{"title":"Hedging derivative securities with genetic programming","authors":"Shu-Heng Chen, Wo-Chiang Lee, C. Yeh","doi":"10.1002/(SICI)1099-1174(199912)8:4%3C237::AID-ISAF174%3E3.0.CO;2-J","DOIUrl":"https://doi.org/10.1002/(SICI)1099-1174(199912)8:4%3C237::AID-ISAF174%3E3.0.CO;2-J","url":null,"abstract":"One of the most recent applications of GP to finance is to use genetic programming to derive option pricing formulas. Earlier studies take the Black–Scholes model as the true model and use the artificial data generated by it to train and to test GP. The aim of this paper is to provide some initial evidence of the empirical relevance of GP to option pricing. By using the real data from S&P 500 index options, we train and test our GP by distinguishing the case in-the-money from the case out-of-the-money. Unlike most empirical studies, we do not evaluate the performance of GP in terms of its pricing accuracy. Instead, the derived GP tree is compared with the Black–Scholes model in its capability to hedge. To do so, a notion of tracking error is taken as the performance measure. Based on the post-sample performance, it is found that in approximately 20% of the 97 test paths GP has a lower tracking error than the Black–Scholes formula. We further compare our result with the ones obtained by radial basis functions and multilayer perceptrons and one-stage GP. Copyright 1999 John Wiley & Sons, Ltd.","PeriodicalId":153549,"journal":{"name":"Intell. Syst. Account. Finance Manag.","volume":"384 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1999-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124773553","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"An examination of the psychological traits that affect the ability of tax experts to communicate their expertise","authors":"R. Michaelsen, Nancy B. Nichols","doi":"10.1002/(SICI)1099-1174(199909)8:3%3C145::AID-ISAF171%3E3.0.CO;2-P","DOIUrl":"https://doi.org/10.1002/(SICI)1099-1174(199909)8:3%3C145::AID-ISAF171%3E3.0.CO;2-P","url":null,"abstract":"Expert systems have become important in taxation. Previous research indicates that the major bottleneck in the development of tax expert systems is the selection of an expert who is able to communicate his or her expertise. This study identifies the psychological traits most likely to affect the ability of tax experts to communicate their expertise and measures these traits in tax experts whose ability to communicate expertise was tested during previous expert systems research. The results of the personality trait and communication competence questionnaires indicate that experts who are introspective, secure and confident doing familiar work, more agreeable and accommodating, and honest with themselves communicate a greater amount of useful knowledge than those without these traits. The study also finds that cognitive style is not a significant factor. Copyright 1999 John Wiley & Sons, Ltd.","PeriodicalId":153549,"journal":{"name":"Intell. Syst. Account. Finance Manag.","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1999-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130483172","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Multiagent systems for workflow","authors":"Munindar P. Singh, M. Huhns","doi":"10.1002/(SICI)1099-1174(199906)8:2%3C105::AID-ISAF163%3E3.0.CO;2-%23","DOIUrl":"https://doi.org/10.1002/(SICI)1099-1174(199906)8:2%3C105::AID-ISAF163%3E3.0.CO;2-%23","url":null,"abstract":"Workflows are ubiquitous in business computing. They arise not only within an enterprise, but increasingly across enterprises as well—in situations such as virtual enterprises and applications such as supply-chain management. Although the importance of workflows as a basis for understanding and automating business activities is widely recognized, current workflow practice leaves much to be desired. To a large extent, this problem arises because of the rigidity of current technology, which does not accord well with the complex, heterogeneous, dynamic environments in which workflows are applied. Agent technology promises to alleviate many of these problems and hence enable adaptive workflows in realistic settings. We consider interaction-oriented programming (IOP), an approach to software engineering based on multiagent systems that we have been developing. We focus on one aspect of IOP, which deals with social commitments and enables agents to flexibly enact a multienterprise workflow by entering into and behaving according to their commitments to each other. The agents can cancel or modify their base-level commitments only if they satisfy the metacommitments that then go into effect.","PeriodicalId":153549,"journal":{"name":"Intell. Syst. Account. Finance Manag.","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1999-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133167477","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Algorithms for handling soft constraints and their applications to staff scheduling problems","authors":"Qi Zhao, R. Goebel","doi":"10.1002/(SICI)1099-1174(199906)8:2%3C119::AID-ISAF165%3E3.0.CO;2-N","DOIUrl":"https://doi.org/10.1002/(SICI)1099-1174(199906)8:2%3C119::AID-ISAF165%3E3.0.CO;2-N","url":null,"abstract":"This paper presents a new model for dynamically deciding when, how, and to what extent soft constraints should be relaxed. The first part of the model is a depth-first search algorithm and a best-first repair algorithm which can generate partial schedules quickly. The second part is an iterative relaxation algorithm which can augment the generated partial schedules by slightly relaxing potentially relaxable constraints (i.e. soft constraints). The model guarantees that (1) a soft constraint will be relaxed only when no backtrack (repair) can be made within a time limit, (2) the relaxation of soft constraints can always deepen the search tree, and (3) the relaxation will only be made at dead nodes, and when the search algorithm can be continued the relaxed soft constraints will return to their initial states. The model has been successfully applied to two staff scheduling problems, dispatcher scheduling problem and crew scheduling problem. Copyright 1999 John Wiley & Sons, Ltd.","PeriodicalId":153549,"journal":{"name":"Intell. Syst. Account. Finance Manag.","volume":"231 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1999-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132184865","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A validated expert system for decision making in corporate recovery","authors":"P. Collier, S. Leech, N. Clark","doi":"10.1002/(SICI)1099-1174(199906)8:2%3C75::AID-ISAF164%3E3.0.CO;2-T","DOIUrl":"https://doi.org/10.1002/(SICI)1099-1174(199906)8:2%3C75::AID-ISAF164%3E3.0.CO;2-T","url":null,"abstract":"","PeriodicalId":153549,"journal":{"name":"Intell. Syst. Account. Finance Manag.","volume":"139 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1999-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122901695","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}