Skip to main content

Markowitz with a Risk-Free Asset

  • Chapter
  • First Online:
Quantitative Portfolio Management

Abstract

In this chapter, a risk-free asset is added to the set of investable securities and the optimal portfolios are now derived in this augmented economy. One of the results obtained is that, in the risk/return analysis, the parameters (σ, m) of any investment portfolio lay either on or inside a certain cone \(\mathcal {C}(\sigma , m)\). The upper side of the cone represents the efficient investment portfolios and is called the Capital Market Line . We show that the portfolios on the Capital Market Line can be built as an allocation between the risk-free asset and a particular investment portfolio, made of risky assets only, called the Tangent Portfolio . The Tangent Portfolio appears to define the tangent point between the cone \(\mathcal {C}(\sigma , m)\) and the hyperbola \(\mathcal {F}(\sigma , m)\) delimiting the (σ, m) of all investment portfolios made of risky assets only. Based on some economic reasoning, the Tangent Portfolio is sometimes assimilated to the Market Portfolio, for which the investment in each asset is proportional to its relative market capitalisation. We also show in this chapter that the problem of optimal allocation can be segmented into two steps. First, the investor decides on the risk exposure he is ready to take, secondly, he calculates the allocation to the Tangent Portfolio which gives him this level of risk (the rest of the money being invested in the risk-free asset). This paradigm for investing is known as the Separation Theorem of James Tobin (Nobel Prize in Economics in 1981, see Tobin) and shows that whatever the risk appetite is, there is only one way to take risk exposure efficiently.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

eBook
USD 19.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 29.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 39.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Avramov, D., & Zhou, G., (2010). Bayesian portfolio analysis. The Annual Review of Financial Economics, 2, 25–47.

    Article  Google Scholar 

  2. Bauder, D., Bodnar, T., Parolya, N., & Schmid, W. (2018). Bayesian mean-variance analysis: Optimal portfolio selection under parameter uncertainty. arXiv:1803.03573v1 [q-fin.ST]. 9 March 2018.

    Google Scholar 

  3. Black, F., & Litterman, R. (1992). Global optimization. Financial Analysts Journal, 48(5), Sep/Oct 1992.

    Google Scholar 

  4. Sabanes Bove, D., & Held, L. (2014). Applied statistical inference. Heidelberg: Springer.

    MATH  Google Scholar 

  5. Tobin, J. (1958, February). Liquidity preference as behavior towards risk. Review of Economic Studies, XXV(2), 65–86, HB1R4.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Brugière, P. (2020). Markowitz with a Risk-Free Asset. In: Quantitative Portfolio Management . Springer Texts in Business and Economics. Springer, Cham. https://doi.org/10.1007/978-3-030-37740-3_5

Download citation

Publish with us

Policies and ethics