Tan, Yi Lin (2018): The Influence of Corporate Governance to the Firm Performance in Logistics Industry.
Preview |
PDF
MPRA_paper_86894.pdf Download (387kB) | Preview |
Abstract
The transportation and logistics industry believe to be one of important sector that may influence the economy in United Kingdom. Due to the question for the growth in the industry, the paper was conducted to study the internal/external factors that influence the performance of the company. The paper would answer the objective question i.) To identify the variable that influence the performance; ii.) To analyze the performance which influenced by the risk. The quantitative method of research would analyze the 5 years annual report from 2013-2017 for Easy Jet plc. The stock price changes within the 5 years would be collected as well. The analysis would be carry out by using SPSS Stepwise regression method. The correlation results showed the credit risk had the negative relationship with the company performance while the coefficient showed the operating margin give the impact to the profitability ratio.
Item Type: | MPRA Paper |
---|---|
Original Title: | The Influence of Corporate Governance to the Firm Performance in Logistics Industry |
English Title: | The Influence of Corporate Governance to the Firm Performance in Logistics Industry |
Language: | English |
Keywords: | Profitability, Credit Risk, Liquidity, Macroeconomic, Corporate Governance |
Subjects: | G - Financial Economics > G3 - Corporate Finance and Governance G - Financial Economics > G3 - Corporate Finance and Governance > G32 - Financing Policy ; Financial Risk and Risk Management ; Capital and Ownership Structure ; Value of Firms ; Goodwill |
Item ID: | 86894 |
Depositing User: | researcher Yi Lin Tan |
Date Deposited: | 22 May 2018 01:25 |
Last Modified: | 01 Oct 2019 18:09 |
References: | Atiya, A. F. (2001). Bankruptcy prediction for credit risk using neural networks: A survey and new results. IEEE Transactions on neural networks, 12(4), 929-935. Basel Committee on Banking Supervision (BCBS)(2006). Basel II: International Convergence of Capital Measurement and Capital Standards: A Revised Framework - Comprehensive Version. Retrieved from http://www.bis.org/publ/bcbs128.htm Bielecki, T. R., & Rutkowski, M. (2013). Credit risk: modeling, valuation and hedging. Springer Science & Business Media. Collis, J., & Jarvis, R. (2000). Financial Information: The Vital Spark in Small Enterprise Management. In NATIONAL SMALL FIRMS POLICY AND RESEARCH CONFERENCE, 1,101-126 Daft, R. L., Sormunen, J., & Parks, D. (1988). Chief executive scanning, environmental characteristics, and company performance: An empirical study. Strategic management journal, 9(2), 123-139. Dowd, K. (2007). Measuring market risk. John Wiley & Sons. Elyasiani, E., & Zhang, L. (2015). Bank holding company performance, risk, and “busy” board of directors. Journal of Banking & Finance, 60, 239-251. Gompers, P., Ishii, J., & Metrick, A. (2003). Corporate governance and equity prices. The quarterly journal of economics, 118(1), 107-156. Harford, J., Mansi, S. A., & Maxwell, W. F. (2008). Corporate governance and firm cash holdings in the US$. Journal of Financial Economics, 87, 535-555. Hendricks, D., & Hirtle, B. (1997). Bank Capital Requirements for Market Risk: The Internal Models Approach. Federal Reserve Bank of New York Economic Policy Review, 3(4), 1. Maaka, Z. A. (2013). The relationship between liquidity risk and financial performance of commercial banks in Kenya. Unpublished MBA Project, 25-27. Panjer, H. H. (2006). Operational risk: modeling analytics (Vol. 620). John Wiley & Sons. Samad-Khan, A. (2008). Modern operational risk management. Emphasis, 2, 26-29. Waemustafa, W., & Sukri, S. (2016). Systematic and Unsystematic Risk Determinants of Liquidity Risk Between Islamic and Conventional Banks. International Journal of Economics and Financial Issues, 6(4), 1321-1327. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/86894 |