Yingke Liu

Corporate digital transformation, carbon emissions, and ESG performance

Peng Liu, Nannan Guo, Yingke Liu

cn (code pays fourni par la source)

Future fund holding prediction based on dynamic time-differential fund-asset networks

Shangzhe Li, Yingke Liu, X. R. Chen, Xin Jiang et autres

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Uncovering capabilities of hash function in graph classification

Yingke Liu, Shangzhe Li, Bowen Shi, Junran Wu

cn, sg (code pays fourni par la source)

Ordering unicyclic graphs and bicyclic graphs by their \(ABS\) spectral radii

Yingke Liu, Zhen Lin

The atom-bond sum-connectivity \((ABS)\) matrix of a graph \(G\) is the square matrix of order \(n\), whose \((i,j)\)-entry is equal to \(\sqrt{1-\frac{2}{d_i+d_j}}\) if the \(i\)-th vertex and the \(j\)-th vertex of \(G\) are adjacent, and \(0\) otherwise, where \(d_i\) is the degree …

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CIRGNN: Leveraging Cross-Chart Relationships with a Graph Neural Network for Stock Price Prediction

Shanghui Jia, Han Gao, Jiaming Huang, Yingke Liu et autres

Recent years have seen a rise in combining deep learning and technical analysis for stock price prediction. However, technical indicators are often prioritized over technical charts due to quantification challenges. While some studies use closing price charts for predicting stock trends, they …

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Climate policy uncertainty and its impact on sovereign borrowing costs

Nannan Guo, Shanghui Jia, Yingke Liu

cn (code pays fourni par la source)

ChartNet : Reducing Subjectivity in Stock Prediction Through Unified Technical Chart Representation

Shangzhe Li, Yingke Liu, Fanglei Cheng, Junran Wu et autres

ABSTRACT Technical analysis, which includes technical indicators and charts derived from specific rules, has proven effective and widely used for stock movement prediction. However, technical chart evaluation is often limited by subjectivity, arising from sparse chart types and substantial information loss due …

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Climate policy uncertainty and its impact on the volatility, correlation, and hedging of sovereign and green bonds

Nannan Guo, Shanghui Jia, Yingke Liu

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Forecasting Turning Points in Stock Price by Integrating Chart Similarity and Multipersistence

Shangzhe Li, Yingke Liu, Xueyuan Chen, Junran Wu et autres

Forecasting financial data plays a crucial role in financial market. Relying solely on prices or price trends as prediction targets often leads to a vast of invalid transactions. As a result, researchers have increasingly turned their attention to turning points as the …

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On ABS Estrada index of trees

Zhen Lin, Ting Zhou, Yingke Liu

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Electricity shortage and corporate digital transformation: Evidence from China's listed firms

Shanghui Jia, Nannan Guo, Yingke Liu

cn (code pays fourni par la source)

Can climate change attention predict energy stock returns?

Shanghui Jia, Yingke Liu, Jiayu Jin

cn (code pays fourni par la source)