Title
Knowledge Visualization of Reasoning for Financial Mathematics with Statistical Theorems
Abstract
We have been developing formula databases for our business math lectures. Our target is business mathematics and the main part is financial mathematics. To handle financial word problems, many statistical formulas and theorems must be referenced and used. We describe visualization of the statistical formula database in the paper. To teach statistical theorems, simulation and visualization is so helpful. Therefore such visualization materials should also be stored in the formula database as a piece of our knowledge. On the other hand, the problem exists that math formula database researches may hardly consider its user interfaces. We have been researching a deductive reasoning process for solving a word math problem. Then we proposed that the reasoning process graph can be used as an effective and excellent user interface of the large-scale knowledge base for students to solve a word math problem. In the paper, we show a deductive reasoning process for the Black-Scholes equation as the concrete example, as many statistical formulas are refereed to derive the Black-Scholes equation.
Year
DOI
Venue
2014
10.1007/978-3-319-05693-7_8
DNIS
Keywords
Field
DocType
central limit theorem,black scholes equation,deductive reasoning
Data mining,Process graph,Mathematical finance,Word problem (mathematics education),Visualization,Computer science,Theoretical computer science,Business mathematics,Deductive reasoning,Knowledge base,User interface,Database
Conference
Citations 
PageRank 
References 
1
0.75
3
Authors
3
Name
Order
Citations
PageRank
Yukari Shirota183.25
Takako Hashimoto25018.47
Sakurako Suzuki310.75