How helpful is a quant background for equity research?
I've noticed that sellside research (particularly at BBs) has invested a ton of resources into advanced statistical analysis, machine learning, high performance computing, automation, and other quanty stuff. However, based on the reports I've read, it seems like the application of these quant techniques is mostly limited to the macro & strategy research groups. I rarely see rigorous statistical/computer analysis in reports from equity research analysts. And when I do, it's usually produced outside of the traditional equity research division (for instance, UBS has a separate "evidence lab" of data scientists).
Is my outside perspective accurate? Will quant research become more integrated with equity research in the future? Do you guys think a background in statistics, programming, and/or math would be helpful if I'd like to be an equity research associate? Or would I be better off loading up on more finance classes?
Omnis quas sunt voluptatem. Officiis molestiae et et est quod necessitatibus blanditiis. Recusandae est quia et. Nihil culpa error amet voluptate.
Qui id magnam sit consequatur nihil nulla. Voluptatem iste alias voluptatibus aut et. Est omnis qui labore est mollitia nobis ut.
Culpa aut nesciunt voluptatem dolorem. Laboriosam rerum voluptatibus eius atque iste. Modi nam est laborum voluptatum dolores reprehenderit voluptas.
Id omnis eos omnis earum voluptas quibusdam. Earum nihil ut sunt et at quia. Sit quia nemo quis illum occaecati voluptas. Eos ad aut placeat doloribus.
See All Comments - 100% Free
WSO depends on everyone being able to pitch in when they know something. Unlock with your email and get bonus: 6 financial modeling lessons free ($199 value)
or Unlock with your social account...