Skip to main content
← Back to P Definitions

Portfolio selection

LINK_POOL:

Anchor TextInternal Link
Modern Portfolio Theoryhttps://diversification.com/term/modern-portfolio-theory
asset allocationhttps://diversification.com/term/asset-allocation
risk tolerance
financial advisorhttps://diversification.com/term/financial-advisor
mutual fundshttps://diversification.com/term/mutual-funds
expected returnhttps://diversification.com/term/expected-return
risk-return tradeoff
diversificationhttps://diversification.com/term/diversification
investment strategyhttps://diversification.com/term/investment-strategy
efficient frontierhttps://diversification.com/term/efficient-frontier
capital asset pricing modelhttps://diversification.com/term/capital-asset-pricing-model
investment objectiveshttps://diversification.com/term/investment-objectives
historical datahttps://diversification.com/term/historical-data
portfolio optimizationhttps://diversification.com/term/portfolio-optimization
investment portfoliohttps://diversification.com/term/investment-portfolio

What Is Portfolio Selection?

Portfolio selection is the process of choosing the optimal combination of assets for an investment portfolio to meet an investor's specific financial goals and risk tolerance. It falls under the broader financial category of portfolio theory. This process involves evaluating various securities and their potential interactions to achieve a desired balance between risk and expected return. Effective portfolio selection aims to maximize returns for a given level of risk, or minimize risk for a target return, thereby optimizing the risk-return tradeoff.

History and Origin

The foundational concepts of portfolio selection were revolutionized by Harry Markowitz in his 1952 essay "Portfolio Selection," which later led to his Nobel Memorial Prize in Economic Sciences in 1990.35, 36, 37 Markowitz's work, known as Modern Portfolio Theory (MPT), provided a mathematical framework for understanding how diversification could reduce portfolio risk without sacrificing expected return.33, 34 Prior to MPT, many investors focused primarily on selecting individual stocks with the highest expected returns, often overlooking the impact of combining assets within a portfolio.32 Markowitz's insight was that the volatility of a portfolio depends not only on the volatility of its individual components but also on how those components move in relation to each other.31 His work laid the groundwork for modern financial economics and the development of subsequent theories, such as the Capital Asset Pricing Model (CAPM).30

Key Takeaways

  • Portfolio selection is the strategic process of constructing an optimal investment portfolio based on an investor's goals and risk appetite.
  • It primarily involves balancing risk and return to achieve the most efficient portfolio.
  • The work of Harry Markowitz and Modern Portfolio Theory provided the mathematical basis for systematic portfolio selection.
  • Effective portfolio selection emphasizes diversification across various asset classes.
  • Regulatory bodies like FINRA have rules in place to ensure investment recommendations are suitable for clients.

Formula and Calculation

Portfolio selection, particularly under Modern Portfolio Theory, involves quantitative methods to determine the optimal allocation. The core of MPT is calculating portfolio expected return and portfolio variance.

The expected return of a portfolio ((E(R_p))) is the weighted average of the expected returns of the individual assets within the portfolio:

E(Rp)=i=1nwiE(Ri)E(R_p) = \sum_{i=1}^{n} w_i E(R_i)

Where:

  • (E(R_p)) = Expected return of the portfolio
  • (w_i) = Weight (proportion) of asset (i) in the portfolio
  • (E(R_i)) = Expected return of asset (i)
  • (n) = Number of assets in the portfolio

The variance of a portfolio ((\sigma_p^2)), which quantifies its risk, considers the variances of individual assets and the covariances between all pairs of assets:

σp2=i=1nwi2σi2+i=1nj=1,ijnwiwjCov(Ri,Rj)\sigma_p^2 = \sum_{i=1}^{n} w_i^2 \sigma_i^2 + \sum_{i=1}^{n} \sum_{j=1, i \neq j}^{n} w_i w_j \text{Cov}(R_i, R_j)

Where:

  • (\sigma_p^2) = Variance of the portfolio
  • (w_i, w_j) = Weights of assets (i) and (j) in the portfolio
  • (\sigma_i^2) = Variance of asset (i)
  • (\text{Cov}(R_i, R_j)) = Covariance between the returns of asset (i) and asset (j)

This formula highlights that the interaction (covariance) between assets is crucial for determining overall portfolio risk. The goal of portfolio optimization is to find the weights (w_i) that either maximize (E(R_p)) for a given (\sigma_p2), or minimize (\sigma_p2) for a given (E(R_p)).

Interpreting the Portfolio Selection

Interpreting the results of portfolio selection involves understanding the trade-offs between risk and return, typically visualized through the efficient frontier. Each point on the efficient frontier represents a portfolio that offers the highest possible expected return for a given level of risk, or the lowest possible risk for a given expected return. Investors can then select a portfolio on this frontier that aligns with their personal investment objectives and comfort with risk.

For example, an investor with a high risk tolerance might choose a portfolio on the upper right side of the efficient frontier, indicating higher expected returns but also greater volatility. Conversely, a conservative investor might opt for a portfolio on the lower left, prioritizing lower risk even if it means lower expected returns. The interpretation also involves assessing whether the selected portfolio provides adequate diversification across different asset classes and securities to mitigate specific risks.

Hypothetical Example

Consider an investor, Sarah, who has $100,000 to invest and wants to build a diversified portfolio. After consulting with a financial advisor, they identify three potential asset classes: stocks, bonds, and real estate investment trusts (REITs).

  • Stocks: Expected annual return 10%, standard deviation 15%
  • Bonds: Expected annual return 4%, standard deviation 5%
  • REITs: Expected annual return 8%, standard deviation 12%

Sarah and her advisor decide to allocate 60% to stocks, 30% to bonds, and 10% to REITs.

Step 1: Calculate the expected portfolio return.

(E(R_p) = (0.60 \times 0.10) + (0.30 \times 0.04) + (0.10 \times 0.08))
(E(R_p) = 0.06 + 0.012 + 0.008)
(E(R_p) = 0.08) or 8%

Step 2: Calculate the portfolio variance (simplified, assuming certain correlations for illustrative purposes).
For simplicity, assume the covariance between stocks and bonds is 0.003, stocks and REITs is 0.008, and bonds and REITs is 0.002.

(\sigma_p^2 = (0.60^2 \times 0.15^2) + (0.30^2 \times 0.05^2) + (0.10^2 \times 0.12^2) + 2(0.60)(0.30)(0.003) + 2(0.60)(0.10)(0.008) + 2(0.30)(0.10)(0.002))
(\sigma_p^2 = (0.36 \times 0.0225) + (0.09 \times 0.0025) + (0.01 \times 0.0144) + 0.00108 + 0.00096 + 0.00012)
(\sigma_p^2 = 0.0081 + 0.000225 + 0.000144 + 0.00108 + 0.00096 + 0.00012)
(\sigma_p^2 = 0.010629)

The standard deviation (risk) would be (\sqrt{0.010629} \approx 0.1031) or 10.31%.

This portfolio selection process suggests that Sarah's chosen asset allocation could yield an expected annual return of 8% with an estimated risk (standard deviation) of 10.31%. Sarah can then compare this risk-return profile to her investment objectives and make an informed decision.

Practical Applications

Portfolio selection is a fundamental practice in investment management, applied across various financial sectors. Financial professionals, from individual financial advisors to large institutional investors, use portfolio selection to construct and manage investment portfolios for their clients.

One significant application is in the design and management of mutual funds. These funds pool money from numerous investors to invest in a diversified portfolio of securities. The fund manager engages in portfolio selection to meet the fund's stated investment objectives, as outlined in its prospectus.27, 28, 29 The U.S. Securities and Exchange Commission (SEC) provides guidance and regulations concerning mutual funds, emphasizing transparency and investor protection.22, 23, 24, 25, 26

Another practical application lies in wealth management, where advisors tailor portfolios to individual client needs, considering factors such as age, income, existing investments, and tax status. This is underscored by regulatory frameworks like FINRA Rule 2111, which mandates that broker-dealers have a reasonable basis to believe a recommended transaction or investment strategy is suitable for a customer based on their investment profile.17, 18, 19, 20, 21 This rule covers reasonable-basis suitability, customer-specific suitability, and quantitative suitability, all of which directly relate to the careful process of portfolio selection.12, 13, 14, 15, 16

Limitations and Criticisms

Despite its widespread adoption, Modern Portfolio Theory and its approach to portfolio selection have faced several criticisms. One primary limitation is its reliance on historical data to predict future returns, risks, and correlations. Critics argue that past performance is not necessarily indicative of future results, and market conditions can change dramatically and unexpectedly, rendering historical assumptions less reliable.9, 10, 11

Another common critique is that MPT uses variance or standard deviation as its sole measure of risk. This treats both upside volatility (positive deviations from the mean) and downside volatility (negative deviations) equally as risk. However, most investors are primarily concerned with downside risk – the potential for losses. Some alternative theories, such as Post-Modern Portfolio Theory, attempt to address this by focusing on minimizing downside risk instead of overall variance.

Furthermore, MPT assumes that investors are rational and risk-averse, always seeking to maximize return for a given risk level. I8n reality, behavioral finance research suggests that investors often exhibit irrational behaviors, such as chasing returns or making emotional decisions, which can lead to suboptimal portfolio choices. T6, 7he theory also assumes efficient markets, where all information is immediately reflected in asset prices, a premise that may not always hold true in practice. T4, 5hese limitations highlight the ongoing evolution of portfolio theory and the need for investors to consider a broader range of factors beyond purely quantitative models.

1, 2, 3## Portfolio Selection vs. Asset Allocation

While closely related and often used interchangeably, portfolio selection and asset allocation refer to distinct, albeit sequential, stages in the investment process.

Asset Allocation is the strategic decision of how to distribute an investment portfolio across various broad asset classes, such as stocks, bonds, real estate, and cash equivalents. It is a top-down approach that focuses on the overall risk and return characteristics of these broad categories. The asset allocation decision is largely driven by an investor's time horizon, risk tolerance, and financial goals. For example, an investor might decide on a 60% stock, 30% bond, and 10% cash allocation.

Portfolio Selection, on the other hand, is the subsequent, more granular process of choosing specific securities within those chosen asset classes. Once the asset allocation framework is established, portfolio selection involves identifying individual stocks, bonds, mutual funds, or exchange-traded funds (ETFs) that will make up the actual holdings within each allocated category. It involves analyzing individual securities for their expected returns, risks, and how they correlate with other securities to optimize the overall portfolio's performance given the pre-determined asset allocation. In essence, asset allocation defines the broad buckets, while portfolio selection fills those buckets with specific investments.

FAQs

What factors influence portfolio selection?

Key factors influencing portfolio selection include an investor's financial goals, investment horizon, risk tolerance, liquidity needs, and tax situation. Market conditions, economic outlook, and the correlation between different assets also play a significant role.

Why is diversification important in portfolio selection?

Diversification is crucial because it helps reduce risk by spreading investments across various asset classes, industries, and geographic regions. By combining assets that don't move in perfect lockstep, the negative performance of one investment can be offset by the positive performance of another, leading to a more stable investment portfolio over time.

Can I do portfolio selection myself, or do I need a professional?

While individuals can engage in basic portfolio selection, complex portfolio optimization and adherence to advanced investment strategy principles often benefit from the expertise of a professional financial advisor. Professionals can provide in-depth analysis, access to sophisticated tools, and help ensure compliance with regulatory requirements, such as those related to suitability.