{"title":"论离散时间资产定价的稳健基本定理","authors":"Huy N. Chau","doi":"10.1137/23m156032x","DOIUrl":null,"url":null,"abstract":"SIAM Journal on Financial Mathematics, Volume 15, Issue 3, Page 571-600, September 2024. <br/> Abstract.This paper is devoted to a study of robust fundamental theorems of asset pricing in discrete time and finite horizon settings. Uncertainty is modeled by a (possibly uncountable) family of price processes on the same probability space. Our technical assumption is the continuity of the price processes with respect to uncertain parameters. In this setting, we introduce a new topological framework which allows us to use the classical arguments in arbitrage pricing theory involving Lp spaces, the Hahn–Banach separation theorem, and other tools from functional analysis. The first result is the equivalence of a “no robust arbitrage” condition and the existence of a new “robust pricing system.” The second result shows superhedging dualities and the existence of superhedging strategies without restrictive conditions on payoff functions, in contrast to other related studies. The third result discusses completeness in the present robust setting. When other options are available for static trading, we could reduce the set of robust pricing systems and hence the superhedging prices.","PeriodicalId":48880,"journal":{"name":"SIAM Journal on Financial Mathematics","volume":"46 1","pages":""},"PeriodicalIF":1.4000,"publicationDate":"2024-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"On Robust Fundamental Theorems of Asset Pricing in Discrete Time\",\"authors\":\"Huy N. Chau\",\"doi\":\"10.1137/23m156032x\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"SIAM Journal on Financial Mathematics, Volume 15, Issue 3, Page 571-600, September 2024. <br/> Abstract.This paper is devoted to a study of robust fundamental theorems of asset pricing in discrete time and finite horizon settings. Uncertainty is modeled by a (possibly uncountable) family of price processes on the same probability space. Our technical assumption is the continuity of the price processes with respect to uncertain parameters. In this setting, we introduce a new topological framework which allows us to use the classical arguments in arbitrage pricing theory involving Lp spaces, the Hahn–Banach separation theorem, and other tools from functional analysis. The first result is the equivalence of a “no robust arbitrage” condition and the existence of a new “robust pricing system.” The second result shows superhedging dualities and the existence of superhedging strategies without restrictive conditions on payoff functions, in contrast to other related studies. The third result discusses completeness in the present robust setting. When other options are available for static trading, we could reduce the set of robust pricing systems and hence the superhedging prices.\",\"PeriodicalId\":48880,\"journal\":{\"name\":\"SIAM Journal on Financial Mathematics\",\"volume\":\"46 1\",\"pages\":\"\"},\"PeriodicalIF\":1.4000,\"publicationDate\":\"2024-07-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"SIAM Journal on Financial Mathematics\",\"FirstCategoryId\":\"96\",\"ListUrlMain\":\"https://doi.org/10.1137/23m156032x\",\"RegionNum\":4,\"RegionCategory\":\"经济学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"BUSINESS, FINANCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"SIAM Journal on Financial Mathematics","FirstCategoryId":"96","ListUrlMain":"https://doi.org/10.1137/23m156032x","RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"BUSINESS, FINANCE","Score":null,"Total":0}
On Robust Fundamental Theorems of Asset Pricing in Discrete Time
SIAM Journal on Financial Mathematics, Volume 15, Issue 3, Page 571-600, September 2024. Abstract.This paper is devoted to a study of robust fundamental theorems of asset pricing in discrete time and finite horizon settings. Uncertainty is modeled by a (possibly uncountable) family of price processes on the same probability space. Our technical assumption is the continuity of the price processes with respect to uncertain parameters. In this setting, we introduce a new topological framework which allows us to use the classical arguments in arbitrage pricing theory involving Lp spaces, the Hahn–Banach separation theorem, and other tools from functional analysis. The first result is the equivalence of a “no robust arbitrage” condition and the existence of a new “robust pricing system.” The second result shows superhedging dualities and the existence of superhedging strategies without restrictive conditions on payoff functions, in contrast to other related studies. The third result discusses completeness in the present robust setting. When other options are available for static trading, we could reduce the set of robust pricing systems and hence the superhedging prices.
期刊介绍:
SIAM Journal on Financial Mathematics (SIFIN) addresses theoretical developments in financial mathematics as well as breakthroughs in the computational challenges they encompass. The journal provides a common platform for scholars interested in the mathematical theory of finance as well as practitioners interested in rigorous treatments of the scientific computational issues related to implementation. On the theoretical side, the journal publishes articles with demonstrable mathematical developments motivated by models of modern finance. On the computational side, it publishes articles introducing new methods and algorithms representing significant (as opposed to incremental) improvements on the existing state of affairs of modern numerical implementations of applied financial mathematics.