Strategic Rotation of Major Asset Classes in Accordance with Macroeconomic Trends: A Study Based on the Chinese Financial Market
- DOI
- 10.2991/978-94-6463-488-4_25How to use a DOI?
- Keywords
- Macroeconomics; Asset rotation strategies; Hodrick-Prescott Filter
- Abstract
This study delves into the strategic ramifications of macroeconomic policies on the asset portfolios of key categories, employing a dataset that encompasses economic indicators such as the PMI, PPI, CPI, WTI, and IVA spanning from 2009 to 2019. The research aims to discern the trajectory of economic fluctuations and assess their effects on asset allocations. Special attention is devoted to examining the repercussions of temporal discrepancies in these indices on portfolio performance. By analyzing the behavior of assets during diverse economic phases, the paper develops rotational strategies for assets that are attuned to macroeconomic trends across various cycles. The culmination of this investigation presents tailored recommendations for optimizing investor portfolio distribution throughout distinct macroeconomic phases.
- Copyright
- © 2024 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Jingru Liu PY - 2024 DA - 2024/08/29 TI - Strategic Rotation of Major Asset Classes in Accordance with Macroeconomic Trends: A Study Based on the Chinese Financial Market BT - Proceedings of the 2024 2nd International Conference on Digital Economy and Management Science (CDEMS 2024) PB - Atlantis Press SP - 229 EP - 242 SN - 2352-5428 UR - https://doi.org/10.2991/978-94-6463-488-4_25 DO - 10.2991/978-94-6463-488-4_25 ID - Liu2024 ER -