A quant finance group on LinkedIn

November 23, 2011

Room with a view.

A problem

Most groups concerning finance on LinkedIn are full of garbage.  Lots of items that don’t pertain to the real subject of the group, including lots that don’t pertain to much of anything.

The “Quant Finance” group was an exception — it was almost completely on-target.  However, it seems to have had a run-in with a black hole.

A solution

The SYMMYS Advanced Risk and Portfolio Management group is an exception to the noisy-group rule.  All the items I’ve seen have been pertinent to the group.  It focuses on the buy-side as opposed to sell-side or derivatives pricing issues.

Target topics include:

  • asset allocation
  • risk management
  • liquidity
  • model construction

asset allocation

Portfolio construction, optimization, robustness, tactical allocation, Black-Litterman, asset & liability management, dynamic strategies, alternative alpha/exotic beta, risk budgeting, hedging, performance attribution.

risk management

VaR and risk measures, diversification, market risk, credit risk, counterparty risk, operational risk, drawdown control, Fully-Flexible Probabilities, leverage.

liquidity

Market impact, optimal execution, algorithmic trading.

model construction

Estimation and forecasting, factor models, copulas, simulations, trees, lattices.

Technical level

The technical level of the group is quite high.  There is the desire that the level remain high.

Contraindications

The group is to be avoided if you have aibohphobia.  (Why isn’t it aidohphobia?)

The group is supported by a commercial entity, but that seems to have zero impact on the group.

Subscribe to the Portfolio Probe blog by Email

Leave a Reply

Related posts

  • December 12, 2011

    Last week was the news analytics workshop at Birkbeck College. The idea There is room in news analytics for a large range of approaches.  The leading model runs along [...]

  • December 5, 2011

    How do volatility estimates based on monthly versus daily returns differ? Previously The post "The mystery of volatility estimates from daily versus monthly returns" and its offspring "Another look [...]

  • November 30, 2011

    How does the effect of our expected returns change over time?  This is not academic  curiosity, we want to know in the context of our portfolio if we can.  [...]