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1. International evidence on the financial performance of biodiversity investing NSTL国家科技图书文献中心

Francesco Paolo Appi... |  Mohammed Benlemlih... -  《Journal of Environmental Management》 - 2025,377(Mar.) - 124640.1~124640.13 - 共13页

摘要: performance of 10 biodiversity stock indices in contrast to |  have recently developed equity indices that track the |  their parent indices from 2022 to 2024. Our findings | The biodiversity depletion caused by human |  activities stands out prominently. Companies are urged to
关键词: Biodiversity |  Climate change |  Stock indices |  Financial performance |  Green finance

2. Are machine learning models effective in predicting emerging markets? Investigating the accuracy of predictions in emerging stock market indices NSTL国家科技图书文献中心

Namitha,Yeldho |  Dany,Thomas... -  《Quality & Quantity》 - 2025,59(1) - 839~904 - 共66页

摘要: market indices. We investigated the stock prediction | Abstract The Indian stock market is an | ) models using Python programming in the emerging stock |  market indices like NIFTY 50 and NIFTY 100. A recurrent |  employed to predict the stock price movements using data
关键词: Stock prediction |  Machine learning |  Deep learning |  Emerging market |  Bidirectional Long short-term memory |  BiLSTM

3. Climate risk and the nexus of clean energy and technology stocks NSTL国家科技图书文献中心

Elie Bouri |  Tom L. Dudda... -  《Annals of operations research》 - 2025,347(1) - 445~469 - 共25页

摘要: energy and technology stock indices, whereas the effect |  sample periods and alternative stock indices. On the | We examine the impact of climate risks on the |  nexus of clean energy and technology stocks using a |  time-varying correlation model. We find that physical
关键词: Climate risk |  Clean energy |  Technology stocks |  Energy transition

4. Assessing the Financial Impact of Natural Disasters on Global Stock Markets: Evidence from the Five Large Economies NSTL国家科技图书文献中心

Paravee Maneejuk |  Yanagorn Panyagad... -  《Integrated Uncertainty in Knowledge Modelling and Decision Making,Part II》 -  International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making - 2025, - 234~242 - 共9页

摘要:, on the stock indices of the world's five large |  average decrease of 0.0745% in stock indices. In |  stock markets: the United States, China, Japan |  from 2004 to 2022 across major indices, including the |  significantly negatively affect stock markets, leading to an
关键词: Large stock markets |  Natural disasters |  Prais-Winsten regression |  Stock markets

5. An intelligent framework based on optimized variational mode decomposition and temporal convolutional network: Applications to stock index multi-step forecasting NSTL国家科技图书文献中心

Yuanyuan Yu |  Dongsheng Dai... -  《Expert Systems with Application》 - 2025,268(Apr.) - 126222.1~126222.27 - 共27页

摘要: significant characteristics of stock indices such as high |  stock indices has become a challenging task, thus |  multi-scale features of stock indices and accurately | The stock market is often subjected to |  daily closing prices of the Shanghai Stock Exchange
关键词: Stock index multi-step forecasting |  Genetic algorithm |  Variational mode decomposition |  Temporal convolutional network

6. Aboveground biomass estimation in a grassland ecosystem using Sentinel‑2 satellite imagery and machine learning algorithms NSTL国家科技图书文献中心

Andisani Netsianda |  Paidamwoyo Mhangara -  《Environmental Monitoring and Assessment》 - 2025,197(2) - 138.1~138.16 - 共16页

摘要: expands the carbon stock in terrestrial ecosystems |  between Sentinel-2-derived vegetation indices and | The grassland ecosystem forms a critical part |  of the natural ecosystem, covering up to 15-26% of |  the Earths land surface. Grassland significantly
关键词: Carbon stock |  Leaf area index |  Vegetation indices |  Carbon cycle |  Carbon sink

7. Machine learning vs deep learning in stock market investment: an international evidence NSTL国家科技图书文献中心

Jing Hao |  Feng He... -  《Annals of operations research》 - 2025,348(1) - 93~115 - 共23页

摘要: stock indices constituting stocks in these markets |  forecast stock prices and construct statistical arbitrage |  strategies in five stock markets, including mainland China |  Chinese stock market. We find that DNN models generally | Machine learning and deep learning are
关键词: Machine learning |  Deep learning |  Quantitative investment |  Arbitrage

8. The dynamic connectedness between oil price shocks and emerging market economies stock markets: Evidence from new approaches NSTL国家科技图书文献中心

Tiwari A.K. |  Dam M.M.... -  《Energy economics》 - 2025,141(Jan.) - 1.1~1.31 - 共31页 - 被引量:1

摘要: stock market indices of Brazil, Argentina and Mexico |  correlation in all stock indices, especially in the weekly |  risk shocks that Ready (2018) developed and the stock |  considerable degree of dynamic connectedness among the stock |  stock markets of Brazil, Mexico, and Argentina have
关键词: Dynamic connectedness |  Emerging market economies |  Oil price shocks |  Spillover |  TVP-VAR |  Wavelet quantile correlation

9. Enhancing stock market predictions using hybrid machine learning approach with XGBOOST-LSTM and XGBOOST-GRU models NSTL国家科技图书文献中心

Manoranjan Dash |  Christo Aditya Bikra...... -  《International Journal of Applied Systemic Studies》 - 2025,12(1) - 73~87 - 共15页

摘要: the performance of stock indices remain a challenge | . Also, the stock market periodically faces some of the |  explore the hidden variations in stock index movements |  stock market forecast. It utilises XGBOOST to select | In the ever uncertain and volatile global
关键词: Deep learning |  DL |  COVID-19 |  Machine learning |  ML |  Hybrid model |  Stock market

10. Leveraging large language models to examine the interaction between investor sentiment and stock performance NSTL国家科技图书文献中心

Yong Zhuang |  Feilong Wang... -  《Engineering Applications of Artificial Intelligence》 - 2025,150(Jun.) - 110602.1~110602.12 - 共12页

摘要: single stock indices, overlooking the impact of brand |  investor sentiment and stock performance is crucial in |  focus on financial news and stock prices, while |  investor sentiment and stock performance, using Chinese |  text data from stock forums. By employing in-context
关键词: Large language model |  Sentiment analysis |  Investor sentiment indicator |  Vector autoregression model
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