Household's portfolio structure in Germany - analysis of financial accounts data 1959-2009
AbstractBased on a Financial Almost Ideal Demand System (FAIDS), this paper investigates the wealth structure of German households. The long-run wealth elasticities and interestrate elasticities were calculated using a unique new quarterly financial accounts macrodata set which covers the period from 1959 to 2009 and contains a portfolio of eight different financial assets. Descriptive analysis shows that all financial assets were characterized by substantial volatility of their weight in the portfolio of households. We found that portfolio shifts in the long run are determined significantly by changes in interest rates. The estimated model provides evidence that currency (and transferable deposits) is mainly a substitute for other assets and time deposits are typically a complement. Wealth elasticity is for most assets around unity. JEL Classification: E21, G11, C32
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 InfoPaper provided by European Central Bank in its series Working Paper Series with number 1355.
Date of creation: Jun 2011
Date of revision:
Contact details of provider:
Postal: Postfach 16 03 19, Frankfurt am Main, Germany
Phone: +49 69 1344 0
Fax: +49 69 1344 6000
Web page: http://www.ecb.europa.eu/home/html/index.en.html
More information through EDIRC
Postal: Press and Information Division, European Central Bank, Kaiserstrasse 29, 60311 Frankfurt am Main, Germany
Find related papers by JEL classification:
- E21 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Consumption; Saving; Wealth
- G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
- C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
This paper has been announced in the following NEP Reports:
You can help add them by filling out this form.
reading list or among the top items on IDEAS.Access and download statisticsgeneral 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: (Official Publications).
If references are entirely missing, you can add them using this form.