Meta-prices for Price Information
نویسندگان
چکیده
This paper explores a game where sellers of products sell the information concerning what price is charged for their products to an agent trying to find the minimum price in the market. Each seller draws a product price from a different distribution, known to the agent. Sellers know both their competitors’ distributions and the actual competitors’ price. In equilibrium the lowest product price seller prices price information according to the second lowest product price and other sellers are trying to imitate. We define the strategy space of the game and for the two seller game we introduce the concept of a meta-price: the measure of attractiveness of a product price. We show that in one version of the one-shot game, Nash equilibrium dictates that the seller that happens to be more expensive cannot sell price information. In the infinitely repeated game, we show how our meta-price concept can be used to evaluate seller strategies and calculate expected revenues.
منابع مشابه
Forecasting Gold Price Changes: Application of an Equipped Artificial Neural Network
The forecast of fluctuations and prices is the major concern in financial markets. Thus, developing an accurate and robust forecasting decision model is critically favorable to the investors. As gold has shown a special capability to smooth inflation fluctuations, governors use gold as a price controlling lever. Thus, more information about future gold price trends will help to make the firm de...
متن کاملThe effect of rising food prices on food consumption: systematic review with meta-regression OPEN ACCESS
Objective To quantify the relation between food prices and the demand for food with specific reference to national and household income levels. Design Systematic review with meta-regression. Data sources Online databases of peer reviewed and grey literature (ISI Web of Science, EconLit, PubMed, Medline, AgEcon, Agricola, Google, Google Scholar, IdeasREPEC, Eldis, USAID, United Nations Food and ...
متن کاملPredict the Stock price crash risk by using firefly algorithm and comparison with regression
Stock price crash risk is a phenomenon in which stock prices are subject to severe negative and sudden adjustments. So far, different approaches have been proposed to model and predict the stock price crash risk, which in most cases have been the main emphasis on the factors affecting it, and often traditional methods have been used for prediction. On the other hand, using Meta Heuristic Alg...
متن کاملThe Effect of Monetary Shocks on Disaggregated Prices in a Data Rich Environment: a Bayesian FAVAR Approach
Price stability has been the foremost task of monetary policy. The information relating to the response of prices to monetary policy shocks is essential for conducting monetary policy in general and for inflation targeting of central banks in particular. Most of the published empirical studies analyze the response of an aggregate price index like CPI or a consumption deflator and their r...
متن کاملApplication of HS Meta-heuristic Algorithm in Designing a Mathematical Model for Forecasting P/E in the Panel Data Approach
In financial markets such as Tehran Stock Exchange, P/E coefficient, which is one of the most well-known instruments for evaluating stock prices in financial markets, is considered necessary for shareholders, investors, analysts and corporate executives. P/E is used as an important indicator in investment decisions. In this research, harmony search metaheuristic algorithm is used to select opti...
متن کامل