This HTML5 document contains 6 embedded RDF statements represented using HTML+Microdata notation.

The embedded RDF content will be recognized by any processor of HTML5 Microdata.

PrefixNamespace IRI
dcthttp://purl.org/dc/terms/
fabiohttp://purl.org/spar/fabio/
n2http://ns.inria.fr/covid19/a105b9c43649f54434beb3224ccef73174fe7fef#
rdfhttp://www.w3.org/1999/02/22-rdf-syntax-ns#
frbrhttp://purl.org/vocab/frbr/core#
covidhttp://ns.inria.fr/covid19/
xsdhhttp://www.w3.org/2001/XMLSchema#
Subject Item
n2:abstract
rdf:type
fabio:Abstract
rdf:value
Abstract Nowadays, stock market is becoming a popular investment platform for both institutional and individual investors. The current financial information systems serve to provide latest information. However, they lack sophisticated analytical tools. This paper proposes a new architecture for financial information systems. The developed prototype is entitled as the Multi-level and Interactive Stock Market Investment System (MISMIS). It is specially designed for investors to build their financial models to forecast stock price and index. The performance of the financial models can be evaluated on a virtual trading platform. There are other features in MISMIS that are tailor-made to handle financial data; these include synchronized time frame, time series prediction techniques, preprocessing and transformation functions, multi-level modeling and interactive user interface. To illustrate the capability of MISMIS, we have evaluated strategies of trading the future options of Hang Seng Index (HSI). We find that historical HSI, Dow Jones Index, property price index, retailing sales figure, prime lending rate, and consumer price index in Hong Kong are essential factors affecting the performance of the trading of HSI’s future option. Also there are some feedbacks from the in-depth interviews of six financial consultant upon how they perceived the prototype MISMIS.
dct:subject
Concepts in the philosophy of mind Metropolitan areas of China Hong Kong
frbr:partOf
covid:a105b9c43649f54434beb3224ccef73174fe7fef