Cross comparison and modelling of Goldman Sachs, Morgan Stanley, JPMorgan Chase, Bank of America, and Franklin Resources
We have studied statistical characteristics of five share price time series. For each stock price, we estimated a best fit quantitative model for the monthly closing price as based on the decomposition into two defining consumer price indices selected from a large set of CPIs. It was found that there are two pairs of similar models (Bank of America/Morgan Stanley and Goldman Sachs/JPMorgan Chase) with a standalone model for Franklin Resources. From each pair, one can choose the company with the highest return depending on the future evolution of defining CPIs.
|Date of creation:||05 Dec 2012|
|Date of revision:|
|Contact details of provider:|| Postal: Ludwigstraße 33, D-80539 Munich, Germany|
Web page: https://mpra.ub.uni-muenchen.de
More information through EDIRC
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.:
- Kitov, Ivan & Kitov, Oleg, 2008.
"Long-term linear trends in consumer price indices,"
6900, University Library of Munich, Germany.
- Ivan O. Kitov, 2010.
"Modelling Share Prices of Banks and Bankrupts,"
Theoretical and Practical Research in Economic Fields,
ASERS Publishing, vol. 0(1), pages 59-85, June.
- Kitov, Ivan, 2009. "ConocoPhillips and Exxon Mobil stock price," MPRA Paper 15334, University Library of Munich, Germany.
When requesting a correction, please mention this item's handle: RePEc:pra:mprapa:43099. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Joachim Winter)
If references are entirely missing, you can add them using this form.