GITNUXSOFTWARE REVIEW
Business FinanceTop 10 Best Hedge Fund Risk Management Software of 2026
Compare hedge fund risk management software options like BlackRock Aladdin and Murex MX.3 for risk teams evaluating tools and feature tradeoffs.
How we ranked these tools
Vendors set the topic, but our editors set the inclusion criteria and the evaluation framework before research starts.
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Framework: Features 40% · Ease 30% · Value 30%
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BlackRock Aladdin is the best pick for multi-portfolio hedge funds that need governance-grade limit monitoring and reporting because its workflow links aggregated risk outputs to escalation paths and control packs, while FundCount is a strong fit for teams that want repeatable run orchestration with limit checks aligned to valuation updates.
Editor’s top 3 picks
Three quick recommendations before you dive into the full comparison below — each one leads on a different dimension.
BlackRock Aladdin
Control workflow for limit monitoring that connects aggregated risk outputs to escalation paths and reporting packs.
Best for: Fits when multi-portfolio hedge funds need integrated risk workflows, recurring controls, and governance-grade reporting.
Murex MX.3
Editor pickMX.3’s workflow-driven risk calculation pipeline ties risk outputs to trade lifecycle events and valuation inputs with controlled exception paths.
Best for: Fits when a hedge fund needs trading-to-risk traceability, automated scenario runs, and strict operational controls across teams.
FundCount
Editor pickConfiguration of run orchestration and limit checks as part of each risk cycle, not as separate downstream steps.
Best for: Fits when a hedge fund needs repeatable stress runs and limit governance tied to valuation updates.
Comparison Table
BlackRock Aladdin
enterpriseInstitutional investment and risk management platform used by large hedge funds and asset managers.
Control workflow for limit monitoring that connects aggregated risk outputs to escalation paths and reporting packs.
BlackRock Aladdin supports end-to-end hedge fund risk workflows that combine market data ingestion, instrument and position mapping, and aggregation across legal entities, desks, and strategies. Scenario analysis and stress testing are handled in a structured workflow that aligns model outputs to reporting and escalation paths. The product’s integration depth tends to matter most when portfolio systems already run in-house and require consistent reconciliation and reference data alignment. This tool is typically evaluated alongside alternatives when firms need wide coverage across asset types with controlled change management rather than point analytics.
A key tradeoff is implementation effort, since accurate instrument mapping, hierarchy design, and control configuration depend on disciplined onboarding. Aladdin fits best when a hedge fund needs recurring limit monitoring and scenario packs with auditable operational controls for multiple portfolios. It is a weaker fit when the requirement is a lightweight, single-model risk dashboard without deep integration into trading and data pipelines.
- +Strong integration across portfolio hierarchy and risk aggregation workflows
- +Structured scenario and stress testing workflow tied to operational reporting
- +OTC valuation support that improves consistency of exposure measurement
- +Automation controls for recurring limit monitoring and output governance
- –Instrument mapping and hierarchy setup require significant onboarding discipline
- –Deep customization can increase time-to-change for model and control updates
- –Some workflows may depend on additional data and integration components
- –User experience can feel complex for analysts focused on single-metric views
Risk operations teams
Run monthly limit checks and reporting
Faster approval cycles
Portfolio managers
Analyze scenario impacts on exposures
Clearer risk decisioning
Show 2 more scenarios
Quant model developers
Support model outputs with governance
Lower operational model risk
Manages model changes and operational controls around risk calculations for downstream consumption.
Data integration teams
Reconcile positions with market data
Fewer reconciliation exceptions
Connects portfolio and OTC valuation inputs to ensure consistent exposure computation.
Best for: Fits when multi-portfolio hedge funds need integrated risk workflows, recurring controls, and governance-grade reporting.
Murex MX.3
enterpriseCapital markets software supporting valuation, market risk, counterparty risk, and regulatory analytics.
MX.3’s workflow-driven risk calculation pipeline ties risk outputs to trade lifecycle events and valuation inputs with controlled exception paths.
Murex MX.3 is a hedge fund risk management suite built around end-to-end trade lifecycle workflows, not only portfolio analytics.
Core capabilities include market and counterparty risk measurement, scenario analysis for stress testing, and valuations derived from trading-linked data.
Its main differentiation comes from Murex-native integration depth across market data, reference data, and trade processing outputs that feed risk results.
Automation is driven through configurable workflows and system interfaces that support high-throughput batch runs and controlled exception handling.
- +Tight linkage between trading workflows and risk result generation
- +Scenario analysis design supports complex risk narratives across portfolios
- +Strong operational controls for exception handling during risk runs
- +Automation supports high-throughput batch processing for risk calculations
- –Governance workload increases with extensive configuration and workflow customization
- –Integration projects can require significant mapping between trading and risk identifiers
- –Release cycles can be operationally heavy when multiple modules change together
- –Specialized reporting formats can take time to operationalize for each reporting regime
Best for: Fits when a hedge fund needs trading-to-risk traceability, automated scenario runs, and strict operational controls across teams.
FundCount
vertical specialistFund accounting and investment operations software with portfolio analytics and consolidated reporting.
Configuration of run orchestration and limit checks as part of each risk cycle, not as separate downstream steps.
FundCount is a hedge fund risk management solution that focuses on operational controls around positions, valuation, and limit tracking. It is built to connect portfolio data into a repeatable risk workflow with scenario analysis and reporting outputs for internal review.
Teams use it to standardize stress testing runs and reconcile risk outputs against portfolio and accounting changes. The result is tighter day-to-day governance for risk processes that depend on consistent inputs and auditable run history.
- +Workflow-driven risk runs reduce variation across re-calculation cycles
- +Limit monitoring can be aligned to portfolio and valuation update cadence
- +Scenario packs support repeatable stress testing for recurring committees
- +Built-in reporting outputs match common fund risk meeting formats
- –Deep model customization is limited compared with broker-grade risk engines
- –Scenario library management needs more operational discipline to stay current
- –Integration breadth beyond portfolio and valuation feeds can be narrow
- –Large-scale throughput may require careful batch scheduling
Best for: Fits when a hedge fund needs repeatable stress runs and limit governance tied to valuation updates.
Dynamo Software
vertical specialistAlternative investment management software with portfolio monitoring, analytics, and investor operations.
Configurable risk check workflows tie scenario outputs to operational limit monitoring and exceptions handling.
Dynamo Software supports hedge fund risk management workflows that combine scenario design, portfolio risk calculation, and control monitoring in one operational loop. The system centers on configurable risk checks tied to positions, trades, and valuation inputs so teams can run stress testing and reconciliation as repeatable jobs.
- +Configurable risk checks link positions, trades, and control thresholds
- +Repeatable scenario jobs reduce operator variance during stress runs
- +Integration surface supports input and output exchange for risk workflows
- +Role-based access supports separation between model build and risk review
- –Governance over scenario and limit changes requires process discipline
- –Advanced quant reporting needs careful mapping of inputs to risk calculations
- –Complex portfolio hierarchies can increase configuration and validation effort
- –Extensibility depends on the available integration points for each workflow
Best for: Fits when hedge funds need automated stress testing runs plus controlled risk checks with RBAC for configuration owners.
Allvue
vertical specialistAlternative investment software with portfolio monitoring, risk analysis, compliance, and reporting.
Approval-linked risk run governance that keeps exception handling and downstream publishing aligned to each calculation output.
Allvue automates hedge fund risk operations by coordinating portfolio data intake, risk calculation workflows, and reporting outputs. The solution is distinct for its control-oriented approach to risk governance, including preconfigured calculation runs, exception workflows, and document-linked approvals tied to risk results. Allvue’s integration depth centers on connecting portfolio and market data sources to standardized risk outputs and publishing them to downstream stakeholders with traceability.
- +Workflow orchestration ties risk outputs to approval and exception handling
- +Integration pipelines connect portfolio data and market data into repeatable runs
- +Audit-ready traceability links each risk run to inputs and decision steps
- +Governance controls support role-based review and signoff patterns
- –Automation depends on correct upstream data mappings and run configuration
- –Advanced risk modeling coverage may require additional configuration
- –Exception handling setup adds overhead for teams with frequent ad hoc asks
- –Scaling parallel scenario runs can demand careful job scheduling design
Best for: Fits when hedge funds need controlled risk workflows with strong approvals and traceability across recurring reporting cycles.
Calypso
enterpriseCapital markets technology for trading, valuation, market risk, collateral, and regulatory processing.
Calypso’s workflow automation for repeatable risk scenario execution with built-in validation gates reduces manual rerun effort across funds.
Calypso drives hedge fund risk workflows from instrument ingestion through portfolio risk runs and operational reconciliation. Its tooling concentrates on risk calculations, scenario management, and settlement and position controls that support recurring governance cycles.
- +End-to-end workflow for risk runs, reconciliation checks, and controls execution
- +Scenario execution automation supports repeatable runs across desks and funds
- +Strong governance artifacts for approvals and audit trails during risk operations
- +Extensibility for linking external data sources into risk calculations
- –Implementation needs careful configuration of instruments and data mappings
- –Advanced workflows require specialized admin knowledge for effective operations
- –Some integrations depend on external feeds being normalized into expected structures
- –Change control across scenarios can slow iterations without disciplined release processes
Best for: Fits when hedge fund risk teams need automated, governed workflows that connect external pricing and run scenarios consistently.
Arcesium
enterpriseInvestment technology covering portfolio management, risk, data operations, and middle-office controls.
Run orchestration with audit-ready execution trace links each risk output to its configuration and source inputs.
Arcesium is distinct in how it applies workflow automation and operational controls to hedge fund risk and oversight tasks that span trade capture, positions, and valuation checks. It integrates risk computation, scenario analysis, and controls execution into repeatable processes that track what ran, when it ran, and which inputs drove results. The tool emphasizes configuration-driven automation with an API surface for connecting internal systems and external market data pipelines.
- +Configuration-driven automation for risk workflows across trade, positions, and valuation steps
- +Clear execution trace that ties outputs to inputs and run history for operational accountability
- +Extensibility via API for integrating risk engines, reference data, and downstream systems
- +Governance controls for distributing responsibilities across risk, ops, and portfolio teams
- –Setup workload is high when mapping complex portfolios to required risk inputs
- –Advanced scenario libraries depend on data completeness for OTC and structured positions
- –Some workflows require careful tuning to keep throughput acceptable during peak batch windows
- –Authorization boundaries can be granular but may need governance discipline to stay consistent
Best for: Fits when hedge funds need automated risk controls with run-level traceability across multiple data sources and teams.
FactSet Portfolio Analytics
enterprisePortfolio analytics, risk modeling, and performance attribution for investment professionals.
Factor exposure decomposition and risk explanation stay synchronized with FactSet portfolio holdings across reporting cycles.
FactSet Portfolio Analytics is strongest when hedge fund risk teams already standardize on FactSet market data and holdings conventions. The tool’s analytics workflows connect reference attributes, portfolio holdings, and risk computations into repeatable reporting cycles for daily monitoring and committee packs. Factor exposure decomposition and P&L attribution views can be kept consistent across risk and performance review using the same underlying portfolio definition.
- +Consistent risk and attribution views from shared portfolio definitions
- +Strong integration with FactSet market data and research workflows
- +Scenario and stress reporting fits recurring hedge fund committee processes
- +Factor exposure breakdown supports targeted position-level explanations
- –Automation depth depends on FactSet-aligned data and workflow setup
- –Limited flexibility for non-FactSet holdings conventions
- –Complex reconciliations can require specialist configuration knowledge
- –Advanced API extensibility is less direct than code-first risk engines
Hedge fund risk managers
Daily risk and committee reporting
Faster committee-ready packs
Portfolio managers
Attribution-driven risk trade reviews
Clearer hedge adjustments
Show 2 more scenarios
Quant research teams
Scenario analysis using shared data
Consistent scenario comparability
Model stress style scenarios with inputs aligned to the same reference and holdings view.
Operations and controls
Portfolio definition governance
Lower reporting discrepancies
Maintain controlled portfolio inputs so risk reporting reconciles to agreed holdings conventions.
Best for: Fits when hedge funds need repeatable risk and attribution reporting tied to FactSet-held market data.
Imagine Software
vertical specialistCloud-based risk management and trading system for hedge funds and prime brokers.
Configurable risk-control workflows that route approvals and exceptions based on computed results.
Imagine Software fits teams that need consistent execution of risk controls across many portfolios and that require auditable change management for configurations. The system supports automation of approvals and reviews tied to policy checks, which reduces manual handoffs during model runs and limit breaches triage. Risk work tends to be driven by configurable rules and workflow steps, so control coverage can expand as new instrument types and constraints are introduced.
- +Workflow automation ties approvals to risk control outcomes
- +Governance features support auditable changes to risk logic
- +Configuration-based policy checks support multi-desk operations
- +Integration focus targets upstream trade and market data pipelines
- –Initial configuration takes longer when data standards are inconsistent
- –Exception workflows can become complex across many limit dimensions
- –Breadth of risk methods depends on how scenarios and rules are modeled
- –Live operations require clear ownership of configuration and testing
Risk operations teams
Automate limit breach triage
Faster exception resolution
Quant risk teams
Standardize scenario execution
Consistent scenario results
Show 2 more scenarios
Compliance and oversight
Operationalize policy checks
Better oversight traceability
Policy-linked checks can be tracked from configuration changes to run outcomes and reports.
Engineering integration teams
Connect risk to data sources
Lower manual data handling
Upstream trade and market data integration supports repeatable inputs for automated risk runs and reporting.
Best for: Fits when governance-first hedge fund risk controls must run across many portfolios with automation.
Hazeltree
vertical specialistTreasury and liquidity software for financing, collateral, cash, and counterparty risk management.
Governed configuration for risk workflow steps, tied to audit trails for every change to models, policies, and monitoring runs.
Hazeltree positions hedge fund risk management around workflow automation for risk teams, with a configuration-led approach that reduces custom scripting needs. The core capabilities focus on portfolio-level risk execution, controls monitoring, and reporting cycles that connect across valuation, constraints, and monitoring outputs.
- +Configuration-driven risk workflows reduce per-fund bespoke development work
- +Role-based access controls and audit trails support model and policy governance
- +Automated risk-monitoring schedules reduce manual rework across reporting cycles
- +Export-ready outputs fit committee and oversight reporting workflows
- –Advanced automation needs careful upfront mapping of portfolios to risk logic
- –Scenario library coverage depends on what upstream teams standardize internally
- –OTC valuation feed normalization requires alignment with Hazeltree input formats
- –Throughput during large scenario runs can require tuning of job partitioning
Best for: Fits when risk teams need automated control monitoring and governance around risk workflows.
Conclusion
After evaluating 10 hedge fund risk management software, BlackRock Aladdin stands out as our overall top pick — it scored highest across our combined criteria of features, ease of use, and value, which is why it sits at #1 in the rankings above.
Use the comparison table and detailed reviews above to validate the fit against your own requirements before committing to a tool.
How to Choose the Right Hedge Fund Risk Management Software
Hedge fund risk management software is evaluated here across tools that connect portfolio holdings, valuation inputs, and risk results into governed workflows and repeatable reporting cycles. This coverage includes FactSet Portfolio Analytics for synchronized risk and attribution views built on shared FactSet portfolio definitions, Imagine Software for configurable approval-linked risk-control workflows, and Aladdin for escalation-ready limit monitoring tied to operational reporting packs. The list also includes Hazeltree for audit-trail governed configuration, Allvue for approval-linked risk run governance, Murex MX.3 for trade-to-risk traceability through workflow-driven calculation pipelines, and Arcesium for run-level execution trace that ties each output to its configuration and inputs.
The category differentiates most in integration depth, automation and API surface, and admin control over risk logic changes and execution history. Tools such as Kensho are referenced in the selection framing when fit depends on scenario library and quant workflows, while each remaining entry is grounded in its own workflow and governance mechanisms like workflow orchestration, run-level trace links, and role-based access controls.
Hedge Fund Risk Management Software for governed stress runs, limit checks, and traceable risk controls
Hedge fund risk management software automates risk runs, connects external pricing and portfolio inputs, and enforces exception handling tied to risk outputs so recurring controls stay consistent across portfolios. FactSet Portfolio Analytics is positioned when repeatable risk and attribution reporting must stay synchronized with FactSet-held market and portfolio definitions across reporting cycles.
Imagine Software and Hazeltree shift the comparison toward governance and change control for risk logic, where configurable workflows route approvals and exceptions based on computed results and governed configuration ties each monitoring run to auditable changes to models and policies. Across the set, the practical difference is whether risk execution is organized around approval-linked workflows, run-level traceability to source inputs, or workflow-driven pipelines that connect trading events and valuation inputs to generated risk outputs.
Integration, automation, and governance controls that keep risk execution consistent
Hedge fund risk programs fail most often at handoffs between holdings, valuation inputs, and the risk outputs published to desks and committees. Tools like FactSet Portfolio Analytics keep factor exposure decomposition synchronized with FactSet portfolio holdings across reporting cycles, which reduces drift between what was held and what was analyzed.
Repeatable portfolio-to-risk mapping for cycle-to-cycle consistency
FactSet Portfolio Analytics keeps risk and attribution reporting synchronized with FactSet-held portfolio definitions across reporting cycles. Murex MX.3 ties risk result generation to trade lifecycle events and valuation inputs so risk outputs reflect the same operational identifiers used in trading.
Approval-linked workflow orchestration with exception handling
Imagine Software connects approvals to computed risk-control outcomes so exceptions align to each calculation result. Allvue links risk run governance to approval and exception handling so downstream publishing stays consistent with each orchestration output.
Run-level execution trace tied to configuration and inputs
Arcesium provides run orchestration where execution traces connect each risk output to configuration and source inputs. Hazeltree adds governed configuration with audit trails for every change to models, policies, and monitoring runs.
Governance-grade limit monitoring tied to escalation and reporting packs
Aladdin connects aggregated risk outputs to escalation paths and reporting packs through control workflow for limit monitoring. BlackRock Aladdin also ties structured scenario and stress testing workflows to operational reporting so control actions match what was produced.
Scenario library execution that stays dependable under changing inputs
Calypso automates risk scenario execution with built-in validation gates to reduce manual rerun effort across funds. FundCount configures run orchestration and limit checks as part of each risk cycle so stress runs align to valuation update cadence.
Choose based on how risk logic changes, runs execute, and controls escalate
Risk teams should pick software based on where control logic lives and how changes propagate into future runs. Imagine Software and Hazeltree both center governance and change control, but the practical difference shows up in workflow routing versus governed configuration auditability.
Decide where the system of record for risk execution sits
If the hedge fund uses FactSet-held portfolio definitions as the canonical source for holdings and research constructs, FactSet Portfolio Analytics keeps factor exposure decomposition and risk explanation synchronized with those shared definitions across reporting cycles. If the fund treats trading lifecycle events and valuation inputs as the dominant drivers, Murex MX.3 ties risk result generation to trade lifecycle events and valuation inputs.
Select the control philosophy based on approvals or audit trails
Choose Imagine Software when computed results must drive approval and exception routing through configurable risk-control workflows. Choose Hazeltree when changes to models, policies, and monitoring runs must be governed with audit trails for every configuration step.
Match the traceability depth to the operating model for reruns
Choose Arcesium when run-level execution trace must connect each risk output to its configuration and source inputs for operational accountability. Choose Allvue when approvals and exception handling must stay tied to each calculation output so downstream publishing follows the same run results.
Map limit monitoring into escalation and reporting workflows
Choose BlackRock Aladdin when limit monitoring requires escalation-ready control workflow linked to aggregated risk outputs and reporting packs. Choose Calypso when scenario execution must include validation gates that reduce manual rerun effort and keep external pricing and run scenarios consistent.
Check how stress runs and limit checks align to valuation cadence
Choose FundCount when stress runs must be repeatable and limit governance must run as part of each risk cycle tied to valuation updates. Choose Dynamo Software when configurable risk check workflows must bind scenario outputs to operational limit monitoring and exceptions handling with RBAC for configuration owners.
Who should buy Hedge Fund Risk Management Software like these
The right buyer is a hedge fund where risk output ownership and control outcomes must be reproducible across desks and recurring reporting cycles. Buyers should also expect that automation will only hold if portfolio mappings and instrument definitions are governed enough to keep reruns consistent.
Multi-portfolio hedge funds standardizing risk and attribution with FactSet market and portfolio definitions
FactSet Portfolio Analytics keeps factor exposure decomposition synchronized with FactSet-held portfolio holdings across reporting cycles. This reduces mismatches between what the firm reports as holdings and what the risk explanations describe.
Risk teams running governed exception and approval controls across many portfolios
Imagine Software routes approvals and exceptions based on computed results inside configurable risk-control workflows. This supports auditable changes to risk logic when approvals must track specific outcomes.
Operations-focused hedge funds that need run-level trace links for operational accountability
Arcesium provides run orchestration with audit-ready execution trace links from outputs to configuration and source inputs. This supports investigations when results differ between reruns.
Hedge funds with limit monitoring that must escalate into reporting packs
BlackRock Aladdin connects aggregated risk outputs to escalation paths and reporting packs through limit monitoring control workflows. It also ties structured scenario and stress testing workflows to operational reporting.
Funds with heavy trading lifecycle events and valuation inputs that must drive risk generation
Murex MX.3 links trade-to-risk traceability by tying workflow-driven calculation pipelines to trade lifecycle events and valuation inputs. This reduces ambiguity about which lifecycle inputs created a risk result.
Common buying and implementation pitfalls for Hedge Fund Risk Management Software
Hedge funds often underestimate the mapping and governance workload needed for automation to work on real portfolios. Many tools show higher setup friction when portfolio conventions and instrument mappings differ across teams or data sources.
Buying workflow automation without committing to shared portfolio and identifier conventions
Murex MX.3 increases governance workload when extensive workflow configuration is required and also needs significant mapping between trading and risk identifiers. Dynamo Software similarly depends on process discipline for scenario and limit changes to keep operational limit monitoring consistent.
Treating scenario coverage as a standalone feature without aligning scenario library inputs to upstream data completeness
Allvue and FundCount both tie orchestration to correctness of upstream mappings and run configuration so advanced scenario coverage can depend on those inputs. Calypso reduces manual rerun effort with validation gates, but instrument and data mappings still require careful setup to keep execution dependable.
Choosing audit trails without checking whether approvals and exceptions stay aligned to published outputs
Imagine Software ties approvals and exceptions to computed risk-control outcomes so downstream publishing follows the same results. Hazeltree adds governed configuration audit trails, but advanced automation still needs upfront mapping of portfolios to risk logic to avoid gaps in what gets governed.
Overlooking how escalation and reporting packs connect to aggregated risk outputs
BlackRock Aladdin links aggregated risk outputs to escalation paths and reporting packs, so control workflow design matters for committee readiness. Tools that focus more on execution trace can still require separate operational wiring to ensure escalation uses the same aggregated outputs.
Expecting quick change cycles without recognizing deep customization and configuration tradeoffs
BlackRock Aladdin can increase time-to-change when deep customization is required for model and control updates. Arcesium also has high setup workload when mapping complex portfolios to required risk inputs for orchestration.
How We Selected and Ranked These Tools
We evaluated hedge fund risk management software on integration depth between portfolio definitions and risk execution, then on automation and API surface visibility through how each tool ties inputs to risk outputs inside governed workflows. We scored features using workflow orchestration and traceability mechanisms, including whether the tool links outputs to configuration, inputs, and approval or escalation paths.
We scored ease and value around how quickly governance-grade runs can be configured without breaking cycle-to-cycle consistency. FactSet Portfolio Analytics ranked first because factor exposure decomposition and risk explanation stay synchronized with FactSet portfolio holdings across reporting cycles, which reduces the most common failure mode where holdings and risk narratives drift.
Frequently Asked Questions About Hedge Fund Risk Management Software
How do Murex MX.3 and Calypso differ in trade-to-risk traceability workflows?
Which tool best supports factor exposure decomposition aligned to a single reference data view?
How does Arcesium provide run-level audit trace compared with Hazeltree’s change-control approach?
When do hedge funds typically use pre-trade compliance checks versus post-trade controls in these platforms?
What breaks when risk governance requires approval-linked exceptions across recurring risk runs?
How do integrations and APIs affect throughput for stress testing and scenario execution?
Which tool is better for automating limit monitoring with escalation paths tied to risk outputs?
When data migration is required for portfolio, positions, and valuations, how do FactSet Portfolio Analytics and FundCount approach it?
Which platform best fits scenario analysis library needs with controlled reruns across desks and funds?
What governance tradeoff occurs if teams separate scenario design from risk configuration ownership?
Tools reviewed
Primary sources checked during evaluation.
Referenced in the comparison table and product reviews above.
Funding and competing interests
This study was co-funded by several of the vendors assessed in it. No single vendor funded it. Funders could propose the market studied.
They had no role in selecting vendors, setting or weighting criteria, analysing data or drawing conclusions, and they received the same factual-accuracy check as every other vendor assessed.
Market definition, inclusion rules and criteria weights were fixed by an editor before research began and did not change afterwards. Editorial process →
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