This chart is an adaptation of a traditional style box that shows the results of Aapryl’s style analysis through the 2 dimensional lens of our clusters. The horizontal (x) axis measures value to growth; while the vertical (y) axis measures the quality of the manager. The circles show the result […]
Cyclical Manager Positioning
Aapryl has designed a framework which shows the market environment in which a manager or group of managers are expected to perform the best. Tooltips Cyclical Manager Positioning : This chart reflects the location within Aapryl’s proprietary Market Cycle Chart for which a manager would plot, representing when, throughout the […]
Custom Universe & Universe Builder
One of the key values of Aapryl, is the ability for users to create more precise, custom peer groups for managers, by using various measures. Users can manually select any number of managers for a custom universe, simply by searching for them by name or ticker: Additionally, users can attempt […]
Portfolio Analysis
Overview The Portfolio Analysis module provides users the ability to build optimized portfolios of multiple managers targeting our predictive manager skill metric while controlling for a wide variety of portfolio risks and exposures. The Portfolio Analysis module provides an efficient way to maximize our forward looking measure of manager skill […]
Portfolio Crowding (Beta)
Overview Crowded trades occur when many large market participants pursue the same investment strategies causing overlapping portfolio positions. Portfolio Crowding can be especially risky when negative shocks result in forced liquidations. These “fire sales” may then cause losses for other investors following the same strategy and result in further liquidations, […]
Style Analysis
Overview Why is it important to break out the performance derived from factor selection from stock selection? If a database is screened for large value or large growth, aren’t the managers within each styles category similar? Even within the archetypal style groups such as growth and value, different factor weightings […]
Aapryl Ratings
Overview Using Aapryl Ratings, investors will have the ability to report their overall evaluation of a manager through the Investor Network Rating option, which provides investors a collective assessment of a manager’s skill or lack of. Combining quantitative analysis from Aapryl with qualitative investor feedback, this module provides a fully […]
Clustering
Overview A challenge that many investors face is the ability to fairly and accurately compare manager products. The existing peer universes available through 3rd party databases tend to lump too many unlike managers in to one large peer group. As a result, decisions are often un-informed. Assembling manager peer groups […]
Skill Analysis
Overview Luck is often mistaken as skill. When screening securities to evaluate and include in a manager’s portfolio, their belief system typically forms their investment approach. As a result, such structural biases are rewarded and penalized by the market depending on where the market cycle is. Because of this, there […]
Skill Screening
Overview With over 25,000 investment managers registered in various databases, investors and/or allocators face a surfeit of investment manager choices. However, even with a plethora of manager data, the old pattern of hiring investment managers that appear to be at the top of their game only to revert to average, […]