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 Stability and liquidity of financial markets exemplified by an agent-based model Applications of Microscopic Modelling in Finance.
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Stability and liquidity of financial markets exemplified by an agent-based model Applications of Microscopic Modelling in Finance.

автор Alexander W. C. издательство Книга по Требованию Информационные технологии в экономике
Cтраниц 172        мягкая обложка       
Аннотация:For the financial industry, it is of paramount importance to understand the statistical features of price processes. While statistical models can reproduce empirical findings, they cannot give insight into the causal relationships and the market's response to a changing environment. Microscopic models of financial markets are an approach to understand the underlying mechanisms determining the market behaviour. In this book, we give an introduction to the basic idea of microscopic modelling with a particular focus on the "Opinion Game", a microscopic market model introduced by Bovier, ?erny and Hryniv (2006). Within the framework of the Opinion Game, we devote ourselves to two issues: First, the market stability in dependence on long-term investors and, second, the market illiquidity when orders of large volumes are executed. A survey of a JAVA implementation of the Opinion Game completes the book.
Автор: Alexander W. C.
Издательство: Книга по Требованию
Год:2010
Цена:
3620 руб
Нет в наличии
Поиск: Stability and liquidity of financial markets exemplified by an agent-based model Applications of Microscopic Modelling in Finance.
НОВЫЙ ГОД СИМВОЛ 2013 ГОДАУКРАШЕНИЯ
КАРНАВАЛ НА НОВЫЙ ГОД РАСПРОДАЖА
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Evaluating the GPRS Radio Interface for Different Quality of Service...

I co ras o he models developed i , our approach addi io ally represe s he mobili y of users hrough arrival ra es of ew GSM a d GPRS users as well as ha dover ra es of GSM a d GPRS users from eighbori g cells. Fur hermore, we co sider users wi h differe QoS profiles modeled by a weigh ed fair queuei g scheme accordi g o . he remai der of he paper is orga ized as follows. Sec io 2 describes he basic GPRS e work archi ec ure, he radio i erface, a d differe QoS profiles, which will be co sidered i he simula or. I Sec io 3 we describe he sof ware archi ec ure of he GPRS simula or, de ails abou he mobili y of GSM a d GPRS users, he way we modeled quali y of service profiles, a d he workload model we used. Resul s of he simula io s udies are prese ed i Sec io 4. We provide curves for average carried raffic a d packe loss probabili ies for differe cha el alloca io schemes a d packe priori ies as well as curves for average hroughpu per GPRS user.3 he Simula io Model We co sider a clus er comprisi g of sever hexadiago al cells i a i egra ed GSM/GPRS e work, servi g circui -swi ched voice a d packe -swi ched da a calls. he performa ce s udies prese ed i Sec io 4 were co duc ed for he i ermos cell of he seve cell clus er.
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