Live Access to Large International Data Sources With Risk Kit Data – Case Study: Impact of the Oil Price and FX and Interest Rates on Profit and Loss
34 Pages Posted: 22 Mar 2021 Last revised: 20 Apr 2021
Date Written: April 20, 2021
Many people in the global economy process and analyze information on a daily basis. The importance of quick and easy access to that information cannot be overestimated today. Quite a few different data providers grant access to big databases with financial data and statistics over the internet through special APIs. From one hand, this simplifies the access to information. On the other hand, some technical knowledge is required to read and parse this information. Moreover, every data provider implements his own API, which makes it difficult to accumulate and aggregate the data in one place.
Risk Kit Data solves these problems and provides a standardized interface to access and process financial data and statistics from different data sources. Over a user-friendly graphical interface, users can browse statistics, perform searches, export data directly to Excel sheets and more.
Risk Kit Data supports five popular data sources such as the European Central Bank ECB, Eurostat, the Federal Reserve Economic Data FRED, the World Bank and Apilayer Marketstack.
We illustrate the solution of key problems in a case study that analyzes the impact of oil price and FX and interest rate changes in a simple risk model. Steps include data selection, data download, data consolidation, model selection, model calibration, model forecast and analysis within a larger risk model.
Keywords: market data feed, data consolidation, model selection, calibration, simulation
JEL Classification: C51, C52, C81, C87
Suggested Citation: Suggested Citation