Every number a fund reports rests on the price of its positions. Net asset value, performance, fees, and the trust of investors and auditors all flow from how accurately and defensibly a portfolio is valued. For liquid, market-traded assets, that is largely a data problem. For illiquid and private assets, it is a judgment problem, made under rising regulatory and investor scrutiny. As private markets grow and expectations for transparency and frequency climb, pricing and valuation has become a discipline that demands both automation and governance.
What Is Pricing and Valuation?
Pricing and valuation is the process of determining the current fair value of every position in a portfolio, sourcing observable market prices where they exist and estimating fair value through models where they do not, so that a fund’s NAV, performance, and reporting rest on accurate, defensible numbers.
It is the discipline that translates a portfolio of holdings into a single, trustworthy set of figures.
The two words describe two different situations. Pricing applies to assets with observable market prices, a listed equity or a liquid bond, where the task is to gather, validate, and apply the right quote. Valuation applies to assets without a reliable market price, a private loan or an equity stake in a private company, where fair value has to be estimated using models and assumptions. Most portfolios contain both, and the harder, more scrutinized work sits on the valuation side.
Why Pricing and Valuation Matters Today
Pricing was once a quiet, largely mechanical task: pull vendor prices each day, post them, move on. That is no longer the whole picture. The growth of private markets means portfolios now hold far more illiquid, hard-to-value assets, private credit, private equity, real assets, whose fair value cannot be looked up and must be modeled.
Regulation has raised the stakes. Fair value measurement under ASC 820 and IFRS 13 imposes a structured hierarchy and disclosure regime, and in the United States, SEC Rule 2a-5 formalized how fund boards oversee fair value determinations. Auditors and investors now expect not just a number but a defensible, fully traceable rationale behind it.
Frequency is rising too. Where private assets were once valued quarterly, the market is moving toward monthly and even daily valuation, a shift explored in IVP’s webinar on whether firms are ready for daily private credit pricing. Doing that by hand, across complex assets and multiple data sources, does not scale. Automation and strong governance have become the only realistic way to keep pace.
How Does Automated Pricing and Valuation Differ From Manual Processes?
Four differences define the gap between an automated pricing and valuation platform and manual, spreadsheet-driven processes:
- Data sourcing. Manual processes pull prices from each vendor, broker, and agent by hand. An automated platform connects to many sources at once, gathering, validating, and mapping data through a single pipeline.
- Rules and consistency. Manual pricing applies waterfall logic inconsistently, differently by analyst and by day. A platform enforces configurable waterfall rules and threshold checks the same way every time.
- Exceptions and challenges. Manual exception handling lives in emails and side spreadsheets. A platform routes exceptions, challenges, and solicitations through a controlled, audited workflow.
- Traceability. Manual valuation is hard to reconstruct after the fact. A platform preserves full source-to-output traceability, exactly what an auditor or valuation committee needs to see.
Who Is Involved in the Pricing and Valuation Process?
- The pricing and valuation team: Runs the daily and periodic process, sources data, applies rules, resolves exceptions, and prepares valuations for review.
- Data vendors: Bloomberg, ICE/IDC, Markit, Refinitiv, and others supply market prices and reference data for liquid instruments.
- Brokers: Provide quotes for less liquid instruments and are the counterparties in price challenges and solicitations.
- Valuation agents: Independent specialists such as Kroll or Houlihan Lokey provide third-party marks and valuations for hard-to-value positions.
- Fund administrators and internal desks: Supply comparison marks, internal estimates, and independent verification.
- The valuation committee: Reviews and approves valuations, especially for Level 3 assets, and owns methodology and governance.
- Boards, valuation designees, and auditors: Provide oversight and independent assurance, increasingly under formal regulatory frameworks.
What Is a Pricing and Valuation Solution?
A pricing and valuation solution is software that automates the full pricing lifecycle, from sourcing and validating data through applying pricing rules, running valuation models, managing exceptions, and publishing final prices to downstream systems, while maintaining the audit trail and governance the process requires.
It brings market pricing and model-based valuation onto one governed platform.
Any solution has to handle two fundamentally different jobs:
Market Pricing vs. Model-Based Valuation
- Market pricing handles assets with observable prices. The work is connectivity and rules: pull quotes from vendors and brokers, validate them, apply a waterfall to pick the best source, and flag anomalies. Speed, breadth of connectivity, and data quality matter most.
- Model-based valuation handles illiquid and private assets that have no market price. The work is modeling and judgment: build cash flows, derive discount rates, allocate value across a capital structure, document assumptions, and defend the result to a committee and auditors. Model rigor, configurability, and traceability matter most.
Role of the Valuation Committee and Governance
Two roles are central to how valuation operates. The pricing and valuation team executes the process day to day, sourcing data, running models, and resolving exceptions. The valuation committee owns methodology and oversight: it approves the approaches used, reviews significant and Level 3 marks, and ensures each valuation is consistent with policy and defensible to auditors and regulators. Under frameworks such as SEC Rule 2a-5, that governance is not optional; it is a documented, tested, and reported obligation.
Types of Pricing and Valuation Approaches
Pricing and valuation draws on a range of approaches, chosen by asset type, liquidity, and available data:
Vendor and Broker Pricing
For liquid, market-traded assets, prices are sourced directly from data vendors and broker quotes. The task is connectivity, validation, and selecting the most reliable source rather than estimation.
Waterfall Pricing
When multiple sources exist, a waterfall applies them in a defined order of preference, primary vendor, then secondary, then broker quote, then model, so the chosen price is consistent and auditable rather than a judgment call each day.
Discounted Cash Flow (DCF)
The workhorse of private credit valuation. Projected loan cash flows are discounted at a rate reflecting base rates, credit spreads, and liquidity, producing a net present value. The discount-rate methodology is where most of the judgment, and scrutiny, sits.
Option Pricing Model (OPM) and Equity Allocation
For private equity stakes in companies with complex capital structures, allocation methods such as OPM and the current-value or common-stock-equivalent approaches distribute enterprise value across share classes, accounting for liquidation preferences, participation rights, and conversion features.
Market Comparables and Precedent Transactions
Enterprise value is estimated by reference to trading multiples of comparable public companies or the multiples paid in precedent transactions, often blended with other methods under configurable weightings.
Recent Transaction and Latest Funding Round
For private holdings, the price of a recent financing round or transaction in the same asset can anchor fair value, adjusted for changes since the deal.
Curve-Based and Benchmark-Driven Pricing
Instruments priced off yield curves, credit curves, or benchmarks require managing and applying curve data over time, with a complete history of curve points for traceability.
How Does Pricing and Valuation Work?
From the first data pull to the final published price, an automated pricing and valuation process follows a repeatable cycle. Here is how it works in practice.
Data Gathering and Connectivity
The process starts by collecting prices and inputs from vendors, brokers, valuation agents, and internal desks, over email, FTP, API, Excel, and other channels, alongside security and position data from accounting systems and the reference master.
Validation and Mapping
Incoming data is validated against data-quality rules and threshold checks and mapped to the right securities. Catching bad or stale inputs here prevents them from flowing into prices and reports downstream.
Price Aggregation and Waterfall Rules
For each position, the platform aggregates available prices and applies waterfall rules to select the best source, handling listed, OTC, and illiquid instruments differently according to policy.
Exception Management, Challenge, and Solicitation
Prices that breach thresholds or look anomalous are flagged as exceptions and routed through a workflow for resolution. Where a mark looks wrong, the team can challenge a broker or solicit fresh quotes, with the whole exchange recorded. IVP’s perspective on handling these cases is set out in its guide to dealing with pricing anomalies for illiquid OTC and private assets.
Review, Approval, and Publishing
Final prices and valuations are reviewed, approved by the appropriate authority or committee, and published to downstream accounting systems and data warehouses, with valuation memos and reports generated for governance.
Pricing vs. Valuation
The terms are often used together, but they describe different problems, and conflating them causes confusion about method, frequency, and scrutiny.
| Feature | Pricing | Valuation |
| Applies to | Liquid, market-traded assets. | Illiquid, private, hard-to-value assets. |
| Basis | Observable market prices. | Estimated fair value via models. |
| Key inputs | Vendor and broker quotes. | Cash flows, comparables, assumptions. |
| Frequency | Daily, often intraday. | Periodic, moving toward daily. |
| ASC 820 level | Level 1 or Level 2. | Typically Level 3. |
Public vs. Private Asset Valuation
The divide between public and private assets shapes almost everything about how they are valued.
| Feature | Public Assets | Private Assets |
| Data | Abundant and observable. | Sparse, often unstructured. |
| Method | Vendor pricing and waterfalls | DCF, OPM, comparables, waterfalls. |
| Subjectivity | Low. | High and assumption-driven. |
| Governance need | Moderate | High: committee, memos, audit. |
| Cadence | Daily | Monthly or quarterly, increasingly daily. |
Automated vs. Manual Pricing and Valuation
The practical decision most valuation teams face is whether to keep running the process on spreadsheets. The gap widens as portfolios grow more complex.
| Feature | Automated Platform | Manual and Spreadsheets |
| Data sourcing | Many integrated sources, one pipeline. | Pulled by hand, source by source |
| Waterfall rules | Configurable and consistent. | Ad hoc and inconsistent. |
| Exceptions | Workflow-managed and audited. | Emailed and untracked. |
| Traceability | Full source-to-output audit trail. | Fragile, hard to reconstruct. |
| Scale | New asset classes onboarded easily. | Breaks down with complexity. |
Fair Value and Regulation: ASC 820, SEC Rule 2a-5, and IPEV
The Fair Value Hierarchy (ASC 820 and IFRS 13)
Accounting standards ASC 820 (US GAAP) and IFRS 13 (international) define fair value and sort the inputs used to measure it into three levels. Level 1 uses quoted prices in active markets for identical assets. Level 2 uses observable inputs other than Level 1 quotes, such as prices for similar assets or observable market data. Level 3 uses unobservable, model-based inputs, and it is where private and illiquid assets, and the most scrutiny, live. Classifying each position by level and disclosing the basis is a core requirement.
SEC Rule 2a-5 and the Valuation Designee
In the United States, SEC Rule 2a-5, adopted in December 2020 with a compliance date of September 8, 2022, modernized how registered funds determine fair value. It sets a principles-based framework requiring boards to assess and manage valuation risks, establish and test fair value methodologies, and oversee any pricing services used. Boards may designate a valuation designee, typically the investment adviser, to perform fair value determinations, subject to reporting and oversight and reasonable segregation from portfolio management. A related recordkeeping rule requires supporting documentation to be retained for six years.
IPEV and Private Market Guidelines
For private equity and venture holdings, the International Private Equity and Venture Capital Valuation (IPEV) Guidelines provide the market-standard framework for applying fair value principles, covering methodology selection, calibration, and the treatment of complex structures. Aligning valuations with ASC 820, IFRS 13, and IPEV is what makes a mark defensible across accounting, audit, and investor reporting.
Benefits of Automated Pricing and Valuation
Here are the key benefits of automating pricing and valuation rather than running it by hand:
- Increased transparency: A built-in pricing audit, a full time series of curve points, and visibility into every data source behind a price give complete traceability for review by executives, investors, and auditors.
- Higher accuracy: Customizable, rules-based data-quality checks with severity distinctions catch errors and enforce consistency across asset classes.
- Faster cycles: Automation compresses valuation timelines dramatically, freeing analysts from data wrangling to focus on judgment and review.
- Deeper insight: Analytics on quote quality, ASC 820 levels, and price curves turn the pricing process into a source of intelligence, not just a number.
- Scalability: New asset classes, funds, and data sources are operationalized with minimal effort, so pricing capability grows with the portfolio.
- Governance and compliance: Consistent methodologies, complete audit trails, and one-click committee-ready memos make ASC 820 and SEC Rule 2a-5 obligations far easier to meet.
Risks and Operational Considerations
The same characteristics that make valuation critical also create risks worth understanding clearly.
- Valuation subjectivity: Level 3 assets depend on assumptions, discount rates, comparables, projections, and small changes can move the mark materially. This is where scrutiny concentrates.
- Data quality and stale prices: A pricing process is only as good as its inputs. Bad, missing, or stale data flows straight into NAV if it is not caught by validation.
- Model risk: Models can be misspecified or misapplied. Without configurability, testing, and review, a flawed model produces confident but wrong numbers.
- Governance and audit exposure: Weak documentation and inconsistent methodology are exactly what auditors and regulators probe. Under Rule 2a-5, gaps in process are a compliance problem, not just an operational one.
- Key-person and spreadsheet risk: Valuation logic buried in one analyst’s spreadsheet is fragile, opaque, and impossible to defend if that person leaves.
The Evolution of Pricing and Valuation
Pricing began as a daily vendor-feed exercise for liquid books and a periodic, spreadsheet-and-committee exercise for everything else. That division worked while private assets were a small slice of most portfolios and quarterly marks were acceptable to investors and auditors.
Two forces changed it. The growth of private markets pushed far more Level 3 assets onto fund balance sheets, and the tightening of fair value regulation, ASC 820, IFRS 13, and SEC Rule 2a-5, raised the bar on rigor, documentation, and oversight. Valuation stopped being a back-office formality and became a governed, audited discipline.
The current shift is toward frequency and intelligence. Investors and some managers increasingly want private assets valued monthly or daily rather than quarterly, and AI is beginning to automate the most labor-intensive parts of the process, parsing unstructured documents, assessing quote quality, and drafting valuation memos. Underpinning all of it is the need for a golden source of pricing and reference data, so that every downstream number traces back to one trusted set of inputs.
Pricing and Valuation Operations and Workflows
Daily, Monthly, and Quarterly Cycles
Different assets run on different clocks: liquid positions are priced daily, often with intraday pulls, while private assets are valued monthly or quarterly. A single platform has to orchestrate all of these cadences against the same governed data.
Challenge and Solicitation
When a vendor or broker mark looks wrong, the team challenges it or solicits fresh quotes. Built-in workflow automation manages these exchanges and records them, turning what was an email trail into an auditable process.
Curve Data Management
Curve data, yield curves, credit curves, and related market data, underpins the pricing of many instruments and has to be managed over time with a full history of points. IVP’s guide to managing curve data throughout the pricing process covers the operational detail.
Valuation Memos and Committee Packages
For private and Level 3 assets, the output is not just a price but a documented rationale: assumptions, methodology, sensitivities, and comparisons, assembled into committee-ready memos and packages that support governance and stand up to audit.
Technology and Infrastructure in Pricing and Valuation
The operational complexity of pricing a modern portfolio is significant. Data arrives from many sources in many formats, assets span liquid and deeply illiquid, and every number must be defensible. Doing this by hand is not just slow; it is a governance and compliance risk.
Connectivity and a Golden Source
The foundation is broad, pre-built connectivity, to the major data vendors, brokers, valuation agents, and downstream accounting and portfolio systems, feeding a single golden source of pricing and reference data. As part of the IVP Master Data Management suite, the pricing engine syncs in real time with the IVP Security and Reference Master and the IVP Data Warehouse.
The Pricing Engine and Waterfall Rules
A configurable engine applies waterfall rules, threshold checks, and exception logic consistently across asset classes and pricing frequencies, so the same policy is enforced every time without manual intervention.
Private Valuation Engines
Dedicated engines handle private credit (periodic DCF with advanced discount-rate modeling) and private equity (enterprise value, allocation across complex capital structures via OPM and waterfalls), alongside a sandbox where users can configure bespoke models without IT support.
AI Agents and the Excel Add-In
AI increasingly sits inside the workflow: parsing unstructured financials, agent notices, and credit agreements; scoring broker-quote quality; auto-initiating challenges; and drafting valuation memos, all under human review. A full-featured Excel add-in lets front-office users provide desk estimates and pricing notes without leaving the spreadsheet.
The Future of Pricing and Valuation
Pricing and valuation is modernizing quickly. Several trends point to where it is heading.
- Toward daily private valuation. Investor demand and product innovation are pushing private assets from quarterly toward monthly and daily valuation, which is only feasible with automation.
- AI across the lifecycle. Document parsing, quote-quality scoring, discount-rate suggestions, and memo generation will handle more of the manual work, with analysts reviewing rather than assembling.
- Golden source and data lineage. Tighter integration between pricing, reference data, and the data warehouse will make full source-to-output lineage the default expectation.
- Rising regulatory rigor. Fair value oversight under ASC 820, IFRS 13, and Rule 2a-5 will keep tightening, rewarding firms whose process is documented and testable by design.
- Model transparency. As models do more, the ability to explain and defend them, methodology, assumptions, sensitivities, becomes as important as the output itself.
Conclusion: Why Pricing and Valuation Has Become a Strategic Function
Pricing and valuation has earned a central place in fund operations. It determines NAV, performance, and fees, and it is where auditors, investors, and regulators look hardest. Done manually, it is slow, inconsistent, and exposed. Done well, it is fast, accurate, and fully defensible, and it turns a compliance burden into a source of confidence.
Getting valuation right is no longer optional for hedge funds, asset managers, or private credit and equity firms. Portfolios hold more hard-to-value assets, cadence is rising, and the regulatory bar for defensible fair value is higher than it has ever been. Firms running pricing on spreadsheets and disconnected tools are carrying valuation, audit, and compliance risk that compounds with every reporting cycle.
Indus Valley Partners built the IVP Pricing and Valuation Solution, part of its wider suite of asset management solutions, as a one-stop platform for pricing and valuing public and private assets across asset classes. With connectivity to more than 100 pricing vendors, brokers, and valuation agents, dedicated private credit and private equity valuation engines, embedded AI agents, and full ASC 820, IFRS 13, and IPEV-aligned traceability, it supports over $500 billion in AUM and delivers 60 to 80 percent faster valuation cycles with committee-ready reporting in a click. It is designed for the realities of modern private markets and scales as the firm grows.
