The Bank of Israel’s Information and Statistics Department manages a database of Big Data on derivative
financial instruments in the forex and interest rate markets, which contains information on transactions in
these derivatives on the OTC market. The database is used primarily to gain knowledge of the market and
to develop products that support the decisions of the Bank’s policy makers.
This study reviews several tools and methods that the Department uses to optimize, process, and generate
insights from the information existing in the derivatives database. The study also describes several data
science models that are used to identify irregular reports, complete missing data, classify market participants,
and enable the Department to draw insights that inform policy making.