EV - R25 Active Equity Investing: Portfolio Construction Flashcards
Generate active return
- strategically adjusting the active weights of the securities to create long term exposures to rewarded risks that are different from those of his benchmark
- tactically adjusting the active weights of the securities using his skills and expertise in identifying mispricing in securities, sectors, rewarded risks, and so on to generate alpha that cannot be explained by long term exposure to rewarded risks
- assuming excessive idiosyncratic risk that may result in lucky or unlucky returns
Portfolio construction building block
- Rewarded factor weightings
- Alpha skills
- position sizing
- breath of expertise
Portfolio construction building block - rewarded factor weightings
over/under rewarded factors
Portfolio construction building block - alpha skills
- timing the exposure would be a source of alpha
- can also be generated from timing exposure to unrewarded factors, such as regional exposure, sector exposure, and price of commodities, or even security selection
- or even timing other asset classes (such as cash)
Portfolio construction building block - Sizing positions
It is about balancing managers’ confidence in their alpha and factor insights while mitigating idiosyncratic risk.
Manager’s choice with respect to the position sizing is influenced by her investment approach and the level of confidence in her analytic work. Higher confidence, willing to assume high levels of idiosyncratic risk, which is consistent with her emphasis on the “a + e’ part of equation on page 463 #2
Portfolio construction building block - breath of expertise
The important of breath of expertise is implicit in the fundamental law of active management, which implies that confidence in a manager’s ability to outperform his benchmark increases when that performance can be attributed to a large sample of independent decisions
E(Ra) = IC * SQR (BR) * Active Risk a * TC
Approach to portfolio construction - systematic vs discretionary
Systematic strategies -
1) to be designed around the construction of portfolios to seeking to extract return premiums from a balanced exposure to known, rewarded factors;
2) typically incorporate research-based rules across a broad universe of securities;
3) it seeks to reduce exposure to idiosyncratic risk and often use broadly diversified portfolios to achieve the desired factor exposure while minimizing securities specific riks;
4) also typically more adaptable to a formal portfolio optimization process
Discretionary strategies -
1) search for active returns by building a great depth of understanding of a firm’s governance, business model, and competitive landscape, through the development of better factor proxies
2) integrated the judgement of the manager, on a smaller subset of securities
3) generally more concentrated portfolio, reflecting the depth of the manager’s insights on company characteristics and the competitive landscape
4) use a less formal approach to portfolio construction, building a portfolio of securities deemed attractive
Active Share
- Active Share - measures the extent to which the number and sizing positions in a manager’s portfolio differ from the benchmark
- Active share = 1/2 sum of 1 to n (weight portfolio - weight benchmark)
- Active share calculation involves no statistical analysis or estimation, there are only two sources of active share: 1) including securities in the portfolio that are not in the benchmark; 2) holding securities in the portfolio that are in the benchmark but at weights different than the benchmark weights
- if two portfolios are managed against the same benchmark, the portfolio with fewer securities will have a higher level of active share than the highly diversified portfolio. A portfolio manager has complete control over his active share because he determines the weights of the securities in his portfolio
Active Risk
- Like active share, active risk depends on the differences between the security weights in the portfolio and the security weights in the benchmark
- there are two different measures of active risk: 1) one is realized active risk, which is the actual historical standard deviation between the portfolio return and the benchmark return
- the variance-covariance matrix of returns is very important in the calculation of active risk. Active risk is affected by the degree of cross-correlation but the active share is not. Active share is not concerned with the efficiency of diversification.
Relationship between active risk, active share, and factor exposure for an unconstrained investor, assuming a single factor model, they found (Sapra and Hujan 2013)
- high net exposure to a risk factor will lead to a high level of active risk, irrespective of the level of idiosyncratic risk
- if the factor exposure if fully neutralized, the active risk will be entirely attributed to active share
- the active risk attributed to active share will be smaller if the number of securities is large and or average idiosyncratic risk is small, and
- the level of active risk will rise with an increase in factor and idiosyncratic volatility
Top-down and bottom-up portfolio management approach and how they relate to two of the building blocks: rewarded factors and alpha
Factor exposure:
- bottom-up managers look at characteristics of securities to build their portfolios. the factor exposure inherent in their portfolio may be intentional, or it may be a by-product of their security selection process
- top-down managers articulate a macro view of the investment universe and build a portfolio emphasizing the macro factors that reflect those views. Although their macro views could then be translated into security views using a bottom-up approach, their performance will likely be dominated by their macro-level factor exposures
Alpha:
The alpha of bottom-up managers is most likely attributable to their security selection skills
some portion of their active returns can also be explained through exposure to rewarded factors.
Top-down manager alphas are largely derived from factor timing.
Implementation process: objectives and constraints - absolute framework and relative framework
Absolute framework
- objective: maximize Sharpe ratio
- constraints:
1) individual security weights (w) less equal to 2%
2) sector weights (S) less equal to 20%
3) portfolio volatility < 0.9 of the estimated benchmark volatility and imposes a minimum weighted average security capitalization of $20bn
Relative framework
- objective: maximize information ratio
- constraints:
1) individual security: a security must remain within +-2% of index weight |Wp-Wb|<=2%
2) sector weight must remain within +-10% of the index weights |Sp-Sb|<=10%
3) relative approach imposes a 5% active risk limit and same capitalization constraint
Risk Measure - Volatility
the standard deviation of portfolio returns
Risk measure - active risk
the standard deviation of the differences between a portfolio’s return and its benchmark’s return. also called tracking error or tracking risk
Risk measure - skewness
a measure of the degree to which return expectations are non-normally distributed.