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RaisePartner

RaisePartner provides software and services for decisional risk management.

We develop risk alerts, risk models, performance signals and investment strategies to build shock-resistant portfolios.

Our goal is to help our clients enhance their asset allocation and risk management processes by bringing together the best of quantitative and qualitative approaches.

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To learn more about RaisePartner, download our company brochure.
 
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Q4 2006
Q3 2006
Q3 2006
Posted on 12-Jun-2006

 
 

EDITORIAL


Over the past few decades, the Asset Management industry has been rapidly evolving due to a growing demand for sophisticated products, an increasing amount of asset under management and the globalization of financial markets.

These changes come with new needs for an efficient industrialization of the investment process, making the quantitative issues a front-rank concern.


We are launching this quarterly newsletter to keep you informed with the latest Asset Management practices, and to give you a regular follow-up of RaisePartner’s current events. You will find the points of view of our experts on the latest trends in the AM world, as well as related case studies based on our solutions.


Enjoy your reading!
Francois Oustry, CEO of RaisePartner

CONTENTS
 
In this issue, read about:
 
This issue's focus  Optimization for Global Risk Modeling

New Trends

Achieving Efficiency and Sustainability with SRI

User case

Fund Rebalancing with NORM Asset Management®
 
RAISEPARTNER NEWS

RaiseParnter Inc. in NYC

RaisePartner expands and creates its NYC-branch, RaisePartner Inc., settled in NYC, 505 Park Avenue.
  
 



Upcoming publication
 
RaisePartner is contributing to the upcoming special issue of the Journal of Asset Management - Optimization: recent advances and applications to investment management - with an article on Semi-Definite Optimization for Global Risk Modeling.
 
 
FOCUS
 
Semi-Definite Optimization for Global Risk Modeling
Veronique Piolle, Research Consultant at RaisePartner
 
One of the current challenges of risk modeling consists in building global risk models from local ones. Starting from a set of local market risk forecasts and cross-markets correlations, we compute a global covariance matrix preserving local market estimations and ensuring the required positive semidefinite properties.
Convex optimization is an original and very performing approach for such an issue.
  
 
NEW TRENDS
 
Achieving diversification and performance through Socially Responsible Investing
 
Over the past 10 years, there has been a growing interest in Socially Responsible Investments from mainstream investors, including large pension funds and insurance companies.

What upcoming trends should we expect in Screening, Community Investing and Shareholder Engagement? How can quantitative approaches help responsible investors achieve both sustainability and efficiency?
 
 
USER CASE

Fund Rebalancing and Creation of Asymmetry

A fund manager wants to introduce a quantitative approach in his management strategy so as to support his rebalancing decisions. He wants to enhance the resistance of his portfolio to bearish periods, while still taking advantage of bullish periods.
This case study highlights the smoothing effect and the « creation of asymmetry »entailed by the allocation strategies designed with NORM Asset Management®.


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