A medium-sized west-European telecom company experienced a worsening trend in performance, indicating that the organization did not learn from history, in combination with much time and energy spent on preparation and review of project proposals. In order to create more transparency in the supplier proposal process a pilot was started on Functional Size Measurement pricing (FSM-pricing). In thi...

In this paper, we take the advantage of high frequency data to develop option pricing model and select the Realized GARCH model to describe the volatility of assets, use NIG distribution to describe the distribution of underlying assets, and also build the Realized-GARCH-NIG model to price the option. Finally, we obtain the dynamic option pricing model based on the Realized-GARCH-NIG approach. ...

My results suggest that the primary role of performance pricing in bank debt contracts is to delay costly renegotiation. This effect is concentrated in long-term loans, indicating that the renegotiation reduction benefits of pricing grids are larger for long maturities. For instance, a five-year loan with a pricing grid is refinanced for pricing-related reasons on average a year later than a si...

this paper presents an analytical view of variance reduction by control variate technique for pricing arithmetic asian options as a financial derivatives. in this paper, the effect of correlation between two random variables is shown. we propose an efficient method for choose suitable control in pricing arithmetic asian options based on the control variates (cv). the numerical experiment shows ...

By employing dynamic pricing, the act of changing prices over time within a marketplace, sellers have the potential to increase their revenue by selling goods to buyers "at the right time, at the right price." Software agents have been used in electronic commerce systems to assist buyers, but there is limited use of selling agents in today's markets. As dynamic pricing systems become necessary ...

We study the optimal pricing and replenishment decisions in an inventory system with a price-sensitive demand, focusing on the benefit of the inventory-based dynamic pricing strategy. We find that demand variability impacts the benefit of dynamic pricing not only through the magnitude of the variability but also through its functional form (e.g., whether it is additive, multiplicative, or other...

The field of revenue management originated within the operations research community and is concerned with demand management and related pricing decisions. Pricing has not traditionally been one of the mainstream operations management (OM) concerns, but revenue management is attracting a substantial amount of OM research. While revenue management has had significant impact on the management of d...

This study examines how methods proposed to price traffic in the fixed Internet can be accepted by customers of 3G mobile services. Most previously proposed congestion pricing models are complicated and therefore difficult to be accepted by customers. Simple data pricing methods are needed in today’s 3G networks. A congestion pricing method is proposed only for customers willing to pay more dur...

This essay puts forward a cruise pricing model based on improved quantum particle swarm optimization, aiming at optimizing the pricing strategy and realizing the maximum sales income expected. Firstly, we combine the two factors – actual booking records and expected booking records in the process of cruises pricing – and improve the dynamic price-setting model based on demand learning put forwa...

W are the drivers of retailer pricing tactics over time? Based on multivariate time-series analysis of two rich data sets, we quantify the relative importance of competitive retailer prices, pricing history, brand demand, wholesale prices, and retailer category-management considerations as drivers of retail prices. Interestingly, competitive retailer prices account for less than 10% of the over...