Thanks David
20 Nov 2008
Learn Finance with the pros. Better articles, resources and screencasts for easier learning.

This is the fifth post (5/5) in a series getting a jump start on the 2007 FRM exam. The final module, a recent addition to the curriculum, is called Risk Management and Investment Management. This module only weighs 10% for the exam, but it's jam-packed with interesting topics. We represent the building blocks as follows:

From left to right, the building blocks include:
Regarding hedge funds, you could start to familiarize yourself with the various investing hedge fund strategies and styles. To date, the curriculum has followed Pierre-Yves Moix in Lars Jaeger's anthology, who makes a distinction by referring to style as the generic and strategy as the specific approach taken by a hedge fund manager. In hedge fund investing, style drift is ambiguous because hedge funds are absolute return vehicles. A long-only mutual fund typically benchmarks against a well-defined index; drift "away from" the S&P 500, for example, is pretty easy to identify. But it's harder to identify drift if the hedge fund doesn't track against a readily identifiable index.
In regard to strategies, Hedge Fund Research, Inc. publishes (and tracks) a great list of strategy indices. In regard to strategies. The thing to keep in mind is that you are studying risk so you want to associate each style with its risk characteristics. Specifically, each hedge fund strategy implies its own set of risk factors. For example:

For each strategy, ask, how does it produces alpha. Then, what risk exposures generate the alpha? Event-driven strategies like merger arbitrage have primary exposure to the deal risk premium. Fixed-income arbitrage has systematic exposure to interest rate risk, credit risk, and perhaps liquidity risk.
For portfolio theory, just go right to the robust Amenc readings on the capital asset pricing model (CAPM) and multi-factor models. Keep in mind the following:
On this last point, it's not as difficult as it first seems. In both cases (APT and empirical), excess returns are a function of a risk factor multiplied by (x) the security?s sensitivity to that factor. See how the CAPM is a special case: beta is the sensitivity and the market's equity risk premium is the (only) risk factor.
So, the ATP model looks like this (focus on the right-hand side; the left-hand side is the expected excess return):

And the empirical multifactor model looks like this:

Except for the error term (residual), both are functions of: sensitivity multiplied by risk factor. In the former (APT), those risk factors generic (or common or external) to the security. In the latter (empirical), the risk factors are specific or internal to the security.
In regard to risk budgeting, we like to use the graphic below. The point is that asset allocation can be at variance with pension plan liabilities. This variance?we can see it as the risk of underperformance?can be decomposed into four layers:

From "big to small," surplus at risk (SAR) is the difference between the policy asset allocation (PAA) and the pension liabilities. Implementation risk is the difference between PAA and tactical asset allocation (TAA). Active risk for the plan is next; finally active risk per manager.
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