121 resultados para pricing


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This study applies Granger causality tests to examine the relationship between attendance, admission prices and real income at the Melbourne Cup, which is Australia's premier horseracing event and one of the world's leading handicap races. The motivation for the paper is that while market demand suggests that causation should run from admission price to attendance, it is equally plausible that sporting authorities could alter admission prices in response to a change in demand reflected in attendance. The main findings are that in the short-run there is unidirectional Granger causality running from income to attendance, attendance to admission price and income to admission price, while in the long run both admission price and income Granger cause attendance.

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What are the museum pricing strategies in contemporary western museums? A large qualitative study on museum pricing decisions was conducted between 2001 and 2009, based on thirty case studies in Canada, United Kingdom, Italy, Spain, France Australia. Results show that the different strategic motivations of price decisions fonn a hybrid model. The hybrid model varies according to unequal organisational learning of the strategic role of pricing in the international museum community. A discussion about these results enables us to understand how this hybrid pricing model in contemporary museums denotes their hybrid transitional identity.

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This article examines the link between macroeconomic variables and equity returns in Australia by testing conditional asset pricing models. We find that conditioning the Fama-French model with a series of macroeconomic variables does not considerably improve its performance. However, we do find that the Fama-French factors, SMB and HML, retain their ability to explain equity returns even after the model is conditioned on macroeconomic variables. Our findings suggest that investors do not adjust their risk premiums according to the changes in the macroeconomic variables we employ.

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This paper explores first-day returns on infrastructure entity initial public offerings (IPOs) in Australia from 1996 to 2007. While a good deal has been written on the first-day returns of industrial and mining company IPOs and Real Estate Investment Trust IPOs, first-day returns of infrastructure entity IPOs have yet to be reported in the literature. The study uses ordinary least squares regression analysis to identify factors that might influence the percentage first-day returns theoretically available to investing subscribers and factors that might influence the aggregate amount of money left to subscribers by issuers. The study finds that first-day returns, on average, are not significantly different from zero. There is evidence, however, that suggests higher dividend yields and higher percentage direct costs of capital raising influence these first-day returns. The study also finds that infrastructure entity IPOs that seek to raise more equity capital leave less money on the table for subscribing investors.

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We re-evaluate the cross-sectional asset pricing implications of the recursive utility function of Epstein and Zin, 1989 and Epstein and Zin, 1991, using innovations in future consumption growth in our tests. Our empirical specification helps explain the size, value and momentum effects. Specifically, we find that (і) the beta associated with news about consumption growth has a systematic pattern: beta decreases along the size dimension and increases along the book-to-market and momentum dimensions, (іі) innovation in consumption growth is significantly priced in asset returns using both the Fama and MacBeth (1973) and the stochastic discount factor approaches, and (ііі) the model performs better than both the CAPM and Fama–French model.

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We experimentally examine posted pricing and directed search. In one treatment, capacity-constrained sellers post fixed prices, which buyers observe before choosing whom to visit. In the other, firms post both “single-buyer” (applied when one buyer visits) and “multibuyer” (when multiple buyers visit) prices. We find, based on a 2 × 2 (two buyers and two sellers) market and a follow-up experiment with 3 and 2 × 3 markets, that multibuyer prices can be lower than single-buyer prices or prices in the one-price treatment. Also, allowing the multibuyer price does not affect seller profits and increases market frictions.

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Cloud computing is experiencing phenomenal growth and there are now many vendors offering their cloud services. In cloud computing, cloud providers cooperate together to offer their computing resource as a utility and software as a service to customers. The demands and the price of cloud service should be negotiated between providers and users based on the Service Level Agreement (SLA). In order to help cloud providers achieving an agreeable price for their services and maximizing the benefits of both cloud providers and clients, this paper proposes a cloud pricing system consisting of hierarchical system, M/M/c queuing model and pricing model. Simulation results verify the efficiency of our proposed system.

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This project is a co-operative study between ACCAN and Deakin University. It focuses on Unit Pricing, the practice of displaying the price of goods or services based on a standard quantity, to allow a direct comparison between competitive offers. This study aimed at gauging whether the new unit pricing information for mobile phone contracts assists consumers in assessing and comparing the value provided across alternative contracts within and between suppliers. Some 24 in-depth interviews were conducted with consumers who had recently bought or renewed a mobile phone contract.
The research showed that most consumers could use unit pricing information and some found it useful. Where consumers’ plans had unlimited or infinite capacity, unit pricing information was not relevant. Many consumers preferred voice allowances to be expressed in minutes, rather than in dollar allowances. Data was the most problematic category, as consumers typically had only limited understanding of the amount of data that various applications used. Most did have a broad understanding of what total capacity in data they would need, typically expressed in gigabytes.
Consumers commonly sought simplicity in deciding on which plan they would purchase or renew. A key issue for consumers was not “going over”, that is not exceeding their call, text or data allowances. For that reason, they were prepared to choose a plan that commonly resulted in them not using their full allowances each month. Some consumers used Apps on their smartphones to monitor their usage. Not all consumers had experienced advisory messages about nearing the limits of their plan’s allowances.
The Report recommended that:

R1. Unit pricing should be maintained
R2. Where unit pricing is provided for call costs, these should be expressed in terms of a one-minute call.
R3 Unit pricing for data should be expressed in terms of gigabytes or part thereof.
R4 In advertising mobile phone plans and at point of sales, customers should be provided with three levels of information – 1) overall plan features, 2) unit pricing information and 3) a data calculator.
R5 Level 2 and 3 information should be provided in a standard format across the industry, enabling consumers to make ready comparisons between plans and between competitive offers from different providers.
R6. Continuing public education is needed.
R7. Warnings about going over should always include the date when the allowance period ends and tell consumers what the rate will be if they “go over” based on the Level 2 information.
R8. The Consumer Protection Code should be reviewed in the light of these findings and recommendations.