Portfolio Risk, Diversification, and Beta
Portfolio risk encompasses two main components: systematic risk, which affects the entire market, and unsystematic risk, which is asset-specific.
Summary
Portfolio risk encompasses two main components: systematic risk, which affects the entire market, and unsystematic risk, which is asset-specific. Effective risk management involves diversification-spreading investments across assets with low or negative correlations to minimize unsystematic risk. The variance of a two-asset portfolio is calculated by considering weights, individual variances, and their covariance: . Beta () measures an asset's sensitivity to market movements, calculated as . A portfolio's beta is the weighted sum of its assets' betas: . While diversification reduces unsystematic risk, systematic risk remains and is captured by beta, for which investors demand compensation. Understanding these concepts is critical for accountants advising on asset allocation, financial stability, cost of capital, and aligning investments with client risk tolerance.
🧠 Key Concepts
- Portfolio Risk
- Systematic Risk
- Unsystematic Risk
- Diversification
- Portfolio Variance
- Covariance
- Beta
- Market Risk
- Asset Allocation
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Portfolio Risk, Diversification, and Beta in Accountancy
📘 Overview Portfolio risk refers to the variability of returns on a combined set of assets. Diversification reduces risk by spreading investments across different assets. Beta measures a portfolio's sensitivity to market movements, indicating systematic risk relevant for investment decisions.
🧠 Key Idea Effective portfolio management balances risk and return by diversifying assets to minimize unsystematic risk and using beta to assess and manage systematic risk linked to market fluctuations.
⚔️ Core Details: - Portfolio risk consists of systematic risk (market-wide) and unsystematic risk (asset-specific). - Diversification reduces unsystematic risk by combining assets with low or negative correlations. - The risk of a two-asset portfolio is computed using variance and covariance:
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