Decision Intelligence, Complexity, Machine Learning

Banking balance sheet decision dashboard demonstration model

This demonstration model shows some of the decisions that might face a bank that has assets in Europe and the US. This bank is analyzing its short-term (7-day) liquidity requirements. It can use this dashboard to experiment with various assumptions.

This model displays a number of financial system dynamics. For instance the user can change the difference between the US and European retail deposit rate. As it does so, money will flow to wherever the deposit rate is highest. This is because as the fed rate goes up, this places pressure on variable-rate loans in the US, however also it will drive up the ECB rate, because otherwise European banks, as they underwrite their loans, rather than use their own deposits, will borrow money from the US, because it is cheaper.

The “enable interdependencies” checkmark removes the feedback loops that connect the two economies. This allows a comparison between independent and interdependent dynamics in the model.

The ETL panel shows processes that are running for Extract/Transform/Load on a daily basis, and monitors those ETL processes for any problems.  It shows graphs for Deposits, Transactions, Securities , Loans, Liabilities. Each is a daily data source that is being monitored as its data is ETL’d into various databases.

On the asset detail panel you can drill into various components that affect the balance sheet, allowing you to categorize (e.g. by country) and subset (e.g. just credit) relevant financial information.

Note that this is only a conceptual demonstration. The data is fictitious and should not be used as the basis for any decisions, nor should any simulation on this page be interpreted as either implicit or explicit claims about any real entities whatsoever.

Patent pending, copyright (c) 2015 Quantellia, LLC. All rights reserved.