6:00 PM Seminar Begins

7:30 PM Reception

Hybrid Event:

Fordham University

McNally Amphitheater

140 West 62nd Street

New York, NY 10023

Free Registration!

For Virtual Attendees: Please select Virtual instead of member type upon registration.

Proof of Vaccination Upon Entry is Required for In-Person Attendees

Abstract:

How can a market making algorithm use information in the order book when computing bid and ask quotes? Market making models, such as Avellaneda and Stoikov (2008), compute bids and asks around the midprice, to minimize inventory risk. In practice, the midprice may be a poor estimate of the fair value, particularly for cryptocurrencies, where the tick size is relatively small. Using Bitcoin data, I backtest market-making strategies around the midprice, as well as other microstructure adjusted prices. In particular, a new definition of fair price, which we call the Volume Adjusted Mid Price (VAMP) consistently outperforms the mid price, from the perspective of a market maker.

Bio:

Sasha Stoikov has 15 years of experience at the interface of academia, startups and the finance industry. He is a Senior Research Associate at Cornell Financial Engineering Manhattan (CFEM) and was a VP of High Frequency trading at Cantor Fitzgerald. He has also launched a music tech startup called Piki.

Financial Engineers Give a Personal View of Their Careers in Quantitative Finance

A Series of Panel Discussions for Students Interested in a Career in Quantitative Finance

Tuesday, March 28th

Program: 6:30 p.m.

Reception: 8:30 p.m.

2201 G Street, School of Business

Funger Hall Suite 108

Washington DC, NW 20052

In Partnership with:

The George Washington University

School of Business

Panelists

TBA

Moderator

TBA

Registration is Free!

Proof of Vaccination is Required

Sponsored by: