhammad.
    In: SBP Research Bulletin.
    RePEc:sbp:journl:66.

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