IDEAS home Printed from https://ideas.repec.org/p/hhs/lunewp/2002_013.html
   My bibliography  Save this paper

Is UK Risky Money Weakly Separable? A Stochastic Approach

Author

Listed:
  • Binner, Jane

    () (Sheffield University)

  • Elger, Thomas

    (Department of Economics, Lund University)

  • de Peretti, Philipe

    (Université de Paris 1)

Abstract

Using non-parametric weak separability tests that are extended to allow for measurement errors in the data, a broad group of UK monetary assets is found to be weakly separable from consumer goods and leisure over the larger part of the nineties. Financial innovations have made assets with substantial interest rate risk (e.g. unit trusts) more liquid and recent developments in monetary aggregation theory dealt with risk and risk aversion in the calculation of user costs. It is, however, not possible to find any weakly separable group of assets that contains ‘risky’ assets in the current sample.

Suggested Citation

  • Binner, Jane & Elger, Thomas & de Peretti, Philipe, 2002. "Is UK Risky Money Weakly Separable? A Stochastic Approach," Working Papers 2002:13, Lund University, Department of Economics.
  • Handle: RePEc:hhs:lunewp:2002_013
    as

    Download full text from publisher

    File URL: http://project.nek.lu.se/publications/workpap/Papers/WP02_13.pdf
    Download Restriction: no

    References listed on IDEAS

    as
    1. Mehra, Rajnish & Prescott, Edward C., 1985. "The equity premium: A puzzle," Journal of Monetary Economics, Elsevier, vol. 15(2), pages 145-161, March.
    2. Varian, Hal R, 1982. "The Nonparametric Approach to Demand Analysis," Econometrica, Econometric Society, vol. 50(4), pages 945-973, July.
    3. Poterba, James M & Summers, Lawrence H, 1986. "The Persistence of Volatility and Stock Market Fluctuations," American Economic Review, American Economic Association, vol. 76(5), pages 1142-1151, December.
    4. James M. Poterba & Julio J. Rotemberg, 1986. "Money in the Utility Function: An Empirical Implementation," Working papers 408, Massachusetts Institute of Technology (MIT), Department of Economics.
    5. Andrew W. Lo, A. Craig MacKinlay, 1988. "Stock Market Prices do not Follow Random Walks: Evidence from a Simple Specification Test," Review of Financial Studies, Society for Financial Studies, vol. 1(1), pages 41-66.
    6. Leigh Drake, 1997. "Nonparametric Demand Analysis Of U.K. Personal Sector Decisions On Consumption, Leisure, And Monetary Assets: A Reappraisal," The Review of Economics and Statistics, MIT Press, vol. 79(4), pages 679-683, November.
    7. William A. Barnett & Yi Liu, 1996. "The CAPM-Extended Divisia Monetary Aggregate with Exact Tracking under Risk," Finance 9602001, EconWPA.
    8. Paul Fisher & Suzanne Hudson & Mahmood Pradhan, 1993. "Divisia Indices for Money: An Appraisal of Theory and Practice," Bank of England working papers 9, Bank of England.
    9. William A. Barnett & Yi Liu, 1996. "Beyond the Risk Neutral Utility Function," Macroeconomics 9602001, EconWPA.
    10. William A. Barnett & Melvin J. Hinich & Piyu Yue, 2011. "The Exact Theoretical Rational Expectations Monetary Aggregate," World Scientific Book Chapters,in: Financial Aggregation And Index Number Theory, chapter 2, pages 53-84 World Scientific Publishing Co. Pte. Ltd..
    11. Barnett, William A & Kirova, Milka & Pasupathy, Meenakshi, 1995. "Estimating Policy-Invariant Deep Parameters in the Financial Sector When Risk and Growth Matter," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 27(4), pages 1402-1429, November.
    12. Drake, L. & Mullineux, A. & Agung, J., 1998. "Incorporating Riskt Assets in Divita Monetary Aggregates," Discussion Papers 98-25, Department of Economics, University of Birmingham.
    13. Patterson, Kerry D, 1991. "A Non-parametric Analysis of Personal Sector Decisions on Consumption, Liquid Assets and Leisure," Economic Journal, Royal Economic Society, vol. 101(408), pages 1103-1116, September.
    14. Drake, Leigh & Chrystal, K Alec, 1997. "Personal Sector Money Demand in the UK," Oxford Economic Papers, Oxford University Press, vol. 49(2), pages 188-206, April.
    15. Hal R. Varian, 1983. "Non-parametric Tests of Consumer Behaviour," Review of Economic Studies, Oxford University Press, vol. 50(1), pages 99-110.
    16. Fisher, Douglas & Fleissig, Adrian R, 1997. "Monetary Aggregation and the Demand for Assets," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 29(4), pages 458-475, November.
    17. Barnett, William A & Choi, Seungmook, 1989. "A Monte Carlo Study of Tests of Blockwise Weak Separability," Journal of Business & Economic Statistics, American Statistical Association, vol. 7(3), pages 363-377, July.
    18. Binner, Jane & Elger, Thomas, 2002. "The UK Personal Sector Demand for Risky Money," Working Papers 2002:9, Lund University, Department of Economics.
    19. Drake, Leigh & Fleissig, Adrian R & Mullineux, Andy, 1999. "Are "Risky Assets" Substitutes for "Monetary Assets"?," Economic Inquiry, Western Economic Association International, vol. 37(3), pages 510-526, July.
    20. Spencer, Peter, 1997. "Monetary integration and currency substitution in the EMS: The case for a European monetary aggregate," European Economic Review, Elsevier, vol. 41(7), pages 1403-1419, July.
    21. William A. Barnett, 1979. "Theoretical Foundations for the Rotterdam Model," Review of Economic Studies, Oxford University Press, vol. 46(1), pages 109-130.
    22. Martin Feldstein & James H. Stock, 1994. "The Use of a Monetary Aggregate to Target Nominal GDP," NBER Chapters,in: Monetary Policy, pages 7-69 National Bureau of Economic Research, Inc.
    23. Varian, Hal R., 1985. "Non-parametric analysis of optimizing behavior with measurement error," Journal of Econometrics, Elsevier, vol. 30(1-2), pages 445-458.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Elger, Thomas, 2002. "The Demand for Monetary Assets in the UK; a Locally Flexible Demand System Analysis," Working Papers 2002:6, Lund University, Department of Economics.

    More about this item

    Keywords

    Monetary Aggregation; Weak Separability; Risk;

    JEL classification:

    • C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation
    • D11 - Microeconomics - - Household Behavior - - - Consumer Economics: Theory
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • E41 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Demand for Money

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hhs:lunewp:2002_013. 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: (David Edgerton). General contact details of provider: http://edirc.repec.org/data/delunse.html .

    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 CitEc recognized a reference but did not link an item in RePEc 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 RePEc Author Service 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.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.