@quantfinancetogo: ➡️ Part 26 of Quantitative Finance From Scratch: the size factor. A company's size on the stock market is its market value, the share price times the number of shares. The classic size portfolio buys the smallest stocks, sells the largest and rebalances once a year. In our simulation (500 simulated stocks, 50 years, assumed numbers) the size portfolio earns 3.0 % a year with a t statistic of 2.21 while the built-in premium is switched on. From an assumed publication year on, the premium is switched off. That drop is an assumption built into the model, not a result of it. After that point the portfolio earns -0.2 % a year (t -0.11). It is a model, so it shows how the method works, not what real markets will pay. The chart in the hook is a schematic, not real data. In real markets, the size effect became much weaker after it was published in the early eighties, and researchers still debate whether a small premium remains. Education only, not financial advice. #quantfinance #sizefactor #factorinvesting #python #finance

QuantFinanceToGo
QuantFinanceToGo
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Saturday 17 October 2026 17:41:55 GMT
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cmoney991
Cmoney 725 :
These visuals are so good… I know all of these models but I watch every single one so intensely.
2026-10-20 10:12:42
0
mypybite
Mypybite :
Growth of 3% inflation is out pacing that. What did I miss?
2026-10-21 06:08:34
0
kahawakawa
___123 :
Blame ETFs
2026-10-17 22:02:36
6
stanleyajacob
Stan :
Probably not true in the last few years with a few giant megacorps
2026-10-17 20:09:17
3
unbotherables
Unbotherables · Options & Risk :
Switching the premium off on screen is the honest move. t = 2.21 before, −0.11 after. Published edge, gone edge. Does value in Part 25 fade the same way?
2026-10-17 18:26:01
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