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.

Use cases including code samples and notebooks for:

  • Defining Risk-Free Rates, Excess Returns, Value at Risk, Relative Strength Index, … and computing them. for:
  • Use Google Trends data in an AutoRegresive Moving Average and a family of Generalised AutoRegresive Conditional Heteroscedastic models and Christoffersen and Diebold (2006)’s framework to compute the probability that a stock index’s price will increase in the next time period – in R and Python.
  • Using Holt-Winters and monthly expenditure and income data to estimate monthly GDP interpolations.


Refinitiv Academic Article Competition

Refinitiv is pleased to host the 1st 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 the finance
vi. generating ideas for economics/finance papers.

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 (using the S&P 500)

Information Demand and Stock Return Predictability (Coded in R)

Computing Risk Free Rates and Excess Returns from Zero-Coupon-Bonds

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 .


Video Tutorials

You may access our video tutorials on our API pages (e.g.: on the Eikon API Tutorial page). Some of our articles also have tutorial videos aimed at (coding) beginers.