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Articles/Quant Basics
Beginner·7 min read·Quant Basics·

Standard Deviation — Market ka Thermometer

मानक विचलन — बाजार का थर्मामीटर

Standard deviation batata hai ki returns average se kitne door jaate hain. Zyada standard deviation matlab zyada uncertainty. Volatility aur standard deviation practically same cheez hain markets mein.

§ 01

Standard Deviation kya Measure karta Hai

Imagine karo ki do stocks hain. Stock A ke monthly returns hain: 2, 3, 2, 4, 3, 2, 3 percent. Average roughly 2.7 percent. Stock B ke returns hain: minus 5, 10, minus 3, 15, minus 8, 12, 2 percent. Average bhi roughly 3.3 percent.

Dono ka average return almost same hai. Lekin B bahut zyada unpredictable hai. Kabhi bada plus, kabhi bada minus. Standard deviation is unpredictability ko measure karta hai. A ka standard deviation low hoga, B ka bahut high.

Investors generally same return ke liye lower standard deviation prefer karte hain. Iska reason simple hai: high volatility ka matlab hai ki kisi bhi given month ya quarter mein aapka portfolio bahut neeche bhi ja sakta hai, chahe long term average return achha ho.

§ 02

Normal Distribution aur 68-95-99.7 Rule

Agar stock returns normally distributed hain, toh ek powerful rule apply hota hai. Approximately 68 percent returns mean ke ek standard deviation ke andar aate hain. 95 percent returns mean ke do standard deviations ke andar aate hain. 99.7 percent returns teen standard deviations ke andar aate hain.

Example: NIFTY ka historical annual standard deviation roughly 20 percent hai aur average return roughly 12 percent. Iska matlab roughly 68 percent years mein NIFTY ka return minus 8 se 32 percent ke beech hoga. Aur 95 percent years mein minus 28 se 52 percent ke beech.

Yahan problem aati hai. Real markets mein extreme events, yani jo 3 standard deviation se bahar hote hain, theoretically normal distribution mein almost impossible hote hain. Lekin actual mein yeh events bahut zyada frequently occur karte hain. 2008 financial crisis, COVID crash, 2020 March mein kya hua, yeh sab theoretically bahut rare the lekin hue.

§ 03

Historical vs Implied Volatility

Historical volatility past returns se calculate hoti hai. Yeh backward looking hai. India VIX aur options pricing mein jo volatility use hoti hai woh implied volatility hai, jo forward looking hai. Yeh market ka estimate hai ki aage kitna movement aayega.

Jab IV (Implied Volatility) historical volatility se bahut zyada ho toh options relatively expensive hote hain. Sellers ke liye favorable time. Jab IV historically low ho toh options relatively cheap hote hain, buyers ke liye better value.

Standard deviation annualize karne ke liye daily standard deviation ko square root of 252 se multiply karte hain. 252 approximately trading days per year hote hain India mein.

Key Takeaways
  • 01Standard deviation returns ki average se distance measure karta hai
  • 0268 percent returns mean ke ek SD mein, 95 percent do SD mein
  • 03Real markets mein fat tails hote hain: extreme events zyada frequently aate hain
  • 04Historical volatility backward, implied volatility forward looking hoti hai

Yeh article sirf educational purpose ke liye hai. Isme koi bhi investment advice, research advice ya financial recommendation nahi hai. Markets mein risk hota hai. Apne financial decisions apne research aur qualified advisor ke saath lein.