Rules-based — koi manager discretion nahi; tum ise code kar sakte ho.
Factor-driven — ek documented premium target karta hai.
Transparent & low-cost — passive aur active ke beech mein hai.
HOW karte hain ek factor return Fk derive (first principles se): sabhi stocks ko characteristic ke hisaab se rank karo, top tercile ko long karo aur bottom tercile ko short:
Fvalue=Rcheap 30%−Rexpensive 30%
Historically Fvalue>0 on average hota hai — yeh positive average hi woh "premium" hai jo smart beta harvest karta hai.
Recall Khud test karo (attempt karne ke baad kholo)
Smart beta ke weight formula mein MCi ki jagah kya aata hai? → ek factor scoresi.
Smart beta ka excess return alpha hai ya beta? → beta (factor risk premium).
Equal-weight small caps ki taraf kyun tilt karta hai? → yeh har stock ko 1/N deta hai, cap-weight ke mukable small-cap weight hugely raise ho jaata hai.
Ek reason kyun smart beta saalon tak underperform kar sakta hai? → factor drawdowns; premiums cyclical hote hain.
Ek transparent, rules-based strategy jo market cap ki jagah factor characteristic se weight karta hai, taaki factor premium low cost par harvest ho sake.
General smart-beta weight formula
wi=si/∑jsj, jahan si ek factor score hai.
Cap-weight formula
wi=MCi/∑jMCj.
Cap-weighting ke do hidden flaws
Overvalued stocks ko overweight karta hai; mega-caps mein concentrate karta hai.
Multi-factor model equation
Ri−Rf=αi+∑kβi,kFk+εi.
Value factor return Fvalue kaise construct karta hai
Cheapest tercile ko long karo minus most-expensive tercile ko short karo.
Smart beta ka outperformance alpha hai ya beta?
Beta — ek compensated factor risk premium, skill nahi.
Equal-weighting kabhi kabhi kyun outperform karta hai
Size + value tilt plus mechanical rebalancing (winners becho, losers kharido).
Low-volatility tilt ke liye score
si=1/σi.
Min-variance 2-asset optimal weight
w∗=(σ22−ρσ1σ2)/(σ12+σ22−2ρσ1σ2).
Smart beta cost spectrum par kahan baithta hai
Saste passive indexing aur mehenga active management ke beech mein.
Bahut saare factors stack karne ka main risk
Exposures cancel ho sakti hain (e.g., value vs momentum), tilts dilute ho jaati hain.
Recall Feynman: 12-saal ke bachche ko explain karo
Socho ek bag of marbles hai jahan sabse bade marbles hamesha sabse zyada pick hote hain — yahi normal index fund hai; woh sirf sabse badi companies pakad leta hai. Smart beta kehta hai: "Chaliye marbles ko ek smart rule se pick karein — jaise 'sabse saste wale lo' ya 'sabse shant, kam koodte hue wale lo'." Smart logon ne notice kiya ki saste aur shant marbles kaafi saalon mein achhi tarah grow karte hain. Toh hum ek clear rule likhte hain jo sabh padh sakte hain, use robot style mein follow karte hain (koi guessing nahi), aur almost kuch bhi pay nahi karte. Humein koi jadu ki daulat nahi milti — bas thoda extra mil jaata hai un marbles ko hold karne ke liye jo doosre logon ko boring ya scary lagti hain bure saalon mein.