{"title":"基于动态随机财富模型的一般服务定价策略研究","authors":"Yongming Cai, Wei Chen","doi":"10.1109/ISECS.2008.35","DOIUrl":null,"url":null,"abstract":"The authors investigate cobweb type service price fluctuations with adaptive learning, and put forward a dynamic service pricing method based on the dynamic stochastic wealth model (DSWM). In this model, authors treat the service market as an expectation feedback system, where the current market equilibrium price of service determined by aggregated individual service providerpsilas expectations of next periodpsilas yield. After several rounds of price adjustment, optimal pricing strategies can be conducted. In order to describe the fluctuations of price in future, authors also developed a set of market impact functions with the technique of dynamic harmonic regression modification to simulate the market impact.","PeriodicalId":144075,"journal":{"name":"2008 International Symposium on Electronic Commerce and Security","volume":"43 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"General Service Pricing Strategies Research Based on Dynamic Stochastic Wealth Model\",\"authors\":\"Yongming Cai, Wei Chen\",\"doi\":\"10.1109/ISECS.2008.35\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The authors investigate cobweb type service price fluctuations with adaptive learning, and put forward a dynamic service pricing method based on the dynamic stochastic wealth model (DSWM). In this model, authors treat the service market as an expectation feedback system, where the current market equilibrium price of service determined by aggregated individual service providerpsilas expectations of next periodpsilas yield. After several rounds of price adjustment, optimal pricing strategies can be conducted. In order to describe the fluctuations of price in future, authors also developed a set of market impact functions with the technique of dynamic harmonic regression modification to simulate the market impact.\",\"PeriodicalId\":144075,\"journal\":{\"name\":\"2008 International Symposium on Electronic Commerce and Security\",\"volume\":\"43 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-08-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 International Symposium on Electronic Commerce and Security\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISECS.2008.35\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 International Symposium on Electronic Commerce and Security","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISECS.2008.35","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
General Service Pricing Strategies Research Based on Dynamic Stochastic Wealth Model
The authors investigate cobweb type service price fluctuations with adaptive learning, and put forward a dynamic service pricing method based on the dynamic stochastic wealth model (DSWM). In this model, authors treat the service market as an expectation feedback system, where the current market equilibrium price of service determined by aggregated individual service providerpsilas expectations of next periodpsilas yield. After several rounds of price adjustment, optimal pricing strategies can be conducted. In order to describe the fluctuations of price in future, authors also developed a set of market impact functions with the technique of dynamic harmonic regression modification to simulate the market impact.
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