our News

January 20, 2010

Semlab to research News Optimised Risk Management (NORM)

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

Forum on News Analytics, London

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 lecture at Dow Jones meeting in Frankfurt

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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

 

October 12, 2009

Semlab in Machine Translation project: Let’sMT!

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Semlab had joined an international consortium of researchers, linguistic experts and software developers to create a system that automatically translates relatively small languages.

The focus in the project lies with small languages such as Latvian, Lithuanian, Croatian, etc. and one of the main methods that will be used is Statistical Machine Translation (SMT). SMT systems are built by analyzing huge volumes of parallel corpus and learning translation models from these data. This is particularly tricky with smaller languages since the available corpus data is much smaller.

The project aims at a.o. developing a widget or browser add-on that translates such small languages and is currently under evaluation at the European union.

For more information: Let’sMT! Project website

 

October 5, 2009

Solim project meeting in Riga

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The Solim project’s spatial reasoning system has been in development for one year and Semlab, Picsearch and AGMlab will meet their partner Tilde at their office in Riga this week to discuss the project’s future.

Last year, the project members have determined the application’s requirements and designed the language, reasoner, translation and image search functionality of the proof of concept (PoC) application. In the coming year, these separate elements will be implemented in order to build the final application.

For more information: Solim Project website

 

September 28, 2009

RTD Tango enhanced by SemLab’s ViewerPro

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RTS Realtime Systems Group, the leading global trading solutions provider, announced that it has added an additional third party data provider to further strengthen its offering of low latency data and news feeds for algorithmic trading clients interested in event-based trading opportunities. RTS has integrated into RTD Tango, its algorithmic trading solution, feeds from SemLab’s ViewerPro, which provides computer-readable news within milliseconds of an event.

See the full RTS press release: Yahoo Finance

 

September 26, 2009

Semlab in RTS Webinar “How to Capitalize on Event Based Trading”

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On Wednesday the 23rd of September 2009, experts from SemLab, Need To Know News, RavenPack and RTS had a lively discussion in the webinar: “How to Capitalize on Event Based Trading”.

During the webinar it was discussed what event based trading really is, how traders are able to capitalize on expected and unexpected events, how technology plays a role in event based trading and how the different types of event-based strategies are deployed across all asset classes worldwide.

You can view the webinar here.

 

September 24, 2009

Semlab to enhance Market Risk assessment metrics

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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

SemLab’s Semantic Search

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.

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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

Equity markets and The News – Part I

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”.