NSTL国家科技图书文献中心

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. 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

4. 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

5. 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

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

6. 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

7. The contagion effect of artificial intelligence across innovative industries: From blockchain and metaverse to cleantech and beyond NSTL国家科技图书文献中心

Naeem M.A. | Arfaoui N.... - 《Technological forecasting and social change》 - 2025,210(Jan.) - 1.1～1.18 - 共18页

摘要：, 2023, encompassing 12 stock* indices representing each* | © 2024 The Author(s)Artificial Intelligence | (AI) stands as a transformative force across | business, technology, and science, yet its comprehensive | impact on innovative industries remains relatively

关键词： Artificial intelligence | CAViaR | Cryptocurrency | Metaverse | TVP-VAR

8. Scaling laws of multi-scale coherence and multifractal analysis in the stock market NSTL国家科技图书文献中心

Li, Xuebo | Hu, Xin ... - 《International Journal of Modern Physics,C.Physics and Computers》 - 2025,36(1) - 共13页

摘要： suggest that stock* market indices display behavior akin* | reveals the temporal shift between two indices | across indices* from various countries. Our findings* | . Our results suggest that the fluctuations of indices | In this study, we utilize the coherence

关键词： Multi-scale coherence | multifractal analysis | stock market

9. Comparative analysis of distance measures in stock network construction and cluster analysis NSTL国家科技图书文献中心

Serkan Alkan - 《International journal of data mining,modelling and management》 - 2025,17(1) - 75～102 - 共28页

摘要： cluster analysis and stock* network construction. This* | -fitting indices* for determining network adjacencies is* | stock networks are compared using the minimum spanning | internal cluster validity indices and external indices | The mutual information (MI) metric and the

关键词： financial networks | mutual information | Pearson correlation | regression models | community detection

10. Early life-stage and adult productivity dynamics derived from a state-space stock assessment model for data-limited Thorny Skates (Amblyraja radiata Donovan, 1808) in NAFO Divisions 3LNO and Subdivision 3Ps NSTL国家科技图书文献中心

N.G. Cadigan | R.W. Steele ... - 《Fisheries Research》 - 2025,286 - 1～18 - 共18页

摘要： been directed fishing for this stock* since the 1980's* | . However, there is no stock* assessment model to evaluate* | -space stock* assessment model which integrates length* | -based survey indices* and total fishery catch* | data limited stock* so our assessment model makes*

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

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

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

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

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

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

摘要：, 2023, encompassing 12 stock* indices representing each* | © 2024 The Author(s)Artificial Intelligence | (AI) stands as a transformative force across | business, technology, and science, yet its comprehensive | impact on innovative industries remains relatively

关键词： Artificial intelligence | CAViaR | Cryptocurrency | Metaverse | TVP-VAR

摘要： suggest that stock* market indices display behavior akin* | reveals the temporal shift between two indices | across indices* from various countries. Our findings* | . Our results suggest that the fluctuations of indices | In this study, we utilize the coherence

关键词： Multi-scale coherence | multifractal analysis | stock market

摘要： cluster analysis and stock* network construction. This* | -fitting indices* for determining network adjacencies is* | stock networks are compared using the minimum spanning | internal cluster validity indices and external indices | The mutual information (MI) metric and the

关键词： financial networks | mutual information | Pearson correlation | regression models | community detection

摘要： been directed fishing for this stock* since the 1980's* | . However, there is no stock* assessment model to evaluate* | -space stock* assessment model which integrates length* | -based survey indices* and total fishery catch* | data limited stock* so our assessment model makes*

关键词： Catch-at-length model | Elasmobranch assessment | Data moderate | Time-varying M | Projections

4008-161-200 800-990-8900

国家科技图书文献中心

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

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

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

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

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

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

摘要：, 2023, encompassing 12 stock indices representing each | © 2024 The Author(s)Artificial Intelligence | (AI) stands as a transformative force across | business, technology, and science, yet its comprehensive | impact on innovative industries remains relatively

关键词： Artificial intelligence | CAViaR | Cryptocurrency | Metaverse | TVP-VAR

摘要： suggest that stock market indices display behavior akin | reveals the temporal shift between two indices | across indices from various countries. Our findings | . Our results suggest that the fluctuations of indices | In this study, we utilize the coherence

关键词： Multi-scale coherence | multifractal analysis | stock market

摘要： cluster analysis and stock network construction. This | -fitting indices for determining network adjacencies is | stock networks are compared using the minimum spanning | internal cluster validity indices and external indices | The mutual information (MI) metric and the

关键词： financial networks | mutual information | Pearson correlation | regression models | community detection

摘要： been directed fishing for this stock since the 1980's | . However, there is no stock assessment model to evaluate | -space stock assessment model which integrates length | -based survey indices and total fishery catch | data limited stock so our assessment model makes

关键词： Catch-at-length model | Elasmobranch assessment | Data moderate | Time-varying M | Projections

4008-161-200 800-990-8900

国家科技图书文献中心

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

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*

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*

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

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

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

摘要：, 2023, encompassing 12 stock* indices representing each* | © 2024 The Author(s)Artificial Intelligence | (AI) stands as a transformative force across | business, technology, and science, yet its comprehensive | impact on innovative industries remains relatively

摘要： suggest that stock* market indices display behavior akin* | reveals the temporal shift between two indices | across indices* from various countries. Our findings* | . Our results suggest that the fluctuations of indices | In this study, we utilize the coherence

摘要： cluster analysis and stock* network construction. This* | -fitting indices* for determining network adjacencies is* | stock networks are compared using the minimum spanning | internal cluster validity indices and external indices | The mutual information (MI) metric and the

摘要： been directed fishing for this stock* since the 1980's* | . However, there is no stock* assessment model to evaluate* | -space stock* assessment model which integrates length* | -based survey indices* and total fishery catch* | data limited stock* so our assessment model makes*