Our Academic Articles are aimed at academics at Undergraduate level or higher. As a result, all Mathematical and Theoretical concepts are explained - step by step - as they would be in professors’ lecture notes. We do not shy away from exemplifying many working-out steps, explaining used nomenclature and providing further material and references.
Academic Studies, Term Papers, Dissertations, Theses, and more can all be coded using code exemplified in our articles and our powerful set of APIs and Feeds. Our web APIs provide a broad range of language support so you have unlimited integration options. These include Python so you can access all wide set of open source libraries that are available.
The range of possible studies with such data is limitless. You may find – in this landing page – examples constructing Mathematical Models such as Econometric Models (Linear/Non-Linear Mean/Variance Models using Ordinary Least Squares or Maximum Likelihood Estimation), Forecasting and Interpolation frameworks (e.g.: using Holt-Winters Models).
Our easy to use web APIs provide access to all the bellow and more:
- The largest and deepest Economic database available with over 8.5 million active economic indicators and 65 years of history across 175 countries. With such data, one may study patterns in market trends, economic cycles, or the impact of world events (e.g.: implementing instrumental variable analysis).
- Aggregate data from sector, government, financial and non-financial accounts, GDP and debt markets.
- Microeconomic content Including indicators across housing, energy, automotive, aviation, construction, commodities, labor plus key indicators for sub-national areas.
- 1,000+ national sources including central banks, central statistical agencies, ministries of finance, trade, and labor, trade associations and research institutes.
- 1800 economic indicators, with figures released in real-time. Value-added content includes polling conducted by Reuters
- Use cases for economic content include trading, analysis of companies and financial instruments, macro-economic modeling, micro-economic modeling, sector and sub-sector modeling, econometrics, credit, risk assessments and data science.
Refinitiv is pleased to host the Refinitiv Lead Academic Article Competition.
This competition aims at helping students - from undergraduate to postdoctorate level - to publish their work on internationally recognized platforms and to aid them in (i) academic style writing, (ii) implementing code in their study, (iii) coding, (iv) financial knowledge, (v) developing a contacts network in finance, (vi) generating ideas for economics/finance papers.
This competition runs every quarter. Any work submitted between today and March 31th will be eligible for the 2021 Q.2 competition round. You may submit your work here.
It will have to be an economic or financial study, and in a style akin to these articles:
- Estimating Monthly GDP Figures Via an Income Approach and the Holt-Winters Model
- Investigating the effect of Company Announcements on their Share Price following COVID-19
- Information Demand and Stock Return Predictability (Coded in R)
- Computing Risk Free Rates and Excess Returns from Zero-Coupon-Bonds
- 2021 Q.1 competition winner: Beneish's M-Score and Altman's Z-Score for Analyzing Stock Returns
- 2021 Q.2 competition winner: A Probabilistic Relative Valuation for the Financial Sector Using Deep Learning
As per these examples, the length of the study in question is not a limit; there is no min. or max. length your article has to be to qualify. However, it needs to show and explain the code used in its study. It can be in any (reasonable) format (such as LaTeX, PDF, Word, Markdown, …) but it would preferably be a Jupyter Notebook (you may choose to use CodeBook to write it). You will also need to use Refintiv APIs/data-sets before being published on our Developer Portal – were it to win the competition.
There is no min. or max. number of winners per quarter; any work exceeding our standards will be selected for publication. Thus, do not hesitate to share this with your colleagues, informing them of this opportunity, they are not competitors, but collaborators; you may even choose to work together on this project.
We are ready and happy to provide any help in writing such articles. You can simply email Jonathan Legrand - the Competition Leader - at firstname.lastname@example.org.
In these challenging times, we rolled out CodeBook to allow students to access easy-to-use coding interfaces to learn to code and apply what they’ve learned - be it in Management, Finance, Economics, Computer Science or Data Science. In line with this capability, Alida Hafiz started Refinitiv's Inter-University Hackathon initiative where students were given access to Refinitiv data and CodeBook to compete in constructing a Python CodeBook-app/Jupyter-Notebook or a workflow using Excel that could be chosen to be published on our Refinitiv Developer Portal’s Article Catalogue – were it to win. This is part of a push in which we are starting to empower students to learn finance and coding – alongside our Article Competition.
The aim of the Hackathon is to aid students to apply their academic knowledge within both a commercial and technically secure environment, enabling students to put themselves in the shoes of the professional working in financial and commercial fields.
The above describes technical aspects of our Hackathon, but - as aforementioned - this Hackathon is open to many students, including non-computer-science studying ones; indeed, many participating students did not use CodeBook in our 1st Hackathon.
How to Participate
If you - as a University Representative or Professor - are interested in participating in our Inter-University Hackathons, please do not hesitate to get in touch with our University Hackathon organiser - Jonathan Legrand - to outline your interest. We are ready to take on all infrastructure and communication needs (using our own servers – for CodeBook – and Microsoft Teams respectively).
Dates for the third Hackathon - post June 2021 - have not been chosen yet; we are thus happy to arrange it at a time that best suits your University's needs.
After establishing a line of communication with a contact at your University, we split our Hackathon in steps for simplicity:
- Step 1: Inform Students of the opportunity (e.g.: via email) and a non-exhaustive list of subjects curated with their professors that they can choose to work on. This is a perfect opportunity to introduce certain aspects and functionalities of Refinitiv Workspace for Students.
- Step 2: One/Two weeks later, we have a virtual meeting where Students give a presentation explaining their subject choice as well as a demonstration of their work to Jurors who will provide feedback. This will hone in on the technical needs of the Students and demands of the Jurors.
- Step 3: One/Two weeks later, we have a virtual meeting where Students give a presentation/demonstration of their final work. Jurors will then decide on a winner.
This will allow students to put themselves in the shoes of the professional working on such subjects.
Winners will be awarded with an e-Certificate and Refinitiv merchandise (subject to availability). Winners producing work of sufficient quality may also be chosen to be published on our Refinitiv Developer Portal’s Article Catalogue.
Past and Future Hackathons
- 2020: Refinitiv Inter-University Hackathon 1
Alida Hafiz spearheaded the first University Hackathon in France with the IESEG School of Management. It was a resounding success, as reflected in their article ‘A look back at an innovative online hackathon with Refinitiv’.
- May/June 2021: Refinitiv Inter-University Hackathon 2
- Refinitiv Inter-University Hackathon 3
Dates for the third Hackathon have not been chosen yet; we are thus happy to arrange it at a time that best suits your University's needs.