Selecting a better valuation model to measure bubble level of stocks price
Empirical study from internet-based finance stocks in A-share market
Bibliographic Data
| ID | 15067170 |
|---|---|
| Authors | Yi Zhao (0009-0002-1840-3978, Hebei University of Technology), Baiqing Sun (0000-0003-3384-5029, Harbin Institute of Technology), Binqing Xiao (0000-0002-3319-7175, Nanjing University, corresponding author), Fu Cheng (0000-0003-1039-6646, School of Business Administration, Northeastern University , Shenyang , China) |
| Year | 2018 |
| Volume | 31 |
| Issue | 1 |
| Pages | 1619-1640 |
| Publication date | 2018-01-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Economic Research-Ekonomska Istraživanja (JOURNAL) |
| Journal identifiers | ISSN: 1331-677X • E-ISSN: 1848-9664 |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/1331677x.2018.1484787 |
| OpenAlex | W2900832203 |
| Language | EN |
| Citations received | 2 |
| References cited | 24 |
As a star of emerging industries in China, internet-based finance has been developing rapidly. This paper, considers selecting a more suitable valuation model to measure the intrinsic value and price bubble of Internet-based Finance stocks. By comparing the relative valuation accuracy of the Kim et al. model with the Frankel-Lee model and the F-O model applied in the prior studies, this study finds that the Kim et al. model highlights the industry-specific features and outperforms other models in interpreting stocks price variation. Especially, under the circumstance of soaring and slumping stocks price variation (e.g. 2015), it is essential to study the price bubbles of internet-based finance stocks at different points of Shanghai Stock Exchange Composite Index. Surprisingly, our empirical results suggest that the internet-based finance stocks have negative bubbles at the whole average level, and about half of them are undervalued. Moreover, there are positive correlations between the bubble level and three key factors including the trading volume, the price to book ratio and whether to do cross-industry business on internet-based finance. These findings imply that the Kim et al. model contributes to improving valuation accuracy of internet-based finance stocks and explainability of the price bubbles in A-share market
Business · Econometrics · Economic bubble · Economics · Financial economics · Share price · Stock exchange · The Internet · Complex Systems and Time Series Analysis · Computer Science · Financial Markets and Investment Strategies · Stock Market Forecasting Methods · Finance
| Citations per year | 0.33 |
|---|---|
| Citation span | 2020 - 2024 (5) |
| Highly cited | No |