Determinants of Corporate Risk Taking and Risk-Return Relationship

Xiaodong LI, Fan YANG, Ruiwen ZHANG

Abstract


This research empirically tests for the determinants of corporate risk taking and the risk-return relationship in China, with the sample of listed companies’ financial data from 2004 to 2012 in the electric power and thermal industry in China. The authors use a dynamic model that included risk, corporate performance, industry performance, performance expectations and aspirations. The results presented in the test suggest that corporate performance and past risk both have a negative influence on corporate risk, while performance expectations and aspirations have a positive influence on corporate risk. It  provides evidence of the argument on the corporate risk-return relations of Behavioral Theory of Firm. A low-performance corporate will seek risk actively and a high-performance corporate will avoid risk. The phenomenon of “Bowman’s paradox” exists in China’s enterprises.

Keywords


Risk-return relationship; Performance; Behavioral Theory of Firm; Bowman’s paradox

Full Text:

PDF

References


Andersen, T. J., Denrell, J., & Bettis, R. A. (2007). Strategic responsiveness and Bowman’s risk-return paradox. Strategic Management Journal, 28(4), 407-429.

Bowman, E. H. (1980). A risk/return paradox for strategic management. Sloan Management Review, 21(3), 17-31.

Bowman, E. H. (1982). Risk seeking by troubled firms. Sloan Management Review, 23(4), 33-42.

Bromiley, P. (1991). Testing a causal model of corporate risk taking and performance. Academy of Management Journal, 34(1), 37-59.

Brown, L. D., Richardson, G. D., & Schwager, S. J. (1987). An information interpretation of financial analyst superiority in forecasting earnings (Working paper). State University of New York at Buffalo.

Chang, Y., & Thomas, H. (1989). The impact of diversification strategy on risk-return performance. Strategic Management Journal, 10, 271-284.

Conroy, R., & Harris, R. (1987). Consensus forecasts of corporate earnings: Analysts’ forecasts and time series methods. Management Science, 33, 725-738.

Cyert, R. M., & March, J. G. (1963). A behavioral theory of the firm. Englewood Cliffs, NJ: Prentice-Hall.

Deephouse, D. L., & Wiseman, R. M.(2000). Comparing alternative explanations for accounting risk-return relations. Journal of Economic Behavior and Organization, 42, 463-482.

Denrell, J.(2008). Organizational risk taking: Adaptation versus variable risk preferences. Industrial and Corporate Change, 17(3), 427-466.

Fama, E. F., & MacBeth, J. D. (1973). Risk, return, and equilibrium: Empirical tests. Journal of Political Economy, 81, 607-636.

Eliasson, G. (1976). Business economic planning. London: John Wiley & Sons.

Fiegenbaum, A., & Thomas, H. (1985). An examination of the structural stability of Bowman’s risk-return paradox. Academy of Management Proceedings, 7-10.

Fiegenbaum, A., & Thomas, H. (1988). Attitudes toward risk and the risk return paradox: Prospect theory explanations. Academy of Management Journal, 31(1), 85-106.

Fiegenbaum, A., & Thomas, H. (1995). Strategic groups as reference groups: Theory, modeling and an empirical examination of industry and competitive strategy. Strategic Management Journal, 16(5), 461-476.

Fisher, I. N., & Hall, G. R. (1969). Risk and corporate rates of return. Quarterly Journal of Economics, 83, 79-92.

Givoly, D., & Lakonishok, J. (1988). Divergence of earnings expectations: The effect on stock market response to earnings signals. In E. Dimson (Ed.), Stock m




DOI: http://dx.doi.org/10.3968/4439

Refbacks

  • There are currently no refbacks.


Copyright (c)



Reminder

  • How to do online submission to another Journal?
  • If you have already registered in Journal A, then how can you submit another article to Journal B? It takes two steps to make it happen:

Submission Guidelines for Canadian Social Science

We are currently accepting submissions via email only. The registration and online submission functions have been disabled.

Please send your manuscripts to css@cscanada.net,or css@cscanada.org for consideration. We look forward to receiving your work.

 Articles published in Canadian Social Science are licensed under Creative Commons Attribution 4.0 (CC-BY).

 

Canadian Social Science Editorial Office

Address: 1020 Bouvier Street, Suite 400, Quebec City, Quebec, G2K 0K9, Canada.
Telephone: 1-514-558 6138 
Website: Http://www.cscanada.net; Http://www.cscanada.org 
E-mail:caooc@hotmail.com; office@cscanada.net

Copyright © Canadian Academy of Oriental and Occidental Culture