The 2008 crisis occurred because of too much leveraged risk concentrated in few places. It is easy for an institution with limited liability to fail and take hundreds of jobs with it. This is an open letter to SEBI (Securities and Exchange Board of India), addressing the discouragement of retail participation in the financial markets that it proposes so often.


Why do we do things a certain way?

Why do we spread out a country’s debt over a large period of time? Because, a lot of unfeasible liability suddenly starts to look feasible when spread among a lot of people (the taxpayers) over a large amount of time.

Why do we have democracies instead of dictatorships? Because we’ve learned through experience that the power to govern a country should lie with the people of the country and not with a single person. It is easy to corrupt an individual, harder to corrupt an entire population.

When we need to bring trust to a financial transaction, why is the block-chain a feasible alternative to having a third party (bank, escrow, etc.)? Because we know that the consensus of the majority of the population won’t be wrong. If a transaction can be verified by the majority, trust prevails.

These things are done the way they are because there is less risk involved. It is a good idea to ensure that there aren’t a scarce number of entities controlling any kind of decision making. They are susceptible to making a huge mistake and dragging everyone else with them. The consequences of the decisions that lead to the 2008 financial crisis and the consequent bailouts of the american banks and automakers affected every single tax payer in the country even though they had no role in the decision making that lead to this in the first place.


We can goof up but you can’t!

Why is it that despite everything mentioned above, the decisions that affect just an individual without any collateral damage to others are a restricted commodity? Securities and Exchange Board of India (SEBI), in the name of risk management, continues to increase lot sizes to restrict retail participation in derivatives. Is this not, instead of distributing the risk, concentrating it in a few hotspots – the institutions? How is this, in any way, reducing the liability of taxpayers if and when something goes catastrophically wrong? How does this, in any way, stop the market from being controlled by a select few when the action itself is empowering the strong and weakening the feeble?


Let there be freedom and transparency

Will encouragement of participation by retail investors not be a step towards better financial literacy? It might involve some short term pain while the population gets educated about these instruments. The long term benefits though, far outweigh the short term cons. On top of that, instead of the taxpayer bailing out the institutions, let the individuals have the profits and the losses to themselves. Let the decision makers own their decisions and their consequences.

How about redirecting these efforts towards ensuring transparency in the stock markets to prevent illegitimate transactions from happening. How about letting the market have better instruments that allow investors to come to a consensus about the price of a security. Easier access to derivatives will allow for better price-finding simply owing to the fact that more people will be able to short and hedge, when needed.


Empower everyone while reducing risk: Winning while winning

How will a retail client hedge 100 quantity of his stocks in a listed company when the lot size itself is 5000 or 3000? Why will a trader or investor pay a monthly option premium amount equal to the value of his holdings? Why is it that when someone wants to pick up a stock using a cash covered put, he or she cannot do so without committing to an amount 10 times higher than the quantity they actually want? Is it not better to be able to lose small?

A lot of stock exchanges have standard lot sizes for derivative contracts, regardless of what the price of the stock or underlying is. To be a matured market, we need to act like one. It is never a good idea to try to control the actions of people. Let there be financial freedom, let there be transparency, and let there be ownership of one’s actions. Babysitting does not apply to adults.

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US is an oil consumer. It does produce oil but it’s mostly viable in times with high oil prices which is anyway detrimental to its current consumption based industries.

Apparently, the US is not happy with the nuclear sanctions’ deal with Iran and withdrew from it, asking for more stringent terms while also accusing it of not complying with the terms of the earlier sanctions.

These are the statements made by this country. Statements are just that and may not be the actual truth.


The coincidence:

How is it that by simply imposing the sanctions on Iran, and urging/threatening others (EU, India, etc.) with doing the same, it has effectively secured a bigger share of the world’s oil consumption for its long time ally – Saudi Arabia while also keeping the prices low for itself.

The Saudis, whose margins have been hit due to low oil prices have been wanting higher prices. An increase in volumes gets them the higher profits they desire while keeping the margins and prices low. Higher profits for Saudis also mean greater sales for US manufactured defense equipment for which Saudis are a big customer.

Many might argue that since the US is such a big producer of oil (the biggest producer as of this post), would it not benefit from higher crude oil prices? The truth is, while it is the biggest producer of oil, it also is its biggest consumer. President Trump has also complained of high fuel prices from time to time. High oil prices raise the input costs for a lot of industries (plastics for example) and also have other effects (logistic costs and vehicle sales for example). The low prices help the US industries that consume oil or are indirectly affected by high oil prices.

Win-win while making Iran look like the bad guy.


Update (20/11/2018): When this lead to the oil price shooting up, the US gave sanction waivers to a few countries, reducing the demand pressure by a little bit (bringing a bit of stability in oil prices).

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I have a dearth of free time almost everyday. Any spare time I get is usually spent in either coding or reading. While it is fun to spend time exercising, it just isn’t possible for quite a lot of individuals.

Vince Gironda emphasized on high intensity but short duration exercises. According to him, a 15 minute exercise session will give better results than a 30 minute session with the same volume. Taking that into consideration, and knowing I would like to spend as little time as possible in exercising, I’ve experimented with a few routines and have finally settled into one where I only perform one set of one exercise a day after a little warm up.

The rules are simple:

  • One set of one exercise a day.
  • The set will be done till absolute failure – this is what makes this routine work.
  • The target is to beat the previous best record for that exercise.

The best part is that you only need to spend 4 or 5 minutes in exercising per day. I typically have some DOMS till next day and the daily caloric maintenance stays up by around 220 calories for me compared to the days when I don’t exercise. To me this implies that the intensity of the routine is quite adequate (especially considering how little time I spend on exercising).

I typically make a new routine every month, usually by replacing a few exercises in the last month’s routine. My current month’s routine/schedule looks like this (Do remember that I’ve named these exercises with my own terminology which may not match the actual names.):

I exercise my legs with some jumping squats, sprints, jogging and cycling almost thrice a week.

Hope this helps 🙂

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Hi, I’m Jashanjeet, the domain’s namesake :). I’m starting this journal as a place to structure my thoughts and to consolidate ideas that I come up with or come across. I’m usually experimenting with Neural Networks, Machine Learning and often, Cars and Motorcycles.

I worked at a FinTech company before I quit to make a living through the stock market. Trading in the stock market gives me enough freedom to spend time pursuing the activities that interest me; Machine Learning occupies a pretty significant portion of this time currently.

Here are the topics that I like to talk about mostly:

  • Finance, Investing and Trading
  • Neural Networks and Machine Learning
  • Product ideas
  • Cars and Motorcycles
  • Renewable energy
  • Health

I’m looking forward to interesting thoughts and discussions.

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