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On user costs of risky monetary assets

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  • William A. Barnett

    ()

  • Shu Wu

    ()

Abstract

We extend the monetary-asset user-cost risk adjustment of Barnett, Liu and Jensen (1997) and their risk-adjusted Divisia monetary aggregates to the case of multiple non-monetary assets and intertemporal non-separability. Our model can generate potentially larger and more accurate CCAPM user-cost risk adjustments than those found in Barnett, Liu and Jensen (1997). We show that the risk adjustment to a monetary asset’s user cost can be measured easily by its beta. We show that any risky non-monetary asset can be used as the benchmark asset, if its rate of return is adjusted in accordance with our formula. These extensions could be especially useful, when own rates of return are subject to exchange rate risk, as in Barnett (2003). Copyright Springer-Verlag Berlin Heidelberg 2005

Suggested Citation

  • William A. Barnett & Shu Wu, 2005. "On user costs of risky monetary assets," Annals of Finance, Springer, vol. 1(1), pages 35-50, January.
  • Handle: RePEc:kap:annfin:v:1:y:2005:i:1:p:35-50
    DOI: 10.1007/s10436-004-0003-6
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    References listed on IDEAS

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    Cited by:

    1. William A. Barnett & Unja Chae & John W. Keating, 2011. "The Discounted Economic Stock of Money with VAR Forecasting," World Scientific Book Chapters,in: Financial Aggregation And Index Number Theory, chapter 4, pages 107-150 World Scientific Publishing Co. Pte. Ltd..
    2. William A. Barnett & Marcelle Chauvet & Heather L. R. Tierney, 2011. "Measurement Error in Monetary Aggregates: A Markov Switching Factor Approach," World Scientific Book Chapters,in: Financial Aggregation And Index Number Theory, chapter 7, pages 207-249 World Scientific Publishing Co. Pte. Ltd..
    3. William A. Barnett & Chang Ho Kwag, 2011. "Exchange Rate Determination from Monetary Fundamentals: An Aggregation Theoretic Approach," World Scientific Book Chapters,in: Financial Aggregation And Index Number Theory, chapter 5, pages 151-166 World Scientific Publishing Co. Pte. Ltd..
    4. William Barnett & Jinan Liu, 2017. "User Cost of Credit Card Services under Risk with Intertemporal Nonseparability," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 201705, University of Kansas, Department of Economics, revised Sep 2017.
    5. repec:ebl:ecbull:v:5:y:2004:i:13:p:1-9 is not listed on IDEAS
    6. William A. Barnett, 2011. "Multilateral Aggregation-Theoretic Monetary Aggregation over Heterogeneous Countries," World Scientific Book Chapters,in: Financial Aggregation And Index Number Theory, chapter 6, pages 167-206 World Scientific Publishing Co. Pte. Ltd..
    7. Elger, Thomas & Jones, Barry E. & Nilsson, Birger, 2006. "Forecasting with Monetary Aggregates: Recent Evidence for the United States," Journal of Economics and Business, Elsevier, vol. 58(5-6), pages 428-446.
    8. Richard G. Anderson & Jason J. Buol, 2005. "Revisions to user costs for the Federal Reserve Bank of St. Louis monetary services indices," Review, Federal Reserve Bank of St. Louis, issue Nov, pages 735-750.
    9. William Barnett & Marcelle Chauvet & Danilo Leiva-Leon & Liting Su, 2016. "The Credit-Card-Services Augmented Divisia Monetary Aggregates," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 201604, University of Kansas, Department of Economics, revised Aug 2016.
    10. Barnett, William A. & Chauvet, Marcelle, 2008. "The End of the Great Moderation: “We told you so.”," MPRA Paper 11642, University Library of Munich, Germany.
    11. James J. Heckman & Apostolos Serletis, "undated". "Introduction to Internally Consistent Modeling, Aggregation, Inference, and Policy," Working Papers 2014-73, Department of Economics, University of Calgary, revised 29 Sep 2014.
    12. Barnett, William & Chauvet, Marcelle & Leiva-Leon, Danilo & Su, Liting, 2016. "Nowcasting nominal gdp with the credit-card augmented Divisia monetary aggregates," MPRA Paper 73246, University Library of Munich, Germany.
    13. repec:wsi:gjexxx:v:01:y:2012:i:01:n:s225136121250005x is not listed on IDEAS
    14. William A. Barnett & Marcelle Chauvet, 2011. "International Financial Aggregation and Index Number Theory: A Chronological Half-Century Empirical Overview," World Scientific Book Chapters,in: Financial Aggregation And Index Number Theory, chapter 1, pages 1-51 World Scientific Publishing Co. Pte. Ltd..
    15. William Barnett & Shu Wu, 2004. "Intertemporally non-separable monetary-asset risk adjustment and aggregation," Economics Bulletin, AccessEcon, vol. 5(13), pages 1-9.
    16. Barnett, William A. & Chauvet, Marcelle, 2011. "How better monetary statistics could have signaled the financial crisis," Journal of Econometrics, Elsevier, vol. 161(1), pages 6-23, March.
    17. Barnett, William & Su, Liting, 2016. "Risk adjustment of the credit-card augmented Divisia monetary aggregates," MPRA Paper 73248, University Library of Munich, Germany.
    18. William, Barnett & Qing, Han & Jianbo, Zhang, 2018. "Monetary Services Aggregation under Uncertainty: A Behavioral Economics Extension Using Choquet Expectation," MPRA Paper 88261, University Library of Munich, Germany.
    19. William A Barnett & Unja Chae & John W Keating, 2012. "Forecast Design In Monetary Capital Stock Measurement," Global Journal of Economics (GJE), World Scientific Publishing Co. Pte. Ltd., vol. 1(01), pages 1-53.
    20. , & Diewert, Erwin, 2014. "The Treatment of Financial Transactions in the SNA: A User Cost Approach," Economics working papers erwin_diewert-2014-8, Vancouver School of Economics, revised 20 Feb 2014.
    21. Binner, J.M. & Tino, P. & Tepper, J. & Anderson, R. & Jones, B. & Kendall, G., 2010. "Does money matter in inflation forecasting?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(21), pages 4793-4808.
    22. Travis D. Nesmith, 2005. "Solving stochastic money-in-the-utility-function models," Finance and Economics Discussion Series 2005-52, Board of Governors of the Federal Reserve System (U.S.).

    More about this item

    Keywords

    User costs; Monetary aggregation; Risk; Pricing kernel; CAPM; E41; G12; C43; C22;

    JEL classification:

    • E41 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Demand for Money
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes

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