Insights of a noob:
10 things I've learned from 18 months in the financial services industry.
👇🧵
Negative compounding is a thing, it occurs from the buildup of fees and taxes over time (there is a link to an article which explains this in more detail in point 9).
@MavenAdviser summed it up perfectly in a recent podcast, 'financial success takes place between your ears, not on a computer screen'.
Over the long term markets do not lose money, however investors do.
A study found that over a 20 year period ‘the average investment return was 11.81%. The average investor return was 4.48%.’
You are not god's gift.
You can't predict the future.
Market timing is futile.
Day trading may sound exciting and you may feel like the Wolf of Wall Street - most of the time you are just mugging yourself off.
If you want to have an extra focus on a particular asset/market, dabble in that on the side, do not make it the centre of your portfolio (if you are unsure why, see point 4).
It may be the worst possible decision an investor can ever make, potentially wiping out a huge chunk of their net worth in one go.
Take a breath, step back and THINK.
If you are going to buy back in when the markets start to rise again, then YOU have acknowledged that it is just a TEMPORARY decline!
DON’T DO IT!
Learn the difference between volatility and risk and you will soon realise that the real risk is not being in the market.
This rings especially true for the financial media.
Sensationalist writing sells - unfortunately level headed, evidence based commentary does not. Learn to tune out the noise and crack on.
Spend less than you earn.
Pay yourself first.
Keep a close eye on fees and tax.
It drives home the importance of your savings rate and the impact of negative compounding (touched upon in point 2).
https://t.co/d30XxFjsWu
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Two year back thread on MFI, someone liked this so came up in notifications . Rather than running around 100s of indicators, I have made this my go to indicator under any circumstances and have been using this for years
This thread actually had some great answers , one can learn a lot about the thought processes of different traders from the answers. Please go thru them
What do you think/use as the most robust leading indicator if following technical analysis ? Please answer with reason , I will provide my answer after 2 hours
— Subhadip Nandy (@SubhadipNandy16) August 12, 2019
( At Delhi airport , bored as hell )
This thread actually had some great answers , one can learn a lot about the thought processes of different traders from the answers. Please go thru them
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1/OK, data mystery time.
This New York Times feature shows China with a Gini Index of less than 30, which would make it more equal than Canada, France, or the Netherlands. https://t.co/g3Sv6DZTDE
That's weird. Income inequality in China is legendary.
Let's check this number.
2/The New York Times cites the World Bank's recent report, "Fair Progress? Economic Mobility across Generations Around the World".
The report is available here:
3/The World Bank report has a graph in which it appears to show the same value for China's Gini - under 0.3.
The graph cites the World Development Indicators as its source for the income inequality data.
4/The World Development Indicators are available at the World Bank's website.
Here's the Gini index: https://t.co/MvylQzpX6A
It looks as if the latest estimate for China's Gini is 42.2.
That estimate is from 2012.
5/A Gini of 42.2 would put China in the same neighborhood as the U.S., whose Gini was estimated at 41 in 2013.
I can't find the <30 number anywhere. The only other estimate in the tables for China is from 2008, when it was estimated at 42.8.
This New York Times feature shows China with a Gini Index of less than 30, which would make it more equal than Canada, France, or the Netherlands. https://t.co/g3Sv6DZTDE
That's weird. Income inequality in China is legendary.
Let's check this number.
2/The New York Times cites the World Bank's recent report, "Fair Progress? Economic Mobility across Generations Around the World".
The report is available here:
3/The World Bank report has a graph in which it appears to show the same value for China's Gini - under 0.3.
The graph cites the World Development Indicators as its source for the income inequality data.
4/The World Development Indicators are available at the World Bank's website.
Here's the Gini index: https://t.co/MvylQzpX6A
It looks as if the latest estimate for China's Gini is 42.2.
That estimate is from 2012.
5/A Gini of 42.2 would put China in the same neighborhood as the U.S., whose Gini was estimated at 41 in 2013.
I can't find the <30 number anywhere. The only other estimate in the tables for China is from 2008, when it was estimated at 42.8.