---
name: preparing-secondary-market-reports
language: en
description: Synthesizes secondary market activity with volume trends, pricing benchmarks, and deal type composition for market participants. Use when preparing market reports, analyzing secondary volumes, or tracking market evolution.
tags:
  - preparation
  - secondaries-and-gp-led
metadata:
  author: casemark
  practice_areas:
    - Secondaries
    - GP-Led Transactions
    - LP Portfolio Management
  document_types:
    - Preparation Document
  skill_modes:
    - Preparation
---
# Preparing Secondary Market Reports

Synthesizes secondary market activity with volume trends, pricing benchmarks, and deal type composition for market participants.

## When To Use

- Producing periodic (quarterly/annual) secondary market overview reports for LPs, GPs, or advisory clients
- Benchmarking secondary transaction pricing against historical NAV discounts/premiums
- Analyzing deal-type composition shifts (LP-led vs. GP-led continuation vehicles, directs, tenders, strip sales)
- Tracking market volume trends to inform portfolio allocation or disposition timing
- Preparing pitch materials or market context sections for secondary fund marketing

## Inputs To Gather

- **Reporting period**: Quarter(s) and/or year(s) covered
- **Transaction data**: Closed deal volume, pricing (bid/ask and closing), deal count by type
- **Pricing benchmarks**: Average bid as % of NAV by strategy (buyout, venture, real assets, credit, infrastructure)
- **Deal-type breakdown**: LP portfolio sales, GP-led continuation vehicles, direct secondaries, tender offers, structured/preferred equity, fund restructurings
- **Fundraising data**: Secondary fund closings, capital overhang, dry powder estimates
- **Comparable period data**: Prior quarter and prior-year-period figures for trend analysis
- **Notable transactions**: Marquee deals, record-setting transactions, or structurally novel deals worth highlighting
- **Source attribution**: Greenhill/Jefferies, Evercore, Lazard, Setter Capital, industry databases, or proprietary data — identify each source clearly
- **Audience and scope**: Who will consume the report and what level of granularity is expected

## Workflow

1. **Define scope and periodicity**
   - Confirm reporting period, audience (internal investment committee, LP advisory board, external marketing), and depth of analysis required
   - Determine whether the report is a standalone market update or a section within a broader fund report

2. **Aggregate and normalize data**
   - Collect transaction volume from multiple sources; reconcile discrepancies in reported totals [VERIFY that source methodologies are consistent — e.g., some advisors include unfunded commitments in volume, others do not]
   - Normalize pricing data to a common basis (% of NAV at transaction close vs. at reference date)
   - Segment deals by type: LP-led (portfolio sales, single-fund strips, stapled transactions), GP-led (continuation vehicles, tender offers, NAV loans reclassified as secondaries)

3. **Analyze volume and pricing trends**
   - Compare current-period volume to trailing quarters and the same period in prior years
   - Calculate average pricing by strategy bucket; note dispersion (median vs. mean, interquartile range if data permits)
   - Identify directional shifts: Are GP-led transactions growing as a share of total volume? Is venture pricing compressing while buyout holds? Are bid-ask spreads narrowing?

4. **Assess deal-type composition**
   - Break out LP-led vs. GP-led share of total volume (by dollar amount and deal count)
   - Within GP-led, distinguish single-asset continuation vehicles from multi-asset/portfolio CVs
   - Note emerging structures: preferred equity secondaries, NAV-based lending overlaps, co-invest strip sales, deferred payment mechanisms

5. **Contextualize with fundraising and dry powder**
   - Report secondary fund closings in the period and capital overhang relative to annual transaction volume
   - Assess supply/demand dynamics: Is dry powder creating pricing pressure? Are LP sellers pulling back due to improved pricing?

6. **Draft the report**
   - **Executive summary**: Key headline figures — total volume, average pricing, dominant deal type, notable shift vs. prior period
   - **Volume overview**: Table or chart-ready data showing period-over-period comparisons
   - **Pricing analysis**: Strategy-level pricing table with NAV discount/premium, trend arrows, and commentary on outliers
   - **Deal-type composition**: Pie chart or stacked bar data with narrative on structural trends
   - **Notable transactions**: 3–5 marquee deals with brief descriptions (counterparties anonymized unless public)
   - **Market outlook**: Forward-looking commentary on expected volume trajectory, pricing direction, and structural evolution

7. **Review and finalize**
   - Cross-check all figures against source data; ensure internal consistency (segment volumes sum to total)
   - Confirm source attribution is complete and dates are accurate
   - Verify that forward-looking statements are appropriately qualified

## Output

A structured secondary market report containing:

- Executive summary with headline metrics
- Volume trend analysis with period-over-period comparison (tables/chart-ready data)
- Pricing benchmarks by strategy with historical context
- Deal-type composition breakdown (LP-led, GP-led, direct, structured)
- Fundraising and dry powder context
- Notable transaction highlights
- Market outlook with qualified forward-looking commentary
- Full source attribution and methodology notes

## Quality Checks

- [ ] All volume and pricing figures reconcile across sections and sum correctly
- [ ] Pricing is expressed on a consistent basis (% of NAV) with reference date specified
- [ ] Deal-type categories are mutually exclusive and collectively exhaustive — no double-counting
- [ ] Sources are cited for every data point; proprietary estimates are labeled as such
- [ ] Prior-period comparisons use the same methodology and source vintage [VERIFY if source revised historical figures]
- [ ] Forward-looking statements use hedging language ("we expect," "market participants anticipate") and are clearly distinguished from reported data
- [ ] Report is calibrated to audience — internal reports may include proprietary deal flow data; external reports should anonymize where required
- [ ] Any data gaps or known limitations are disclosed (e.g., "GP-led volume may be understated due to delayed reporting of continuation vehicles")