• Login
  • Register
  • Search

Research on the Relationship between Analyst Forecast and Chinese Listed Companies’ Long-term Use of Short-term Debt

Ruofan Li

Abstract


Under the background that the central government pointed out “Ensuring that no major systemic financial risks will
occur”, this study explores the mitigation mechanism of the long-term use of Short-term debt. Using the data of A-share listed
companies in Shanghai and Shenzhen from 2010 to 2021, The results show that analysts’ Forecast can significantly inhibit the
phenomenon of the long-term use of Short-term debt, and financing constraints play a partial intermediary role between them;
Under the background of the long-term construction of China’s capital market at this stage, it is of practical significance to how
to cooperate with the construction of macro capital market, provide micro guarantee and prevent major systemic financial risks.

Keywords


The Long-term Use of Short-term Debt; Analyst forecast; Financing constraints

Full Text:

PDF

Included Database


References


[1] Hu Yuancheng, Liu Mingyan. Influencing factors of debt maturity structure of Chinese Listed Companies: panel data analysis[J]. Management World, 2011 (02): 175-177.

[2] Bai Yunxia, Qiu MuQing, Li Wei. Maturity Mismatch of Investment and Financing and Its Institutional Explanation-Evidence from Comparison of Chinese and U.S.Financial Markets[J]. China Industrial Economics, 2016 (07): 23-39.

[3] Li Yang. Improving the resource allocation function of Finance -- the topic of financial reform in the Third Plenary Session of the 18th CPC Central Committee[J]. Economic Research Journal, 2014,49 (01): 8-11.

[4] Ma Hong, Hou Guisheng, Wang Yuanyue. Financial-Industrial Integration and Maturity Mismatch of Investment and Financing in China[J]. Nankai Business Review, 2018,21 (03): 46-53.

[5] Hong Jinming, Sang Qianlan. Manager Overconfidence, internal control and enterprise “Short-term debts Used as Long-term Investment”[J]. Statistics and decision, 2021,37 (23): 165-169.

[6] Frankel R , Kothari S P , Weber J . Determinants of the Informativeness of Analyst Research[J]. Journal of Accounting & Economics, 2006, 41(1/2):29-54.

[7] Wang Hongjian, Yang Zheng, Ruan Gangming, Cao Yuqiang. Deregulation of Interest Rates, Excessive Debt and Debt Maturity Structure[J], Journal of Financial Research, 2018 (02): 100-117.

[8] Xu Gaoyan, Gao Ge. Is the Dispersion of Analysts Forecast a “Water-Overflowing Bridge”in the Flood of Market Sentiment?: From the Perspective of Stock Price Crash Risk[J]. Modern Economic Research, 2022 (02): 52-67.

[9] Jin Yonghong, Ji Peng, Wang Xiangrui, Xi Yuqin. Analyst Forecast Bias, Investors` Heterogeneous Beliefs and Stock Price Crash Risk[J]. Foreign Economics and Management, 2021,43 (06): 90-104.

[10] Xia Jianhong. Research on the relationship between analysts’ attention, enterprise risk-taking and audit fees[J]. Northern Economy and Trade, 2021 (10): 76-80.

[11] Bai Jun, Li Yun. Can co-analysts improve enterprise innovation investment[J]. Finance and Accounting Monthly, 2022 (07): 51-60.

[12] Radhakrishnan Gopalan,Fenghua Song,Vijay Yerramilli. Debt Maturity Structure and Credit Quality[J]. Journal of Financial and Quantitative Analysis, 2014, 49 (4): 817-842.

[13] Jackson A R. Trade Generation, Reputation, and Sell-Side Analysts[J]. Journal of Finance, 2005, 60 (2): 673-717.

[14] Wang Yan, Li Shanmin. Will social trust improve the performance of M&A?[J]. Management World, 2017 (12): 125-140.




DOI: http://dx.doi.org/10.18686/ahe.v6i16.5237

Refbacks