Time Stamps: Standard Normal Distribution Table (Z-Score) : 21:49 VAR : 42:00 Security Analysis (Intro) - 01:02:53 Simple Moving Averages- 01:10:25 Exponential Moving Averages- 01:19:27 Efficient Market Hypothesis- 01:32:22 Runs Test- 01:45:20 Auto Correlation Test- 02:04:07 Thankyou so much Sir!
This is how my maths teacher taught me in class XI and XII , and my 20K SFM teacher confused me in a different way ... Ajay Sir thank you so much for this concept to be easily explained and justified ...
(Concept -to be read with notes ) Probability of anything can be found out by looking at how far (in times) it is from the average value. Assumption is that the data is normally distributed on both sides. However, units of things are different and diverse. Hence data should be unit-free to use the common table. We need” Unit-free data”. Probability can change negligibly or a lot depending on the unit of the data used. 1-2 rupees won’t make any difference but 1-2 runs different in match score can make huge difference. To make anything unit-free, in maths, divide the item by the same unit. Data should be unit-free and relative. So, we divide by standard deviation of the data. “standard deviation ka ____ times dur hai average value se”. [can be in -(negative) times also]. Required value denoted by x Average value denoted by mew. Data can be from minus infinity to infinity. Total data probability 1 i.e. 100%. Probability of whole curve is 1. Average is the central value. Equal chances (50%) either side. .5 in decimal terms. Line is like number line. At avg. value, z=0. Always solve by making diagram. Left to right denotes lower to higher. Find out required value. Look at data given in question. Adjust data as per requirement and solve accordingly. Cumulative is one side completely and uptill Z on the other side. Tail represents “z score ke bahar ka value.” Value search in table..Row by column. VAR from 42:00 onwards VAR concepts--- Investment advisory services point of view. Amount of investment is the average value in the curve. Assurance possible maximum upto 99% confidence level. (As guarantee i.e. 100% is not possible). For maximum loss .. always look at “cumulative” table . “X - mew” represents maximum loss ie VAR .(conceptually) (actual formula is different though). Standard deviation is given in daily terms and percentage terms in practical life and in exam. Therefore, we need to multiply by investment amount and by square root of number of days(time). Standard deviation is derived from square root of Variance. Security Analysis from 1:03:10 onwards.
Feeling confident and comfortable after watching this lecture. The concept has been conveyed without the statistical cacophony in a fashion befitting the understanding of those who might not be well versed with statistical methods. Kudos to Mr. Ajay Agarwal.
You guys are just a master piece of creation Me and my friends and some of library guys are having doubt about this Z NORMAL DISTRUBUTION , Yesterday we spoke about this and we are clueless on how to find the right one for us. Today I came across this video where u spoke about that Z TABLES , my doubt was fully cleared You are just amazing . Thankyou so much sir ❤🎉
Thank you so much Ajay sir for your amazing AFM revision lectures, marathons, ABC analysis, Important questions list and thorough guidance. I'm a CA now in May 24 attempt. AFM se mujhe dar tha, par aapne wo dar khatm kr dia sir! Aspirants who are watching this: I'd highly recommend Ajay sir as a Go To for AFM! All the best! Radhe Radhe!
I have studied a normal distribution table many times before studying it in CA finals just for curiosity purposes, but I have to say that I have understood the shape and z score today only. I am sure that this learning will be helpful to me for my future statistics learnings.
Ajay Bhaiya I have also completed M. Com from Calcutta University. Z Score was also there but still I have learned this formula our College professor also told to learn this without giving it's logic. Thank you sayad ye formula ab hamesha yaad rahega agar bhul bhi gaya to iske logic se find out kar lunga
Thank you so much sir I was weak in this area and I didn't got better video than urs in utube and mainly Ind as 109 mein Mujhe confident aapki revision lecture Aur Qn bank ki vajhe se bada hua Very very thank u sir
This is not just a revision video rather a proper full fledged lecture covering 2 two topics very nicely. Able to solve all practical problems as well in the Study Mat too. Thanks Atul Sir
Sir I can't express in words, but I am very much grateful to you, the way you have created your book and the way you teach is really very helpful..... I regret wasting my time and money on SS's lectures where I understood nothing, and by the time I got my exam preparation leaves I remembered nothing and had just a huge pile of books and registers in front of me. Wish I had taken lectures from you from the very start....❤❤
itna to koi teacher regular lecture me bhi nahi samjate h... awasome revision sir🔥🔥 ab kabhi risk management ke formulas ratne nahi padege thank you very much sir✌✌
sir you are the best main kitte dinno se var aur ema ka concept smjhna chahta tha bohot teacher ke video dekhhe question v kiye but concept kv ni smjha thank god yeah revision video main dekhna shuru kiya warna wahi hota harr attempt ki trhbut iss baar confidence andr se aa rha hai
U r teaching us those concepts in revision videos which even many reputed teachers failed to in their full fledged lecture😅 N this is not about is it imp for exam or not its about to know the basic concept before applying any derived fomula Thanku sir...grt job 😌😇
This is a Masterpiece🔥The way you explained the formula of VAR and its derivation step by step is fabulous. The doubts regarding Z score and Normal distribution table are totally cleared. Hats off to you sir 🙏🙌 A BIG THANK YOU FOR THIS AMAZING LECTURE 🙌🙌
Wow you are actually a great teacher! You have explained the concept unexpectedly well. Actually I have taken AFM class from Bhavik Chokshi sir but didn't get the concept that appropriately so I found your video and now got to know it very crisply. Thank You so much.
Itne ache se dekhne k baad sabhi vedios I analysis aap beach beach mein muskarane ki kosis kar rhe hai jese computer pe koi reminder lga ho smile karna hai 😂 Thanku so much for this kind of clarity in concept 🙏❤️
Hello sir if no of days for Exponent calculation not given in question which contains "no trading" days also, then we should consider no of days for calculating exponent after excluding no trading days or we should consider all days including no trading days while calculating Exponent ?
WOW never found standard normal distribution table concept explained so simply, will never forget this in my life Your conceptual clarity is on another level + you convey it so clearly as well
DOUBT: Z-score ya probability calculate karke usko 4 decimals tak lenge ye aapne round off wale video mai bataya tha. My doubt is kya wo 4 decimals ko as it is lenge ya unke aage ke number ke hisab se round off karke? Eg.: 0.280384 ko 0.2803 lenge ya 0.2804?
GURUJI FOUNDATION MAI NORMAL DISTRIBUTION BOUNCER GAYA AAB AAPNE HOOK KHELNA SIKHA DIYA AAB TO BAS BALL AYE DEEP BACKWARD POINT PAR SIX HI MARUNGA........
Time Stamps:
Standard Normal Distribution Table (Z-Score) : 21:49
VAR : 42:00
Security Analysis (Intro) - 01:02:53
Simple Moving Averages- 01:10:25
Exponential Moving Averages- 01:19:27
Efficient Market Hypothesis- 01:32:22
Runs Test- 01:45:20
Auto Correlation Test- 02:04:07
Thankyou so much Sir!
Thanks Sakshi
Thanks
This is how my maths teacher taught me in class XI and XII , and my 20K SFM teacher confused me in a different way ... Ajay Sir thank you so much for this concept to be easily explained and justified ...
its ur mistake....
@@akhilakki3542 I agree .. Trusting a teacher like him is not just mistake but a crime
@@titlisen7235 sanjay saraf lol
WORD, BRO, WORD! Kya toh padhaaya unhone yeh chapter 🥲🥲🥲
❤❤
(Concept -to be read with notes )
Probability of anything can be found out by looking at how far (in times) it is from the average value. Assumption is that the data is normally distributed on both sides. However, units of things are different and diverse. Hence data should be unit-free to use the common table. We need” Unit-free data”. Probability can change negligibly or a lot depending on the unit of the data used. 1-2 rupees won’t make any difference but 1-2 runs different in match score can make huge difference. To make anything unit-free, in maths, divide the item by the same unit. Data should be unit-free and relative. So, we divide by standard deviation of the data. “standard deviation ka ____ times dur hai average value se”. [can be in -(negative) times also].
Required value denoted by x
Average value denoted by mew.
Data can be from minus infinity to infinity. Total data probability 1 i.e. 100%. Probability of whole curve is 1.
Average is the central value. Equal chances (50%) either side. .5 in decimal terms.
Line is like number line. At avg. value, z=0. Always solve by making diagram.
Left to right denotes lower to higher.
Find out required value. Look at data given in question. Adjust data as per requirement and solve accordingly.
Cumulative is one side completely and uptill Z on the other side.
Tail represents “z score ke bahar ka value.”
Value search in table..Row by column.
VAR from 42:00 onwards
VAR concepts---
Investment advisory services point of view.
Amount of investment is the average value in the curve.
Assurance possible maximum upto 99% confidence level. (As guarantee i.e. 100% is not possible).
For maximum loss .. always look at “cumulative” table .
“X - mew” represents maximum loss ie VAR .(conceptually) (actual formula is different though).
Standard deviation is given in daily terms and percentage terms in practical life and in exam. Therefore, we need to multiply by investment amount and by square root of number of days(time).
Standard deviation is derived from square root of Variance.
Security Analysis from 1:03:10 onwards.
Thank you
awesome, thanks
Feeling confident and comfortable after watching this lecture. The concept has been conveyed without the statistical cacophony in a fashion befitting the understanding of those who might not be well versed with statistical methods. Kudos to Mr. Ajay Agarwal.
This is so beautifully designed to explain the concepts in a short format in less time! Thank you so much for your efforts!! 🤩
You guys are just a master piece of creation
Me and my friends and some of library guys are having doubt about this Z NORMAL DISTRUBUTION ,
Yesterday we spoke about this and we are clueless on how to find the right one for us.
Today I came across this video where u spoke about that Z TABLES , my doubt was fully cleared
You are just amazing .
Thankyou so much sir ❤🎉
There are some people who use fancy words just to convey simplest of things, Ajay is the odd one out. So much said without saying too much. Thank you.
Thank you so much Ajay sir for your amazing AFM revision lectures, marathons, ABC analysis, Important questions list and thorough guidance. I'm a CA now in May 24 attempt.
AFM se mujhe dar tha, par aapne wo dar khatm kr dia sir!
Aspirants who are watching this: I'd highly recommend Ajay sir as a Go To for AFM! All the best! Radhe Radhe!
1:32:23 Efficient Market Hypothesis
1:07:00 Technical Analysis (EMA explanation here)
Sir your sfm revision lectures helped a lot. I cleared my CA final exams in nov 22 and a big thanks to you
U have taken classes from others faculty or by Ajay Bhaiya only??
I have studied a normal distribution table many times before studying it in CA finals just for curiosity purposes, but I have to say that I have understood the shape and z score today only. I am sure that this learning will be helpful to me for my future statistics learnings.
The conceptual clarity that you have and the way you explain is really amazing🔥🔥
Thank you sir for explaining in lucid manner 42 minutes me sara distribution ho gya❤
You r God of AFM ....u really made subject easy.
Ajay Bhaiya I have also completed M. Com from Calcutta University. Z Score was also there but still I have learned this formula our College professor also told to learn this without giving it's logic.
Thank you sayad ye formula ab hamesha yaad rahega agar bhul bhi gaya to iske logic se find out kar lunga
Thank you so much sir
I was weak in this area and I didn't got better video than urs in utube and mainly Ind as 109 mein Mujhe confident aapki revision lecture Aur Qn bank ki vajhe se bada hua
Very very thank u sir
The ease with which you explain everything is too good! Thank you so much sir🙏🙏
This is not just a revision video rather a proper full fledged lecture covering 2 two topics very nicely. Able to solve all practical problems as well in the Study Mat too. Thanks Atul Sir
pehli baar ye chap actual me samjh aaya, ratt ratt kar thak gye the sir (ykwim) thanks alot sir💯
Sir yeh Z score aapne bohot badhiya se bataya hai . Loved it 👍👍
Random table taught so simply. Also the moving averages explanation in conceptual way is great. Thanks
Aisa risk management nahi dekha kahi, itni clearity se!
For the 1st time i have understood this standard distribution table in such a easy manner
Radhe Radhe to our saviour
Sir I can't express in words, but I am very much grateful to you, the way you have created your book and the way you teach is really very helpful.....
I regret wasting my time and money on SS's lectures where I understood nothing, and by the time I got my exam preparation leaves I remembered nothing and had just a huge pile of books and registers in front of me.
Wish I had taken lectures from you from the very start....❤❤
Thank you ajay bhai, full achhe se samaj mein aa gaya from revision video ❤❤❤
2:07:20 to 2:08:07
Deciding Market Efficient or inefficient based on Correlation No.
itna to koi teacher regular lecture me bhi nahi samjate h... awasome revision sir🔥🔥 ab kabhi risk management ke formulas ratne nahi padege thank you very much sir✌✌
you have really helped sir in deep revision with complete logic and concepts.. Thank you🙏
This lectures are far better than a regular class of 18k .. Thank you sir .. Truly gem of CA industry ❤
sir you are the best
main kitte dinno se var aur ema ka concept smjhna chahta tha bohot teacher ke video dekhhe question v kiye but concept kv ni smjha
thank god yeah revision video main dekhna shuru kiya warna wahi hota harr attempt ki trhbut iss baar confidence andr se aa rha hai
U r teaching us those concepts in revision videos which even many reputed teachers failed to in their full fledged lecture😅
N this is not about is it imp for exam or not its about to know the basic concept before applying any derived fomula
Thanku sir...grt job 😌😇
Finally mera Risk management & Security analysis khatam hua! Thanks Radhey Radhey 🙏
42:00-1.00.00
1:19:00 to 1.32.00
1:44:00
Solve VAR last question
Solve Run test question
Just see through the Auto question.
Broooo you are legend.... thank you so much for the simplicity you provide in the lecture❤
This is a Masterpiece🔥The way you explained the formula of VAR and its derivation step by step is fabulous.
The doubts regarding Z score and Normal distribution table are totally cleared. Hats off to you sir 🙏🙌
A BIG THANK YOU FOR THIS AMAZING LECTURE 🙌🙌
🙏😊
Thank you to my very young intellectual guru ❤️🙌!!
Wow you are actually a great teacher! You have explained the concept unexpectedly well. Actually I have taken AFM class from Bhavik Chokshi sir but didn't get the concept that appropriately so I found your video and now got to know it very crisply. Thank You so much.
Radhe radhe guruji..... VAR ache se smjh aa gya ....bahut bahut dhanyawaad 🙏
each and every point explained with concepts
Itne ache se dekhne k baad sabhi vedios I analysis aap beach beach mein muskarane ki kosis kar rhe hai jese computer pe koi reminder lga ho smile karna hai 😂
Thanku so much for this kind of clarity in concept 🙏❤️
Apka itna dimag kese chalta h ekdum logic k sath superrr🎉
42:00 continue from here
Hello sir if no of days for Exponent calculation not given in question which contains "no trading" days also, then we should consider no of days for calculating exponent after excluding no trading days or we should consider all days including no trading days while calculating Exponent ?
Where can we find the notes.?
It is not available in the free resource section.
30:47 different area
Thanks a lot sir
Thank you so much Bhai❤🙏, You Both are doing your level Best💯💯Take Care of your Health Bhai👍
I never understand VAR before but now it seems so easy
Can't thank you enough 🙏🏼🙏🏼🙏🏼
No words, only big thank you ❤❤
Thanku so much sir for such an amazing understanding of the concept 😊😊
Thank you for conceptual clarity ❤
1:38:35 Levels of market efficiency
Security Analysis Starts:- 1:02:53
33:56 one tail cumulative
1:03:00 Security Analysis
Sir no one like uhh...sir u r great sir... thank you so much sir.....🥺🙏🙏
1:02:52 security analysis
Thank you sir. I am grateful. I got my concepts clear.
Security Analysis 1:02:55
बोलो वृंदावन बिहारी लाल की जय 🧡🧡 राधे राधे 🎉🎉🙏🙏💛💛
very well explained sir, studied for the first time. thanks a ton
Hats off to you and your knowledge...🙌
Thanks a lot, very logical and crisp explanation
Sir, Thankyou so much for helping us to complete these topics in a very crisp way , tq sir.
Curve explanation 23:05
And 27:26
WOW never found standard normal distribution table concept explained so simply, will never forget this in my life
Your conceptual clarity is on another level + you convey it so clearly as well
Thank you so much Sir
Radhe Radhe🙏
EMA 1:20:00
AUTO CORRELATION LAST 6 MINS
Really suprb sir ......
Please sir derivative revision please .....🤟🏻
Normal distribution curve 23:00
Thank u sir...🙏God bless u😇
Sir u are amazing ❤thanks for everything
Best Concept Clarity
Simply outstanding 👍👍👍👍👍
1:00:02 var formula
Thank you so much for such a great revision.
personal time stamp 1:56:00
Very beautifully explained risk management
hatssoff for the way you explain everything . thank you sir.
42:40 value at risk
sir is revision video value at risk jo 2 shares ka ques. sm mein diya woh apne solve nahi karya hai sir plz solve kara dejiye sir
Sir, if direct right shares value and right factor nikala without formula writing to chalta h na
You are literally a darling ✨
Thank you so much sirjii🙏
Kindly provide link of notes.. Thanks in advance
Sir in board book for sigma there is a lengthy formula can we use your mue-1 *mue-2 formula there.will marks me deducted?
1:00:00 VAR = X-MU
Thank you so much Sir ❤
Sir ur awesome😍 tqqq so much sir😊
Hatts off to your efforts
30:40 examle on z score
1:00:00 logic
Once there was a time when i also used to make fun of you two...now you have made me your fan❤
DOUBT: Z-score ya probability calculate karke usko 4 decimals tak lenge ye aapne round off wale video mai bataya tha. My doubt is kya wo 4 decimals ko as it is lenge ya unke aage ke number ke hisab se round off karke?
Eg.: 0.280384 ko 0.2803 lenge ya 0.2804?
If 5th digit greater than 5...round off the 4th digit.. Vice versa so take 0.2804
Radhe radhe sir!! Thank you so much!! 👍🏼💯
What a Legend! What a Legend!
GURUJI FOUNDATION MAI NORMAL DISTRIBUTION BOUNCER GAYA AAB AAPNE HOOK KHELNA SIKHA DIYA AAB TO BAS BALL AYE DEEP BACKWARD POINT PAR SIX HI MARUNGA........
1st time I understood
Plz provide notes which is use in revision lecture.