Assessing the Predictive Power of Customer Satisfaction for Financial and Market Performances: Price-to-Earnings Ratio is a Better Predictor Overall
AbstractOur paper shows that based on the RMSE criteria, Price-to-Earnings ratio is a better predictor of financial and market performances of the firm than the Customer Satisfaction index (CS). This conclusion is based on the choice of five financial and seven market indicators that we consider as proxies for financial and market performances with a sample comprising eighty-six companies: Book value, dividend yield, Gross Profit Margin, Price to Cash-Flows, Price-to-Earnings, Price to Sales, Annual return, ROA, ROE, ROI, Volatility and Tobin’s Q. However, CS clearly outperforms our five benchmarks (Tobin’s Q, Price-to-Cash Flows, Price-to-Earnings, Volatility or the indicator itself) when forecasting Tobin’s Q, Volatility, ROE and ROI. In periods of volatile market such as year 2008, CS is a more stable predictor of Volatility or ROE than the indicators themselves (i.e. Volatility for Volatility, ROE for ROE).
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoArticle provided by Econjournals in its journal International Review of Management and Marketing.
Volume (Year): 2 (2012)
Issue (Month): 1 ()
Contact details of provider:
Web page: http://www.econjournals.com
Customer satisfaction; Financial performance; Market performance; Price-to-Earnings; Financial ratio; Market ratio;
Find related papers by JEL classification:
- C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
- C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
- M31 - Business Administration and Business Economics; Marketing; Accounting - - Marketing and Advertising - - - Marketing
- M41 - Business Administration and Business Economics; Marketing; Accounting - - Accounting - - - Accounting
- G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Robert Jacobson & Natalie Mizik, 2009. "The Financial Markets and Customer Satisfaction: Reexamining Possible Financial Market Mispricing of Customer Satisfaction," Marketing Science, INFORMS, vol. 28(5), pages 810-819, 09-10.
- Mark Rubinstein, 2002. "Markowitz's "Portfolio Selection": A Fifty-Year Retrospective," Journal of Finance, American Finance Association, vol. 57(3), pages 1041-1045, 06.
- Eugene W. Anderson & Mary W. Sullivan, 1993. "The Antecedents and Consequences of Customer Satisfaction for Firms," Marketing Science, INFORMS, vol. 12(2), pages 125-143.
- Bollerslev, Tim, 1986.
"Generalized autoregressive conditional heteroskedasticity,"
Journal of Econometrics,
Elsevier, vol. 31(3), pages 307-327, April.
- Tim Bollerslev, 1986. "Generalized autoregressive conditional heteroskedasticity," EERI Research Paper Series EERI RP 1986/01, Economics and Econometrics Research Institute (EERI), Brussels.
- Robert Jacobson, 1990. "Unobservable Effects and Business Performance," Marketing Science, INFORMS, vol. 9(1), pages 74-85.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Ilhan Ozturk).
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.