Starbooked

Daniel Palomar (@danielpalomar), a professor based in Hong Kong, makes technical talks on portfolio optimization, financial time series and graph-based finance models. His channel has about 4,300 subscribers and a median of roughly 1,400 views per video, with long uploads and no recent posting. Sponsored integrations are estimated at $150 to $250 per video, reflecting the small audience.

Why brands book Daniel

Academic finance channel reaching quantitative and portfolio professionals

  • Median of about 1,388 views per video across 19 uploads
  • Long-form talks averaging around 800 seconds suit deep product explanations
  • Best 2019 talk reached 73,381 views, showing a specialist audience can scale
Best forquantitative finance softwarefinancial data serviceseducation and course promotion
Watch forUpload pace has stopped since 2025, and the audience is small and highly specialized.

Brand fit report

Content

Topics, IAB taxonomy
Business and Finance70%
Education20%
Technology and Computing10%
Formats
academic lecture recordings, conference presentations, course tutorials
Tone
technical, academic
Language
English
On camera
No, voiceover and b-roll
Production
Phone, natural light
Typical length
20 to 60 minutes

Audience

Commercial intent15/100
Comments asking for links, prices or where to buy
Sentiment70/100
Positive share of 19 comments
Engagement3.1%
Likes and comments per view on recent videos
Audience asks abouthow to build a risk parity portfoliohow graph learning applies to stock datawhich Kalman filter methods fit financial time series
Age
15%18-24
40%25-34
25%35-44
20%45+
Gender
25%women
75%men
Countries
Hong Kong30%
🇺🇸 United States20%
🇮🇳 India15%
🇧🇷 Brazil10%
LanguagesEnglish 100%

Commercial

0%of the last 50 videos were sponsored
None seenno sponsored videos in the last 50
Brands seen
None yet
Categories promoted
None yet
Affiliate links
No

No sponsorship disclosures found in the last 50 videos

Suitability GARM Brand Safety Floor + Suitability

Profanitylow
Adultlow
Drugslow
Violencelow
Politicslow

Family friendly
Academic finance lectures with no flagged content in recent titles.

We classify content, never people. No age, gender, ethnicity, religion or political views are inferred about the creator. Audience figures are estimates unless marked verified. Creators can correct anything on their profile.

Platforms

PlatformFollowersMedian viewsUploads, 90d
YouTube4.3k1.4k0
X–––

Benchmark score: 41 / 100

Public rule, same for everyone. How it works.

Engagement Median views relative to followers40 / 50
Activity Uploads in the last 90 days0 / 30
Reach Followers on the main platform1 / 20

Recent videos

Last three uploads, latest 530 days ago.

Welcome to Prof. Daniel Palomar's video channel! Here you can find technical talks on portfolio designs via optimization methods and financial data analytics, leveraging statistical modeling and deep learning techniques. 📚 Portfolio Optimization book: https://portfoliooptimizationbook.com Follow me: - Prof. Daniel P. Palomar: https://www.danielppalomar.com - GitHub: https://github.com/convexfi, https://github.com/dppalomar - LinkedIn: https://www.linkedin.com/in/daniel-palomar-8373a1b7 - YouTube: https://www.youtube.com/danielpalomar - X: https://x.com/danielppalomar - Google Scholar: https
Daniel Palomar's own profile description on YouTube

Are you Daniel Palomar? Claim or remove this profile.

About Daniel Palomar

Daniel Palomar is a professor in Hong Kong whose YouTube channel shares recorded technical talks on portfolio optimization, financial time series and graph-based finance modeling. The channel mainly posts conference presentations and course tutorials from his research group, with videos typically running 10 to 60 minutes and low production values. Information about his professional role comes from his website.

The channel has about 4,300 subscribers and a median of roughly 1,400 views per video. The viewers are likely quantitative analysts, finance students and signal processing researchers, though these are estimates rather than confirmed figures. There are no sponsorships on record, and uploads have paused since early 2025.

Brands in quantitative finance software or specialist data services may find this a niche fit. Sponsored integrations are estimated at $150 to $250 per video, which works out to roughly $150 to $250 per 1,000 views (CPM), compared with $10 to $30 CPM for typical paid ads.

Written from Daniel Palomar's public YouTube profile, platform data and web mentions. Numbers updated 2026-10-19. Daniel Palomar can edit or remove this page at any time.

Questions about Daniel

How much does Daniel Palomar charge for a sponsored video?

Estimated rates are $150 to $250 per video, based on a median of about 1,400 views. Sponsored integrations at this size are priced as a niche specialist placement rather than a mass-reach buy.

What does Daniel Palomar post about on YouTube?

He posts recorded academic talks on portfolio optimization, financial time series, Kalman filtering and graph learning for stock markets. Most videos are conference presentations or course tutorials from his research group at HKUST.

How do I contact Daniel Palomar for a brand deal?

Contact details unlock on Starbooked for $0.80. Boosted creators can be booked through Starbooked directly, and the website listed on the channel is a starting point for academic inquiries.

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