SCIRP Mobile Website
Paper Submission

Why Us? >>

  • - Open Access
  • - Peer-reviewed
  • - Rapid publication
  • - Lifetime hosting
  • - Free indexing service
  • - Free promotion service
  • - More citations
  • - Search engine friendly

Free SCIRP Newsletters>>

Add your e-mail address to receive free newsletters from SCIRP.

 

Contact Us >>

WhatsApp  +86 18163351462(WhatsApp)
   
Paper Publishing WeChat
Book Publishing WeChat
(or Email:book@scirp.org)

Article citations

More>>

Kane, G.D., Velury, U. and Ruf, B.M. (2005) Employee Relations and the Likelihood of Occurrence of Corporate Financial Distress. Journal of Business Finance and Accounting, 32, 1083-1105.
https://doi.org/10.1111/j.0306-686X.2005.00623.x

has been cited by the following article:

  • TITLE: Understanding the Relationships between Environmental and Social Risk Factors and Financial Performance of Global Infrastructure Projects

    AUTHORS: Daniil Kiose, Steve Keen

    KEYWORDS: Environmental Risk, Social Risk, Infrastructure Bonds, Generalised Additive Models

    JOURNAL NAME: iBusiness, Vol.9 No.4, December 6, 2017

    ABSTRACT: This study analyses the link between environmental and social risk (ESR) factors and the risk-return profile of infrastructure bonds. We provide support for the hypothesis that credit standing of infrastructure bonds is associated with ESR factors. Considering these factors along with bond and issuer specific information we discovered that several environmental and social risk covariates are strongly related to 1) expected risk-return profile of infrastructure bonds; and 2) the balance of risk around the expectation. Thus along with traditional drivers of bond risks (e.g. time to maturity, base interest rate, etc.) we find that also CO2 emission and percentage of independent directors emerge as important predictors. This study benefits from thoroughly developed, justified and validated non-parametric regression model used to derive key insights into the research question. This work makes a methodological contribution by applying non-parametric modelling techniques to study the financial risk of infrastructure projects. Moreover, it provides bond investors as well as policy makers with the guidance on where to focus their attention.