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.
"I appreciate how you've structured the syllabus and lectures. I recognize the higher guidance behind your work. I hope you'll continue to maintain this standard and provide meaningful service that enriches your life and others."
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 ❤🎉
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 ?
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!
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✌✌
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
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
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
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
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....❤❤
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 😌😇
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 🙏❤️
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.
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 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
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........
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?
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
This is so beautifully designed to explain the concepts in a short format in less time! Thank you so much for your efforts!! 🤩
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.
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.
I wish someone could have explained such concepts in different subjects with so much ease. This is too good sir
"I appreciate how you've structured the syllabus and lectures. I recognize the higher guidance behind your work. I hope you'll continue to maintain this standard and provide meaningful service that enriches your life and others."
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 ❤🎉
The conceptual clarity that you have and the way you explain is really amazing🔥🔥
1:32:23 Efficient Market Hypothesis
1:07:00 Technical Analysis (EMA explanation 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 ?
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!
Thank you sir for explaining in lucid manner 42 minutes me sara distribution ho gya❤
The ease with which you explain everything is too good! Thank you so much sir🙏🙏
Radhe Radhe to our saviour
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 r God of AFM ....u really made subject easy.
Aisa risk management nahi dekha kahi, itni clearity se!
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
For the 1st time i have understood this standard distribution table in such a easy manner
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.
Sir yeh Z score aapne bohot badhiya se bataya hai . Loved it 👍👍
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
This lectures are far better than a regular class of 18k .. Thank you sir .. Truly gem of CA industry ❤
pehli baar ye chap actual me samjh aaya, ratt ratt kar thak gye the sir (ykwim) thanks alot sir💯
Random table taught so simply. Also the moving averages explanation in conceptual way is great. Thanks
you have really helped sir in deep revision with complete logic and concepts.. Thank you🙏
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.
Finally mera Risk management & Security analysis khatam hua! Thanks Radhey Radhey 🙏
each and every point explained with concepts
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
Broooo you are legend.... thank you so much for the simplicity you provide in the lecture❤
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.
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
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....❤❤
Security Analysis Starts:- 1:02:53
42:00 continue from here
Radhe radhe guruji..... VAR ache se smjh aa gya ....bahut bahut dhanyawaad 🙏
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 😌😇
Can't thank you enough 🙏🏼🙏🏼🙏🏼
30:47 different area
Thanks a lot sir
Apka itna dimag kese chalta h ekdum logic k sath superrr🎉
@Ajay sir is god made faculty for CA students
very well explained sir, studied for the first time. thanks a ton
Thank you to my very young intellectual guru ❤️🙌!!
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 🙏❤️
Thank you for conceptual clarity ❤
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.
I never understand VAR before but now it seems so easy
Thanku so much sir for such an amazing understanding of the concept 😊😊
Hats off to you and your knowledge...🙌
1:02:52 security analysis
Where can we find the notes.?
It is not available in the free resource section.
Thanks a lot, very logical and crisp explanation
No words, only big thank you ❤❤
Really suprb sir ......
Please sir derivative revision please .....🤟🏻
33:56 one tail cumulative
बोलो वृंदावन बिहारी लाल की जय 🧡🧡 राधे राधे 🎉🎉🙏🙏💛💛
Thank you sir. I am grateful. I got my concepts clear.
What a Legend! What a Legend!
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 🙌🙌
🙏😊
Radhe Radhe ❤
Security Analysis 1:02:55
Hatts off to your efforts
1:38:35 Levels of market efficiency
1:03:00 Security Analysis
Sir, Thankyou so much for helping us to complete these topics in a very crisp way , tq sir.
Radhe Radhe🙏
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🙏
Best Concept Clarity
Thank you so much Bhai❤🙏, You Both are doing your level Best💯💯Take Care of your Health Bhai👍
Sir no one like uhh...sir u r great sir... thank you so much sir.....🥺🙏🙏
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?
Very beautifully explained risk management
Sir u are amazing ❤thanks for everything
Sir, if direct right shares value and right factor nikala without formula writing to chalta h na
Thank u sir...🙏God bless u😇
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........
You are literally a darling ✨
1:02:56 sec. Analysis
1st time I understood
I will be appearing in May 2025 and will surely score exemption in may 25 because of you...
EMA 1:20:00
AUTO CORRELATION LAST 6 MINS
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
Thank you so much sirjii🙏
Wowwwwww thanku sir🙏🙏
Curve explanation 23:05
And 27:26
Thank you so much Sir ❤
Thank you so much ❤❤❤
Thank You Sirji
Thanks a lot !!
Simply outstanding 👍👍👍👍👍
Wow , Literally wow
Thank you so much for such a great revision.
1:00:02 var formula
Thanku so much sir❤