This chart maps a fixed income manager’s positioning across four monetary and credit cycle phases, defined by two axes: Duration Risk (higher on the left, lower on the right) and Spread Risk (higher at the top, lower at the bottom). Each quadrant represents a distinct macro regime — Easy & Easing, Easy But Tightening, Tight & Easing, and Tight & Tightening — reflecting the combination of financial conditions and Fed policy in effect. The green dot marks the manager’s current positioning, while the red diamond marks the Bloomberg Barclays Aggregate Index, serving as the neutral benchmark reference point.

Chart Elements

• Four quadrants: The circle is divided into four phases — Easy & Easing (upper left), Easy But Tightening (upper right), Tight & Easing (lower left), and Tight & Tightening (lower right) — each representing a distinct combination of financial conditions and monetary policy direction.
• Duration Risk axis: The horizontal axis measures Duration Risk, with higher duration exposure on the left and lower on the right. A manager positioned to the left carries more interest rate sensitivity than the benchmark; one on the right carries less.
• Spread Risk axis: The vertical axis measures Spread Risk, with higher credit spread exposure at the top and lower at the bottom. Positioning above center reflects a greater tilt toward credit-sensitive sectors relative to the benchmark.
• Phase descriptions: Each quadrant is annotated with the macro conditions that define that phase — covering financial conditions, the direction of the Fed Funds rate, corporate profit trends, credit spread behavior, and yield curve shape — providing the fundamental rationale for why certain strategies perform well in that environment.
• Green dot (Manager Product): The green dot identifies where the manager’s current risk profile — relative levels of duration and spread exposure — places them within the cycle framework, indicating which phase their strategy is best suited for.
• Red diamond (Benchmark): The red diamond marks the Bloomberg Barclays Aggregate Index at the center of the chart, representing a neutral, benchmark-level posture with respect to both duration and spread risk. The manager’s green dot position should always be interpreted relative to this anchor.

How It Works

Aapryl derives each manager’s position by measuring their duration and spread risk exposures relative to the Bloomberg Barclays Aggregate benchmark. Those exposures are then mapped to the quadrant whose macro characteristics — Fed policy direction, financial conditions, credit spread dynamics, and yield curve shape — best match the environment in which that risk profile has historically outperformed the Core Bond Index. The green dot’s distance from the red diamond reflects the magnitude of the manager’s active risk tilt, while its quadrant reveals the macro regime where that tilt is most rewarded.

Key Insights to Spot

A green dot in the Easy But Tightening quadrant (upper right) — as shown in the example — signals that the manager carries higher spread risk but lower duration risk than the benchmark, a profile suited to environments where financial conditions remain accommodative but the Fed has begun raising rates. A green dot far from the red diamond indicates a high-conviction active tilt, while one clustered near the center suggests benchmark-hugging behavior. A mismatch between the manager’s quadrant and the current macro regime flags potential headwinds, while alignment between the two supports a favorable tactical outlook. Comparing multiple managers’ positions on the same chart reveals how diversified or concentrated a fixed income portfolio is across macro regimes.

Actionable Uses

Use this chart alongside current monetary policy signals to assess whether a manager’s duration and spread posture aligns with the prevailing cycle phase. In portfolio construction, map managers across all four quadrants to ensure macro diversification and avoid inadvertent concentration in a single rate or credit environment. In due diligence, use the chart to probe whether a manager’s active tilts are intentional and cycle-aware, or a byproduct of style drift. The benchmark anchor makes it straightforward to assess the true active risk being taken on relative to the Core Bond Index.

Chart Elements

• The center pie shows manager product factor breakdown by percentage (e.g., 49% Defensive green, 34% Value blue, 13% Low Volatility light blue, 4% Quality pink).
• The legend identifies factors: Defensive (green), Low Volatility (light blue), Quality (pink), Value (blue).
• The Static (full history) toggle (selected) uses inception-period average exposures.
• The Dynamic (most recent 36 months) toggle enables rolling window view.
• Distinct toggle aggregates similar factors.
• Factor toggle (selected) shows granular split.
• Cap Size and Region toggles enable size/geography breakdowns.
• Data as-of notes recency (e.g., 12/2025).

How It Works

Aapryl constructs static clones from full-history factor loadings and dynamic clones from recent 36 months. Available factors (depending on fund): Value (low P/E, P/B), Core (neither value/growth), Growth (high growth rates, P/E, P/B), Defensive (stability via low earnings variability, high ROA, low leverage), Economic Sensitivity (cyclical exposure), Momentum (high price momentum), Quality (high ROA, low leverage, earnings stability), Yield (high dividend yields), Low Volatility (lowest std. dev. or beta). Distinct combines overlaps; Factor separates.

Key Insights to Spot

Largest slice reveals primary tilt (e.g., 49% Defensive). Static vs. dynamic gap shows style evolution. Low Volatility + Quality combo signals downside protection. Value dominance vs. Growth absence flags contrarian approach. Factor availability varies by fund universe.

Actionable Uses

Match manager factors to benchmark for style consistency. Screen for mandate-aligned tilts. Probe “Your Defensive tilt vs. benchmark Growth?” in DD. Track dynamic shifts for style drift. Compare vs. peers for relative positioning.

Chart Elements

• X-axis: Factors (e.g., Growth, Economic Sensitivity, Low Volatility, Defensive, Quality, Value).
• Y-axis: Peer percentile ranking (0-100%).
• Stacked bars: Peer distribution (bottom 0-25th light, 25-50th, 50-75th dark, 75-100th top).
• Blue diamonds: Manager exposure (e.g., GQG Partners Global Equity).
• Gray dots: MSCI World benchmark.
• Legend: 0-25th (bottom), 25-50th, 50-75th, 75-100th (highest).
• Toggles: Static vs. Dynamic.

How It Works

Exposures from factor clones (static/dynamic) ranked vs. peer universe. Bars show distribution; manager diamond position indicates out/under-weight (top = overweight vs. peers). Applies to all 9 factors: Value, Core, Growth, Defensive, Economic Sensitivity, Momentum, Quality, Yield, Low Volatility (availability fund-dependent).

Key Insights to Spot

Diamond in top quartile signals overweight (e.g., Quality). Mid-stack = peer average. Benchmark dot divergence shows universe fit. Consistent top/bottom across factors reveals signature tilts. Low Volatility low rank flags riskier bets.

Actionable Uses

Benchmark relative tilts for universe fit. Screen top-quartile aligned factors. Probe “Overweight Defensive vs. peers?” in DD. Toggle Dynamic for recent shifts. Diversify underweights across managers.

Chart Elements

• The center pie shows benchmark factor breakdown by percentage (e.g., 46% Value blue, 25% Economic Sensitivity gray, 25% Growth yellow, 19% Quality green).
• The X-axis labels identify factors: Economic Sensitivity (gray), Growth (yellow), Quality (green), Value (blue).
• The toggle buttons allow Static (full history) vs. Dynamic (most recent 36 months) clone calculation.
• The radio buttons switch between Distinct and Factor decomposition modes.
• Cap Size and Region toggles enable additional breakdowns.
• Benchmark selector shows current selection with period dropdown (e.g., most recent 36 months).
• Data as-of notes recency (e.g., 12/2025).

How It Works

Aapryl builds static clones from inception-period factor loadings and dynamic clones from rolling 36-month windows. Available factors (depending on benchmark): Value (low P/E, P/B), Core (neither value/growth), Growth (high growth rates, P/E, P/B), Defensive (stability via low earnings variability, high ROA, low leverage), Economic Sensitivity (cyclical based on earnings variability, ROA, leverage), Momentum (high price momentum), Quality (high ROA, low leverage, earnings stability), Yield (high dividend yields), Low Volatility (lowest std. dev. or beta). Distinct aggregates similar factors; Factor shows granular split.

Key Insights to Spot

Dominant slice reveals primary tilt (e.g., 46% Value). Dynamic vs. static divergence signals evolving exposures. High Quality or Low Volatility % explains defensive behavior. Economic Sensitivity dominance flags cyclical bets. Factor availability varies by benchmark universe.

Actionable Uses

Match manager clones to benchmark factors for style fit. Screen benchmarks aligning with portfolio mandate. Probe factor mismatches in DD meetings. Monitor dynamic shifts for regime changes. Compare across universes for allocation decisions.

This Aapryl style box tracks the manager’s style evolution from Oct 2014-12/2025. X-axis classifies from Value (left) to Growth (right); Y-axis from Cyclical/Aggressive (bottom) to Defensive (top). Larger/darker circles indicate more recent periods, revealing drifts.

Chart Elements

• X-axis labels: Low Value (left), High Value, Relative Value, GARP, Aggressive Growth, High Growth (right).
• Y-axis labels: Low Quality (bottom), Relative Quality, High Quality Blend (top).
• Blue circles: Manager positions (e.g., GQG Partners LLC – GQG Partners Global Equity); size grows with recency.
• Yellow square/region: Aapryl peer group (High Quality Blend).
• Red circles: MSCI World peer benchmark positions.
• Toggle: Static (full history, selected) vs. Dynamic.
• Period range: Oct 2014-12/2025.
• Legend: Manager (blue), MSCI World peer (red), Aapryl peer group (yellow).

How It Works

Aapryl positions managers via factor clone exposures (static full history or dynamic). X-axis interpolates Value (low P/B, P/E) to Growth (high growth); Y-axis Cyclical (Economic Sensitivity) to Defensive (stability). Segregated boxes classify (9 styles: Low Value/Low Quality to High Growth/High Quality). Circle size scales with time proximity (largest = most recent), plotting trajectory across track record.

Key Insights to Spot

Stable clustering in High Quality Blend signals consistent style. Rightward drift shows growth tilt evolution. Size progression reveals recent positioning (e.g., large blue in GARP/High Quality). Peer comparison: Manager vs. MSCI (red) or Aapryl group (yellow). Box outliers flag aggressive bets.

Actionable Uses

Validate stated style vs. trajectory. Spot drifts for process questions. Compare to peers/benchmarks for fit. Screen stable High Quality managers. Monitor recent large circles for current alignment.

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 of the economic regime.

Chart Elements

• Top row labels: The four columns represent the four economic cycle phases — Recovery (green), Mid-Cycle (yellow), Late-Cycle (orange), and Recession (red) — providing the temporal framework for evaluating style fit.
• Style labels: Running horizontally, style labels range from Cyclical/Low Quality Value to High Quality/Stable Growth Defensive, capturing where each manager sits along the quality and cyclicality spectrum.
• Heatmap cells: Each cell is color-coded to reflect the macro traits associated with a given style-cycle combination, such as employment dynamics, credit conditions, and policy posture, making it easy to see where conditions favor a particular style.
• Orange curve: The orange curve traces the current and projected path of the economic regime, showing which style characteristics are likely to come into and out of favor over time.
• Green dot: The green dot marks the manager’s single best-fit cycle phase — the intersection of their style and the environment where their approach has historically been most effective.
• Nine plot points: Nine points reflect the manager’s implied style positions from Aapryl’s 3×3 Value/Quality grid, illustrating how their style has expressed itself across different periods.
• Chart title: Each chart is labeled with the specific manager and strategy under review, tying cycle positioning directly to the investment mandate being analyzed.

How It Works

Aapryl derives each manager’s style from factor exposures, mapping it to one of nine positions on a 3×3 grid spanning Value-to-Growth and Cyclical-to-Defensive. Each style position is then linked to the cycle phases where it has historically thrived — Recovery environments favor Cyclical/Value strategies, while Late-Cycle environments reward High Quality/Defensive approaches. The green dot identifies the manager’s optimal phase, the nine plotted points show how their style has evolved, and the orange curve projects the regime’s expected trajectory — together delivering a forward-looking view of macro alignment.

Key Insights to Spot

A green dot in a Late or High Quality phase signals strength during expansion peaks, while a curve bending toward Recession raises questions about defensive resilience. A green dot in Cyclical/Recovery territory when the curve points toward Late-Cycle or Recession flags a potential style mismatch. Dispersion in the nine plotted points reveals style drift, while tight clustering signals consistency. Cross-referencing the green dot’s position with the orange curve’s current location quickly validates whether the manager’s natural habitat aligns with today’s macro environment — or where it is headed.

Actionable Uses

Pair with Aapryl’s regime analysis to make cycle-aware allocation decisions — overweighting Recovery-oriented managers in early-cycle environments and rotating toward Quality/Defensive names as the curve moves later. Use the heatmap to diversify manager lineups across phases, avoiding inadvertent concentration in a single macro environment. In due diligence, the chart supports more precise questions about style consistency and recession resilience. Viewing multiple managers side-by-side quickly reveals gaps in cycle coverage before they become performance issues.

Chart Elements

• Y-axis: Exposure % (0-100%).
• X-axis: Quarterly time series (2014Q4 to 2025).
• Lines (color-coded per legend): Defensive, Quality, Core, Value, Growth, Low Volatility, Economic Sensitivity (colors vary by factors shown).
• Toggle buttons: Static (full history, selected) vs. Dynamic (recent 36 months); Distinct vs. Factor (selected); Cap Size; Region.

How It Works

Aapryl calculates style betas as % portfolio allocation to factors via static (full-history average) or dynamic (rolling 36 months) clones. Available factors (fund-dependent): Value (low P/E, P/B), Core (neutral), Growth (high growth), Defensive (stability), Economic Sensitivity (cyclical), Momentum, Quality (high ROA), Yield, Low Volatility (low beta). Lines plot evolution; toggles refine (e.g., Factor granularizes).

Key Insights to Spot

Rising Defensive line signals stability shift. Value troughs with Growth peaks show rotation. Spikes above 75% flag conviction. Recent trends (right side) vs. history reveal drift. Core stability indicates blend approach.

Actionable Uses

Track style consistency over cycles. Spot rotations for process questions. Compare recent vs. inception for drift. Toggle Dynamic for short-term view. Pair with pie for snapshot confirmation.

Aapryl identifies market regimes—such as Rising Trends, Falling Trends, or No Trend periods—based on relevant market indicators. Performance statistics are then calculated separately within each environment.

By evaluating performance within each regime, users can see when a strategy tends to add value, when it struggles, and how it behaves across market cycles.

Users can also dynamically compare the actual manager, the manager’s clone, and a selected benchmark, enabling deeper analysis of performance drivers.

Chart Elements

Market Trend Line Chart

• Black Line (Market Indicator)
  The selected market indicator used to determine the market trend environment.
  Examples may include credit spreads, volatility measures, or other macro indicators depending on asset class.
• Green Background – Rising Trend
  Periods where the indicator signals improving or favorable market conditions.
• Red Background – Falling Trend
  Periods where market conditions are deteriorating or becoming more challenging.
• Neutral/White – No Trend
  Periods where the indicator does not show a clear directional trend.
• X-Axis
  Time periods across the manager’s track record.
• Y-Axis
  Value of the selected market indicator.

These colored regimes divide history into distinct environments so users can evaluate how strategies behave during different phases of the market cycle.

Market Trend Performance Table

The performance table summarizes results across each identified regime.

Columns include:

• Total – Performance across the full time period
• Rising Trend – Performance during improving market conditions
• Falling Trend – Performance during declining environments
• No Trend – Performance during neutral or mixed conditions

Rows show performance statistics for:

• Selected Strategy (Manager or Clone)
• Selected Benchmark
• Peer Group Median

Interactive Controls

The chart allows users to customize the analysis to match their research workflow.

Strategy Selection

Users can choose to analyze:

• Manager (Actual Fund) – The real performance of the strategy
• Manager Clone – A style-adjusted benchmark designed to replicate the manager’s systematic exposures

This allows investors to compare how the manager performs relative to what their style alone would have delivered.

Benchmark Selection

Users can also select their own benchmark for comparison.

This flexibility allows investors to:

• compare performance against traditional market indices
• test different benchmarks relevant to their investment process
• evaluate performance against internal or custom benchmarks.

Key Metrics Explained

• Annualized Return
  Average annual return generated during the specified market environment.
• Standard Deviation (Annualized)
  Measures return volatility within that environment.
• Sharpe Ratio
  Risk-adjusted performance showing how efficiently the strategy converts risk into return.
• Period Count (Months)
  Number of months included in each trend regime.
• Upside Capture
  Percentage of benchmark gains captured during rising markets.
• Downside Capture
  Percentage of benchmark losses experienced during declining markets.
• Information Ratio
  Risk-adjusted excess return relative to the selected benchmark.
• Tracking Error
  Degree of deviation between strategy returns and the benchmark.

Market Trend Methodology

Aapryl uses objective trend detection models to identify different market regimes.

The specific indicator used varies by asset class.

Fixed Income Strategies

Trend models may incorporate indicators such as:

• Credit spreads
• Yield curve behavior
• Credit market conditions

Equity Strategies

Trend regimes may use indicators related to:

• Market momentum
• Volatility conditions
• Equity market risk cycles

Each time period is classified as Rising, Falling, or No Trend, and performance metrics are calculated within each environment.

This framework helps investors evaluate how strategies behave under different market conditions rather than relying on a single aggregate performance number.

Key Insights to Spot

• Environment Sensitivity
  Compare performance across regimes to identify when the strategy performs best.
• Defensive Characteristics
  Lower downside capture during Falling markets may indicate strong risk management.
• Skill vs Style
  Comparing the manager to the clone helps determine whether results come from active decisions or underlying style exposure.
• Benchmark Context
  Using different benchmarks helps determine whether performance reflects true alpha or market exposure.

Actionable Uses

• Manager Selection
  Identify managers that perform well in the market environments you expect.
• Portfolio Construction
  Combine strategies that perform well in different regimes to improve diversification.
• Risk Management
  Understand how strategies behave during market stress.
• Performance Attribution
  Distinguish between returns driven by market conditions and those driven by manager decisions.