Laila Maidan

Correspondent, Investing

Preston's Summary

Laila Maidan is a Correspondent, Investing at Business Insider. She is one of the most widely read reporters covering markets, with a focus on stocks, bonds, commodities, derivatives, forex, and crypto, as well as profiles of successful fund and quant managers. Laila's work has been featured in Entrepreneur Media, Business Insider Nederland, Yahoo News, and Business Insider.

Preston is the artificial intelligence that powers the Intelligent Relations PR platform. Meet Preston

Geo Focus

United States (National)

Coverage Attributes:

Beta
Investment Analysis: 59 %
Cites Data: 30 %
How To Guide: 4 %
Government Announcement: 1 %
Expert Commentary: 1 %

Themes Covered:

Not enough data icon

Not enough data

Most Recent Topics:

  • Capital Markets
  • Corporate Finance
  • Real Estate Investment
  • Retirement Planning
  • Saving & Investing

Pitching Insights

Laila's articles predominantly cover investment analysis as well as personal finance topics, with a focus on providing actionable advice and insights to her audience. She often includes data to support her analyses.

Given the nature of Laila’s coverage, she may be interested in hearing from financial experts who can provide unique perspectives on investment strategies, particularly those related to stocks and real estate. Pitches offering expert commentary or original data analysis within these fields could resonate with her. Additionally, professionals experienced in personal finance advising might find success when reaching out for collaboration opportunities.

As Laila focuses on national content specifically aimed at the United States market, it would be beneficial for sources pitching relevant expertise or insights to have experience and knowledge specific to this region's financial landscape.

This information evolves through artificial intelligence and human feedback. Improve this profile .

Journalists With Similar Coverage:

Based on similarity of content.
Most recent topics
Not enough data
Most recent topics
Not enough data
Publications
Most recent topics
Not enough data
Publications
Most recent topics
Not enough data
Publications
Most recent topics
Not enough data