BC BUYBACK
Saved by @stranzer4

Framework on Buyback covered till now.

This Mega Thread covers our entire thesis on this buyback special situation play, across different sectors & our experience with it.

{Thread of Threads}
🧵👇

 Basic of Buyback

https://t.co/UuBaIz13sj
Just Dial buyback experience & Notable Learning

https://t.co/DNErlbIYHi
Past Case Studies with different learning:

1. TCS Buyback

https://t.co/JI2SgRL1ZO
2. Gandhi Special tubes Buyback

https://t.co/wAV61DzkQ2
3. E-Clerx Buyback

https://t.co/NEuSSuX9md
4. Start Cement Buyback

https://t.co/IECwWGPrTB
5. Balrampur Chini & Amrit Corp Buyback

https://t.co/9o7abL9PZB
6. Quick Heal Technologies Buyback

https://t.co/Y7CTl0jYIh
7. Tips Industries Buyback

https://t.co/Mn0q7NNLGJ
8. Tanla solutions Buyback

https://t.co/KHmLuM8KZu
9. Securities Intelligence Service (SIS) Buyback

https://t.co/BgNnguMnok
10. Aarti Drugs Buyback

https://t.co/00Ehc6xvVs
11. NTPC Buyback

https://t.co/Yi39WzLDxP

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How Amazon makes money?

[ Amazon's business model decoded😃]

@dmuthuk @unseenvalue @FI_InvestIndia @Vivek_Investor @drprashantmish6 @caniravkaria

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1/ A person named Jeffery earns 100 dollars per month and has an expenditure of 120 dollars monthly. He has a very good reputation in the society. So, he takes a loan of 1k dollars for a month and this 1k cash is invested in new business ventures.

2/ For the next month, he pays his liability back by taking a loan from another person for 1.5k dollars. The loan of 1k is paid back and the remaining 500 dollars are invested in another business venture.

3/ By the end of the month, he earns 150 dollars through his old and new business ventures but has a total expenditure of 200 dollars. He again is in a deficit of 50 dollars. To pay back his 1.5k dollar loan, he takes a loan for 2k dollars

4/ This cycle goes on and on. Jeffery keeps on taking bigger loans to repay the previous loan and the leftover extra loan is invested in bigger ventures which produce more expense than income.
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Farm Bill: EXPLAINED! [ITC Ltd. initiative of E-Chaupal]

@dmuthuk @nsitharamanoffc @shyamsek @Capital_Artist @amey_candor @arpit971

(Blog & a Summarized

Govt. of India recently passed 3 Farm bills relating to Agriculture sector to bring speedy reforms in Agriculture.
To attract more private investments from the big FMCGs like ITC [E-Choupal] and doubling Farmers income by 2022.

1. Farmers’ produce Trade & commerce (Promotion and Facilitation Act), 2020.

- This Act allows farmers to sell their crops to any trader not necessarily to APMC. Before farmers used to sell at APMC but now it can sell it to anyone.

- This Act will create an ecosystem where the farmers and traders will enjoy freedom of choice of sale and purchase of agriculture.

- It will also promote barrier free inter-state & intra-state trade and commerce outside the physical premises of market notified under state APLM

Clarifications on this act
- Procurement at MSP will continue. Farmers can even sell to the government.
- Mandi will not stop functioning
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Saregama concall was today at 4:00 PM

"Target to purchase 20% of the new music this year for the next 30 year"

Here are the key highlights of the call 😀👇

Business Updates:
• There has been slow and steady growth and the industry is slowly coming out of Covid.
• Entertainment and Education has seeing a good growth in digitization.
• Saregama is in a good position to take the advantage of the digitization.

• Cost has been tightened over the past 2 quarter.
• Company debt company last year, has been reduced a lot.

Growth Driver:
• Primary driver for the 24% sales growth is the Carvaan sales and the music right.

Plan of purchasing music right

• Company had a plan of buying a music right of the last music in order to have long term sustainibility in order to tap the current you in future.
• This was stopped due to Covid.

Conti.

• However now that company is having good gains, company is continuously buying the music right. Hence the purchase of the rights and content will be higher in the next 12 months.
• 4 Bollywood films and 8 Tollywood films.
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Aarti Drugs conducted their earnings con-call today at 4:00 PM

"Target of 4500+ cr topiline till 2025"

@unseenvalue @darshanvmehta1 @sonalbhutra @Milind4profits

Here are the key highlights 😀👇

Business Updates:
• 66.87% of revenue came from Export Market.
• Around 66% of the growth is driven by volume.
• Formulation segment grow at 5%.
• Ramping up R&D facility both for API and formulation.
• CAPEX previously planned has been in inline.

Price in API:
• In September price has gone and has stabilize and after that the price is stable.
• As per current market scenario, mgmt expects 19-20% is doable, but its still not a new normal.

CAPEX:
• Current API capacity revenue of additional 25%.
• Brown Facility and new green facility will be the main growth driver for the next 3-5 years, in order to achieve revenue target of 4,500+ cr in next 4-5 year.
• 40cr will go in this Q.
• Green field start in next year

PLI:
• Company have applied for few products, and company expects one molecule to get but this will be announced in April. This product is for capital consumption (of around 60-65 cr), and 60-65 cr will external sales.
• This will have CAPEX of 120 crores.
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Roadmap for Ethanol blending In India 2020-25:

Decoding the opportunities in Ethanol Blending in India and how certain sector can benefit out of it.

Retweet for maximum reach to spread knowledge. 🙏🙏

🧵👇

Data-facts:
• 98% of India fuel requirement in road transportation is met through fossil fuel.
• Bio fuels only consist about 2% of use for road transportation.

• Ethanol is the important part of biofuel. It is naturally produced from fermentation of sugar by years or via petrochemical process such as ethylene hydration.
• Combined ethanol distillation capacity of India is 684 crore litres

There are different types of Ethanol variants:
1. E-10: In this, 90% of usage is gasoline & 10% Ethanol.
2. E-10 is maximum used in India.
E-20:
3. In this, 80% of usage is gasoline & 20% Ethanol.

The calorific value of ethanol is around 2/3rd of gasoline

Recent Target Improvements:

• National Policy for Biofuel has increased the target of Ethanol Blending to 20% from 10%
• With low quantity around 50% of petrol sold is E10 blended & rest is unblended(E0).
• Current level of Ethanol blending is ~7-8%, & 10% is expected by 2022
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Assalam Alaiki dear Sister in Islam. I hope this meets you well. Hope you are keeping safe in this pandemic. May Allah preserve you and your beloved family. I would like to address the misconception and misinterpretation in your thread. Please peruse the THREAD below.


1. First off, a disclaimer. Should you feel hurt by my words in the course of the thread, then forgive me. It’s from me and not from Islam. And I probably have to improve on my delivery. And I may not quote you verbatim, but the intended meaning would be there. Thank You!

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Ok I was wrong about theHouse. 2 years of legislative gridlock = not fun. Few bills passing.

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Trump still gets control of judicial appointments so we can expect another 100 judges over the next two years. This time there’ll be no McCain or Flake playing the Maverick role with their swing vote.

That new margin in the Senate is huge if another Supreme Court seat comes open.

So from the responses I’m getting, people seem to think if Trump declassifies the Spygate stuff now, nothing happens.

Are you under the impression federal prosecutors have to wait until CONGRESS finishes an investigation and makes criminal referrals before the DOJ can act?

There’s a federal grand jury on McCabe right now. Did Congress ever finish it’s investigation and make a referral to the DOJ against him?

No.

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IRCTC 100% Market share in Rail Network.

IEX >90% market share in power trading.

Zydus wellness >90% market share in sugar free product.

Eicher motors >85% market share in 250cc bikes category.

MCX >85% market share in commodity trading.

Coal India >80% market share in coal production in India.

ITC >75% market share in cigarettes.

Honda Siel >75% in portable power generators.

Hindustan Zinc >75% market share in primary zinc industry.

Asahi India Glass >70% market share in automotive glass.

NRB Bearings >70% market share in needle roller bearings.

Pidilite >65% market share in adhesives.

CAMS >65% market share in RTA within mutual fund industry.

Time Technoplast >65% market share in polymer based industrial packaging.

Concor >65% market share in domestic container cargo transport.

Exide >60% market share in lead batteries.

Naukri >60% market share in the Indian job market space.

Praj >60% market share in ethanol plant installing.

Indiamart Intermesh >55% market share in the online B2B Classified space.

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*Heads-up that this thread will feature some extreme examples of homophobia and transphobia.*

Hey folks, have you ever wondered why trans people face constant accusations of fetishism, sexual predation and child abuse/grooming? Well, today let's talk about stochastic terrorism.

So, first we have to talk about what stochastic terrorism actually is. Remember when there was a conspiracy that there was a pedophile ring operating out of a pizza parlour basement, and a crazed gunman showed up? It's that sort of incitement that stochastic terrorism describes.

It's the demonisation or incitement against a group of people or individuals with the intent that other, unaffiliated parties will act upon it; it's the releasing doctored footage and a shooter show up at Planned Parenthood as a direct result of what he's been led to believe.

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Important paper from Google on large batch optimization. They do impressively careful experiments measuring # iterations needed to achieve target validation error at various batch sizes. The main "surprise" is the lack of surprises. [thread]

https://t.co/7QIx5CFdfJ


The paper is a good example of lots of elements of good experimental design. They validate their metric by showing lots of variants give consistent results. They tune hyperparamters separately for each condition, check that optimum isn't at the endpoints, and measure sensitivity.

They have separate experiments where the hold fixed # iterations and # epochs, which (as they explain) measure very different things. They avoid confounds, such as batch norm's artificial dependence between batch size and regularization strength.

When the experiments are done carefully enough, the results are remarkably consistent between different datasets and architectures. Qualitatively, MNIST behaves just like ImageNet.

Importantly, they don't find any evidence for a "sharp/flat optima" effect whereby better optimization leads to worse final results. They have a good discussion of experimental artifacts/confounds in past papers where such effects were reported.
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