May 22, 2010
In the coming months Semlab’s ViewerPro system for automated semantic analysis of financial news, will be used by several international financial organisations in Japan, the USA, France, Germany, the U.K and the Netherlands.
ViewerPro processes incoming financial news events and determined the impact of messages on equity portfolios.
January 28, 2010
The finalised copies of the ViewerPro Client evaluation CD are ready to be handed out at the next few meetings that Semlab will attend.
This promotional CD contains a fully functional trial version of the ViewerPro client for financial news analysis, intended for evaluation purposes. This trial includes access to the live DowJones Newswire feed and includes installers for Microsoft Windows and Linux platforms.
January 20, 2010
Semlab’s Mark Vreijling will lecture at the pre-conference workshop of News Analytics Applied to Trading, Fund Management and Risk Control, at the 1st of February 2010, London.
The lecture, titled Practical Use of News in Equity Trading Strategies will address issues concerning the possibilities of current technologies to quantify the content of news, how news analytics are to be used and the benefits of automatic news analytics for equity trading strategies.
For more information: Carisma Workshop
January 20, 2010
The European Union has approved our NORM proposal. Semlab and a consortium of international partners will start researching News Optimised Risk Management.
In today’s chaotic financial climate, systems for predicting market behaviour and attitudes of financial professionals are under scrutiny. Current market risk assessment characteristics disregard market information that is available from additional sources like, for example, financial news. There are whole new possibilities for producing meaningful market behaviour models by incorporating behavioural and quantitative finance, using the latest techniques and powerful modelling tools. The prevailing market environment can (to some extent) be captured by key innovative techniques of news analytics that quantify news sentiments. The emergence and impact of such behavioural finance is illustrated by the 4-5 Nobel Prizes for Economics awarded in this field in recent years.
This project aims to enhance market risk assessment metrics by using semantically analysed news-based information. This will compensate for inflexibility of existing models with regard to strong market fluctuations or market instability and give more dynamic, more reliable market risk estimation.
November 11, 2009
This week, Semlab attended the ‘Forum on News Analytics applied to Trading, Fund Management and Risk Control’, at Canary Wharf in London.
Our director of research, Dr. Mark Vreijling, gave a lecture on Semlab’s cutting edge news analytics platform ViewerPro, and the prospects of using semantic news analysis for Trading and Risk Control.
Financial news contains market information that is potentially useful for trading and risk assessment. Most financial companies still have no way of automatically analysing news and information is either missed or takes long to process. With semantic analysis platforms like ViewerPro, no news is missed and desisions can be made much quicker.
For more information: Forum on News Analytics
October 27, 2009
Semlab’s director of research, Dr. Mark Vreijling, was invited by Dow Jones to lecture on ‘Semantic analyses for non scheduled event driven trading’ at ‘The Evolution of Trading & Execution’ meeting in Frankfurt am Main, on Wednesday the 18th of November, 2009.
Other speakers include Prof. Dr. Christoph Lattemann (Professor for Corporate Governance & eCommerce, University of Potsdam), Nicole Schröpfer (Business Development Manager, Dow Jones), Klaus Brune (News Editor, Dow Jones).
For more information: Dow Jones Briefing
September 24, 2009
Semlab, together with an international consortium of financial experts and supported by several large financial institutions, has submitted a proposal to the EU to enhance market risk assessment calculations by incorporating real time semantically analysed news-based market information.
The aim is to improve market risk metrics, such as the Value at Risk (VaR) and Expected Shortfall (ES). The incorporation of financial news will compensate for inflexibility of existing models with regard to strong market fluctuations or market instability and give more dynamic and more reliable market risk estimation.
The consortium consists of several top level financial experts and software companies as well as cutting edge research institutes.
June 11, 2009
The SemLab semantic search platform is based on our Vicore™ data processing platform which, among others, is the basis of our leading semantic news analysis solution ViewerPro™.
The purpose of semantic search is to improve standard keyword-based search technologies by adding domain dependent, a-priory knowledge about the semantics of the concepts entailed in the documents that are analysed. This a-priory knowledge is contained in ontologies: formal descriptions of the concepts that exist in the domain of application. In general the ontologies play a pivotal role in a semantic enabled technology and have a profound effect on its overall quality. For a search platform, the common quality parameters Precision and Recall will largely depend on the quality of the ontologies used.
Semlab’s semantic platform fully acknowledges that ontologies are the key to a successful semantic analysis system and therefore support ontology maintenance as a core technology. This includes both expert knowledge expression as well as (supervised) automatic ontology learning from domain-specific documents. In addition the SemLab platform fully supports existing base ontologies and offers their own default domain ontologies for many areas of financial information management, exactly as are used every day by the ViewerPro semantic news analysis platform.
The SemLab semantic platform is in essence a data pipelining platform in the sense that the data sources are fed to the start of the line, various relatively independent subsequent operations are done on the data. The results of these are stored in various databases.
In the case of semantic search, the data sources consist of text documents (e.g. reports, news messages, e-mails) in various formats and the final result is an semantic index, modeling the occurrence of ontology terms in the documents. When a user presents the platform with search query, this query is treated as if it were another document and also expressed in terms of the ontology. Since both the document corpus and the user’s query are expressed within the same domain of discourse, they can be compared and ranked on similarity. Finally, using carefully designed threshold values, the resulting document sections are presented to the user in a GUI or available through an API to other applications. In addition to the retrieval of documents, the domain ontology can also be queried directly. In this way the semantic search platform also serves as a question answering tool, enabling users to quickly retrieve the corporate domain knowledge.
May 25, 2009
Traditional economic theory has a well defined position regarding the possible effectiveness of news to determine the future behaviour of equity markets.
One of the basic assumptions, that equity prices essentially perform a random walk around the prevailing trend, would appear to foreclose any likelihood of outperforming the market for any significant period of time. It is claimed that the sheer number and interconnectedness of the variables determining the outcome leads to an intricate interdependent system that can only effectively be modelled using the mathematical concept of a non-linear dynamic system. The essence of a non-linear dynamic system is that minute – practically undetectable – changes in entry conditions may well lead to very significant differences in the outcome. Thus, effectively preventing any meaningful predictions about the future outcome, even if all entry conditions were known.
This leads to a situation of uncertainty which is graphically illustrated by prof. John Allen Paulos (1). He state that all equity market assessments essentially state that “Things will continue roughly as they have been” with the added clause “Until something changes”.
May 25, 2009
The relationship between news articles and the behaviour of the stock market has received steady interest by the scientific research community over the last 40 years. With the emergence of effective text analysis technology, and recently with the onset of semantic processing, efforts to capture this relationship have been intensified with (among many others) the following interesting results.
Copyright © 2023 SemLab The Netherlands - Terms of Use
Read more