Managing and growing an online community of (139k) prop traders and Quants to interact with others who design, build, test and run Automated Trading Systems.
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"The first beautiful thing about expectations investing is, it actually reverse engineers the process. One thing we know for sure is the price, and then you basically are asking a simple question: what has to happen for this price to make sense?"
@mjmauboussin
My conversation with the great and wise @mjmauboussin . We cover a lot of ground, including:
* The 3 Most Powerful Ideas From Expectations Investing
* How To Calculate The Cost Of Capital?
* The Importance Of Base Rates In Valuation
* Buying Things For Less Than They’re Worth
Thanks @mjmauboussin for the timeless Expectations Investing, one of my all-time favorites among investing books. Covering most of what an investor need to know. Find my review @Investbythebook
This is a useful approach: “Should Intangible Investments Be Reported Separately or Commingled with Operating Expenses? New Evidence” https://t.co/leIjGUaSJV
@MebFaber Great podcast (as always) from @mjmauboussin and @Greenbackd
Covers a wide range of topics from 1st principles including multiples, DCFs, reversion to the mean & skill vs luck. Also mentions one of my fave books 3 Rules: How Exceptional Companies Think
https://t.co/xQhTNdPLRn
How investors can take advantage of behavioral inefficiencies:
1. Be Mindful Of Sentiment And Overextrapolation
2. Rely On Valuation
3. Lean On Facts
4. Timing
5. Listen To Benjamin Graham
From "Who Is On The Other Side" by @mjmauboussin
25iQ Terms of the Day: "Profit pool: the distribution of an industry’s value creation at a point in time. The horizontal axis measures size, typically invested capital or sales as a percentage of the industry, and the vertical axis measures profitability."https://t.co/ifMHQtDgKb
Hey @mjmauboussin and @amaub
Another downside to using natural language terms to express probabilities.
Not only do people disagree about what these terms mean, they also treat them as additive rather than taking averages.
@Stefano_Peron We should look at drawdowns relative to long-term volatility. In 2008, money market funds broke the buck when their values dropped to 0.90-0.95. Not much in absolute terms but a whip-out relative to their vol. Both vol (short-term) & draw-down (long-term) management are important
Sanjoy Bhattacharya has brilliantly distilled the best-in-class behavioural economics lessons from the legends like. Pure gold 🥇
James Montier
@mjmauboussin
Daniel Crosby
@jasonzweigwsj
Leave everything and jump onto this one!!
https://t.co/fDdwQqeJvl
Our paper on the overrewarding of lucky successes is now published!
We looked at over 10k football shots landing on posts. Players who are—just—successful get more playing time and higher ratings, than those who are—just—unsuccessful.
In REStat, ungated: https://t.co/KikSbHDWAL