The statistic functions view organizes Linear Regression Intercept function and supporting indicators around Horizon US. The analysis highlights statistical functions describing dispersion and variability and frames technical signals with volatility and risk context.Select Time Period to execute this module.
The output start index for this execution was thirty-five with a total number of output elements of twenty-six. The Linear Regression Intercept is the expected mean value of Horizon Defensive Equity price seriese where values of its benchmark or peer price series are zero.
Horizon US Technical Analysis Modules
Most technical analysis of Horizon US help investors determine whether a current trend will continue and, if not, when it will shift. We provide a combination of tools to recognize potential entry and exit points for Horizon from various momentum indicators to cycle indicators. When you analyze Horizon charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.
Expense ratio and turnover can affect long-run net returns and tracking against objectives. The current allocation is approximately 97.0% equities and 3.0% cash. It is classified under Large Blend within the Horizon Investments family.
Methodology
Unless otherwise specified, data for Horizon Defensive Equity is derived from fund disclosures (prospectus language, holdings reports, and periodic statements where available). Asset-level metrics are computed daily by Macroaxis LLC and refreshed regularly based on instrument type. Horizon Defensive Equity market data and reported NAV may reflect delayed updates. Data may be delayed depending on reporting sources and market conventions. Assumptions: We use public fund disclosures, holdings reports, and market data feeds with disclosures published by U.S. Securities and Exchange Commission (SEC) via EDGAR as reference inputs. Data may be normalized and can be delayed. All analytics are generated using standardized, rules-based models designed to promote consistency and comparability across instruments. Model assumptions, reference parameters, and selected computational inputs are available in the Model Inputs section. If you have questions about our data sources or methodology, please contact Macroaxis Support.
Research Sources
Horizon Defensive Equity may have reference inputs that incorporate holdings disclosures, category classification, and NAV-derived statistics where available. Updates may occur throughout the day.
Tracking Horizon US inside a portfolio is useful because individual winners can still weaken diversification or distort overall risk targets. A disciplined tracking process turns performance data into better decisions instead of more noise.
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Pair trading with Horizon US can help investors hedge some company-specific exposure by balancing a long view with an offsetting position. The key question is whether the second leg adds real hedge value instead of just creating a more complex version of the same risk.
Horizon US Pair Trading
Horizon Defensive Equity Pair Trading Analysis
The information in the correlation table below can inform Horizon US tax-loss harvesting decisions, showing which instruments historically move in lockstep with Horizon Defensive Equity and can serve as viable temporary replacements.
Negative correlation assets provide natural hedges against Horizon US positions. When Horizon Defensive Equity's value declines, a negatively correlated instrument tends to rise, partially offsetting portfolio losses.
Pair evaluation and Correlation analysis for Horizon US provide hedging context. This approach is commonly reviewed within sectors and across broader groups.