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Research on the application of neural networks in macroeconomic forecasting and strategic management decision-making

  
Oct 09, 2024

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Leimbach, M., Kriegler, E., Roming, N., & Schwanitz, J. (2017). Future growth patterns of world regions– A GDP scenario approach. Global Environmental Change, 42, 215-225. Search in Google Scholar

Garnitz, J., Lehmann, R., & Wohlrabe, K. (2019). Forecasting GDP all over the world using leading indicators based on comprehensive survey data. Applied Economics, 51(54), 5802-5816. Search in Google Scholar

Dwiputri, I. N., Kusufi, M. S., & Allo, A. G. (2019). Projections of regional macroeconomic conditions using the univariate forecasting method. Economics Development Analysis Journal, 8(3), 329-342. Search in Google Scholar

Kurpayanidi, K. I. (2020). ON THE PROBLEM OF MACROECONOMIC ANALYSIS AND FORECASTING OF THE ECONOMY. Theoretical & Applied Science, (3), 1-6. Search in Google Scholar

Jena, P. R., Majhi, R., Kalli, R., Managi, S., & Majhi, B. (2021). Impact of COVID-19 on GDP of major economies: Application of the artificial neural network forecaster. Economic Analysis and Policy, 69, 324-339. Search in Google Scholar

Elshendy, M., & Fronzetti Colladon, A. (2017). Big data analysis of economic news: Hints to forecast macroeconomic indicators. International Journal of Engineering Business Management, 9, 1847979017720040. Search in Google Scholar

Jung, J. K., Patnam, M., & Ter-Martirosyan, A. (2018). An algorithmic crystal ball: Forecasts-based on machine learning. International Monetary Fund. Search in Google Scholar

Zhukova, Y., & Sobolieva-Tereshchenko, O. (2021). Modeling macroeconomic indicators in unstable economies. Journal of International Studies (2071-8330), 14(2). Search in Google Scholar

Milićević, S., Kostić, V., & Stošković, M. (2024). INNOVATIVE MACROMANAGEMENT IN THE KNOWLEDGE ECONOMY. Oditor, 10(1), 57-84. Search in Google Scholar

Zehri, C. (2023). Macro‐management policies: A supporting role to company’capital expenditure. International Journal of Finance & Economics, 28(4), 3846-3864. Search in Google Scholar

Van Dinh, D., & Ha, N. T. (2023). The tax policy and macro management: evidence in Vietnam. Финансы: теория и практика, 27(5), 150-159. Search in Google Scholar

Fuertes, G., Alfaro, M., Vargas, M., Gutierrez, S., Ternero, R., & Sabattin, J. (2020). Conceptual framework for the strategic management: a literature review—descriptive. Journal of engineering, 2020(1), 6253013. Search in Google Scholar

Coccia, M. (2020). Critical decisions in crisis management: rational strategies of decision making. Journal of Economics Library, 7(2), 81-96. Search in Google Scholar

Elbanna, S., Kapoutsis, I., & Mellahi, K. (2017). Creativity and propitiousness in strategic decision making: The role of positive politics and macro-economic uncertainty. Management Decision, 55(10), 2218-2236. Search in Google Scholar

Abubakar, A. M., Elrehail, H., Alatailat, M. A., & Elçi, A. (2019). Knowledge management, decision-making style and organizational performance. Journal of Innovation & Knowledge, 4(2), 104-114. Search in Google Scholar

Smalter Hall, A., & Cook, T. R. (2017). Macroeconomic indicator forecasting with deep neural networks. Federal Reserve Bank of Kansas City Working Paper, (17-11). Search in Google Scholar

Wang, X., Li, C., Yi, C., Xu, X., Wang, J., & Zhang, Y. (2022). EcoForecast: An interpretable data-driven approach for short-term macroeconomic forecasting using N-BEATS neural network. Engineering Applications of Artificial Intelligence, 114, 105072. Search in Google Scholar

Kuang, Y., Singh, R., Singh, S., & Singh, S. P. (2017). A novel macroeconomic forecasting model based on revised multimedia assisted BP neural network model and ant Colony algorithm. Multimedia Tools and Applications, 76, 18749-18770. Search in Google Scholar

Goulet Coulombe, P., Leroux, M., Stevanovic, D., & Surprenant, S. (2022). How is machine learning useful for macroeconomic forecasting?. Journal of Applied Econometrics, 37(5), 920-964. Search in Google Scholar

Hall, A. S. (2018). Machine learning approaches to macroeconomic forecasting. The Federal Reserve Bank of Kansas City Economic Review, 103(63), 2. Search in Google Scholar

Punt, A. E. (2017). Strategic management decision-making in a complex world: quantifying, understanding, and using trade-offs. ICES Journal of Marine Science, 74(2), 499-510. Search in Google Scholar

Özemre, M., & Kabadurmus, O. (2020). A big data analytics based methodology for strategic decision making. Journal of Enterprise Information Management, 33(6), 1467-1490. Search in Google Scholar

Simons, R. (2019). The role of management control systems in creating competitive advantage: new perspectives. In Management Control Theory (pp. 173-194). Routledge. Search in Google Scholar

Bryson, J. M., Edwards, L. H., & Van Slyke, D. M. (2018). Getting strategic about strategic planning research. Public management review, 20(3), 317-339. Search in Google Scholar

David, F. R., & David, F. R. (2017). Strategic management: concepts and cases: A competitive advantage approach. Pearson. Search in Google Scholar

Chen Shijun,Han Xiaoli,Shen Yunbin & Ye Chong. (2021). Application of Improved LSTM Algorithm in Macroeconomic Forecasting. Computational Intelligence and Neuroscience4471044-4471044. Search in Google Scholar

Yunying Huang,Wenlin Gui,Yixin Jiang & Fengyi Zhu. (2022). Types of systemic risk and macroeconomic forecast: Evidence from China. Electronic Research Archive(12),4469-4492. Search in Google Scholar

Cheng Fangze & Fu Zitian. (2022). Macroeconomic Forecasting Based on Mixed Frequency Vector Autoregression and Neural Network Models. Wireless Communications and Mobile Computing. Search in Google Scholar

Park Sunjin. (2022). Heterogeneous beliefs in macroeconomic growth prospects and the carry risk premium. Journal of Banking and Finance. Search in Google Scholar

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English