Total Portfolio Approach: The Operational Reality

Prior chapters in the Total Portfolio Approach (TPA) series explored the key challenges organizations face and the operational approaches they can take to support a TPA framework. The first two papers established the foundation by examining industry trends driving adoption of TPA and the architectural decisions required to enable it. The subsequent papers explored specific components of the target operating model in greater depth, including the capabilities a TPA-driven Investment Book of Record (IBOR) must support, as well as the attribution, analytics, and liquidity management outputs necessary to achieve the desired end state.

This final paper moves from concept to practice, focusing on the journeys of four organizations as they progress toward a Total Portfolio Approach. These case studies illustrate how each firm has pursued a more holistic view of its portfolio, how Meradia has supported that journey, and where the organization is headed next. While each path is unique, together they demonstrate different approaches to addressing four core themes highlighted throughout the series:

• Best-Efforts Decision Making: Timely Approximation Over Service-Level Precision
• TPA-Driven IBOR: Harmonizing Context at The Total Plan Level
• TPA Attribution and Analytics: Analyzing the Value of Total Portfolio Decisions
• TPA Liquidity: Liquidity Management for The Total Plan

A key takeaway from these examples is that there is no single blueprint for implementing a TPA. Organizations approach each of these themes differently based on their current-state capabilities, operating models, and strategic objectives. Also, some of the themes apply to a SAA/TAA context. Throughout this paper, we highlight the lessons learned from these engagements and connect them back to the principles and frameworks introduced in earlier chapters of the series.

Best Efforts Decision Making: Timely Approximation Over Service-Level Precision

Globally managed portfolios are impacted by a range of exogenous factors. While ex-ante analysis can identify potential risks, real-time visibility into portfolio exposures is critical. A country representing 5% of portfolio exposure raises interest rates. Asian markets decline following a tariff announcement. Political change in Europe is met with positive market sentiment. In such instances, market movements can persist for minutes, hours, or days. Understanding portfolio exposures quickly can help determine whether to maintain positions, engage counterparties, or bolster cash reserves.

The second paper[1] in the TPA series outlined a target operating model that supports best-efforts decision-making by prioritizing speed and efficiency over absolute accuracy. The following firms have put this principle into practice.

Top 5 US Pension Fund ($200B+ AUM)

The client’s performance function struggled to respond to the CIO’s ad hoc questions during periods of market turbulence. Valuation frequency, pricing methodologies, and service levels varied across asset classes, creating data gaps that limited the ability to calculate total plan-level[2] returns and exposures.

Public market exposures were available by close of business, while private market valuations arrived on a quarterly lag. Derivative exposures were understated, and benchmark data sourced through the custodian was subject to service levels that were misaligned with portfolio reporting needs.

Meradia’s best-efforts approach addressed these challenges in two ways. First, books of record were combined using reasonable, governed assumptions to create a holistic portfolio view. For example, ABOR and IBOR valuations were blended under defined guardrails to bridge valuation gaps. Second, standardized derivative exposure calculations were established independent of custodian and asset-class-specific methodologies, using last-known prices where appropriate. This included normalizing notional and synthetic exposure calculations across instruments, such as equity and fixed income futures.

The result was a scalable, total portfolio view of investments that incorporated transparent operating assumptions and delivered intraday, cross-asset adjusted exposures.

Canadian OCIO ($75B+ AUM)

Like the previous organization, this firm faced delays in calculating total fund and client portfolio returns, slowing quarter-end reporting and limiting the ability to make timely investment decisions. During periods of market volatility, executives were often unable to respond confidently to inquiries from clients and the board because performance information was not yet available.

To address this challenge, the firm adopted a phased returns framework built around varying levels of confidence. Initial return estimates were delivered shortly after quarter-end, providing executives with a timely view of portfolio performance and enabling best-efforts decision making at the total portfolio level. As additional valuations and data became available, returns were progressively refined, increasing confidence while preserving continuity in analysis and decision-making.

Supporting this shift required a redesign of key performance and reporting workflows. Rather than treating return calculation as a single end-of-period process, the organization established a staged model that produced successive return estimates as data became available. Controls and reporting processes were adapted to transparently communicate confidence levels and to manage the transition from estimated to finalized results.

This approach struck a practical balance between timeliness and precision, allowing stakeholders to act on the best available information rather than waiting for results to be finalized. Earlier access to performance estimates also accelerated analysis and reporting workflows across the organization. Beyond portfolio-level reporting, the phased returns framework supported net return calculations, hedged return analysis, and attribution reporting well before the final close was completed.

TPA Driven IBOR: Harmonizing Context at The Total Plan Level

In our third paper[3], we defined an Investment Book of Record (IBOR[4]) as “a data set that represents the investment view, persisted across time with appropriate controls to enable cross-functional use cases.” An effective IBOR does more than represent what the portfolio holds; it preserves the investment context necessary for different stakeholders to interpret and act on that information consistently.

This becomes increasingly important in a Total Portfolio Approach. The CIO, public markets team, private equity team, risk group, and treasury function often view the same holdings through different lenses and decision frameworks. Overlay strategies add another layer of complexity, as their purpose and impact frequently extend beyond the boundaries of individual asset classes. Without a common framework for preserving and reconciling these perspectives, organizations risk creating fragmented views of the portfolio and inconsistent decision-making.

In our experience, establishing a truly integrated plan-level IBOR is one of the most challenging aspects of a TPA transformation. Success depends not only on data integration but also on the ability to harmonize investment context across functions, asset classes, and time horizons. The effectiveness of this approach is often closely tied to the capabilities of the underlying front-to-back platform and its ability to support a consistent investment view across the organization.

The following organizations illustrate different approaches to building and operationalizing a TPA-Driven IBOR.

Canadian Pension Fund ($300B+ AUM)

This asset owner embraced the principles of the Total Portfolio Approach to manage a globally diversified portfolio, selecting a sophisticated front-to-back platform as the foundation of its operating model. The platform is designed to serve as both the ABOR and IBOR across public and private assets, incorporating funded positions and unfunded commitments to provide a comprehensive total portfolio view. This architecture reduces reconciliation requirements, streamlines integration points, and creates a more unified investment data environment. By migrating historical positions and market data, the organization is also establishing a time-series view of the portfolio, creating a trusted foundation for plan-level analytics and decision-making.

The benefits extend well beyond operations. Front office, risk, performance, and treasury teams will operate from the same investment data set, enabling greater consistency in analysis, reporting, and decision-making across the organization. (Meradia is supporting the implementation, with go-live currently planned for 2027)

US Pension Fund ($100B+ AUM)

This U.S. pension fund relied on fragmented investment and accounting data sources that required significant manual consolidation to support portfolio management and reporting. Legacy systems struggled to accommodate the complexity of modern investment strategies, making asset allocation, risk analysis, and portfolio oversight increasingly difficult.

To address these challenges, the organization established a unified book of record that brought investment and accounting data together into a single, trusted source for the total portfolio. This provided investment teams with more timely, consistent, and transparent information, improving decision-making and reducing operational inefficiencies. By breaking down traditional data silos and creating a governed enterprise-wide data foundation, the fund gained greater visibility across assets, exposures, and performance.

The structured and persistent data architecture also enabled the integration of modern investment management technologies, positioning the organization for more scalable and effective portfolio management. With a trusted total portfolio data foundation in place, the organization is now better positioned to expand its analytics and reporting capabilities, supporting increasingly sophisticated Total Portfolio decisions as investment and operational requirements evolve.

TPA Attribution and Analytics: Analyzing the Value of Total Portfolio Decisions

Several decisions across the organization influence an asset owner’s portfolio construction. Strategic asset allocation, rebalancing decisions, tactical asset allocation, and external manager selection are often shared responsibilities between the Board and CIO. Currency overlays and hedging programs are managed at the total portfolio level, while portfolio construction teams focus on diversification and factor tilts. Asset class teams retain discretion over sector and segment allocations, and portfolio managers execute security selection and trading strategies. This federated decision-making model makes it difficult to assess value added using traditional attribution methodologies, which are typically designed around a single portfolio manager or asset class hierarchy.

The fourth paper [5] in the TPA series explored how notional portfolios and integrated analytics can be used to evaluate decisions across multiple layers of the investment process and to provide insight into future portfolio actions. The following firms demonstrate how these principles have been applied in practice.

Canadian Pension Fund ($300B+ AUM)

The client adopted a process-based attribution[6] methodology as the backbone for defining, implementing, and enhancing its attribution capabilities. Meradia formalized the framework using a series of notional portfolios supported by both top-down and bottom-up data inputs. The starting point reflected the organization’s funding policy and risk tolerance, with successive notional portfolios constructed to isolate the impact of strategic asset allocation decisions, illiquidity considerations, leverage, and rebalancing efforts. Together, these notional portfolios created a transparent framework for measuring the Board’s market risk posture, evaluating value added by strategic and dynamic asset allocation decisions, and quantifying the impact of rebalancing and policy changes.

As a result, the performance function gained the ability to analyze investment outcomes through the lens of the underlying decision-making process. Questions that were previously difficult or impossible to answer can now be addressed systematically, allowing stakeholders to identify which decision layers contributed the most value and where future opportunities for improvement may exist.

Canadian OCIO ($75B+ AUM)

This client, a Canadian OCIO managing multiple investors through a pooled investment structure, sought greater transparency into how top-down allocation decisions affected both total portfolio and individual client outcomes. While tactical allocation changes were intended to improve overall portfolio results, the firm lacked a consistent framework for measuring and communicating the value generated by those decisions.

To address this challenge, a tactical attribution framework was developed to isolate and quantify the impact of allocation decisions across multiple levels of the investment process. The framework enabled investment teams to evaluate the contribution of total portfolio decisions while understanding how the resulting benefits and trade-offs were distributed among underlying clients. By linking attribution results directly to the decision-making process, the organization gained a more rigorous and transparent method for assessing the effectiveness of tactical allocation decisions and communicating outcomes to stakeholders.

TPA Liquidity: Liquidity Management for The Total Plan

With portfolios becoming increasingly diversified across public and private markets, asset owners can no longer manage liquidity within individual asset classes or silos. Commitments, capital calls, rebalancing activity, derivative collateral requirements, and benefit payments all compete for the same pool of resources and must be evaluated in the context of the total portfolio. Liquidity management is a critical component of a Total Portfolio Approach, ensuring that capital is available to support investment decisions while meeting funding obligations.

The fourth paper [7] in the TPA series explored how integrated liquidity management enables organizations to make more informed portfolio decisions, balance investment opportunities against liquidity needs, and understand the trade-offs between risk, return, and liquidity. The following client journeys illustrate how different organizations have applied these principles to improve liquidity forecasting across the total portfolio.

US Pension Fund ($100B+ AUM)

A U.S. pension fund faced significant liquidity management challenges due to fragmented and poorly governed data across investment, treasury, and risk functions. Treasury and risk teams spent considerable time gathering, normalizing, validating, and maintaining cash flow information, with private market cash flows proving particularly difficult to access, standardize, and forecast. While public market cash flow estimates were generated systematically and available on a timely basis, private market data relied heavily on manual processes, resulting in inconsistent quality, lineage, and persistence.

Recognizing that liquidity management was fundamentally a data challenge, the organization established a strategic vision centered on enterprise data governance and ownership, and a systematic treasury capability designed to persist and manage liquidity information across the enterprise. By creating a governed liquidity data foundation, the fund was able to consolidate cash flow information across public and private investments, improve transparency into current and projected liquidity, and reduce the operational burden placed on treasury and risk teams. This foundation enabled a more comprehensive view of total portfolio liquidity and allowed specialists to focus on investment and risk decisions rather than data management.

Canadian OCIO ($75B+ AUM)

The firm sought a more comprehensive view of liquidity and allocation decisions across the total portfolio. To support this objective, it implemented a liquidity management platform that consolidated portfolio, performance, cash flow, and asset-liability data from the pooled investment level through to the total portfolio. This provided a unified view of exposures, performance, liquidity needs, and funding considerations across the investment program.

Using macro factor models and liquidity forecasts, the firm was able to assess future cash requirements, evaluate asset-liability implications, and inform total portfolio allocation decisions more proactively. As market conditions evolved, the framework also supported tactical allocation adjustments and portfolio rebalancing activities. By evaluating liquidity, risk, and funding requirements through a total portfolio lens, the organization gained greater transparency into the impact of investment decisions on both underlying client portfolios and long-term liabilities. The result was a more disciplined and data-driven approach to liquidity management, asset-liability management, and total portfolio decision-making.

Conclusion

Over the course of this series, we have explored the operational implications of adopting a Total Portfolio Approach. What began as a discussion of industry trends and investment philosophy evolved into a deeper examination of the capabilities required to support TPA in practice. Across each topic, a consistent theme emerged: total portfolio decision-making requires organizations to move beyond traditional silos and establish a common operating framework. We have also witnessed that organizations operating in an SAA/TAA model adopt similar capabilities while constructing a Total Portfolio View.

The client journeys presented in this paper reinforce a central conclusion of the series: there is no universal TPA or for that matter, SAA operating model. Organizations will pursue different paths based on their investment strategies, existing capabilities, and priorities. As the investment industry continues to evolve, the challenge will be not just defining a Total Portfolio Approach, but also building the operational capabilities required to sustain it.

 

[1] Architecting for Total Portfolio Approach – Meradia

[2] Total plan-level returns are also referred to as sponsor-level return, all-mandate return, total fund return, or simply total portfolio return in the industry.

[3] The Investment Data Behind a Total Portfolio Approach – Meradia

[4] In addition to this series, Meradia has written about IBOR’s importance:  https://meradia.com/thought-leadership/ibor-is-key-for-total-portfolio-view/

[5] Building Backwards: Delivering Total Portfolio Attribution, Analytics, and Liquidity – Meradia

[6] For a detailed treatment, refer to Meradia’s paper ‘Process-based attribution: Getting to the Heart of Value Add’: https://meradia.com/thought-leadership/process-based-attribution-getting-to-the-heart-of-value-add/

[7] Building Backwards: Delivering Total Portfolio Attribution, Analytics, and Liquidity – Meradia

Download Thought Leadership ArticleServices: Solution Design, Strategy and RoadmapExpertises: All Meradia, Performance, Risk & AnalyticsClients: Asset Owner, PensionAuthors: Jose Michaelraj, Piers Hansen