2.2.4 · Stock-Market › Funds, ETFs & Pooled Vehicles
Jab tum koi fund ya ETF khareedte ho, tum ek manager ko hire kar rahe ho jo tumhare liye stocks ka ek basket hold kare. Do khamosh forces decide karti hain ki tumhe actually woh mile jo index ne kamaya:
Expense ratio — wo yearly fee jo fund chupke se tumhare paison se kaatta rehta hai.
Tracking error — fund ka return us index se kitna idhar-udhar dolta hai jise woh copy karne ka waada karta hai.
Ek fund advertise kar sakta hai "hum NIFTY 50 follow karte hain" lekin phir bhi tumhe kam de sakta hai. Yeh do numbers batate hain kitna kam aur kitni reliability ke saath .
Expense ratio (ER) fund ki total annual operating cost hai jo fund ki assets ka percentage ke roop mein express ki jaati hai:
ER = Average assets under management (AUM) Total annual fund costs
Isme management fees, administration, custody, audit, aur marketing sab aate hain. Yeh pehle se hi NAV mein se daily subtract hoti hai — tumhe alag se koi bill nahi milta.
YEH KYU HOTI HAI: ek fund chalana real money lagta hai (salaries, exchanges, compliance). Fund yeh cost recover karta hai har roz assets mein se thodi si slice kaat ke.
TUMHARE LIYE MATLAB: agar index 12% return de aur ER 1% ho, toh tumhara gross-to-net leak roughly 1% har single saal , hamesha ke liye.
CHARGE KAISE HOTI HAI: ek baar saal mein lump sum nahi — yeh daily accrue hoti hai. 1% annual ER ka matlab hai ki roughly 365 1% ≈ 0.00274% NAV mein se har roz kaat liya jaata hai.
Maano underlying basket rate r per year se badhta hai, aur fund fee f (ER) deduct karta hai. P 0 se shuru karo.
1 saal baad gross value (bina fee ke): P 0 ( 1 + r ) .
Fee assets par li jaati hai, toh net value:
P 1 = P 0 ( 1 + r ) ( 1 − f )
n saalon baad, compounding ke saath:
P n = P 0 ( 1 + r ) n ( 1 − f ) n
Definition Tracking Difference vs Tracking Error
Tracking difference (TD): ek period mein fund return aur index return ke beech ka average gap. TD = R fund − R index . Yeh bias hai (usually thoda negative kyunki fees hain).
Tracking error (TE): return differences ka standard deviation . Yeh gap ki consistency measure karta hai, size nahi.
TE = N − 1 1 ∑ i = 1 N ( d i − d ˉ ) 2 , d i = R fund , i − R index , i
Maano d i period i mein return difference hai. Iska mean d ˉ hai. Differences ka variance average squared deviation hai:
Var ( d ) = N − 1 1 ∑ ( d i − d ˉ ) 2
Hum N − 1 use karte hain (Bessel's correction) kyunki humne d ˉ usi data se estimate kiya, jisse ek degree of freedom kharch hui. Tracking error square root hai — ise return units (%) mein wapas laata hai:
TE = Var ( d )
STANDARD DEVIATION KYU, SIRF AVERAGE GAP KYU NAHI? Do funds dono average –0.5% vs index kar sakte hain. Fund A yeh smoothly karta hai (TE tiny); Fund B +3%, –4%, +2%... swing karta hai (TE huge). Fund B unpredictable hai aur isliye "tracker" ke roop mein hold karna riskier hai, chahe average same dikhe.
Karan
Gap kyun create karta hai
Expense ratio
Fees return ko har roz index se neecha kheenchti hain
Cash drag
Un-invested cash (redemptions ke liye) market ke saath nahi badhti
Sampling
Fund index ke subset of stocks hold karta hai, sab nahi
Rebalancing / index changes
Index snapshot se ≠ prices par buying/selling
Dividend timing
Fund alag dates par dividends receive/reinvest karta hai
Securities lending income
Tracking difference reduce kar sakti hai (return wapas add karti hai)
Worked example Example 1 — 30 saalon mein fee drag
Index return r = 10% /saal. ER 0.1% (sasta index ETF) vs 1.5% (active fund) compare karo. 30 saalon ke liye ₹1,00,000 invest karo.
Step 1 — saste fund ka net multiple.
( 1 + 0.10 ) 30 ( 1 − 0.001 ) 30 . Kyun? Har saal 10% par badhta hai phir 0.1% assets ka khota hai.
( 1.10 ) 30 = 17.449 ; ( 0.999 ) 30 = 0.9704 → net = 16.93 → ₹16.93 lakh .
Step 2 — mehenge fund ka net multiple.
( 1.10 ) 30 ( 1 − 0.015 ) 30 = 17.449 × ( 0.985 ) 30 = 17.449 × 0.6344 = 11.07 → ₹11.07 lakh .
Step 3 — gap. ₹16.93L – ₹11.07L = ₹5.86 lakh khoya ek "chhoti" 1.4% extra fee se.
Itna bada kyun? Kyunki ( 1 − f ) n compound hota hai — fee future compounding churaati hai, sirf is saal ka cash nahi.
Worked example Example 2 — Tracking error compute karna
Monthly return differences d (fund – index), % mein: − 0.10 , − 0.05 , − 0.20 , 0.00 , − 0.15 .
Step 1 — mean. d ˉ = 5 − 0.10 − 0.05 − 0.20 + 0.00 − 0.15 = 5 − 0.50 = − 0.10% .
Kyun? Yeh tracking difference hai (bias) ≈ fund ka fee drag.
Step 2 — mean se deviations. 0.00 , + 0.05 , − 0.10 , + 0.10 , − 0.05 .
Kyun? Hum bias ke around spread chahte hain, zero ke around nahi.
Step 3 — squared deviations. 0 , 0.0025 , 0.01 , 0.01 , 0.0025 ; sum = 0.025 .
Step 4 — variance with N − 1 = 4 . 0.025/4 = 0.00625 .
N − 1 kyun? Humne sample mean use kiya, ek degree of freedom kharch hua.
Step 5 — TE (monthly). 0.00625 = 0.079% .
Step 6 — annualize karo. TE annual = 0.079% × 12 = 0.27% .
12 kyun? Variance independent months mein add hota hai; std-dev time ke saath scale hoti hai.
Worked example Example 3 — Do funds, same difference, alag error
Fund A differences: − 0.5 , − 0.5 , − 0.5 . Fund B: + 2.0 , − 3.5 , − 0.5 . Dono mean = − 0.5% .
A ka TE = 0 (perfectly consistent). B ka TE bada hai. Conclusion: A ek behtar tracker hai chahe average gap identical ho. Same TD, bilkul alag reliability.
Common mistake "Kam expense ratio matlab hamesha behtar tracker."
Kyun sahi lagta hai: fees hain hi underperformance ka sabse bada steady karan, toh sasta strictly better lagta hai.
Fix: ER sirf bias hai. 0.05% ER wala fund lekin poor sampling ke saath 0.10% ER fund se zyada tracking error rakh sakta hai. Dono TD aur TE milke check karo.
Common mistake "Tracking error mujhe batata hai fund ne index se kitna khoya."
Kyun sahi lagta hai: "error" word kisi loss amount jaisa lagta hai.
Fix: Kitna khoya = tracking difference . Wobble/inconsistency = tracking error . TE bada ho sakta hai chahe average performance perfectly index se match kare.
Common mistake "1% ER chhota hai, ignore karo."
Kyun sahi lagta hai: 1% 10% market returns ke saath trivial lagta hai.
Fix: 30 saalon mein ( 1 − 0.01 ) 30 ≈ 0.74 — tum fee-free multiple ka sirf 74% rakhte ho. Woh "1%" ne chupke se tumhari edge ka ~26% le liya. Compounding chhoti fees ko bada kar deti hai.
Common mistake "Tracking error negative ho sakta hai."
Kyun sahi lagta hai: tracking difference se confuse ho rahe hain, jo often negative hoti hai.
Fix: TE ek standard deviation hai → TE ≥ 0 hamesha. Sirf TD mein sign hota hai.
Expense ratio kya hai? Fund ki annual operating cost AUM ka % ke roop mein, NAV se daily deduct hoti hai.
Kya expense ratio investors ko alag se bill ki jaati hai? Nahi — yeh chupke se fund ki NAV mein se har roz subtract hoti hai.
n saalon baad return r aur fee f ke saath fund ki net value ka formula? P 0 ( 1 + r ) n ( 1 − f ) n .
n saalon mein zero-fee fund ke comparison mein fees mein khoya wealth ka fraction? 1 − ( 1 − f ) n .
Tracking difference define karo. Fund return aur index return ke beech ka average gap (bias, usually ≈ –ER).
Tracking error define karo. Fund-minus-index return differences ka standard deviation (tracking ki consistency).
Tracking error ka formula? N − 1 1 ∑ ( d i − d ˉ ) 2 jahan
d i = R f u n d , i − R in d e x , i .
Tracking error mein N–1 kyun use karte hain? Bessel's correction — sample mean data se hi estimate ki gayi thi, ek degree of freedom use hua.
Kya tracking error negative ho sakta hai? Nahi, yeh standard deviation hai, toh ≥ 0. Sirf tracking difference mein sign hota hai.
Monthly tracking error ko annual kaise karte hain? 12 se multiply karo (std-dev √time ke saath scale hoti hai).
Fees ke alawa tracking error ke teen karan batao. Cash drag, sampling (partial holdings), rebalancing/dividend-timing.
Do funds ka tracking difference identical hai; kaun behtar tracker hai? Woh jiska tracking error kam hai (zyada consistent).
Long horizons mein chhote expense ratios kyun matter karte hain? Fees compound hoti hain: ( 1 − f ) n future growth khaata hai, toh 1% fee 30 saalon mein ~26% returns kha sakti hai.
Kaun sa quantity fund ke fee drag ko approximate karta hai? Tracking difference (≈ expense ratio ka negative).
Recall Feynman: 12-saal ke bache ko samjhao
Imagine karo tum apne dost ki homework copy kar rahe ho (dost hai "index"). Expense ratio waise hai jaise tumhari pen har page par thodi ink leak karti hai — tum hamesha apne dost se thoda kam result paate ho, aur jitne zyada pages karo, utni zyada ink kho dete ho. Tracking error waise hai jaise tumhari handwriting kitni kaanpti hai: chahe tum average mein utna hi copy karo, kabhi bahut zyada likhte ho, kabhi bahut kam. Ek accha copier bahut kam ink khota hai (low fee) aur uski handwriting steady hoti hai (low tracking error).
"Difference hai DIP, Error hai JITTER."
D ifference → D irection (sign hota hai, ≈ –fee, index se average dip).
E rror → variability (jitter, hamesha ≥ 0).
Aur fees ke liye: "Chhoti fee, dheemi bleeding." ( 1 − f ) n dhakon tak khoon bahaata hai.
Index funds mein long-run underperformance ka 80% do levers se aata hai: expense ratio low rakho (steady bias control karta hai) aur low tracking error maango (reliability control karta hai). Yeh do master karo aur fund selection ka bada hissa master ho jaata hai.
Index Funds vs Active Funds — ER differences debate kyun drive karte hain.
ETFs and NAV vs Market Price — premium/discount tracking error mein add hota hai.
Compounding and Time Value of Money — ( 1 − f ) n itna kyun dukh deta hai.
Standard Deviation and Variance — tracking error ka math engine.
Total Expense Ratio (TER) Regulations — caps aur disclosure rules.
Sampling vs Full Replication — tracking error ka ek structural source.
Loss fraction 1 minus 1-f to n