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[PDF][PDF] Understanding stock market instability via graph auto-encoders
Understanding stock market instability is a key question in financial management as
practitioners seek to forecast breakdowns in long-run asset co-movement patterns which …
practitioners seek to forecast breakdowns in long-run asset co-movement patterns which …
Characteristics of RMB Internationalization and Stock Market Co-movement Between China and RCEP Countries: An Analysis Based on Kernel PCA and SV-TVP …
K Huang, Z Zhang, Y Wang - Computational Economics, 2024 - Springer
This paper uses the stock market indexes of RCEP member countries, and uses the
relatively novel kernel PCA method in machine learning to improve the stock market …
relatively novel kernel PCA method in machine learning to improve the stock market …
Trade when opportunity comes: price movement forecasting via locality-aware attention and iterative refinement labeling
Price movement forecasting, aimed at predicting financial asset trends based on current
market information, has achieved promising advancements through machine learning (ML) …
market information, has achieved promising advancements through machine learning (ML) …
Multiresolution Signal Processing of Financial Market Objects
I Boier - ICASSP 2023-2023 IEEE International Conference on …, 2023 - ieeexplore.ieee.org
Financial markets are among the most complex entities in our environment, yet mainstream
quantitative models operate at predetermined scale, rely on linear correlation measures …
quantitative models operate at predetermined scale, rely on linear correlation measures …