There are many tactics to build an individual risk management platforms.
We offer an approach that I would call co-evolution - where we both take the difficult parts and exploit generic technologies. We both know it is worth doing the hard work - we as technology provider, you as solution maker and integrator.
Is There Optimal Competence?
Getting more competence, we get better in what we are doing. But this has also a little danger. We might close ourselves off from the new, and consequently opportunities.
Quants With Future - Hard AND Soft Methods?
Analytic methods based on modeling to transform data sets or data driven methods where models are extracted from data sets? Mathematics or machine learning?
Is This the Best I Can Do?
In search of perfection, we often ask ourself "Is it the best our team can do?" - and usually the answer is "yes", but it would be stupid to think we were done and settle. No, we disrupt ourselves ...
A Visit From The Methodology Police
Another post from the Eight to Late Blog, I want to share with you. Remember A Blog I Read.
It again refers to the wide misunderstanding that a given methodology improves the chances for success. It does not in problem solving, not in engineering, not in project management and not in marketing. And not in financial valuation and risk management.
It again refers to the wide misunderstanding that a given methodology improves the chances for success. It does not in problem solving, not in engineering, not in project management and not in marketing. And not in financial valuation and risk management.
Which Model - Uninformative Data?
Just a few minuets ago, I read this: The reason macroeconomics does'nt work too well - Noahpinion's blog. With the eye of a quant finance person, I simplify to two problems: uninformative data and the difficulty to decide which competing model does explain the data best.
Quantsourcing - Quants as Innovation Partners
Our business model? There are many strategy and management advises on how-to-making-a-company-great. With rules that could be summarized to better-not-cheaper, revenue-before-cost ... I partially disagree ....
When Three Rights Make A Wrong
Yesterday I posted about model abuses, today I read in HBR, Apr 2013, Robert C. Merton - Innovation Risk. Both about complicated models. Whilst the former emphasizes on lying the latter summarizes: a more-complete but more-complicated model may carry greater risk than a cruder one if the user is not qualified for the job.
Stop Lying With Models?
Again from Mark Buchanan's Blog: Model abuse .. stop it now.
It seems risk models in finance are repeatedly abused to suite the need to higher ups.
I think we would benefit from better and more realistic models of systems in economics, in finance, better models for assessing risks, and so on. But having a netter model is on thing, using it is another entirely.he wrote.
It seems risk models in finance are repeatedly abused to suite the need to higher ups.
Job Satisfaction Matters
The other day when I wrote my recent post A Brand Promise I thought, I, as You, spend more time at work then any other single activity. Does it make me happy?
A Brand Promise
IMO, a brand is not only a collage of design items, artworks and messages. It's a promise. It is about expectations, permissions and knowledge.
UnRisk Principles and Success Factors
At the 11years UnRisk event our CEO Andreas clustered our success factors in three classes:
a solid mathematical foundation
a flexible high performance software architecture
transparency plus service orientation
In detail they are 11.
a solid mathematical foundation
a flexible high performance software architecture
transparency plus service orientation
In detail they are 11.
Coal Faced Mathematicians In Quantitative Finance
From the book description at amazon
Let's Continue With Retooling ...
About four years ago I wrote my first post here - introducing the UnRiskverse and our evolutionary approach. I started with an instant layout and an eye-popping design and it took some time to decide for the result you see here - less is more.
You Always Know Where To Find Us ...
On the picture you see the building we act from. It is part of the science park of the Johannes Kepler University of Linz, Austria. Our headquarter.The UnRisk offices are at the fourth floor (left/top). Andreas' office provides a breathtaking view of the rolling hills which range from Linz far into Bohemia. And so does our meeting room where our customer/partner and internal meetings take place, as well as seminars of the UnRisk Academy.
We are embedded in an Industrial Math Cluster with 90 researchers.
Our customers always know who they are working with and where to find us and the connection with the industrial math cluster enables us to co-evolute on the basis of the latest cross-sectoral mathematical schemes and to transform them into know-how packages for our customers.
Teams in this building and us have solved challenging problems in steel production, adaptive optics, combustion engines, plastic extrusion and injection ... I wrote about Blast Furnaces and Mathematical Finance and Telescopes and MF and they have things in common.
The server room of this building hosts our cluster and the machine infernal which we utilize for hybrid CPU/GPU developments and tests. Knowing now into the deepest wires how to manage them we make UnRisk inherently parallel to support computing muscles that might outperform our powerful machine by far.
Andreas and Michael will post examples of the cross-sectoral mathematical schemes hat are most relevant to quantitative finance in the near future here. Compilations of chapters of their book "A Workout in Computational Finance", to be released begin Jul-13.
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