Factor Augmented Artificial Neural Network vs Deep Learning for Forecasting Global Liquidity Dynamics
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-030-87986-0_2
Reference16 articles.
1. Cohen, B.H., Domanski, D., Fender, I., Shin, H.S.: Global liquidity: a selective review. Ann. Rev. Econ. 9, 587–612 (2017)
2. Cerutti, E.M., Claessens, S., Ratnovski, L.: Global liquidity and cross-border bank flows. Econ. Policy 32(89), 81–125 (2017)
3. El-Shagi, M., Kelly, L.: What can we learn from country-level liquidity in the EMU? J. Financ. Stab. 42, 75–83 (2019)
4. Eickmeier, S., Gambacorta, L., Hofmann, B.: Understanding global liquidity. Eur. Econ. Rev. 68, 1–18 (2014)
5. Angrick, S.: Global liquidity and monetary policy autonomy: an examination of open-economy policy constraints. Camb. J. Econ. 42, 117–135 (2018)
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