NIFTY 5022,500125.30(0.56%)
SENSEX74,200412.50(0.56%)
BANK NIFTY48,300210.40(0.43%)
TATA MOTORS780.0012.45(1.62%)
INFOSYS1,520.0018.20(1.18%)
WIPRO475.005.60(1.19%)
RELIANCE2,890.0034.50(1.21%)
TCS3,650.0028.10(0.76%)
HDFC BANK1,580.0015.20(0.97%)
ICICI BANK1,120.008.90(0.80%)
SBI820.005.30(0.64%)
BHARTI AIRTEL1,650.0022.80(1.40%)
HUL2,380.0012.40(0.52%)
ITC445.003.20(0.72%)
KOTAK BANK1,780.0014.60(0.83%)
LT3,420.0045.20(1.30%)
AXIS BANK1,080.009.50(0.89%)
BAJAJ FINANCE7,200.0085.40(1.20%)
MARUTI12,400150.00(1.19%)
ASIAN PAINTS2,850.0018.90(0.67%)
HCLTECH1,420.0016.30(1.14%)
TITAN3,250.0042.60(1.33%)
ADANI PORTS1,380.0022.40(1.60%)
POWER GRID310.004.80(1.57%)
NTPC365.006.20(1.73%)
SUNPHARMA1,680.008.50(0.50%)
NIFTY 5022,500125.30(0.56%)
SENSEX74,200412.50(0.56%)
BANK NIFTY48,300210.40(0.43%)
TATA MOTORS780.0012.45(1.62%)
INFOSYS1,520.0018.20(1.18%)
WIPRO475.005.60(1.19%)
RELIANCE2,890.0034.50(1.21%)
TCS3,650.0028.10(0.76%)
HDFC BANK1,580.0015.20(0.97%)
ICICI BANK1,120.008.90(0.80%)
SBI820.005.30(0.64%)
BHARTI AIRTEL1,650.0022.80(1.40%)
HUL2,380.0012.40(0.52%)
ITC445.003.20(0.72%)
KOTAK BANK1,780.0014.60(0.83%)
LT3,420.0045.20(1.30%)
AXIS BANK1,080.009.50(0.89%)
BAJAJ FINANCE7,200.0085.40(1.20%)
MARUTI12,400150.00(1.19%)
ASIAN PAINTS2,850.0018.90(0.67%)
HCLTECH1,420.0016.30(1.14%)
TITAN3,250.0042.60(1.33%)
ADANI PORTS1,380.0022.40(1.60%)
POWER GRID310.004.80(1.57%)
NTPC365.006.20(1.73%)
SUNPHARMA1,680.008.50(0.50%)
NIFTY 5022,500125.30(0.56%)
SENSEX74,200412.50(0.56%)
BANK NIFTY48,300210.40(0.43%)
TATA MOTORS780.0012.45(1.62%)
INFOSYS1,520.0018.20(1.18%)
WIPRO475.005.60(1.19%)
RELIANCE2,890.0034.50(1.21%)
TCS3,650.0028.10(0.76%)
HDFC BANK1,580.0015.20(0.97%)
ICICI BANK1,120.008.90(0.80%)
SBI820.005.30(0.64%)
BHARTI AIRTEL1,650.0022.80(1.40%)
HUL2,380.0012.40(0.52%)
ITC445.003.20(0.72%)
KOTAK BANK1,780.0014.60(0.83%)
LT3,420.0045.20(1.30%)
AXIS BANK1,080.009.50(0.89%)
BAJAJ FINANCE7,200.0085.40(1.20%)
MARUTI12,400150.00(1.19%)
ASIAN PAINTS2,850.0018.90(0.67%)
HCLTECH1,420.0016.30(1.14%)
TITAN3,250.0042.60(1.33%)
ADANI PORTS1,380.0022.40(1.60%)
POWER GRID310.004.80(1.57%)
NTPC365.006.20(1.73%)
SUNPHARMA1,680.008.50(0.50%)
NIFTY 5022,500125.30(0.56%)
SENSEX74,200412.50(0.56%)
BANK NIFTY48,300210.40(0.43%)
TATA MOTORS780.0012.45(1.62%)
INFOSYS1,520.0018.20(1.18%)
WIPRO475.005.60(1.19%)
RELIANCE2,890.0034.50(1.21%)
TCS3,650.0028.10(0.76%)
HDFC BANK1,580.0015.20(0.97%)
ICICI BANK1,120.008.90(0.80%)
SBI820.005.30(0.64%)
BHARTI AIRTEL1,650.0022.80(1.40%)
HUL2,380.0012.40(0.52%)
ITC445.003.20(0.72%)
KOTAK BANK1,780.0014.60(0.83%)
LT3,420.0045.20(1.30%)
AXIS BANK1,080.009.50(0.89%)
BAJAJ FINANCE7,200.0085.40(1.20%)
MARUTI12,400150.00(1.19%)
ASIAN PAINTS2,850.0018.90(0.67%)
HCLTECH1,420.0016.30(1.14%)
TITAN3,250.0042.60(1.33%)
ADANI PORTS1,380.0022.40(1.60%)
POWER GRID310.004.80(1.57%)
NTPC365.006.20(1.73%)
SUNPHARMA1,680.008.50(0.50%)
Topic 1 of 3~5 min read

Performance Attribution — Decomposing Manager Skill

Definition

PMS performance attribution decomposes total returns into stock selection (security-level alpha), sector allocation (over/underweight calls), and timing (entry/exit decisions vs benchmark). Disciplined attribution separates lucky streaks from durable skill, and identifies which alpha sources are repeatable versus circumstantial.

In Simple Words

Three-factor attribution. (a) Stock selection alpha: portfolio return minus benchmark return holding sector weights constant. Measures the manager's skill in picking stocks within each sector. (b) Sector allocation alpha: difference attributable to over/underweighting sectors vs benchmark. Measures the manager's top-down sector calls. (c) Timing alpha: difference attributable to entry/exit decisions (buying low, selling high relative to benchmark). Measures market-timing and execution skill. A skilled manager generates alpha across at least two of the three; a manager generating alpha only from one source has narrow skill that may not persist. Attribution discipline: review at year-end across the past 3-5 years. Look for consistency — managers showing positive stock-selection alpha in 4 of 5 years are more credible than those showing 80% alpha one year and -30% the next. The pattern of rolling 3-year attribution often surfaces concerns that headline returns hide.

Real-Life Scenario

A multi-cap PMS's 5-year attribution: stock selection +2.1% annualised (consistent across years), sector allocation +0.8% (variable, sometimes negative), timing -0.4% (negative — the manager is a poor market timer). Net alpha 2.5% before fees; fees absorb 3.5%; net-of-fee alpha is -1.0%. Attribution identifies that the manager's strength is bottom-up stock picking, but fees absorb the entire alpha. Recommendation: hold position, monitor for fee compression OR alpha widening; do not add to allocation.

Key Points to Remember

Three-factor attribution: stock selection, sector allocation, timing.
Skilled managers generate alpha across at least two factors.
Single-factor alpha may not persist — narrow skill warning.
Review across rolling 3-5 year periods, not single year.
Net-of-fee alpha (after subtracting fees) is the structural test.
Pattern matters: consistency > lucky-year peaks.
Trustner's framework includes annual attribution review per empanelled PMS.

Frequently Asked Questions

Test Your Knowledge

3 questions to check your understanding

Question 1 of 3Score: 0/0

A manager showing alpha only from timing across 5 years is:

Summary Notes

Three-factor attribution: stock selection, sector allocation, timing.

Net-of-fee alpha is the structural test, not gross headline returns.

Consistent multi-factor alpha > single-factor lucky year.

Trustner's framework reviews attribution annually per empanelled PMS.

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