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The Cambridge-INET Institute - continuing as the Janeway Institute

 

Workshop on Big Data in Economics and Finance

The Janeway Institute and the Cambridge Endowment for Research in Finance (CERF) are sponsoring a Workshop on Big Data in Economics and Finance. The event will be held in the Winstanley Theatre at Trinity College, University of Cambridge from 15th - 16th May 2023, times TBC.

Event Date: Monday 15th May 2023 - Tuesday 16th May 2023

Tags:

Big Data

Economics

Finance

Theme: empirical


Big Data Methods in Econometrics and Finance

Cambridge-INET and CERF are holding an conference "Big Data Methods in Econometrics and Finance" on 20th and 21st May 2019, from 9.00am - 5.00pm, in Winstanley lecture theatre, Trinity College, Cambridge.

Event Date: Monday 20th May 2019 - Tuesday 21st May 2019

Tags:

Big Data

Econometrics

Finance

Theme: empirical


Big Data in Financial Markets Conference

Cambridge INET and CERF will be holding a Big Data in Financial Markets conference on 24th - 25th May 2018 in Winstanley theatre, Trinity College. Please register your interest.

Event Date: Thursday 24th May 2018 - Friday 25th May 2018

Tags:

Big Data

Financial Markets

Theme: empirical


Moving away from Theoretical Models

Professor Vasco Carvalho discusses how new sources of large amounts of data are providing opportunities to test previously untestable things.

Published on: Tuesday 8th May 2018

Tags:

Theoretical Models

Big Data

Theme: transmission


Big Data Big Methods Conference

Cambridge-INET and Centre for Microdata Methods and Practice (Cemmap) are hosting a Big Data Big Methods Conference in the Winstanley Lecture Theatre, Trinity College on Tuesday 29 - Wednesday 30th September 2015.

Event Date: Tuesday 29th September 2015 - Wednesday 30th September 2015

Tags:

Big Data

Methods

Theme: empirical


Big Data Conference

CeMMAP and Cambridge-INET are hosting a conference on Economic and Econometric Applications of Big Data to be held in Cambridge, UK June 11-12, 2015.

Event Date: Friday 12th June 2015

Tags:

Big Data

Applied Econometrics

Applied Economics

Theme: empirical