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Minimum-variance kernels, economic risk premia, and tests of multi-beta models

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  • Pierluigi Balduzzi
  • Cesare Robotti

Abstract

This paper uses minimum-variance (MV) admissible kernels to estimate risk premia associated with economic risk variables and to test multi-beta models. Estimating risk premia using MV kernels is appealing because it avoids the need to 1) identify all relevant sources of risk and 2) assume a linear factor model for asset returns. Testing multi-beta models in terms of restricted MV kernels has the advantage that 1) the candidate kernel has the smallest volatility and 2) test statistics are easy to interpret in terms of Sharpe ratios. The authors find that several economic variables command significant risk premia and that the signs of the premia mostly correspond to the effect that these variables have on the risk-return trade-off, consistent with the implications of the intertemporal capital asset pricing model (I-CAPM). They also find that the MV kernel implied by the I-CAPM, while formally rejected by the data, consistently outperforms a pricing kernel based on the size and book-to-market factors of Fama and French (1993).

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Bibliographic Info

Paper provided by Federal Reserve Bank of Atlanta in its series Working Paper with number 2001-24.

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Date of creation: 2001
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Handle: RePEc:fip:fedawp:2001-24

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Keywords: Risk ; Asset pricing ; Econometric models;

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References

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  8. Roon, F.A. de & Nijman, T.E., 1998. "Testing for mean-variance spanning: A survey," Discussion Paper 1998-132, Tilburg University, Center for Economic Research.
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  16. Dumas, Bernard & Solnik, Bruno, 1995. " The World Price of Foreign Exchange Risk," Journal of Finance, American Finance Association, vol. 50(2), pages 445-79, June.
  17. Hansen, Lars Peter & Richard, Scott F, 1987. "The Role of Conditioning Information in Deducing Testable," Econometrica, Econometric Society, vol. 55(3), pages 587-613, May.
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Cited by:
  1. Lorenzo Cappiello & Nikolaos Panigirtzoglou, 2008. "Estimates of foreign exchange risk premia: a pricing kernel approach," Empirical Economics, Springer, vol. 35(3), pages 475-495, November.
  2. Balduzzi, Pierluigi & Robotti, Cesare, 2008. "Mimicking Portfolios, Economic Risk Premia, and Tests of Multi-Beta Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 26, pages 354-368.
  3. Cesare Robotti, 2001. "The price of inflation and foreign exchange risk in international equity markets," Working Paper 2001-26, Federal Reserve Bank of Atlanta.

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