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The Online Academic Advisor

Monday, March 12th 2007
Contents

  1. Tips on Your Profile
  2. Advertise Scholarships for Free
  3. A Workshop Annoucement

1. Tips on Your Profile

Your profile tells something about you to other users on our portal. Therefore, it is important to keep it up-to-date and comprehensive. The more info you provide, the more users will contact you. So, put everything in: what you have studied, what you are looking for, who you would like to meet, what and where you would like to study etc.

Most users are looking for the following info in your profile: Subject, Country, City, University. And many users even have contacted us and asked why people do not tell others where they are from. Therefore, we have made these fields mandatory for new registrations.

So, our recommendation is: check your profile and make sure it is up-to-date, comprehensive and tells other users where in the world you are from.

2. Advertise Scholarships for Free

Academics look for places to advertise scholarships. The places they have found so far charge them for scholarship advertising. We think it is not right. The money can be spent better.

So, we decided to announce free scholarship advertising on our portal. Every academic with approved qualification can now advertise their scholarships for free. Right here. We put your scholarships in our scholarships database which can be browsed by all our users. Reach the best students for free!

There is not much in our scholarships database at the moment. Thus, for students, it is probably not the right time to browse it yet. However, we are sure it will fill up quickly (it is free to advertise). So, it is worth coming back and checking for scholarships every now and then.

3. A Workshop Announcement

On behalf of our partner - MathFinance - we deliver some info to you about a workshop:

7th Frankfurt MathFinance Workshop
Derivatives and risk management in theory and practice
26-27 March 2007

Join Germany's leading Quant Conference
Details and registration at workshop.mathfinance.com

List of speakers:
Alexander Antonov, Numerix
Jörg Behrens, Ernst & Young Switzerland
Oliver Caps, Dresdner Bank
Sergio Dutra, Commerzbank
Ernst Eberlein, University of Freiburg
Friedrich Hubalek, Technical University of Vienna
Gabriele Guehring, d-fine
Susanne Griebsch, Frankfurt School of Finance & Management
Jörg Kienitz, Postbank
Roger Lord, Rabobank International
Christian Menn, Sal. Oppenheim
Attilio Meucci, Lehman Brothers
Morten Nalholm, University of Copenhagen
Natalie Packham, Frankfurt School of Finance & Management
Jianwei Zhu, Sal. Oppenheim

Info line: info@workshop.mathfinance.com

The conference is sponsored by:
Commerzbank AG, Financial Engineering Team
d-fine GmbH
Sal. Oppenheim jr. & Cie. KGaA, Trading & Derivatives
SciComp Europe
Lucht Probst Associates GmbH

Preceding Workshop

Dr Attilio Meucci, CFA
Advanced Quantitative Risk and Portfolio Management
Do not trust black-box software applications
Learn first-hand and avoid mistakes while managing your positions
Saturday 24 & Sunday 25, March 2007
Frankfurt, Germany

Course Overview

The course, which is taught in full-semester format at the Master’s in Financial Mathematics - Courant Institute of New York University and in the Master’s in Financial Engineering at Columbia University, covers all aspects of quantitative portfolio management and risk management from the foundations to the state-of-the-art in the industry.

The course is based on Dr Meucci’s bestseller, Risk and Asset Allocation - Springer. All delegates will be given a complimentary copy of the book.

  • Multivariate estimation techniques: non-parametric, maximum-likelihood under thick tails, shrinkage, robust, Bayesian
  • Market modeling: copulas, market location-dispersion ellipsoid, factor models, principal component analysis, FFT projection of market to the horizon, delta-gamma and full Monte Carlo pricing
  • Portfolio evaluation: stochastic dominance, utility, value at risk, expected shortfall, coherent measures
  • Allocation techniques: trading/prospect theory, total return management, benchmark allocation
  • Portfolio optimization under estimation risk: Black-Litterman, Bayesian, cone programming and robust optimization
More information and booking at workshop.mathfinance.com


Thanks for being part of The Online Academic Advisor, the world's strongest, and soon largest, academic community growing daily.

Happy Researching!
The Online Academic Advisor Team


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