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      finfund › ความรู้ › Portfolio Theory & Risk Management

      Portfolio Theory & Risk Management

      📊 Modern Portfolio Theory (MPT)

      Markowitz won the Nobel Prize for this concept in 1990. The core idea: "diversify to reduce risk without reducing returns." The key is to choose assets that are not correlated — when one falls, another may rise or stay flat.

      📈 Efficient Frontier

      A graph showing "most efficient" portfolios — the highest possible return for each level of risk. Portfolios below this line are "inefficient" (same risk, lower returns).

      🔀 Diversification

      "Don't put all your eggs in one basket" — the most basic rule, but many get it wrong:

      • Asset class diversification: stocks + bonds + gold + real estate
      • Geographic diversification: Thailand + US + emerging markets
      • Sector diversification: tech + banking + energy + tourism
      • Time diversification: DCA monthly, not a single lump sum

      ⚠️ Diworsification: over-diversifying = high fees but market-average returns. 10-20 assets is enough.

      🎲 Risk Measurement

      • Standard Deviation (σ) — measures volatility; higher = riskier
      • Beta (β) — vs. the overall market; β=1 matches market, β>1 is more volatile
      • Sharpe Ratio — return per unit of risk = (Return − Risk-free rate) ÷ σ; higher is better
      • Maximum Drawdown — deepest drop from peak; measures real "pain"

      ⚖️ Asset Allocation

      Asset allocation determines 90% of returns (Brinson study) — more important than stock picking. Popular rules of thumb:

      • Rule of 110 minus age: equity % = 110 − your age (e.g. age 30 = 80% stocks)
      • Rule of 100 minus age: classic version (age 30 = 70% stocks)
      • 60/40: 60% stocks, 40% bonds (classic)
      • All-Weather (Ray Dalio): 30% stocks, 55% bonds, 15% gold/commodities

      🎯 Kelly Criterion

      A formula for optimal position sizing when you have an edge:

      Kelly % = W − (L ÷ W)

      Where W = win rate, L = loss rate. Example: win 60%, gain 2x when winning, lose 1x when losing → Kelly = 0.6 − (0.4 ÷ 2) = 0.4 = invest 40% of portfolio. But real investors use Half-Kelly for safety.

      📉 Value at Risk (VaR)

      Measures the "maximum expected loss" at a 95% confidence level over a period. Example: "95% chance the portfolio won't lose more than 50,000 baht in a month."

      🔄 Rebalancing

      When asset allocation drifts from target (e.g. stocks grew to 80% from a 60% target) — sell the excess, buy what's below target. Do every 6-12 months, or when drift exceeds 5%.

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