What is a Performance Book of Record (PBOR), and Why is it Important to Leverage Data as an Asset and Driver of Growth?

The concept of a Performance Book of Record (PBOR) has continued to evolve across the investment management industry. This paper, which was featured in the Journal of Performance Measurement, outlines the state of PBOR today and why it can help firms leverage enterprise data for future growth.

by Richard E. Mailhos, Principal and Investment Performance Practice Lead

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Signs It’s Time To Re-Evaluate Your Outsource Solution

Has your outsource solution lived up to its expectations? Have real-world problems with integration and the production environment simply shifted bottlenecks or errors to new areas? Key operational components and workflows are the lifeblood of any large organization. But when decisions to outsource were made years or even decades ago, the criteria becomes dated and inapplicable. Don’t overlook these three signs it’s time to re-evaluate your outsource solution.

by Benjamin P. Smith, Client Partner…

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5 Client Experience Trends – And Why Your Firm Should Be Paying Attention

As financial firms seek to expand distribution, enhance efficiency, reduce costs and improve performance, they must also focus on the client experience. From the initial point of contact to ongoing client servicing and reporting, all interactions matter – and your clients are taking note. Negative experiences could lead to lost revenue, but positive experiences could be the key to unlocking future revenue. To ensure your business is staying competitive, consider these five trends shaping the client experience today.

by Timothy W. Jager, Principal…

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Control Your Data: Don’t Let Your Data Control You

Financial services organizations have complex and rapidly-evolving data requirements. Whether it’s navigating compliance with ESG standards or diversifying investment products into complex derivatives instruments and alternative investments, the challenges feel never-ending or even flat-out impossible to solve. This begs the question: Are you controlling your data or is your data controlling you?

by John E. Leavy,…

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Wealth Management Study: A Survey Prompted by the Radically Evolving Operating Environment

Meradia’s 2020 wealth management survey collates information from interviews with key executives in the industry. The participating firms range from small- to mid-size and specialize in wealth management and trust service and operations. The study surfaces how firms view market trends and potential future challenges and involves deep discussions about their internal operating models.

The final output is designed to give insight to the industry in the form of commentary rather than statistics, gauge how the market is feeling as well as how firms are managing their clients and businesses. The views are based on observations made by the executives who participated.

by Joshua B. Levitt, Principal

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Re-Engineering Karnosky-Singer: Utility, Versatility and Insight for Practical Multi-currency Management

In 1994, Denis S. Karnosky, Ph.D. and Brian D. Singer, CFA published a monograph entitled “Global Asset Management and Performance Attribution” (KS). They presented the idea that – due to the arbitrage known as interest rate parity – some contribution to the total return of a multi-currency portfolio is known, and ‘baked into’ a foreign-currency investment at the time it is made. Because this contribution is knowable and hedge-able, it should accrue to the currency market allocations of the manager – whether or not these are ultimately hedged.

While hugely influential among asset managers globally, these ideas remain largely unexploited in current performance practice. Though KS fully detail an attribution approach based on an expansion of the Brinson-Fachler method, and though this method is implemented in several commercially available performance systems – it is rarely adopted in the field.

We posit this circumstance to have arisen from several causes: misalignments between the paper’s formulation and practical investing reality, as well as inaccurate readings of, and consequently flawed implementations of the attribution method it sets out. We explore these causes in detail, and how they contribute to attribution results that fail to explain portfolio performance, obscuring the otherwise substantial value of KS’ central premise.

Finally, we develop a re-statement of KS that addresses those issues, producing an accurate decomposition of multi-currency effects that precisely explains the portfolio’s performance, while preserving the original paper’s essential insight. We go further to generalize this method and demonstrate its applicability to any investment attribution methodology.

by Mark R. David, CFA, Director of Performance, Risk and Analytics

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What Exactly is a Performance Book of Record (PBOR) and Why is it Important to Next-Level Growth Across the Investment Management Industry?

The asset management industry comprises a diverse group of firms offering countless products, funds and investment vehicles that are traded in forever-evolving financial markets. There was a time when the trading book and accounting book differed by days or weeks and clients received reports quarterly. This is not acceptable for firms today that are facing the need for complex asset administration and daily reporting cycles. Whether a firm invests in public securities or private assets, each come with their own challenges including underlying exposures, lagged pricing or fair value impacts to elicit and compare to a variety of benchmarks.
Today, managers of all investment strategies are compiling massive amounts of daily data. Fund strategies, client holdings, return results and analytics combine to support actionable information for portfolio managers, investment boards, clients and regulatory bodies. Most asset management organizations that support this daily function call it a middle office, and the platform upon which it relies is best described as a Performance Book of Record (PBOR). This paper outlines why developing a reliable PBOR is essential for next-level growth of your investment management organization – growth driven by data and confidence from knowing your organization is taking advantage of all the informational assets it possesses.

by Richard E. Mailhos, Principal

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Risk Statistics in Performance Calculators: Suitable and Scalable? – Part 2

Investment performance calculators have witnessed steady growth in functionality during the past couple of decades. Leveraging huge data management platforms that contain exception management and workflow capabilities, calculators provide upstream integration capabilities. By expanding calculation breadth to include attribution effects and risk statistics, they are knocking on front office doors. As vendor consolidation occurs and performance systems endeavor to deliver one-stop solutions, it is important to understand design mechanisms related to each functionality that drives system efficiencies. In this paper, we examine returns and ex-post risk statistics.

Refer to Part 1 of this two-part series which lists the subset of risk statistics with which we are concerned and the benefits of calculating these in a performance calculator.

This Part 2 delves into systemic factors that enable efficient computation of risk statistics and why conventional architectures encounter scaling issues.

by Jose R. Michaelraj, CIPM, Senior Consultant

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Risk Statistics in Performance Calculators: Suitable and Scalable? – Part 1

Investment performance calculators have witnessed steady growth in functionality during the past couple of decades. Leveraging huge data management platforms that contain exception management and workflow capabilities, calculators provide upstream integration capabilities. By expanding calculation breadth to include attribution effects and risk statistics, they are knocking on front office doors. As vendor consolidation occurs and performance systems endeavor to deliver one-stop solutions, it is important to understand design mechanisms related to each functionality that drives system efficiencies. In this paper, we examine returns and ex-post risk statistics.

This Part 1 of a two-part series lists the subset of risk statistics with which we are concerned and the benefits of calculating these in a performance calculator.

Stay tuned for Part 2 which delves into systemic factors that enable efficient computation of risk statistics and why conventional architectures encounter scaling issues.

by Jose R. Michaelraj, CIPM, Senior Consultant

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