Perspectives

The risks and challenges presented here within are a sample of factors to consider when evaluating self-service reporting functionality. At the outset, providing electronic access to data seems simple. Layering increased data scrutiny by end-users with regulatory expectations that mimic those included on printed, scripted and static reports is complex. Identifying your firm’s specific challenges and charting a course to overcome them is a worthwhile, rewarding endeavor that will improve relationships with your clients. Meradia has a long history of helping clients with reporting challenges – including self-service reporting.

The operations arms of Insurance Investment Managers are experiencing increased activity. With challenges mounting from increased customer expectations, a challenging regulatory environment, and a divergence in the quality and quantity of data between front and back offices; Insurance Investment Managers are looking for new solutions. The software landscape is quickly evolving as the impetus for change has reached critical mass.

During the past two decades, we’ve observed many investment managers, including insurance companies, painfully and expensively deploy human capital rather than address technology gaps to solve their operational challenges. Failure to keep applications and related infrastructure current drives up costs. As firms seek change, experienced resources can dramatically improve outcomes.

by Laurie J. Hesketh, CIPM, PMP, Managing Director
and Lou J. Quattrucci, Director of Sales & Marketing

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

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

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