@nat.hayday: Festival design ideas #hayday #aestheticvideos #creatorsearchinsights #viral #haydaydesigns

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Thursday 27 August 2026 14:30:08 GMT

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Farm.mimi :

So peaceful and pretty!🤎

2026-08-28 14:08:49

0

rr0 :

wow! What a brilliant design

2026-08-27 19:06:49

1

lucy🧘🏼‍♀️ :

I love the theme this time! So exited to Design 🥰

2026-08-27 15:12:34

1

Spektra Fantom :

The design looks amazing! 😍

2026-08-27 15:34:26

2

Sidley’s Farm :

U nailed it, Nat ❤️💞👏🌻

2026-08-28 06:32:11

1

Hayday Living :

Okay, this is so nice and beautifully done!! Love this layout so much, Nat! 🥰

2026-08-27 17:41:34

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To see more videos from user @nat.hayday, please go to the Tikwm homepage.

Other Videos

mời anh đi bơi nhá 🐬 #viral #Meme

mời anh đi bơi nhá 🐬 #viral #Meme

What if having less data actually made your portfolio better? Classical portfolio theory says this should fail. When N > T, the sample covariance matrix becomes singular and you can construct portfolios with zero in-sample variance. Most people would call this overfitting. But a recent preprint by Chang, Ding, Shi and Zhang (2026) shows something more subtle. Using a simple estimator called Ridgelet, which adds a tiny fixed perturbation to the covariance matrix, they show that out-of-sample risk follows a double descent curve. Risk increases as you approach the interpolation threshold N = T, but once you move deep into the overparameterized regime N >> T, it decreases again. The intuition: when many portfolios perfectly fit the data, the estimator selects the minimum L2-norm solution, which can generalize well. The same phenomenon that drives modern overparameterized neural networks shows up in portfolio construction. This is a preprint, not yet peer-reviewed. Limitations: -> The theory relies on factor model assumptions and random matrix asymptotics -> The

> T, not just slightly above -> Performance depends on the covariance structure -> A naive pseudoinverse approach fails badly out-of-sample Paper -> arXiv:2602.19462 #finance #quant #trading #algotrading #stocks" width="135" height="240">
What if having less data actually made your portfolio better? Classical portfolio theory says this should fail. When N > T, the sample covariance matrix becomes singular and you can construct portfolios with zero in-sample variance. Most people would call this overfitting. But a recent preprint by Chang, Ding, Shi and Zhang (2026) shows something more subtle. Using a simple estimator called Ridgelet, which adds a tiny fixed perturbation to the covariance matrix, they show that out-of-sample risk follows a double descent curve. Risk increases as you approach the interpolation threshold N = T, but once you move deep into the overparameterized regime N >> T, it decreases again. The intuition: when many portfolios perfectly fit the data, the estimator selects the minimum L2-norm solution, which can generalize well. The same phenomenon that drives modern overparameterized neural networks shows up in portfolio construction. This is a preprint, not yet peer-reviewed. Limitations: -> The theory relies on factor model assumptions and random matrix asymptotics -> The "good" regime requires N >> T, not just slightly above -> Performance depends on the covariance structure -> A naive pseudoinverse approach fails badly out-of-sample Paper -> arXiv:2602.19462 #finance #quant #trading #algotrading #stocks

*6 LED SOLAR FENCE LIGHT PACK OF 4. Rs.1800*/- WhatsApp 03127070711

*6 LED SOLAR FENCE LIGHT PACK OF 4. Rs.1800*/- WhatsApp 03127070711

World Cup Final & Semi-Final Game - 100 Seconds የግማሽ ፍፃሜ እና የፍፃሜ የዓለም ዋንጫ ጨዋታን ሙሉ ወጪ ተሸፍኖ መጫወቻ ስታዲየሙ ድረስ ሄዳችሁ ማየት ምርጥ አጋጣሚ፡፡ ------- It's a great opportunity to go to the stadium and watch the semi-finals and finals of the World Cup at full cost. 100 seconds by @Ethio telecom #mataniahtedla #100seconds #WorldCup #FifaWorldCup #Ethiotelecom

World Cup Final & Semi-Final Game - 100 Seconds የግማሽ ፍፃሜ እና የፍፃሜ የዓለም ዋንጫ ጨዋታን ሙሉ ወጪ ተሸፍኖ መጫወቻ ስታዲየሙ ድረስ ሄዳችሁ ማየት ምርጥ አጋጣሚ፡፡ ------- It's a great opportunity to go to the stadium and watch the semi-finals and finals of the World Cup at full cost. 100 seconds by @Ethio telecom #mataniahtedla #100seconds #WorldCup #FifaWorldCup #Ethiotelecom

Ga sabar liat Arya saloka jadi ustad Adam🫣 #Filmmunafik #MunafikMelawanIblis #BahayaJadiMunafik #MunafiknyaIndo #filmhoror #aryasaloka #fyp #rekomendasifilm

Ga sabar liat Arya saloka jadi ustad Adam🫣 #Filmmunafik #MunafikMelawanIblis #BahayaJadiMunafik #MunafiknyaIndo #filmhoror #aryasaloka #fyp #rekomendasifilm

#cejour-là

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