A fund does well. You fall in love with the fund house. You have a large mid and small cap scheme from them. They all tank together! Diversify. And remember being good at one thing doesn’t make you good at the other.
Ten MF mistakes I recommend you avoid...
A fund does well. You fall in love with the fund house. You have a large mid and small cap scheme from them. They all tank together! Diversify. And remember being good at one thing doesn’t make you good at the other.
Applying the same metrics to judge different asset classes. What matters to equity funds doesn’t matter to debt funds. Arb funds are fully hedged - the individual stocks don’t matter, they do in equities. Understand what matters for each asset class.
Assuming all passive funds are good because they are cheap. There are terrible passive funds out there too. They track bad indices. Or they track good ones but have a lot of tracking error. Passive requires its own set of research.
We have categories in MF but sadly all funds in a category are not comparable. Just because a website compares them doesn’t mean you should look beneath. BAF categories have funds that are static, dynamic bond funds have rolldowns. Just an example.
Everyone publishes 1y/3y/5y returns but they mean little. They matter only if you invested on this day 1/3/5 years ago. And one good month can make the entire 1/3/5 series look good. Rolling returns indicate the average investor experience.
The single most badly used statistic in MF. And the single most published. It indicates nothing about the future returns of a fund. In debt, in fact, it indicates the opposite. Ignore it.
What works for the globe should work for India. Different market, different rules. For instance ETFs have huge structural benefits in the US but in India index funds are a better structure because we don’t have a great market making infra.
Read fund manager commentary. Read market views. Read twitter blogs. But don’t open your portfolio. The single most important thing to check, is what do you hold. And it’s disclosed monthly. See it.
Buy because someone is buying, sell because a WhatsApp group says so. Personal finance is personal. 100 - age doesn’t work. Two 26 year olds may have diff liabilities, family backgrounds, professions. How can their portfolio be the same.
Lots of talk about MF fees. Do you know how much you pay in switching costs between taxes and exit loads? Every churn costs us more than we estimate, so think hard about it before you hit redeem or switch.
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1. Review your expenses and make a budget
It will help you see where you overspend, make a plan to save, pay down debt and start
Budgeting, the 50-30-20 rule, and the envelope method
— Kostas \U0001f468\u200d\U0001f4bc \U0001f4c8 \U0001f4b8 (@itsKostasWithK) January 6, 2021
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What Is the Four Percent Rule?
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3. The earlier you start investing, the better.
Here's why and how time and compounding can become your
The Miracle of Compound Interest and the Rule of 72
— Kostas \U0001f468\u200d\U0001f4bc \U0001f4c8 \U0001f4b8 (@itsKostasWithK) January 2, 2021
//THREAD// pic.twitter.com/AOqd3kL6cn
4. Invest in an index fund
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Jack Bogle, the Father of Indexing
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For a naked option to make money, it's better if IV rises or at least stays flat.
Rule 3 : DO NOT run or trade everything that moves. Focus on a few stocks and master them. When a move comes, make the max out of that move.
— Subhadip Nandy (@SubhadipNandy16) October 14, 2021
Example : in this crazy mkt, I did not even trade TataMotors this week. Stayed focussed on ITC and it gave good returns https://t.co/41wkugZg1I
This is a thread I wrote on IV, IVR etc
IV - A thread
— Subhadip Nandy (@SubhadipNandy16) September 20, 2018
In financial mathematics, implied volatility of an option contract is
that value of the volatility of the underlying instrument which, when
input in an option pricing model ) will return a theoretical value equal to the current market price of the option (1/n)
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==========================
Module 1
Python makes it very easy to analyze and visualize time series data when you’re a beginner. It's easier when you don't have to install python on your PC (that's why it's a nano course, you'll learn python...
... on the go). You will not be required to install python in your PC but you will be using an amazing python editor, Google Colab Visit https://t.co/EZt0agsdlV
This course is for anyone out there who is confused, frustrated, and just wants this python/finance thing to work!
In Module 1 of this Nano course, we will learn about :
# Using Google Colab
# Importing libraries
# Making a Random Time Series of Black Field Research Stock (fictional)
# Using Google Colab
Intro link is here on YT: https://t.co/MqMSDBaQri
Create a new Notebook at https://t.co/EZt0agsdlV and name it AnythingOfYourChoice.ipynb
You got your notebook ready and now the game is on!
You can add code in these cells and add as many cells as you want
# Importing Libraries
Imports are pretty standard, with a few exceptions.
For the most part, you can import your libraries by running the import.
Type this in the first cell you see. You need not worry about what each of these does, we will understand it later.

Risks of bat-borne zoonotic diseases in Western Asia
Duration: 24/10/2018-23 /10/2019
Funding: $71,500
@dgaytandzhieva
https://t.co/680CdD8uug

2. Bat Virus Database
Access to the database is limited only to those scientists participating in our ‘Bats and Coronaviruses’ project
Our intention is to eventually open up this database to the larger scientific community
https://t.co/mPn7b9HM48

3. EcoHealth Alliance & DTRA Asking for Trouble
One Health research project focused on characterizing bat diversity, bat coronavirus diversity and the risk of bat-borne zoonotic disease emergence in the region.
https://t.co/u6aUeWBGEN

4. Phelps, Olival, Epstein, Karesh - EcoHealth/DTRA

5, Methods and Expected Outcomes
(Unexpected Outcome = New Coronavirus Pandemic)
