<p>The <strong>Sharpe Ratio</strong> is a risk‑adjusted return metric that measures how much excess return an investment generates for each unit of risk taken. Developed by Nobel laureate William F. Sharpe, it quantifies the reward per unit of volatility, allowing investors to compare the performance of different portfolios or strategies on a common basis.</p>

<h2>How It Works</h2>
<p>The Sharpe Ratio is calculated by subtracting the risk‑free rate from the portfolio’s return and dividing the result by the portfolio’s standard deviation of returns:</p>
<ul>
<li><strong>Excess Return</strong> = Portfolio Return – Risk‑Free Rate (often the yield on short‑term government bonds).</li>
<li><strong>Risk (Volatility)</strong> = Standard deviation of the portfolio’s excess returns, typically expressed on an annual basis.</li>
<li><strong>Sharpe Ratio</strong> = Excess Return ÷ Risk.</li>
</ul>
<p>A higher Sharpe Ratio indicates more return per unit of risk. Ratios above 1.0 are generally considered attractive, while values below 0.5 suggest poor risk‑adjusted performance. The metric assumes returns are normally distributed and that risk is adequately captured by standard deviation.</p>

<h2>Why It Matters</h2>
<p>The Sharpe Ratio helps investors answer a fundamental question: Is the extra return worth the additional risk? By standardizing performance, it enables direct comparison across disparate assets, strategies, or fund managers.</p>
<p>For example, two mutual funds may each deliver an 8 % annual return, but Fund A has a standard deviation of 10 % while Fund B’s volatility is 20 %. Assuming a 2 % risk‑free rate, Fund A’s Sharpe Ratio is (8‑2)/10 = 0.6, whereas Fund B’s is (8‑2)/20 = 0.3. Despite identical raw returns, Fund A offers superior risk‑adjusted performance, making it the preferable choice for risk‑conscious investors.</p>
<p>Beyond fund selection, the Sharpe Ratio is used in portfolio optimization, performance attribution, and risk budgeting, providing a concise, quantitative tool for assessing the efficiency of investment decisions.</p>