Page 23 - Demo

%u6a5f%u5668%u5b78%u7fd2%u5728%u8ca1%u52d9%u7814%u7a76%u8207%u61c9%u7528%u2500%u4ee5%u4ea4%u6613%u7b56%u7565%u8207%u91d1%u878d%u8a50%u6b3a%u5075%u6e2c%u70ba%u4f8b21%u6211%u5011%u5718%u968a%u4e5f%u61c9%u7528%u751f%u6210%u5f0f AI %u65bc%u8ca1%u91d1%u5ba2%u6236%u554f%u7b54%u7cfb%u7d71%u8207%u6cd5%u689d%u5c0d%u61c9%uff0c%u7cbe%u6e96%u89e3%u6790%u4f01%u696d%u5167%u898f%u8207%u5916%u90e8%u6cd5%u898f%u7684%u95dc%u806f%uff0c%u5e6b%u52a9%u4f01%u696d%u5feb%u901f%u61c9%u5c0d%u76e3%u7ba1%u8b8a%u5316%u3002%u6b64%u5916%uff0c%u5728%u9078%u64c7%u6b0a%u5b9a%u50f9%u9818%u57df%uff0c%u6211%u5011%u7d50%u5408%u5957%u5229%u5206%u6790%u8207%u6df1%u5ea6%u5b78%u7fd2%uff0c%u958b%u767c%u9069%u7528%u65bc%u6d41%u52d5%u6027%u4e0d%u8db3%u5e02%u5834%u7684%u9ad8%u7cbe%u5ea6%u5b9a%u50f9%u6a21%u578b%uff0c%u4ee5%u63d0%u5347%u5e02%u5834%u6548%u7387%u8207%u6295%u8cc7%u6c7a%u7b56%u7684%u6e96%u78ba%u6027%u3002%u672a%u4f86%u7684%u91d1%u878d%u6559%u80b2%u4e0d%u61c9%u50c5%u9650%u65bc%u50b3%u7d71%u7684%u516c%u53f8%u7406%u8ca1%u8207%u6295%u8cc7%u5b78%uff0c%u66f4%u61c9%u8207%u91d1%u878d%u6a5f%u69cb%u53ca%u79d1%u6280%u4f01%u696d%u7dca%u5bc6%u5408%u4f5c%uff0c%u5171%u540c%u63a8%u52d5%u7522%u696d%u5275%u65b0%u3002%u6211%u5011%u81f4%u529b%u65bc%u900f%u904e%u5b78%u754c%u8207%u696d%u754c%u7684%u6df1%u5ea6%u4ea4%u6d41%uff0c%u57f9%u80b2%u5177%u5099%u91d1%u878d%u8207 AI %u96d9%u91cd%u5c08%u9577%u7684%u8de8%u9818%u57df%u4eba%u624d%uff0c%u4f7f%u65b0%u4e00%u4ee3%u91d1%u878d%u79d1%u6280%u5c08%u696d%u4eba%u58eb%u80fd%u5920%u638c%u63e1 AI %u9a45%u52d5%u7684%u5e02%u5834%u8b8a%u9769%uff0c%u8fce%u63a5%u672a%u4f86%u6311%u6230%u3002%u53c3%u8003%u6587%u737bChang, W. C., Dai, T. S., Chen, Y. P., Hsieh, C. Y., Chang, Y. W., & Huang, Y. H. (2024, June). Integrating local learning to improve deep-reinforcement-learning-based pairs trading strategies. In 2024 IEEE Conference on Artificial Intelligence (CAI) (pp. 714-719). IEEE.Dai, T. S., Luo, Y. J., Chang, H. H., Kao, C. L., Wang, K. L., & Liu, L. C. (2024). Asymptotic analyses for trend-stationary pairs trading strategy in high-frequency trading. Review of Quantitative Finance and Accounting, 63, 1391-1411. https://doi.org/10.1007/s11156-024-01293-1Gatev, E., Goetzmann, W. N., & Rouwenhorst, K. G. (2006). Pairs trading: Performance of a relativevalue arbitrage rule. The Review of Financial Studies, 19(3), 797-827.Hsin, Y. Y., Dai, T. S., Ti, Y. W., Huang, M. C., Chiang, T. H., & Liu, L. C. (2022). Feature engineering and resampling strategies for fund transfer fraud with limited transaction data and a timeinhomogeneous modi operandi. IEEE Access, 10, 86101-86116.Shih, Y. C., Dai, T. S., Chen, Y. P., Ti, Y. W., Wang, W. H., & Kuo, Y. (2025). Fund transfer fraud detection: Analyzing irregular transactions and customer relationships with self-attention and graph neural networks. Expert Systems with Applications, 259, 125211.Ti, Y. W., Dai, T. S., Wang, K. L., Chang, H. H., & Sun, Y. J. (2024). Improving cointegration-based pairs trading strategy with asymptotic analyses and convergence rate filters. Computational Economics, 64, 2717-2745. https://doi.org/10.1007/s10614-023-10539-4Ti, Y. W., Hsin, Y. Y., Dai, T. S., Huang, M. C., & Liu, L. C. (2022). Feature generation and contribution comparison for electronic fraud detection. Scientific Reports, 12(1), 18042.