Service pricing: An empirical investigation

The purpose of the present study is to explore the pricing objectives that service companies pursue along with the pricing information that they collect in order to price their services. Analyzing data from 170 companies operating in six different service sectors, the study concluded that the companies in our sample tend to follow a hierarchy of pricing objectives with a particular emphasis being placed on the companies’ customers. Furthermore, they tend to collect more than one type of information giving particular emphasis on the existing competitors’ prices. The study also revealed that the pricing objectives and the pricing information vary across the different service sectors and tend to interrelate.     

A cointegrated commodity pricing model

We propose a commodity pricing model that extends the Gibson–Schwartz two‐factor model to incorporate the effect of linear relations among commodity spot prices, and provide a condition under which such linear relations represent cointegration. We derive futures and call option prices for the proposed model, and indicate that, unlike in Duan and Pliska (2004), the linear relations among commodity prices should affect commodity derivative prices, even when the volatilities of commodity returns are constant. Using crude oil and heating oil market data, we estimate the model and apply the results to the hedging of long‐term futures using short‐term ones.     

Intermediary asset pricing in commodity futures returns

This paper assesses the extent to which intermediary capital (IC) risk contributes toward explaining commodity futures returns. We find that the IC effect is substantially positive and continues to grow as the financialization of commodities deepens. Positive and negative IC risks play asymmetric roles, with the effect of negative IC strengthening in recent subperiods. We further confirm the heterogeneous roles of IC across individual commodities by cross-section analyses. Overall, the effect of the positive IC risk factor varies significantly. Portfolios with low basis, low open interest, low momentum, and low liquidity earn significantly higher returns than counterparty portfolios.     

An analysis of illiquidity in commodity markets

We examine the liquidity and insurance premia demanded by hedgers and speculators in commodity markets. We find that hedgers and speculators demand a higher premium for illiquid commodities for providing insurance and liquidity, respectively. Decomposing illiquidity into turnover and size components, we find evidence of a size premium associated with the insurance premium such that speculators demand a larger insurance premium for smaller commodities. We also find that the liquidity premium demanded by hedgers for illiquid commodities varies across bullish and bearish markets with hedgers demanding a larger premium from speculators trading in illiquid commodities in bearish markets.     

International cross-listing and stock pricing efficiency: An empirical study

International cross-listing should subject stocks involved to ameliorated information environment in the host market, resulting in more information being revealed, fed back, and impounded into their prices at home and, thus, higher home-market pricing efficiency. Employing a simple non-parametric test, we present the first large-sample evidence for this hypothesis, and document that foreign cross-listings in the U.S. indeed enhance home-market stock pricing efficiency, net of marketwide efficiency shifts in the concurrent period. In addition, the efficiency benefit applies equally well regardless of home-market development status or cross-listing location. These findings should be of interest to both academics and practioners.     

Approximation for convenience yield in commodity futures pricing

The pricing of commodity futures contracts is important both for professionals and academics. It is often argued that futures prices include a convenience yield, and this article uses a simple trading strategy to approximate the impact of convenience yields. The approximation requires only three variables—underlying asset price volatility, futures contract price volatility, and the futures contract time to maturity. The approximation is tested using spot and futures prices from the London Metals Exchange contracts for copper, lead, and zinc with quarterly observations drawn from a 25‐year period from 1975 to 2000. Matching Euro‐Market interest rates are used to estimate the risk‐free rate. The convenience yield approximation is both statistically and economically important in explaining variation between the futures price and the spot price after adjustment for interest rates. © 2002 Wiley Periodicals, Inc. Jrl Fut Mark 22:1005–1017, 2002     

Drift matters: An analysis of commodity derivatives

This article presents a reduced‐form, two‐factor model to price commodity derivatives, which generalizes the model by Schwartz and Smith (2000). The model allows for two mean‐reverting stochastic factors and therefore implies that spot and futures prices can be stationary. An empirical study for the crude oil market tests the new model. Out‐of‐sample pricing and hedging results for futures and forwards show that the new model dominates the nonstationary model by Schwartz and Smith in the following sense: It works equally well for short‐term contracts but leads to major improvements for long‐term contracts. This finding is particularly relevant for typical applications like the valuation of commodity‐linked real assets with long maturities. © 2005 Wiley Periodicals, Inc. Jrl Fut Mark 25:211–241, 2005     

An empirical examination of the pricing of exchange‐traded barrier options

Actively traded barrier options were introduced on the Australian Stock Exchange in 1998. This market provides a unique laboratory in which to empirically examine their pricing. This is particularly so given that, for a number of these options, otherwise identical standard European options were simultaneously traded. As a result, the pricing of barrier options may be compared both with their theoretical valuations and with the pricing of otherwise identical European options. © 2004 Wiley Periodicals, Inc. Jrl Fut Mark 24:1049–1064, 2004     

市场条件与商品房市场的量价关系

引言 房价和交易量是房地产市场上两个非常重要的变量.然而,由于数据样本的限制,国内相关研究还不多见.     

The influence of demand factors on dynamic competitive pricing strategy: An empirical study

This empirical paper investigates the relationship between the dynamic strategic interactions among competitors in a component market and demand factors in the market for the end product. The structure of competition in the US microprocessor (MPU) industry is analyzed using data on prices and sales in both the MPU market as well as the market for personal computers. The pattern of dynamic strategic interaction between competing firms in this market on a key decision variable, price is studied. Non-nested model comparison tests based on equilibrium solutions derived for specific differential games are applied to identify the mode of competitive strategy between pairs of competing brands. The empirical fit to the longitudinal and cross-sectional data, of alternative models of competition, independent (Bertrand?CNash), Stackelberg leader?Cfollower, and Collusion, is used to determine which dynamic model best describes actual competitive behavior over the life of each MPU. Demand for the product market which is downstream from microprocessors, that for personal computers, is estimated using a generalized diffusion model with price effects. Data from the markets for desktop and laptop computers are analyzed at the level of computer vendor and internal microprocessor. Patterns are uncovered, linking downstream demand parameters with upstream competitive strategy. There is evidence to suggest that when there are strong diffusion effects driving sales of both the competing computer brands, there is a higher likelihood of Bertrand?CNash competition among MPU firms. However, when there are higher cross-price effects (substitutability) among personal computer brands there is a greater chance of Stackelberg leader?Cfollower price competition. When self-price effects are relatively high, the likelihood of Bertrand?CNash competition among MPU firms increases. Furthermore, when the potential demand for the computer product category is high, there is a higher likelihood of Bertrand?CNash pricing in the MPU market.