Tag Archives: Cornell Tech

Seminar

Brooklyn Quant Experience Lecture Series: Sasha Stoikov

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Brooklyn Quant Experience Lecture Series, NYU Tandon

Sasha Stoikov, Senior Research Associate at Cornell Financial Engineering Manhattan (CFEM), will give the following talk on Thursday, April  15th at 9:30 AM EST. 
*Kindly note that we have changed the time to 9:30 AM on Thursdays. The new time change allows our invited international guests to join these important virtual talks.

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Meeting ID: 942 9844 6763
Password: FREBQESS

Title

The Microstructure of Cointegrated Assets

Abstract

I will present a generalization of the micro price to multiple assets. This yields a notion of fair prices, as a function of the observable state of multiple order books. I will show how to compute the microprices of two highly cointegrated assets, using Level-1 data collected on Interactive Brokers. I will then test the model by designing an execution algorithm based on this two-dimensional microprice and show that it can save half of the bid-ask spread cost.

Bio

Sasha Stoikov has 15 years of experience at the interface of academia, startups, and the financial 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.

Seminar

Cornell – Citi Financial Data Science Seminars

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Cornell Engineering. Operations Research and Information Engineering. Financial Engineering Manhattan

You and your colleagues are invited to attend the Cornell – Citi Financial Data Science Seminars at the Tata Innovation Center at Cornell Tech, Room 131. Through the talks this semester, we are excited to collaborate with Citi in highlighting machine learning applications in finance.

11 West Loop Road
New York, NY 10044

All seminars are from 6:00pm to 7:00pm. This seminar will be recorded, and you can watch the livestream.

Seminars are free. However, registration is required for NYC attendees as seating is limited.

 

Date: Wednesday, March 4, 2020
Time: 6:00 pm – 7:00 pm
Speaker: Alok Dutt | Citigroup
Title: Data Science in Financial Markets: Hype vs. Useful Practical Reality

Abstract: The data-driven fields of AI and ML are ubiquitous in the financial industry, but despite the promise there are many obstacles to effective application. Few firms are able to reap their full rewards and it is increasingly important to distinguish what works from what doesn’t in practice. How does one navigate the opportunities and challenges amid the plethora of techniques and complexities of implementation? This talk will present a number of general principles and case studies that can help make the necessary choices to realize the transformational potential of data within a financial institution.

Speaker Bio

Alok Dutt is Head of Analytics in the Markets Quantitative Analysis division at Citigroup. He is an architect and manager responsible for various advanced projects in data analytics, trading algorithms and automation across multiple business lines and asset classes. In his role at Citi he applies data and quantitative techniques to automate business processes including research, modeling, trading, simulation and visualization. Alok has extensive experience in several broad areas of quantitative finance, including derivatives modeling, algorithmic trading and market making. Before Citi, he developed the trading models and algorithms for a new automated options market making group at Morgan Stanley that was the subject of a HBS case study on disruptive innovation. Prior to that, Alok was an exotics modeler and trader and established the first multi-asset hybrid trading desk at Bank of America. Alok has a PhD in Computer Science from Yale University and a BA in Mathematics from Cambridge University.

We hope to see you there!

The Cornell-Citi Team

Directions to CFEM&Citi @CornellTech on Roosevelt Island: Take the Tram or the F train to Roosevelt Island; walk to the left along the East River until you see a modern glass building, which is the Tata Innovation Center. Once you enter the lobby and check in, walk straight ahead to Room 131.

**Please excuse any duplication of this announcement

Upcoming CFEM Events

April 1, 2020
May 6, 2020

Seminar

September 24, 2019: Cornell-Citi Financial Data Science Seminars: Miquel Noguer i Alonso (Artificial Intelligence Finance Institute)

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You and your colleagues are invited to attend the Cornell – Citi Financial Data Science Seminars at the Bloomberg Center at Cornell Tech, Room 061/071. Through the talks this semester, we are excited to collaborate with Citi in highlighting machine learning applications in finance.

2 West Loop Road
New York, NY 10044

All seminars are from 6:00 pm to 7:00 pm. This seminar will be recorded, and you can watch the livestream.

Seminars are free. However, registration is required for NYC attendees as seating is limited.

 

Date: Tuesday, September 24, 2019
Time: 6:10 pm – 7:25 pm
Speaker: Miquel Noguer I Alonso, PhD | Artificial Intelligence Finance Institute
Title: “Latest Developments in Deep Learning in Finance”

Miguel Noguer i Alonso

Miquel Noguer i Alonso is a financial markets practitioner with more than 20 years of experience in asset management, and he is the Founder of Artificial Intelligence Finance Institute. Head of Development at Global AI (Big Data Artificial Intelligence in Finance company) and Head on Innovation and Technology at IEF. He worked for UBS AG (Switzerland) as Executive Director. He is a member of European Investment Committee for the last 10 years. He worked as a Chief Investment Officer and CIO for Andbank from 2000 to 2006. He started his career at KPMG.

He is Adjunct Professor at Columbia University teaching Asset Allocation, Big Data in Finance and Fintech. He is also Professor at ESADE teaching Hedge Fund, Big Data in Finance and Fintech. He taught the first Fintech and Big Data course at the London Business School in 2017.

He received an MBA and a Degree in business administration and economics in ESADE in 1993. In 2010 he earned a PhD in quantitative finance with a Summa Cum Laude distinction (UNED – Madrid Spain). He completed a Postdoc in Columbia Business School in 2012. He collaborated with the Mathematics department of Fribourg during his PhD. He also holds the Certified European Financial Analyst (CEFA) 2000.

His research interests range from asset allocation, big data, machine learning to algorithmic trading and Fintech. His academic collaborations include a visiting scholarship in Columbia University in 2013 in the Finance and Economics Department, in Fribourg University in 2010 in the mathematics department, and giving presentations in Indiana University, ESADE and CAIA and several industry seminars like the Quant Summit USA 2017 and 2010.

We hope to see you there!

The Cornell-Citi Team

Directions to CFEM & Citi @CornellTech on Roosevelt Island: Take the Tram or the F train to Roosevelt Island; walk to the left along the East River until you see a modern, bronze building, which is the Bloomberg Center. Check in at the front desk and go downstairs to the basement, where Room 061/071 will be straight ahead on your left.

**Please excuse any duplication of this announcement

Upcoming CFEM Events

October 8, 2019
Speaker & Title TBD

November 5, 2019
Speaker: Adam Grealish (Betterment)
Title: TBD

November 12, 2019
Quant Finance Forum