This work presents a novel neural network model for forecasting option prices using past volatilities and other options market factors. Out of different approaches to estimating volatility in the option pricing model, this study uses backpropagation neural network to forecast prices for...

In a competitive and dynamic market, financial institutions must forecast the proportion of mortgages that will become delinquent, default or prepay. This paper develops a novel forecasting model with nonstationary Markov chain and Grey forecasting, capable of predicting the likelihood of...

In the Pan-Asia domain, especially Taiwan, Japan, South Korea, and the most effectively emerging power house, China, group package tours (GPTs) have been considered as an indispensable gadget for overseas vacationing tourists. A well-trained senior tour guide is capable of bringing up the GPT by...

Lotto was inaugurated in January 2002 and immediately became a popular activity in Taiwan. The purpose of this investigation is to examine the effective price elasticity of Big Lotto and the substitute effects between Lotto (6/42) and Big Lotto (6/49). The analytical results can provide...