RISK MANAGEMENT & SECURITY ANALYSIS Revision | CA/CMA Final SFM | By CA Ajay Agarwal AIR 1

Topics Coverage:
Risk Management - Standard Normal Distribution Table, Value At Risk (VAR)
Security Analysis - AMA/SMA, EMA, Efficient Market Theory, Run Test, Auto Correlation Test
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[@titlisen7235]

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 ...

[@akhilakki3542]

its ur mistake....

[@titlisen7235]

@@akhilakki3542 I agree .. Trusting a teacher like him is not just mistake but a crime

[@devvratsinghshekhawat7593]

@@titlisen7235 sanjay saraf lol

[@smitasantuka9311]

WORD, BRO, WORD! Kya toh padhaaya unhone yeh chapter 🥲🥲🥲

[@sakshicafinal4893]

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!

[@RokdaMaker]

Thanks Sakshi

[@eshanvemuri4001]

Thanks

[@meghashah7734]

Sir your sfm revision lectures helped a lot. I cleared my CA final exams in nov 22 and a big thanks to you

[@user-ob1xc4qx3c]

U have taken classes from others faculty or by Ajay Bhaiya only??

[@janvikuruwa9290]

This is so beautifully designed to explain the concepts in a short format in less time! Thank you so much for your efforts!! 🤩

[@rushabhshah8122]

(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.

[@sri1959]

Thank you

[@PuRu_Butterfingers]

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.

[@chadarrohit97]

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!

[@Geeks98]

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 ❤🎉

[@aayushgupta4493]

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.

[@aaquibraza5600]

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.

[@angadkumarshaw8236]

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

[@ayushigoyal8746]

The conceptual clarity that you have and the way you explain is really amazing🔥🔥

[@mkchawla]

1:32:23 Efficient Market Hypothesis
1:07:00 Technical Analysis (EMA explanation here)

[@jkr2541]

Random table taught so simply. Also the moving averages explanation in conceptual way is great. Thanks

[@vikasbhanushali2814]

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

[@akashbatra2141]

Where can we find the notes.?
It is not available in the free resource section.

[@shreyaagarwal831]

The ease with which you explain everything is too good! Thank you so much sir🙏🙏

[@kowsalyakannan2016]

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

[@Yashkhandelwal08]

Aisa risk management nahi dekha kahi, itni clearity se!

[@RahulSingh-ej9jf]

Sir yeh Z score aapne bohot badhiya se bataya hai . Loved it 👍👍

[@lokeshemandi2757]

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 ?

[@cavishakhapaliwal]

Radhe Radhe to our saviour

[@wemumbaikars1201]

Finally mera Risk management & Security analysis khatam hua! Thanks Radhey Radhey 🙏

[@adityanigam3429]

For the 1st time i have understood this standard distribution table in such a easy manner

[@varunkumarvijjapu7055]

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?

[@impactcommerce]

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

[@ca_arjunmanoj9303]

Thank you so much Bhai❤🙏, You Both are doing your level Best💯💯Take Care of your Health Bhai👍

[@manalijain1558]

pehli baar ye chap actual me samjh aaya, ratt ratt kar thak gye the sir (ykwim) thanks alot sir💯

[@milanpatel3375]

Thank you sir for explaining in lucid manner 42 minutes me sara distribution ho gya❤

[@nb94]

This lectures are far better than a regular class of 18k .. Thank you sir .. Truly gem of CA industry ❤

[@rupesh8472]

Sir, Thankyou so much for helping us to complete these topics in a very crisp way , tq sir.

[@suyashmahajan282]

2:07:20 to 2:08:07
Deciding Market Efficient or inefficient based on Correlation No.

[@RajshekarIengar]

Thank you so much Sir
Radhe Radhe🙏

[@stexclusive773]

Radhe radhe guruji..... VAR ache se smjh aa gya ....bahut bahut dhanyawaad 🙏

[@Financial.planning_with_khyati]

hatssoff for the way you explain everything . thank you sir.

[@nishishah3486]

Thank you sir. I am grateful. I got my concepts clear.

[@shaifalisinghal4276]

Can't thank you enough 🙏🏼🙏🏼🙏🏼

[@rak1486]

Thanks a lot, very logical and crisp explanation

[@hgamer9497]

Sir, if direct right shares value and right factor nikala without formula writing to chalta h na

[@anjalihande1923]

You r God of AFM ....u really made subject easy.

[@Bhavyagandhi_9]

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 🙌🙌

[@air1caajay]

🙏😊

[@lusiferrefisul2580]

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........

[@Cawithdreams]

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 🙏❤️

[@anushapa4305]

30:47 different area
Thanks a lot sir

[@deepakkandoi3303]

Sir is it recommended to do the MTP for the coming exams?

[@nandinidhall2749]

Thank u sir...🙏God bless u😇

[@aishwaryamoyal12]

Thank you so much for such a great revision.

[@rishikamriya5257]

Thank you so much sir 🙏🏻

[@Ravi-mk9rm]

Thank you sir

[@divyankgyanchandani2506]

Thanks a lot !!

[@shivamwarwadkar4107]

Thank You Sirji

[@sonu-pn6wm]

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.

[@nitinchhikara6252]

Radhe radhe sir!! Thank you so much!! 👍🏼💯

[@prekshaagrawal181]

Amazing lecture....!!!

[@jyotii_sahu]

Hats off to you and your knowledge...🙌

[@rachana8820]

Thank you sir❤🙏

[@ankitthakkar26]

Thank you so much sirjii🙏

[@mayankgupta7936]

Hatts off to your efforts

[@birendrajayanti]

Kindly provide link of notes.. Thanks in advance

[@myyttales6235]

Thanku so much sir❤

[@chiragbapna9339]

Really suprb sir ......
Please sir derivative revision please .....🤟🏻

[@gauravjain677]

Radhe radhe bhaiya❤️

[@harishr6685]

Simply outstanding 👍👍👍👍👍

[@suhanimittal8035]

I never understand VAR before but now it seems so easy

[@Ankitamaheshwari47]

Thanku so much sir

[@manishaagarwal9420]

So less likes...very unfair..
Thankyou for giving us such clarity

[@paruljain4899]

Wowwwwww thanku sir🙏🙏

[@anuraggupta-oq4vr]

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

[@sandeepva6409]

Thanks bro

[@jayanegi1670]

Very beautifully explained risk management

[@shilpakaturde5677]

Thank you so much Sir ❤

[@majjikundana99]

Sir ur awesome😍 tqqq so much sir😊

[@vedhangsevani969]

Thankyou. It was useful

[@user-xc3hl6sq3e]

Radhe Radhe🙏

[@sakshijain5857]

Sir no one like uhh...sir u r great sir... thank you so much sir.....🥺🙏🙏

[@MOHDSAMEER-hc6gs]

Plz provide notes which is use in revision lecture.

[@komalsoni3658]

Thank you sir 😊

[@cashivaniagarwal124]

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?

[@nightmaregaming2378]

If 5th digit greater than 5...round off the 4th digit.. Vice versa so take 0.2804

[@jjjhjh3906]

where can I find question on run tests pls tell anyone

[@gauravdubey4822]

33:56 one tail cumulative

[@NehaPrajapati-gm4cs]

Thank you so much ❤

[@sariifpoudel6008]

advance account ABC analysis for NOV 22. please as soon as possible

[@lavanyap9974]

Thank you so much sir 🙏

[@impawancool]

Waaa
RADHE RADHE

[@NikithaPJain]

1:38:35 Levels of market efficiency

[@MG_1307]

Thank you so much ❤❤❤

[@deepakagarwal8043]

Radhey radhey Bhai superb u and ur lectures

[@Vaibhavnatkhat12]

1:02:52 security analysis

[@CADarpanJain]

What a Legend! What a Legend!

[@manasarora1440]

Normal distribution curve 23:00

[@quoraoffice6312]

Please provide sfm theory revision also...

[@kishu4601]

1st time I understood

[@venkateshpareek4956]

Security Analysis 1:02:55

[@labdhibafna9061]

Thank You legend

[@man12443]

Great explanation Sir ji

[@pranaygangan]

Wow , Literally wow

[@harshildave8900]

Radhe radhe

[@CATushar]

Bestest video

[@kajalsharma5763]

very well explained.

[@l1729]

Thank youuuu😭😭🙏🙏🙏🙏