Arpit Gupta (in DC Sep-Dec 2026) ✓
@arpitrage · Manhattan, NY · joined 03 Sep 2015
Associate Professor of Finance, @NYUStern. Finance/Real Estate/Urban newsletter: https://t.co/lWVJvq6vKg.
48 039Followers
5 087Following
66 580Posts total
320.3KViews on collected posts
Últimas publicaciones
Buscando publicaciones nuevas…
I think we should actively lean into this - four day weeks, six week vacations a year, etc so people enjoy leisure dividends from AI
13.2K views · 71 likes
· 3 reposts · 4 replies
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Pied a terre housing demand shifting to the rental market with new taxes, pushing up rents
19.2K views · 67 likes
· 8 reposts · 8 replies
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"Rental markets strengthened, particularly in NYC where rents topped new records. A contact noted that many prospective buyers of luxury properties in NYC shifted to the rental market following a proposed new tax on high-value 2nd homes, despite the proposal being paused"
10.6K views · 17 likes
· 0 reposts · 2 replies
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Will be exciting to see these kinds of construction productivity improvements make their way to residential building as well https://t.co/PAwVZiloso
19.4K views · 115 likes
· 11 reposts · 2 replies
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A very interesting paper which argues business degree educated managers engage in more capture of rents to equity away from workers https://t.co/1WfCVxu1gp
5K views · 41 likes
· 3 reposts · 4 replies
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WSJ: See the New Building Techniques Turbocharging the Data-Center Boom - Hyperscalers’ need for speed is spawning timesaving products and building techniques https://t.co/burBumxU0P
20.9K views · 48 likes
· 7 reposts · 3 replies
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Week 7: AI in the Workforce
• Is AI a "Normal" Technology?
• How does production need to change to incorporate AI?
• What does history say about the nature of disrupted professions and leisure time?
https://t.co/0r19IdJtlv https://t.co/oUDnBjMDgR
1.2K views · 3 likes
· 1 reposts · 0 replies
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Week six: Asset Management and Trading
• Scaling laws for alpha
• Distinguishing between spurious and genuine factors
• Who captures value when markets get more efficient
https://t.co/Wbu4tejAs6 https://t.co/xjWfOKykFY
1.8K views · 5 likes
· 2 reposts · 1 replies
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Week five: Fraud detection and compliance
• How embeddings, LLMs, and graph methods can improve fraud detection
• Where AI addresses the compliance and regulatory burden
• The arms race of AI advancing cybersecurity risks and defenses
https://t.co/zg7WHt6ovK https://t.co/yMNEf1
2.5K views · 11 likes
· 2 reposts · 1 replies
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Week four of AI in Finance:
• The economics of market intelligence
• GPT can read a 10-K, but so can everyone else, so where does alpha go?
• How to simulate your customers
https://t.co/XTY4Gu2nPW https://t.co/YiYCBm4D1b
1.8K views · 3 likes
· 1 reposts · 2 replies
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Week three of the AI in Finance course:
• The economics of credit scoring from ledgers to ML and digital footprints
• How AI lets banks lend to strangers
• Why better models create new risks
https://t.co/b4N6EAU0er https://t.co/1VZiO0BOLH
2.4K views · 10 likes
· 3 reposts · 1 replies
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Week two of the AI in Finance course:
• Financial document intelligence
• The jagged frontier of AI capabilities
• Why your AI is lying to you, will we ever get to truth, and how to use RAG to deal with it
https://t.co/UmNMIx1lpZ https://t.co/VeVnLUWQaG
2.6K views · 8 likes
· 4 reposts · 1 replies
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@arpitrage Amazing Arpit! Will you record and make it available on YT?
1.5K views · 2 likes
· 0 reposts · 1 replies
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The inspiration here was @joshrauh and his open sourced course on Energy Finance.
3.9K views · 17 likes
· 1 reposts · 0 replies
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I'm teaching a new course at Stern on AI in Finance and opening it up!
Syllabus/slides on Github: https://t.co/YLYrvk1F6d
Weekly summaries on Substack
https://t.co/ctawgxoKT2
First post is on Amdahl's Law, Jevons' Paradox, and why finance was slow to learn the bitter lesson h
214.2K views · 1.3K likes
· 196 reposts · 25 replies
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Frente a cuentas del mismo tamaño
6 publicaciones de los últimos 90 días, junto al rango de 10K–100K seguidores. llega a mucha gente, pero pocos de esos espectadores reaccionan.
Visualizaciones medianas16 220esta cuenta924mediana de 10K–100K
Alcance, %33.76%esta cuenta3.62%mediana de 10K–100K
Interacción, %0.51%esta cuenta1.52%mediana de 10K–100K
| Métrica | Esta cuenta | Mediana de 10K–100K | Proporción |
|---|---|---|---|
| Visualizaciones medianas por publicación | 16 220 | 924 | 17.6× |
| Alcance (visualizaciones ÷ seguidores) | 33.76% | 3.62% | 9.33× |
| Tasa de interacción | 0.51% | 1.52% | 0.34× |
Otras cuentas de este rango → Comparar con otra cuenta → Cómo se construyen estas referencias →
Growth & engagement
How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.
Views per post
3.9K2 Feb
1.5K3 Feb
2.6K9 Feb
2.4K23 Feb
1.8K19 Mar
2.5K5 Apr
1.8K15 Jun
1.2K10 Aug
20.9K2 Sep
5K
19.4K
10.6K
19.2K
13.2K
Last 14 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.
Engagement rate per post
0.46%2 Feb
0.20%3 Feb
0.49%9 Feb
0.57%23 Feb
0.34%19 Mar
0.57%5 Apr
0.45%15 Jun
0.33%10 Aug
0.30%2 Sep
0.96%
0.67%
0.22%
0.44%
0.59%
Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.52%.
What the audience does
Likes40.0%1 754 in total
Reposts5.5%242 in total
Replies1.3%55 in total
Quotes0.5%22 in total
Bookmarks52.7%2 307 in total
Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.
The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.
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Frequently asked questions about @arpitrage
How many followers does @arpitrage have?
48 039 followers.
How many posts has @arpitrage published?
66 580 posts.
How do posts by @arpitrage perform?
Collected posts: 15. Views: 320 345. Likes: 1 754.