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How to Collect Datastream IBES Global Aggregate Earnings Data with Python and CodeBook
In this article, we build the Python function Get_IBES_GA with ipywidgets Dropdowns to retrieve Institutional Brokers' Estimate System (IBES) Global Aggregate earnings data for country and regional sectors in an interactive way. With this function in CodeBook, no need to know how to code, it's...
Using Python to apply climate change objectives of EU Taxonomy
Explore how to use a python script to calculate the climate change exposure of a portfolio following the EU Taxonomy regulations
How to deploy and run Real-Time Java Application with Maven in Docker
Learn how to setup the Maven project to build, deploy and run for Real-Time Java applications in Docker
Forecasting Inflation: Romanian Case Study Using SARIMA Models
In this article, we look at how one may choose an optimal SARIMA model by selecting the one with lowest in-sample errors. We also look into how one may use both Eikon and Datastream data together, as well as statistical concepts of stationarity and differencing among others. We also investigate...
Working with Fundamental and Estimates Data - A DCF Example
This article will explore how you can use our new Refinitiv Company Fundamentals (RCF) and our Estimates content sets via the Eikon Data API to quickly conduct a DCF type intrinsic valuation for a company and it peers to provide a reelative valuation overlay.
Configuring adspop docker to connect to Refinitiv Real-Time Optimized
This article explains step by step how to run and configure the adspop docker container on Windows 10 to source data from the Refinitiv Real-Time Optimized.
Debt Structure Analysis on an Organizational Level
Programmatically search for active bonds for a company, bring back specific properties and convert values into a single currency
Contributing your data to Refinitiv with WebSocket API
Use websockets API to contribute the financial data to Refinitiv using Contribution Channel
A Probabilistic Relative Valuation for the Financial Sector Using Deep Learning
This paper studies the implementation of deep learning to predict probability distributions. These describe the daily returns of stocks of the companies in the financial sector, listed in the S&P500, using the data obtained from the Refinitiv Eikon API from 2002 to 2020. In addition, it...