As volatility in equity markets this year demonstrate, the world continues to be a risky place. Fast-moving changes in foreign exchange and commodity markets have real impacts on stock markets, ...

Find out why backpropagation and gradient descent are key to prediction in machine learning, then get started with training a simple neural network using gradient descent and Java code. Most ...

While common investors are familar with basic assets of trading like equity, fixed-income instrument, currency and commodity markets, they are less familiar with derivatives. Derivative markets are ...

The recently developed multiscale kernel of R. Opfer [Adv. Comput. Math., 25 (2006), pp. 357- 380] is applied to approximate numerical derivatives. The proposed method is truly mesh-free and can ...