The main goal of the present study is testing asymmetric risk pricing and comparing it with pricing of traditional risk measures in Tehran Stock Market. Accordingly, a sample consisting of 101 companies listed in Tehran Stock Market during 2002-2013 went under investigation. In order to test asymmetric risk pricing, regression model of panel data was applied. The results revealed a positive and...

The main business of an investment company is to hold and manage securities for investment purposes. In today competitive market Pricing and its methodology are complicated motions. It is very important to define a price that can prevail the competition in an open and free market. In order to define the price certain circumstances should be considered. In the academic arena there have been seve...

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...

Several real problems in telecommunication, transportation, and distribution industries can be well analyzed by network flow models. In revenue management, pricing plays a primary role which increases the profit generated from a limited supply of assets. Pricing decision directly affects the amount of service or product demand. Hence, in traditional maximum flow problem, we assume that the dema...

‎Pricing weather derivatives is becoming increasingly useful‎, ‎especially in developing economies‎. ‎We describe a statistical model based approach for pricing  weather derivatives by modeling and forecasting daily average temperatures data which exhibits long-range dependence‎. ‎We pre-process the temperature data by filtering for seasonality and volatility an...

This paper demonstrates that quality-contingent pricing is a useful mechanism for mitigating the negative effects of quality uncertainty in e-commerce and IT services. A contingency pricing contract specifies a sequence of possible quality levels and corresponding prices. The market estimates the firms performance at various quality levels based on historical statistics, and the firm may have a...

During recession, many macroeconomic variables display higher levels of volatility. We show how introducing an AR(1)-ARCH(1) driving process into the canonical Lucas consumption CAPM framework can account for the empirically observed greater volatilty of asset returns during recessions. In particular, agents' joint forecasting of levels and time-varying second moments transforms symmetric-volat...

This paper presents a location-inventory-pricing model for designing the distribution network of a supply chain with price-sensitive demands and inventory-capacity constraints. The supply chain has market power and uses markup pricing. An efficient Lagrangian relaxation algorithm is proposed to solve the model. Our numerical study shows that by moderately increasing the number of possible value...

In this paper two different methods are presented to approximate the solution of the fractional Black-Scholes equation for valuation of barrier option. Also, the two schemes need less computational work in comparison with the traditional methods. In this work, we propose a new generalization of the two-dimensional differential transform method and decomposition method that will extend the appli...

As emphasized by Giovannini and Labadie (1991), empirical regularities involving nominal interest rates, asset prices, and inflation should be ultimately determined by money. The role of money, however, is almost neglected, particularly in terms of asset-pricing literature. This paper attempts to investigate the role of money in asset pricing in Japan. Specifically, it compares the empirical pe...