A few things that I didn't cover yesterday when I talked about equity factor models (it's a huge area and it's impossible to more than scrape the surface)

1. How do you get the exposure matrix Xt?

There are different ways to estimate it, depending on the factor. Simplest is factors like industry or country exposure where the entries can be 0/1 depending on whether the stock is in that industry/country or not.
Some exposures can be estimated by linear regression on historical data, if you already have a time series which approximates the factor returns. E.g. exposure to the market factor (beta) is estimated this way, by regressing each stock against the S&P 500 (or some other index)
This also works for "macro" factors e.g. you can estimate exposures for each stock to commodity prices, exchange rates, interest rates, GDP or inflation surprises etc by regressing stock returns against the relevant historical time series.
Finally you can have exposures which are heuristically derived from other observable data about the stock, e.g. accounting data, analyst reports, past price movements etc. In this case you find some metric which measures the factor you care about (e.g. price to earnings) and
transform it so that it has a nice distribution in the cross-section - common approaches are z-scoring (subtract mean and divide by standard deviation) or ranking (the stock with the lowest metric gets exposure -1, highest gets +1 and others are linearly spaced between -1 and +1)
You want all the entries in the exposure matrix to have a similar scale (generally -3 <= X(i,j) <= +3 for all entries) as this makes it much easier to compare the factors with each other.
Implementation note -- with linearly dependent factors (e.g. each stock is in exactly one industry so sum of industry exposures equals market exposure) you can't use the normal equations below. You need a constraint on the factor returns. https://t.co/miAGIQPBV5
(Normally you would require the sum of all industry factor returns to be zero, sum of all country factor returns to be zero etc)
2. How many factors do you need?

It varies depending on the application. The simplest models would have just a few, maybe the market factor plus a couple of others that you care about (think about Fama-French 3 factor or 5 factor model) but it will normally be more.
A quant equity market neutral strategy might have a market factor, 20-40 industry factors, maybe ~10 country factors, 0-10 other risk factors (e.g. commodity exposure, currency exposure) and 10-50 alpha factors. So anywhere from 30-100 factors would be pretty common.
3. Wait, so you can literally make a factor out of anything?

Yes -- you hear a lot about the well known ones like value, momentum quality etc but there are hundreds of others which are widely known in academia and industry and thousands of proprietary in-house factors.
One way to tell if a factor is meaningful is to see how well it explains risk in the cross-section (equivalently what is the volatility of the factor return). For example the US market factor has ~20% annualized vol, a big factor like momentum will have 8-10% annualized vol, and
other factors that explain a meaningful component of returns might have 3-6% annualized vol. By comparison a random factor (literally generate random factor exposures between -1 and +1 each day) will have annualized vol of ~1% on the top 2,000 US stocks.
So if your factor return has only 1-2% annualized vol it is probably not explaining much risk. It may still have a positive expected return, but I would be skeptical whether that is real vs. over-fitting to past data.

More from Society

I’ll address every nonsense argument and lie used to defend the suicidal gender ideology Thats in vogue today:

3:45 - “So what if you don’t have gametes?”

It’s called a birth defect. You’re still male or female.


~5:00 *nonsense trying to say the sexes of seahorses could be swapped coz male carry the eggs*

male doesn’t produce eggs, he produces the sperm. He’s still the male. If I impregnated a chick then carried the amniotic sac in a backpack ‘til the baby was done I’ll still be male🤦‍♂️

5:10 - we could say there’s 4 sexes of fruit fly cause there’s 3 producers of different sized sperm

No. They’re still producing sperm. They’re males. This is idiotic. Is this whole video like this? (Probably. 99% likely. Abandon hope.)

~6:10 - hermaphroditism and sequential hermaphroditism exists therefore....

No. Some animals being hermaphrodites, which is meaningless w/o the existence of binary sex to contrast it to, still doesn’t make gender ideology or transgenderism valid.

Intersex ≠ transgenderism 🙄

6:20 - bilateral gynandromorphism is a disorder in some species (not in humans). Has nothing to do w/ “gender” or transgenderism.

Ova-testes in humans are also a disorder, usually found in those w/ the karyotype disorders that you ppl also try to appropriate (extra X’s/Y’s).

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प्राचीन काल में गाधि नामक एक राजा थे।उनकी सत्यवती नाम की एक पुत्री थी।राजा गाधि ने अपनी पुत्री का विवाह महर्षि भृगु के पुत्र से करवा दिया।महर्षि भृगु इस विवाह से बहुत प्रसन्न हुए और उन्होने अपनी पुत्रवधु को आशीर्वाद देकर उसे कोई भी वर मांगने को कहा।


सत्यवती ने महर्षि भृगु से अपने तथा अपनी माता के लिए पुत्र का वरदान मांगा।ये जानकर महर्षि भृगु ने यज्ञ किया और तत्पश्चात सत्यवती और उसकी माता को अलग-अलग प्रकार के दो चरू (यज्ञ के लिए पकाया हुआ अन्न) दिए और कहा कि ऋतु स्नान के बाद तुम्हारी माता पुत्र की इच्छा लेकर पीपल का आलिंगन...

...करें और तुम भी पुत्र की इच्छा लेकर गूलर वृक्ष का आलिंगन करना। आलिंगन करने के बाद चरू का सेवन करना, इससे तुम दोनो को पुत्र प्राप्ति होगी।परंतु मां बेटी के चरू आपस में बदल जाते हैं और ये महर्षि भृगु अपनी दिव्य दृष्टि से देख लेते हैं।

भृगु ऋषि सत्यवती से कहते हैं,"पुत्री तुम्हारा और तुम्हारी माता ने एक दुसरे के चरू खा लिए हैं।इस कारण तुम्हारा पुत्र ब्राह्मण होते हुए भी क्षत्रिय सा आचरण करेगा और तुम्हारी माता का पुत्र क्षत्रिय होकर भी ब्राह्मण सा आचरण करेगा।"
इस पर सत्यवती ने भृगु ऋषि से बड़ी विनती की।


सत्यवती ने कहा,"मुझे आशीर्वाद दें कि मेरा पुत्र ब्राह्मण सा ही आचरण करे।"तब महर्षि ने उसे ये आशीर्वाद दे दिया कि उसका पुत्र ब्राह्मण सा ही आचरण करेगा किन्तु उसका पौत्र क्षत्रियों सा व्यवहार करेगा। सत्यवती का एक पुत्र हुआ जिसका नाम जम्दाग्नि था जो सप्त ऋषियों में से एक हैं।
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