Fund Valuation Analysis of Regional Industrial Economies
Empirical Analysis Based on 3660 Samples From 15 Funds
- DOI
- 10.2991/aebmr.k.220502.028How to use a DOI?
- Keywords
- Regional Development; Industrial Economy; Fund Valuation; H-P Filter Method; Tobit Model
- Abstract
With the development of China’s economy, a regional pattern has gradually formed in which the eastern region takes the lead, the western region actively promotes, and the central region speeds up its development. However, there is still a great imbalance in regional development and the regional economic gap is obvious. Based on this, according to the grade of R1- R5, select scattered in the east, middle and west areas, a total of 15 open-end fund market, with its 2021 annual unit net asset value as the research sample. By using the H-P filter method, OLS regression and Tobit model, the changing trend of the net asset value per unit is analyzed, and the following research conclusions were drawn: ①From the total assets and net profits of the enterprises corresponding to fund holdings, there is a decreasing trend in the eastern, central and western regions, besides the number of related fund companies is also decreasing. ②The analysis for fund classification reveals that the model fits relatively better for funds in the R2-R4 category. ③The fund stability and the fit of the fund prediction model are higher in the central and eastern regions than in the western region.
- Copyright
- © 2022 The Authors. Published by Atlantis Press International B.V.
- Open Access
- This is an open access article distributed under the CC BY-NC 4.0 license.
Cite this article
TY - CONF AU - Linhao Li AU - Xin Wei AU - Ziteng Xu AU - Ying Xia AU - Jingjie Zhang PY - 2022 DA - 2022/05/16 TI - Fund Valuation Analysis of Regional Industrial Economies BT - Proceedings of the 2022 International Conference on Urban Planning and Regional Economy(UPRE 2022) PB - Atlantis Press SP - 151 EP - 158 SN - 2352-5428 UR - https://doi.org/10.2991/aebmr.k.220502.028 DO - 10.2991/aebmr.k.220502.028 ID - Li2022 ER -