With 1-2-3 Spreadsheets Became Killer Applications

Wired Blog: This-Day-In-Tech. 26-Jan-1983: Spreadsheet as Easy as 1-2-3.
1983: Lotus begins selling its spreadsheet application for Microsoft DOS, called 1-2-3.
1-2-3 was not the first spreadsheet application — it was preceded by VisiCalc. But 1-2-3 quickly became the most popular, helping to boost sales of IBM PCs and PC clones.

Utilizing The New Computing Muscles

It seems that the race for speed in finance is driven by sprinting for advantage in providing more frequent trading. Huge computing centers are built to trade in less-than-a-blink-of-an-eye. High-frequency traders use algorithms to zip in and out of markets often changing orders (and even strategies?) within seconds. So far so ….

On The Valuation Planet - Quants And Us

It is said insular, opaque markets are passe. Infrastructures for for independent asset and portfolio valuation, especially where complex and structured products are concerned must be re-invented. As valuations need to become more individual, valuation and analytics platforms need to become transparent.

The Future Is Our Friend

Mathematica 8's Software Development Support allow us to even improve and accelerate our Mathematica/C++ integration and workflow.
NVIDIA's Tesla GPUs and CUDA for programming massive parallel processors allow us to calibrate complex models and offer solutions hat could not be done without.

First We Build The Tools - Then They Build Us

said Marshall McLuhan. McLuhan's most widely known work Understanding Media: The Extensions of Man is a pioneering study in media theory. McLuhan's insight was that a medium affects the society in which it plays a role not by the content delivered over the medium, but by the characteristics of the medium itself. 

UnRisk Premium Service - What Is It?

If you purchase a product, you want to get the most out of it and have the flexibility to adapting it to your platform- and use-evolution.

The UnRisk Agenda 2011

The financial crisis has raised many questions. In the frame of principle discussions, like do market imperfections arise out of imperfect or asymmetric information, or alike, many of them have a deeply technical nature: Is quant finance about predictive modeling, or is it explanation by inverting real market dynamics? Shall we model more or less, use simpler or even more complex models? Is VaR misleading? Can we assess the quality of a model, without looking into its implementation?  How does the coverage and quality of market data influence the quality of deal decisions?  How will new ultra-fast processors and their mobile-focused versions influence quant finance? 

Is There Anything That Only I Can Do?

I have started as a programmer 35 years ago and have been a CEO for 20 years now.
I am passionate about future technologies and demand-first innovation. With UnRisk we are celebrating its 10th year. It's been a remarkable journey so far and we are proud of the work we have completed through the years. UnRisk - 10 Years After.

Bursting with Ski Technologies is not Enough

Like every year, I took a few days off and went to Ramsau-Dachstein to enjoy some cross country skiing. Skating on their world championship cross-country trails is really challenging.