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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[@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

[@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 🥲🥲🥲

[@janvikuruwa9290]

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

[@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??

[@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.

[@ayushigoyal8746]

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

[@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

[@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 ❤🎉

[@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.

[@jkr2541]

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

[@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.

[@shreyaagarwal831]

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

[@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

[@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

[@ca_arjunmanoj9303]

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

[@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

[@adityanigam3429]

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

[@rupesh8472]

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

[@wemumbaikars1201]

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

[@Financial.planning_with_khyati]

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

[@milanpatel3375]

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

[@RajshekarIengar]

Thank you so much Sir Radhe Radhe🙏

[@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

[@cavishakhapaliwal]

Radhe Radhe to our saviour

[@stexclusive773]

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

[@shaifalisinghal4276]

Can't thank you enough 🙏🏼🙏🏼🙏🏼

[@nishishah3486]

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

[@manalijain1558]

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

[@anjalihande1923]

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

[@chiragbapna9339]

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

[@anushapa4305]

30:47 different area Thanks a lot sir

[@nb94]

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

[@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]

🙏😊

[@nitinchhikara6252]

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

[@akashbatra2141]

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

[@aishwaryamoyal12]

Thank you so much for such a great revision.

[@suhanimittal8035]

I never understand VAR before but now it seems so easy

[@nandinidhall2749]

Thank u sir...🙏God bless u😇

[@rak1486]

Thanks a lot, very logical and crisp explanation

[@jayanegi1670]

Very beautifully explained risk management

[@harishr6685]

Simply outstanding 👍👍👍👍👍

[@jyotii_sahu]

Hats off to you and your knowledge...🙌

[@sakshijain5857]

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

[@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 🙏❤️

[@prekshaagrawal181]

Amazing lecture....!!!

[@mkchawla]

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

[@majjikundana99]

Sir ur awesome😍 tqqq so much sir😊

[@rishikamriya5257]

Thank you so much sir 🙏🏻

[@mayankgupta7936]

Hatts off to your efforts

[@paruljain4899]

Wowwwwww thanku sir🙏🙏

[@manishaagarwal9420]

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

[@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 ?

[@suyashmahajan282]

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

[@deepakagarwal8043]

Radhey radhey Bhai superb u and ur lectures

[@divyankgyanchandani2506]

Thanks a lot !!

[@ankitthakkar26]

Thank you so much sirjii🙏

[@shivamwarwadkar4107]

Thank You Sirji

[@gauravjain677]

Radhe radhe bhaiya❤️

[@Ravi-mk9rm]

Thank you sir

[@CADarpanJain]

What a Legend! What a Legend!

[@impawancool]

Waaa RADHE RADHE

[@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?

[@user-xc3hl6sq3e]

Radhe Radhe🙏

[@rachana8820]

Thank you sir❤🙏

[@shilpakaturde5677]

Thank you so much Sir ❤

[@quoraoffice6312]

Please provide sfm theory revision also...

[@christeena1255]

Once there was a time when i also used to make fun of you two...now you have made me your fan❤

[@vedhangsevani969]

Thankyou. It was useful

[@man12443]

Great explanation Sir ji

[@sandeepva6409]

Thanks bro

[@deepakkandoi3303]

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

[@gauravdubey4822]

33:56 one tail cumulative

[@NikithaPJain]

1:38:35 Levels of market efficiency

[@kishu4601]

1st time I understood

[@myyttales6235]

Thanku so much sir❤

[@ektajain3983]

Amazing As Always 🎉❤

[@Ankitamaheshwari47]

Thanku so much sir

[@lavanyap9974]

Thank you so much sir 🙏

[@birendrajayanti]

Kindly provide link of notes.. Thanks in advance

[@sariifpoudel6008]

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

[@pranaygangan]

Wow , Literally wow

[@harshildave8900]

Radhe radhe

[@manasarora1440]

Normal distribution curve 23:00

[@NehaPrajapati-gm4cs]

Thank you so much ❤

[@THE.PIYUSH.SHUKLA]

Superbly explained😍😍

[@sumeshyadav27]

🙏

[@komalsoni3658]

Thank you sir 😊

[@MG_1307]

Thank you so much ❤❤❤

[@labdhibafna9061]

Thank You legend

[@MOHDSAMEER-hc6gs]

Plz provide notes which is use in revision lecture.

[@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........

[@CATushar]

Bestest video

[@hgamer9497]

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

[@kajalsharma5763]

very well explained.

[@l1729]

Thank youuuu😭😭🙏🙏🙏🙏

[@Vaibhavnatkhat12]

1:02:52 security analysis

[@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

[@Vaibhavnatkhat12]

42:40 value at risk