Financial engineering consist in the development and application of financial models, algorithms, and other mathematical tools to solve complex financial problems, for example: analyze and manage credit and financial risks, design and value financial instruments, and optimize investment portfolios.
This application contains most of the core concepts, formulas and methods of financial mathematics such as: present and future values, simple interest, compound interest, gradients (both arithmetic and geometric), annuities and perpetuity.
Data graphs allow us to inspect, clean, transform, and model data in order to discover useful information, reach relevant conclusions, and support decision-making processes.
This demo page contains different types of data graphs that allows us to:
1. Define data analysis objectives
2. Establish clear measurement priorities
3. Collect data
4. Analyze data
5. Interpret results