Expertise: Performance, Risk & Analytics

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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Hedge Fund and Private Equity: Investment Performance Challenges

Alternative Investments create opportunities for investors, and they present unique operational challenges for investment managers. This paper discusses operational challenges associated with investment performance calculations, specifically as they pertain to hedge funds and private equity included in a multi-asset portfolio. Challenges discussed include late pricing, layered fees, exposure reporting, preliminary and final pricing as well as negative valuations. The pros and costs of several valuation methods are also addressed.

by Laurie J. Hesketh, CIPM, PMP, Managing Director

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Performance Reporting Considerations: Environmental, Social and Governance Investment Strategies

Environmental, Social and Governance (ESG) investment strategies and other portfolio management strategies that accentuate societal impact into the investment management process are burgeoning in popularity. Changing attitudes and demographics suggest that clients are increasingly interested in using their investment dollars to make positive impacts.

These new impact strategies challenge traditional investment performance reporting. This article examines the core characteristics of impact investing, barriers to improved performance reporting and tools to navigate this changing landscape.

by Laurie J. Hesketh, CIPM, PMP, Managing Director

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Multi-Asset Class Investing

Multi-Asset Class Investing: Part 3 – Knitting Together an Attribution

Meradia has observed a strong uptick in activity around Multi-Asset Class (MAC) investment products and strategies. We see managers across the globe expanding current MAC offerings and introducing new ones; consequently, generating demand for new support around analytic methodologies, data, and technology.

This series explores our view of the multi-asset class phenomenon in depth, from origins to solutions. In our first installment, we looked at market and industry trends that seem to be driving the evolution of MAC toward more sophisticated strategies. In the second, we examined characteristics and methods of MAC managers that raise the bar, relative to traditional investment processes. In our final entry, we’ll examine some real-world solutions to the puzzle presented by attribution in a MAC framework. Given the inherent – indeed, intentional – disparity among the factors driving risk and return of these classes, how do we design and present an attribution methodology that accurately and meaningfully illustrates the manager’s MAC process?

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

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Multi-Asset Class Investing

Multi-Asset Class Investing: Part 2 – Meeting the Process Challenge

Meradia has observed a strong uptick in activity around Multi-Asset Class (MAC) investment products and strategies. We see managers across the globe expanding current MAC offerings and introducing new ones; consequently, generating demand for new support around analytic methodologies, data, and technology.

This series explores our view of the MAC phenomenon in depth, from origins to solutions. In our first of three installments, we looked at market and industry trends that seem to be driving the evolution of MAC toward more sophisticated strategies and methods. In this second installment, we examine the MAC investment process itself: What are the methods and practices that successful MAC managers employ, and how do these distinguish MAC from more traditional approaches?

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

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Multi-Asset Class Investing

Multi-Asset Class Investing: Part 1 – Forces Behind a Trend

Meradia has observed a strong uptick in activity around Multi-Asset Class (MAC) investment products and strategies. We see managers across the globe expanding current MAC offerings and introducing new ones; consequently, generating demand for new support around analytic methodologies, data, and technology.

This series explores our view of the MAC phenomenon in depth, from origins to solutions. In this first of three installments, we look at market and industry trends that seem to be driving the evolution of MAC towards more sophisticated strategies and methods.

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

Read Full Article
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