Suppose Risk-free Rate Is 6% And The Expected Return Of The Risky Portfolio Is 12% With 0.25 Standard

Suppose Risk-free Rate Is 6% And The Expected Return Of The Risky Portfolio Is 12% With 0.25 Standard. This scenario provides a foundational context to explore key concepts in investment theory, particularly the risk-return trade-off, portfolio optimization, and the role of the Capital Asset Pricing Model (CAPM). By analyzing these figures, investors and financial professionals can better understand how to construct optimal portfolios, evaluate risk, and make informed investment decisions.

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Understanding the Basic Concepts: Risk-Free Rate, Expected Return, and Standard Deviation

The Risk-Free Rate

The risk-free rate represents the return on an investment with zero risk of financial loss, typically associated with government treasury securities such as U.S. Treasury bills. In our scenario, this rate is 6%. It serves as a baseline for evaluating other investments, indicating the minimum return an investor expects for taking no risk.

The Expected Return of a Risky Portfolio

The expected return (12%) of the risky portfolio reflects the average anticipated profit from investing in a diversified asset mix that involves some level of risk. This return accounts for the probability-weighted outcomes of various assets within the portfolio.

The Standard Deviation as a Measure of Risk

Standard deviation quantifies the volatility or risk associated with the portfolio’s returns. A standard deviation of 0.25 (or 25%) indicates the variability of returns around the expected value. Higher standard deviation implies greater risk, while lower standard deviation suggests more stability.

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Calculating the Risk-Return Ratio and the Sharpe Ratio

The Sharpe Ratio: Definition and Significance

The Sharpe ratio measures the excess return per unit of risk. It helps investors understand how well the return of an asset or portfolio compensates for its volatility. The formula is:

\[
\text{Sharpe Ratio} = \frac{E(Rp) - Rf}{\sigma_p}
\]

where:


  • \(E(R_p)\) = Expected return of the portfolio

  • \(R_f\) = Risk-free rate

  • \(\sigma_p\) = Standard deviation of the portfolio


Calculating the Sharpe Ratio for Our Portfolio


Plugging in the values:

\[
\text{Sharpe Ratio} = \frac{12\% - 6\%}{0.25} = \frac{6\%}{0.25} = 24
\]

A Sharpe ratio of 24 is exceptionally high, indicating that the portfolio offers a high excess return relative to its risk. In practice, typical Sharpe ratios range between 0 and 2, so this suggests an idealized or theoretical scenario.

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Constructing the Capital Market Line (CML)

The Capital Market Line Explained

The CML represents the risk-return trade-off for efficient portfolios that combine the risk-free asset and the market portfolio. Its equation is:

\[
E(Rp) = Rf + \left(\frac{E(Rm) - Rf}{\sigmam}\right) \sigmap
\]

where:


  • \(E(R_m)\) = Expected return of the market portfolio

  • \(\sigma_m\) = Standard deviation of the market portfolio


Implications of the Given Data


Using the Sharpe ratio calculated earlier, the slope of the CML (the market price of risk) is:

\[
\text{Slope} = \frac{E(Rm) - Rf}{\sigma_m} = 24
\]

Assuming the portfolio in question lies on the CML, it suggests that for every 1-unit increase in risk (standard deviation), the expected return increases by 24 percentage points.

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Optimal Portfolio Selection and the Role of the Risk-Return Trade-off

Efficient Portfolios and the Efficient Frontier

An efficient portfolio maximizes return for a given level of risk or minimizes risk for a given return. The set of all such portfolios forms the efficient frontier. The portfolio with the highest Sharpe ratio (as in our scenario) is considered optimal, lying on the tangency point between the efficient frontier and the Capital Market Line.

Implications for Investors

Given the high Sharpe ratio derived, an investor would find this portfolio highly attractive, assuming the figures are realistic. It signifies that the investor is compensated generously for the risk undertaken.

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Understanding the Risk-Return Trade-off in Practice

The Significance of the Risk-Free Asset

Combining a risk-free asset with risky assets allows investors to tailor their portfolios according to their risk tolerance. The Capital Market Line illustrates the best possible combinations, giving investors options from risk-averse (more in risk-free assets) to risk-tolerant (more in risky assets).

Portfolio Leverage and Its Effects

Investors can leverage their holdings by borrowing at the risk-free rate to invest more in the risky market portfolio, effectively moving beyond the individual risky portfolio's position on the efficient frontier. This can increase expected returns but also amplifies risk.

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Real-World Applications and Limitations

Practical Considerations

While theoretical models suggest extremely favorable risk-return ratios, real markets involve additional complexities:
  • Transaction costs
  • Taxes
  • Market imperfections
  • Changes in expected returns and volatility over time

Limitations of the Simplified Scenario

The figures used (expected return of 12%, standard deviation of 0.25) are idealized. In real-world investments:
  • The expected return may fluctuate
  • Standard deviations are estimated based on historical data
  • Risk-free rates vary over time
Investors should consider these factors and perform thorough analysis before adopting any strategy based solely on theoretical models.

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Conclusion: Making Informed Investment Decisions

The scenario where the risk-free rate is 6%, the risky portfolio has an expected return of 12%, and a standard deviation of 0.25 offers a compelling illustration of the fundamental trade-offs in investment management. It underscores the importance of risk-adjusted returns, as captured by the Sharpe ratio, and the utility of the Capital Market Line in constructing optimal portfolios. While these figures highlight the potential rewards of strategic diversification and leverage, investors must remain cognizant of market realities and uncertainties. Ultimately, understanding the interplay between risk and return enables investors to make informed choices aligned with their financial goals and risk appetite.

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In summary:


  • The risk-free rate provides a baseline for evaluating risky assets.

  • The expected return of 12% with a standard deviation of 0.25 indicates a high risk-adjusted return (Sharpe ratio of 24).

  • The Capital Market Line helps visualize optimal risk-return combinations.

  • Practical investing requires considering market imperfections and dynamic risk profiles.

  • Strategic use of the risk-return trade-off can enhance portfolio performance when applied thoughtfully.


By mastering these concepts, investors can better navigate the complexities of financial markets and optimize their portfolios for long-term success.

Frequently Asked Questions

What is the risk premium for the risky portfolio when the risk-free rate is 6% and the expected return is 12%?
The risk premium is 12% - 6% = 6%.
How is the Sharpe Ratio calculated for this portfolio with an expected return of 12%, risk-free rate of 6%, and standard deviation of 0.25?
Sharpe Ratio = (Expected Return - Risk-Free Rate) / Standard Deviation = (12% - 6%) / 0.25 = 6% / 0.25 = 24.
What does a standard deviation of 0.25 imply about the risk of the portfolio?
A standard deviation of 0.25 indicates relatively low volatility or risk in the portfolio's returns, assuming the units are consistent (e.g., 25%).
If an investor wants a higher risk-adjusted return, should they consider increasing or decreasing the portfolio's expected return?
They should aim to increase the expected return relative to the risk (standard deviation), which would improve the Sharpe Ratio and risk-adjusted return.
How does the risk-free rate influence the decision-making process when evaluating this risky portfolio?
The risk-free rate serves as a baseline; investors compare the portfolio's excess return over risk-free rate to assess its attractiveness relative to other investments or the risk-free asset.