Editorial BoardXML

Seoul Journal of Economics - Vol. 36 , No. 2

[ Article ]
Seoul Journal of Economics - Vol. 36, No. 2, pp. 193-220
Abbreviation: SJE
ISSN: 1225-0279 (Print)
Print publication date 31 May 2023
Received 16 Jan 2023 Revised 31 Jan 2023 Accepted 21 Apr 2023
DOI: https://doi.org/10.22904/sje.2023.36.2.002

The Role of Global Liquidity in Global Yield Dynamics
Euihwan Park ; Dong Heon Kim
Euihwhan Park, Assistant Professor, Department of Economics, Hannam University, DaeJeon (eh_park@hnu.kr)
Dong Heon Kim, Corresponding Author, Professor, Department of Economics, Korea University, Seoul, Tel: +82-2-3290-2226 (dongkim@korea.ac.kr)

Funding Information ▼

JEL Classification: E4; C5; G1; F4


Abstract

With the emergence of global liquidity as an important factor in the global financial market since the global financial crisis in 2008, the global financial market has shown interest in the effect of global liquidity on global yield dynamics. This paper examines the role of global liquidity in global yield dynamics based on the macro-finance model. Estimation results show that the global liquidity plays a more important role in explaining the global level factor than global inflation, but such macro factors do not seem to explain the global slope factor. We interpret that global liquidity not only has information on global commodity inflation but also on global asset price inflation and future expected inflation and thus has more explanatory power than global inflation.


Keywords: Term structure, Global liquidity, Dynamic factor model, Global yield, Yield curve

Acknowledgments

Part of this paper is based on Euihwan Park’s Ph.D. dissertation (2019) at Korea University. We thank Taiyo Yoshimi and the participants in the 2022 Japanese Society of International Economics Conference for their constructive comments and suggestions. Dong Heon Kim also thanks the Korea University research grant.


References
1. Abbritti, M., Dell’Erba, S., Moreno, A., and Sola, S. “Global factors in the term structure of interest rates.” International Journal of Central Banking 14(No. 2 2018): 301-339.
2. Andersen, T. G., and Lund, J. Stochastic volatility and mean drift in the short term interest rate diffusion: Source of steepness, level and curvature in the yield curve. Working paper 214, Department of Finance, Kellogg School, Northwestern University, 1997.
3. Ang, A., and Piazzesi, M. “A no-arbitrage vector autoregression of term structure dynamics with macroeconomic and latent variables.” Journal of Monetary economics 50(No. 4 2003): 745-787.
4. Ang, A., Piazzesi, M., and Wei, M. “What does the yield curve tell us about GDP growth?” Journal of econometrics 131(No. 1 2006): 359-403.
5. Bae, B. Y., and Kim, D. H. “Global and regional yield curve dynamics and interactions: The case of some Asian countries.” International Economic Journal 25(No. 4 2011): 717-738.
6. Beckmann, J., Belke, A., and Czudaj, R. “Does global liquidity drive commodity prices?” Journal of Banking & Finance 48(2014): 224-234.
7. Bekaert, G., Cho, S., and Moreno, A. “New Keynesian macroeconomics and the term structure.” Journal of Money, Credit and Banking 42(No. 1 2010): 33-62.
8. Belke, A., Orth, W., and Setzer, R. “Liquidity and the dynamic pattern of asset price adjustment: A global view,” Journal of Banking & Finance 34(No. 8 2010): 1933-1945.
9. Belke, A., Bordon, I. G., and Volz, U.“Effects of global liquidity on commodity and food prices.” World Development 44(2013): 31-43.
10. Bruno, V., and Shin, H. S. “Capital flows and the risk-taking channel of monetary policy.” Journal of Monetary Economics 71(2015): 119-132.
11. Campbell, J. Y., Sunderam, A., and Viceira, L. M. Inflation bets or deflation hedges? The changing risks of nominal bonds. Working paper, MIMEO Harvard University, 2016.
12. Chen, S., Liu, P., Maechler, A. M., Marsh, C., Saksonovs, S., and Shin, H. S. Exploring the dynamics of global liquidity. BIS, 2012.
13. Ciccarelli, M., and Mojon, B. “Global inflation,” The Review of Economics and Statistics 92(No. 3 2012): 524-535.
14. Chung, K., Lee, J. E., Loukoianova, E., Park, H., and Shin, H. S. “Global liquidity through the lens of monetary aggregates.” Economic Policy 30(No. 82 2015): 231-290.
15. D’Agostino, A., and Surico, P. “Does global liquidity help to forecast US inflation?” Journal of Money, Credit and Banking 41(No. 2-3 2009): 479-489.
16. Dewachter, H., and Lyrio, M. “Macro factors and the term structure of interest rates,” Journal of Money, Credit and Banking(2006): 119-140.
17. Dewachter, H., Iania, L., and Lyrio, M. “Information in the yield curve: A Macro-Finance approach,” Journal of Applied Econometrics 29(No. 1 2014): 42-64.
18. Diebold, F. X., and Li, C. “Forecasting the term structure of government bond yields.” Journal of econometrics 130(No. 2 2006): 337-364.
19. Diebold, F. X., Piazzesi, M., and Rudebusch, G. D. “Modeling bond yields in finance and macroeconomics.” American Economic Review 95(No. 2 2005): 415-420.
20. Diebold, F. X., Rudebusch, G. D., and Aruoba, S. B. “The macroeconomy and the yield curve: a dynamic latent factor approach.” Journal of econometrics 131(No. 1 2006): 309-338.
21. Diebold, F. X., Li, C., and Yue, V. Z. “Global yield curve dynamics and interactions: a dynamic Nelson--Siegel approach.” Journal of Econometrics 146(No. 2 2008): 351-363.
22. Domanski, D., Fender, I., and McGuire, P. Assessing global liquidity. BIS Quarterly Review, December, 2011.
23. Eickmeier, S., Gambacorta, L., and Hofmann, B. “Understanding global liquidity.” European Economic Review 68(2014): 1-18.
24. Giese, J. V., and Tuxen, C. K. Global liquidity and asset prices in a cointegrated VAR. Nuffield College, University of Oxford, and Department of Economics, Copenhagen University, 1-28, 2007.
25. Hordahl, P., Tristani, O., and Vestin, D. “A joint econometric model of macroeconomic and term-structure dynamics.” Journal of Econometrics 131(No. 1 2006): 405-444.
26. Hamilton, J. D., and Kim, D. H. “A re-examination of the predictability of the yield spread for real economic activity.” Journal of Money, Credit, and Banking 34(No. 2 2002): 340-360.
27. Kim, Y. J. “Global or Country Business Cycles: Developed versus Developing Countries,” Seoul Journal of Economics 34(No. 1 2021): 81-98.
28. Landau, J. P. Global liquidity-concept, measurement and policy implications. CGFS Papers, 45, 2011.
29. Mumtaz, H., Simonelli, S., and Surico, P. “International comovements, business cycle and inflation: A historical perspective.” Review of Economic Dynamics 14(No. 1 2011): 176-198.
30. Kang, H., Yu, B. K., and Yu, J. “Global liquidity and commodity prices.” Review of International Economics 24(No. 1 2016): 20-36.
31. Kim, C. J., and Nelson, C. R. State-space models with regime switching: classical and Gibbs-sampling approaches with applications. MIT Press Books, 1999.
32. Kose, M. A., Otrok, C., and Whiteman, C. H. “International business cycles: World, region, and country-specific factors.” The American Economic Review 93(No. 4 2003): 1216-1239.
33. Paccagnini, A. “The macroeconomic determinants of the US term structure during the Great Moderation.” Economic Modelling 52(2006): 216-225.
34. Qadan, M., and Yagil, J. “International co-movements of real and financial economic variables.” Applied Economics 47(No. 31 2015): 3347-3366.
35. Rudebusch, G. D. Macro-finance models of interest rates and the economy. The Manchester School, Supplement, 25-52, 2015.
36. Rudebusch, G. D., and Wu, T. “Accounting for a Shift in Term Structure Behavior with No-Arbitrage and Macro-Finance Models.” Journal of Money, Credit and Banking, 39(No. 2-3 2007): 395-422.
37. Rudebusch, G. D., and Wu, T. “A Macro-Finance Model of the Term Structure, Monetary Policy and the Economy.” The Economic Journal 118(No. 530 2008): 906-926.
38. Rüffer, R., and Stracca, L.What is global excess liquidity, and does it matter? ECB Working Paper No. 696, 2006.
39. Sousa, J., and Zaghini, A. “Monetary policy shocks in the euro area and global liquidity spillovers.” International journal of finance & Economics 13(No. 3 2008): 205-218.
40. Wright, J. H. “Term premia and inflation uncertainty: Empirical evidence from an international panel dataset.” The American Economic Review 101(No. 4 2011): 1514-1534.