This heatmap maps a manager’s optimal performance phase across the economic cycle — Recovery, Mid-Cycle, Late-Cycle, and Recession — by linking their investment style to the phases where it has historically performed best. The green dot marks the manager’s current best-fit phase, while the orange curve traces the projected path […]
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
Aapryl Portfolio Analysis & Optimization Module Product Description & User Guide Overview Building an optimized portfolio of investment managers has traditionally relied on mean-variance optimization — a framework that uses historical returns and standard deviation to map the tradeoff between risk and reward. While this approach is mathematically rigorous, […]
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
Aapryl Style Analysis Module Product Description & Analytical Reference Guide Overview Style Analysis is the analytical foundation of Aapryl. It is the engine that powers the platform’s core capabilities — from skill measurement and return simulation to economic cycle positioning and factor screening. Understanding how Aapryl uses Style Analysis […]
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
Aapryl Skill Analysis Module Product Description & Analytical Reference Guide Overview Aapryl’s Skill Analysis module provides a comprehensive framework for evaluating the true sources of a manager’s performance. Rather than relying solely on raw returns versus a broad market index, Aapryl isolates genuine skill by comparing each manager’s results […]
Skill Screening
Aapryl Skill Screening Module Product Description & User Guide Overview Aapryl’s Skill Screening module is designed to streamline the process of identifying top investment managers. By combining proprietary skill-based analytics with flexible multi-dimensional filtering, the module enables investment professionals to efficiently narrow large manager universes down to high-probability outperformers. […]
Return Simulator
Aapryl Return Simulator Module Product Description & User Guide Overview A common challenge in manager evaluation is that newer managers lack the performance history required to be assessed on equal footing with established peers. A manager with only two or three years of actual returns cannot be meaningfully compared […]