تاثیر انتشار اطلاعات (با سنجش گسست و نویز اطلاعات) بر اثر تکانه صنعت سری زمانی در شرایط رونق و رکود اقتصادی

Andrei, D., & Cujean, J. (2017). Information percolation, momentum and reversal. Journal of Financial Economics, 123(3), 617-645. https://doi.org/10.1016/j.jfineco.2016.05.012

Bird, R., Gao, X., & Yeung, D. (2017). 'Time-series and cross-sectional momentum strategies under alternative implementation strategies'. Australian Journal of Management, 42(2), 230-251. https://doi.org/10.1177/0312896215619965

Borgards, O. (2021). Dynamic time series momentum of cryptocurrencies. The North American Journal of Economics and Finance, 57, 101428. https://doi.org/10.1016/j.najef.2021.101428

Cheema, M. A., Chiah, M., & Man, Y. (2020). Cross-sectional and time-series momentum returns: Is China different? Pacific-Basin Finance Journal, 64, 101458. https://doi.org/10.1016/j.pacfin.2020.101458

Chen, C. D., Cheng, C. M., & Demirer, R. (2017). Oil and stock market momentum. Energy Econ, 68, 151-159. https://doi.org/10.1016/j.eneco.2017.09.025

Da, Z., Gurun, U. G., & Warachka, M. (2014). Frog in the pan: Continuous information and momentum. The Review of Financial Studies, 27(7), 2171-2218. https://doi.org/10.1093/rfs/hhu003

Fallahi, F., Panahi, H., & Karimi Kandoleh, M. (2018). Examining the Correlation Between Stock Market Returns, Currency, and Gold in Iran's Economy: An Application of the Hilbert-Huang Transform.

Fang, Y. (2021). The time series momentum effect: the impact of information diffusion and time-varying risk Loughborough University].

Gorji, A., Hosseini, M., & Hoorieh, S. (2022). A Comprehensive Review of Investment and Risk Management. Negah Danesh Publishing.

Goyal, A., & Jegadeesh, N. (2018). Cross-sec0tional and time-series tests of return predictability: What is the difference? The Review of Financial Studies, 31(5), 1784-1824. https://doi.org/10.1093/rfs/hhx131

Hou, K., Xue, C., & Zhang, L. (2020). Replicating anomalies. Review of Financial Studies, 33(5), 2019-2133. https://doi.org/10.1093/rfs/hhy131

Huang, S., Lee, C. M., Song, Y., & Xiang, H. (2022). A frog in every pan: Information discreteness and the lead-lag returns puzzle. Journal of Financial Economics, 145(2), 83-102. https://doi.org/10.1016/j.jfineco.2021.10.011

Hutchinson, M. C., & O'Brien, J. (2020). Time series momentum and macroeconomic risk. International Review of Financial Analysis, 69, 101469. https://doi.org/10.1016/j.irfa.2020.101469

Kim, A. Y., Tse, Y., & Wald, J. K. (2016). Time series momentum and volatility scaling. Journal of Financial Markets, 30, 103-124. https://doi.org/10.1016/j.finmar.2016.05.003

Kumar, R., & Kumar, D. (2023). Blockchain-Based Smart Dairy Supply Chain: Catching The momentum for Digital Transformation. Journal of Agribusiness in Developing and Emerging Economies. https://doi.org/10.1108/jadee-07-2022-0141

Lim, B. Y., Wang, J., & Yao, Y. (2018). 'Time-series momentum in nearly 100 years of stock returns'. Journal of Banking & Finance, 97, 283-296. https://doi.org/10.1016/j.jbankfin.2018.10.010

Lin, C. A. U. K. K. C., Chen, Y. L., & Chu, H. H. (2016). Information discreteness, price limits and earnings momentum. Pacific-Basin Finance Journal, 37, 1-22. https://doi.org/10.1016/j.pacfin.2016.02.003

Ma, Y.-Q., Ventre, C., & Polukarov, M. (2021). Denoised Labels for Financial Time-Series Data via Self-Supervised Learning. https://doi.org/10.48550/arxiv.2112.10139

Mohammadi, S., & Mansourfar, G. (2022). The Effect of Financial Data Noise on the Long-Term Co-Movement of Stock Markets. Transactions on Data Analysis in Social Science, 4(1), 9-21. https://doi.org/10.47176/tdass/2022.9

Mostafavi, S. M., & Mostafavi, S. M. (2022). A Study on the Performance of the Momentum Strategy in the Tehran Stock Exchange. Transactions on Data Analysis in Social Science, 4(2), 78-87. https://doi.org/10.47176/tdass/2022.78

Pitkäjärvi, A., Suominen, M., & Vaittinen, L. (2020). Cross-asset signals and time series momentum. Journal of Financial Economics, 136(1), 63-85. https://doi.org/10.1016/j.jfineco.2019.02.011

Rameshini, M. (2018). Analyzing Boom and Bust Markets in Iran's Stock Market Using a Nonparametric Approach University of TehranER -].

Singh, B., & Kaunert, C. (2024). Vertical Assimilation of Artificial Intelligence and Machine Learning in Safeguarding Financial Data. 173-200. https://doi.org/10.4018/979-8-3693-3633-5.ch010

Tan, Y. M., & Cheng, F. F. (2019). Industry-and liquidity-based momentum in Australian equities. Financial Innovation, 5(1), 43. https://doi.org/10.1186/s40854-019-0155-z

Xu, K., Wu, Y., Li, Z., Zhang, R., & Feng, Z. (2024). Investigating financial risk behavior prediction using deep learning and big data. International Journal of Innovative Research in Engineering and Management, 11(3), 77-81. https://doi.org/10.55524/ijirem.2024.11.3.12

Zamani Sabzi, M., Saeedi, A., & Mohamad, H. (2020). The Speed of Capital Structure Adjustment and the Impact of Boom and Bust Cycles: Evidence from Companies Listed on the Tehran Stock Exchange. Scientific-Research Quarterly Journal of Financial Research, 22(2).