5 MSCI GLOBAL DATA STANDARDS FOR REAL ESTATE INVESTMENT
Today, performance information about
private real estate investments often remains
relatively opaque, and the timely measurement
requires multiple layers of private data to be
passed between owners, managing agents,
accountants, valuers, and analysts, on an
increasingly frequent basis. The impetus for
this interchange is being driven by increasing
regulatory demands from bodies such as
the International Organization of Securities
Commissions (IOSCO), and more specific
regulations including the European Parliament’s
Alternative Investment Fund Managers Directive
(AIFMD). The current lack of consistent global
data standards for real estate investment
performance means that, even at the country
level, parties involved do not always use the
same language and often store data in their
own bespoke systems, with little transferability.
The end result is often inconsistent comparative
measurement and substantial investments
in time, money and effort spent on data
calculation, collection, and management tasks
at every stage of the investment process.
The Data Standards have been developed to
provide the real estate industry with improved
comparability across markets and asset
classes, and overcome information exchange
challenges. The potential benefits to investors
include better informed decision-making
through enhanced cross border and cross
asset class comparability and improved data
quality and quicker availability of performance
results, due to process rationalization
BETTER INFORMED DECISION MAKING
Enhanced consistency, across real estate
markets and other asset classes, will
contribute to improved decision making.
Below are some examples:
• Consistent within- and cross-asset class
strategy development and portfolio
construction. Better informed allocations
will be possible owing to an improved
alignment of return calculations,
standardized market and sector reweighting
procedures, and globally consistent
currency conversion processes. At the same
time, like-for-like assessment of real estate
market cycles will be possible as a result of
more comparable yield and rent measures.
Globally consistent geographic and property
type classifications will improve the
comparability of market segments between
countries. Operational metrics like vacancy
rates and net operating costs will be
compared and projected more consistently
across markets.
• Consistent within- and cross-asset
class benchmarking: The availability
of robust cross border indexes that are
appropriate for benchmarking private real
estate investments independently, or in
combination with indexes from other asset
classes, will grow.
IMPROVED DATA QUALITY AND QUICKER
AVAILABILITY OF PERFORMANCE RESULTS
Through broad agreement on performance
measures and definitions, the quality of real
estate data is also expected to improve.
By removing some of the ambiguity and
heterogeneity in local or national market
practices, the Data Standards will potentially help
to reduce discrepancies in the way measures are
calculated across markets, and result in greater
confidence in the underlying data.
BENEFITS OF ADOPTING THE DATA STANDARDS