More from Sahil Sharma

Given the immense interest in this #investment #process thread about how to get investment ideas, thought of creating a logical follow-up 🧵

Given that I have an idea & some sense for valuation & growth, how do i construct a portfolio?

If you like the thread, plz RT.


First thing worth mentioning is that I am only describing my own process. Others can follow a different process which could work for them.

Opposite of a good idea can also be a good idea

Before understanding the process itself, it is important to understand the problems the process is being designed to solve for. What are the key hurdles or troubles I have faced in designing my PF.

Hurdles
1. At any given point in time (in the past) i have only known deeply about 5% of the listed universe in India, or lower. When I say know deeply I mean read an annual report, an investor presentation, a concall, understood why the business is how it is.

2. I only started my corporate life 4 years ago, so my pf size is small compared to yearly savings. This means that I need to deploy large incremental capital every year at least for next few years. This cant be a buy & track pf, this is a keep buying & tracking for a few yrs pf

More from Ds

1/

Get a cup of coffee.

In this thread, I'll walk you through 2 probability concepts: Standard Deviation (SD) and Mean Absolute Deviation (MAD).

This will give you insight into Fat Tails -- which are super useful in investing and in many other fields.


2/

Recently, I watched 2 probability "mini-lectures" on YouTube by Nassim Taleb.

One ~10 min lecture covered SD and MAD. The other ~6 min lecture covered Fat Tails.

In these ~16 mins, @nntaleb shared so many useful nuggets that I had to write this thread to unpack them.

3/

For those curious, here are the YouTube links to the lectures:

SD and MAD (~10 min):
https://t.co/0TwubymdE6

Fat Tails (~6 min):

4/

The first thing to understand is the concept of a Random Variable.

In essence, a Random Variable is a number that depends on a random event.

For example, when we roll a die, we get a Random Variable -- a number from the set {1, 2, 3, 4, 5, 6}.

5/

Every Random Variable has a Probability Distribution.

This tells us all the possible values the Random Variable can take, and their respective probabilities.

For example, when we roll a fair die, we get a Random Variable with this Probability Distribution:

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