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
iv. financial knowledge
v. developing a contacts network in the finance
vi. generating ideas for economics/finance papers.
This competition runs every quarter. Any work submitted between today and June 30th will be eligible for the 2021 Q.2 competition round.
It will have to be an economic or financial study, and in a style akin to these articles:
(2021 Q.1 competition winner:) Beneish's M-Score and Altman's Z-Score for analyzing stock returns of the companies listed in the S&P500
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 Refinitiv’s 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; 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 several University Hackathons where students were given access to Refinitiv data and CodeBook to compete in constructing a Python CobeBook-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.
In line with this initiative, please do not hesitate to get in touch with our University Hackathon organiser - Jonathan Legrand - to outline your interest.
After establishing a line of communication with a contact at your University, we split our Hackathon in four 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: Virtual meeting where Students give a presentation explaining their subject choice. They ought to give an outline of their goals in this Hackathon.
Step 3: One week later, we can have a virtual meeting where Students give a presentation/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 4: 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.
We are aiming to start our second round of Hackathons in May/June and we are ready to take on all infrastructure and communication needs (using our own servers – for CodeBook – and Microsoft Teams respectively). For more information on how the previous Hackathon with ISEG School of Management went, please do not hesitate to look into their article ‘A look back at an innovative online hackathon with Refinitiv’.