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Exploring the impact of macroeconomic changes on financial market stability using big data analytics

  
Feb 05, 2025

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Xie, J. (2022). New tools for macroeconomic analysis in the era of big data. In 2021 International Conference on Big Data Analytics for Cyber-Physical System in Smart City: Volume 1 (pp. 513-521). Springer Singapore. XieJ. (2022). New tools for macroeconomic analysis in the era of big data. In 2021 International Conference on Big Data Analytics for Cyber-Physical System in Smart City: Volume 1 (pp. 513-521). Springer Singapore. Search in Google Scholar

Priyaranjan, N., & Pratap, B. (2020). Macroeconomic effects of uncertainty: a big data analysis for India. Priyaranjan, N., & Pratap, B.(2020). Macroeconomic Effects of Uncertainty: A Big Data Analysis for India. RBI Working Paper, (04). PriyaranjanN. & PratapB. (2020). Macroeconomic effects of uncertainty: a big data analysis for India. Priyaranjan, N., & Pratap, B.(2020). Macroeconomic Effects of Uncertainty: A Big Data Analysis for India. RBI Working Paper, (04). Search in Google Scholar

Yang, R., Yu, L., Zhao, Y., Yu, H., Xu, G., Wu, Y., & Liu, Z. (2020). Big data analytics for financial Market volatility forecast based on support vector machine. International Journal of Information Management, 50, 452-462. YangR.YuL.ZhaoY.YuH.XuG.WuY. & LiuZ. (2020). Big data analytics for financial Market volatility forecast based on support vector machine. International Journal of Information Management, 50, 452-462. Search in Google Scholar

Garboden, P. M. (2020). Sources and types of big data for macroeconomic forecasting. Macroeconomic Forecasting in the Era of Big Data: Theory and Practice, 3-23. GarbodenP. M. (2020). Sources and types of big data for macroeconomic forecasting. Macroeconomic Forecasting in the Era of Big Data: Theory and Practice, 3-23. Search in Google Scholar

D’Orazio, P. (2017). Big data and complexity: Is macroeconomics heading toward a new paradigm?. Journal of Economic Methodology, 24(4), 410-429. D’OrazioP. (2017). Big data and complexity: Is macroeconomics heading toward a new paradigm?. Journal of Economic Methodology, 24(4), 410-429. Search in Google Scholar

Goldstein, I. (2023). Information in financial markets and its real effects. Review of Finance, 27(1), 1-32. GoldsteinI. (2023). Information in financial markets and its real effects. Review of Finance, 27(1), 1-32. Search in Google Scholar

Richardson, P. (2018). Nowcasting and the Use of Big Data in Short Term Macroeconomic Forecasting: A Critical Review. Economie et Statistique, 505(1), 65-87. RichardsonP. (2018). Nowcasting and the Use of Big Data in Short Term Macroeconomic Forecasting: A Critical Review. Economie et Statistique, 505(1), 65-87. Search in Google Scholar

Kohns, D., & Bhattacharjee, A. (2019). Interpreting big data in the macro economy: A Bayesian mixed frequency estimator (No. 010). Centre for Energy Economics Research and Policy, Heriot-Watt University. KohnsD. & BhattacharjeeA. (2019). Interpreting big data in the macro economy: A Bayesian mixed frequency estimator (No. 010). Centre for Energy Economics Research and Policy, Heriot-Watt University. Search in Google Scholar

Goldstein, I., Spatt, C. S., & Ye, M. (2021). Big data in finance. The Review of Financial Studies, 34(7), 3213-3225. GoldsteinI.SpattC. S. & YeM. (2021). Big data in finance. The Review of Financial Studies, 34(7), 3213-3225. Search in Google Scholar

Kim, S. (2020). Macroeconomic and financial market analyses and predictions through deep learning. Bank of Korea WP, 18. KimS. (2020). Macroeconomic and financial market analyses and predictions through deep learning. Bank of Korea WP, 18. Search in Google Scholar

Pan, H. (2019, May). Intelligent finance global monitoring and observatory: A new perspective for global macro beyond big data. In 2019 IEEE International Conference on Industrial Cyber Physical Systems (ICPS) (pp. 623-628). IEEE. PanH. (2019, May). Intelligent finance global monitoring and observatory: A new perspective for global macro beyond big data. In 2019 IEEE International Conference on Industrial Cyber Physical Systems (ICPS) (pp. 623-628). IEEE. Search in Google Scholar

Cheng, P., Ferrara, L., Froidevaux, A., & Huynh, T. L. (2021). Massive data analytics for macroeconomic nowcasting. Data Science for Economics and Finance, 145. ChengP.FerraraL.FroidevauxA. & HuynhT. L. (2021). Massive data analytics for macroeconomic nowcasting. Data Science for Economics and Finance, 145. Search in Google Scholar

Binoy, S. J., & Jos, J. (2022, April). Financial market forecasting using macro-economic variables and rnn. In 2022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE) (pp. 1366-1371). IEEE. BinoyS. J. & JosJ. (2022, April). Financial market forecasting using macro-economic variables and rnn. In 2022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE) (pp. 1366-1371). IEEE. Search in Google Scholar

Farboodi, M., & Veldkamp, L. (2020). Long-run growth of financial data technology. American Economic Review, 110(8), 2485-2523. FarboodiM. & VeldkampL. (2020). Long-run growth of financial data technology. American Economic Review, 110(8), 2485-2523. Search in Google Scholar

Prüser, J., & Huber, F. (2024). Nonlinearities in macroeconomic tail risk through the lens of big data quantile regressions. Journal of Applied Econometrics, 39(2), 269-291. PrüserJ. & HuberF. (2024). Nonlinearities in macroeconomic tail risk through the lens of big data quantile regressions. Journal of Applied Econometrics, 39(2), 269-291. Search in Google Scholar

Chen, Z., Lien, D., & Lin, Y. (2021). Sentiment: The bridge between financial markets and macroeconomy. Journal of Economic Behavior & Organization, 188, 1177-1190. ChenZ.LienD. & LinY. (2021). Sentiment: The bridge between financial markets and macroeconomy. Journal of Economic Behavior & Organization, 188, 1177-1190. Search in Google Scholar

Segal, G., Shaliastovich, I., & Yaron, A. (2015). Good and bad uncertainty: Macroeconomic and financial market implications. Journal of Financial Economics, 117(2), 369-397. SegalG.ShaliastovichI. & YaronA. (2015). Good and bad uncertainty: Macroeconomic and financial market implications. Journal of Financial Economics, 117(2), 369-397. Search in Google Scholar

Magnani, G. (2017). Modeling in the Macroeconomics of Financial Markets. Springer Handbook of Model-Based Science, 1065-1101. MagnaniG. (2017). Modeling in the Macroeconomics of Financial Markets. Springer Handbook of Model-Based Science, 1065-1101. Search in Google Scholar

Kyriazis, N. A. (2021). Trade policy uncertainty effects on macro economy and financial markets: An integrated survey and empirical investigation. Journal of Risk and Financial Management, 14(1), 41. KyriazisN. A. (2021). Trade policy uncertainty effects on macro economy and financial markets: An integrated survey and empirical investigation. Journal of Risk and Financial Management, 14(1), 41. Search in Google Scholar

Qianqian Xue. (2024). Exploring the Application of Big Data Technology in Macroeconomic Management and Strategy Formulation. Applied Mathematics and Nonlinear Sciences(1). XueQianqian. (2024). Exploring the Application of Big Data Technology in Macroeconomic Management and Strategy Formulation. Applied Mathematics and Nonlinear Sciences(1). Search in Google Scholar

Mamman Suleiman O.,Wang Zhanqin & Iliyasu Jamilu. (2023). Commonality in BRICS stock markets’ reaction to global economic policy uncertainty: Evidence from a panel GARCH model with cross sectional dependence. Finance Research Letters(PA), Mamman SuleimanO.ZhanqinWang & JamiluIliyasu. (2023). Commonality in BRICS stock markets’ reaction to global economic policy uncertainty: Evidence from a panel GARCH model with cross sectional dependence. Finance Research Letters(PA), Search in Google Scholar

Chao Liang,John W. Goodell & Xiafei Li. (2024). Impacts of carbon market and climate policy uncertainties on financial and economic stability: Evidence from connectedness network analysis. Journal of International Financial Markets, Institutions & Money101977-. LiangChaoGoodellJohn W. & LiXiafei. (2024). Impacts of carbon market and climate policy uncertainties on financial and economic stability: Evidence from connectedness network analysis. Journal of International Financial Markets, Institutions & Money101977-. Search in Google Scholar

Mazziotta Matteo & Pareto Adriano. (2024). Principal component analysis for constructing socioeconomic composite indicators: theoretical and empirical considerations. SN Social Sciences(6), MatteoMazziotta & AdrianoPareto. (2024). Principal component analysis for constructing socioeconomic composite indicators: theoretical and empirical considerations. SN Social Sciences(6), Search in Google Scholar

Zhenzhong Fan & Xing Chen. (2024). The Impact of Unconventional Monetary Policy on China’s Economic and Financial Cycle: Application of a Structural Vector Autoregression Model Based on High-Frequency Data. Mathematics(13),1967-1967. FanZhenzhong & ChenXing. (2024). The Impact of Unconventional Monetary Policy on China’s Economic and Financial Cycle: Application of a Structural Vector Autoregression Model Based on High-Frequency Data. Mathematics(13),1967-1967. Search in Google Scholar

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