This paper considers advertising, collection and pricing decisions simultaneously for a closed-loop supplychain(CLSC) with one manufacturer(he) and two retailers(she). A multiplicatively separable new demand function is proposed which influenced by pricing and advertising. In this paper, three well-known scenarios in the game theory including the Nash, Stackelberg and Cooperative games are expl...

Option pricing and risk assessment are important techniques in modern financial engineering. Increasingly, financial engineers are exploring how to implement computation-intensive option pricing models efficiently on evolving modern architectures. This application note describes how to use the Ct programming model to implement several option pricing models—namely, the Black-Scholes, Binomial Tr...

Hansen and Jagannathan (1997) have developed two measures of pricing errors for asset pricing models: the maximum pricing error in all static portfolios of the test assets and the maximum pricing error in all contingent claims of the assets. In this paper, we develop simulation-based Bayesian inference for these measures. While the literature reports that the time-varying extensions substantial...

In this work, two models are proposed for electricity prices as energy commodity prices which in addition to mean-reverting properties have jumps and spikes, due to non-storability of electricity. The models are simulated using an Euler scheme, and then the Monte-Carlo method is used to estimate the expectation of the discounted cash-flow under historical probability, which is considered as the...

this paper studies the dynamic behavior of price elasticity and its effects on the overall profit. although price elasticity has a significant effect on sales, its dynamics have not been examined so far in pricing models. in this paper, a simple pricing model is suggested in which, price elasticity is considered dynamic. the suggested pricing model is concerned with a monopolist that its object...

The increasing volatility in pricing and growing potential for profit in digital currency have made predicting the price of cryptocurrency a very attractive research topic. Several studies have already been conducted using various machine-learning models to predict crypto currency prices. This study presented in this paper applied a classic Autoregressive Integrated Moving Average(ARIMA) model ...