Is Your Money Safe? Risk Management Blindspots That Cost Investors
Dearly
Both retail
and institutional investors who have survived one or more economic recessions
have learned that they cannot select their money managers solely on a
demonstrated stream of at or above benchmark returns and that they need to
include the underlying risk of their investment portfolio in the formula that
calculates expected future value. However, the risk denominator in portfolio
management analytics may be underestimated or misestimated because of the
following three industry problems:
1. The traditional view of risk is disaggregated
The
traditional view segregates risk into market, credit and operational. In most
organizations, both public corporations that issue equity and debt to investors
and privately-held asset managers that oversee investors’ money, the various
aspects of risk are managed separately.
For example, in some typical organizational structures, the Investment
Officer is responsible for market risk; the Treasury Officer or CFO for credit
risk and the COO for operational risk.
Each analyzes and synthesizes risk separately and reports his findings
to the Board or Management Committee, leaving them baffled to make sense of the
holistic picture. However, risk is not
additive or linear and often hot spots in one area may cause undetected issues
in other areas.
Market,
credit and operational risk were interrelated in one of the most notorious
examples of risk mismanagement — AIG’s failure to meet its liquidity
obligations which led to $170 billion government bailout. AIG was heavily involved in writing CDS with
its exposure at the height reportedly reaching $440 billion (market risk),
which exceeded what the company could pay in claims when the MBS it insured
defaulted leading to a liquidity crunch (credit risk). Additionally, there were signs of inherent
operational risks: AIGFP was a minimally regulated and separate hedge fund that
leveraged the credit rating of the holding company to place big bets with
little reserves. Each one of these issues separately did not pause “crash the
car” risk, but in aggregate the market, credit and operational risk factors of
AIG could have been lethal to the
company and the economy safe for the subsequent government bailout.
2. Regulators are approaching the industry reactively
Significant
regulatory tightening ensued after the 2008 mortgage crisis. According to some critics, regulators may
potentially be looking at risk far more reactively by focusing on the problems
that have already manifested than proactively identifying new risks that could
cause the next business failure. For example, the Financial Stability Oversight
Council (FSOC) so far designated three US financial institutions as
Systemically Important Financial Institutions (SIFIs) – GE , Prudential and AIG and imposed on them increased capital
requirements. However, the FSOC does not
consider large asset managers to be SIFIs. There is some merit to the logic
that asset managers do not require as strong of a balance sheet since they do
not own the assets they manage and pass through the downside risk to their investors. Yet, it could be argued that the asset
managers’ aggregate risk and that their investment processes and technology
infrastructure pause systemic risk. For
example, over a trillion dollars of passive investments including the iShares
brand are managed on Blackrock ’s technology platform Aladdin. It is not hard
to foresee the dramatic impact of a major failure of Blackrock’s platform on
the US and global economy.
3. Operational risks is not adequately represented
To manage market risk better, most investors
are well aware of basic portfolio hygiene principles including the value of
diversification, the importance of looking at volatility driven asset
correlation, rebalancing, the criticality of subtracting leverage when
assessing quality alpha, the value of protecting for inflation through IL bonds
or inflation-hedging assets such as real estate. I would argue that operational
risk is as big if not a bigger driver of financial loss as market risk.
According to Phillipa Girling, a leading expert on operational risk and author:
“operational risk in the headlines in the past few years” is hard to ignore:
Notorious examples include “egregious fraud (Madoff, Stanford), breathtaking
unauthorized trading (Société Générale and UBS), shameless insider trading (Raj
Rajaratnam, Nomura, SAC Capital), stunning technological failings (Knight
Capital, Nasdaq Facebook IPO, anonymous cyber‐attacks), and heartbreaking
external events (hurricanes, tsunamis, earthquakes, terrorist attacks).”
(Operational Risk Successful Framework).
Inadequately managed operational risk costs investors, corporations and
tax payers billions of dollars:
Madoff’s pyramid reportedly cost
investors $18 billion and the 2008 government bailout cost taxpayers $700
billion. (New York Times Archives)
If the
impact of operational risk is undoubtedly large, why do otherwise savvy
investors often disaggregate or even completely miss operational risk from the
overall expected value analytics of their portfolio and inadvertently accept
more risk than they are comfortable with? Part of the problem stems from a lack
of a well established methodology to clearly quantify operational risk and
integrate it into portfolio management.
Imagine
creating a unified industry-sponsored score for operational risk similar to a
credit score or Moody’s bond ratings, which takes into consideration
the fundamental elements of operational risks – people, process, technology,
and external events, and quantifies them.
That score would then be clearly available for investors along with the
returns and market risk of the portfolio leading to a far more accurate
valuation. Significant progress toward accountability and transparency could be
made if operational risk were to be demystified.
How can investors make safer investments?
What could
investors do in an environment of confusing regulatory requirements and limited
transparency around operational risk?
For starters, Investors can raise their awareness and employ
alternatives to address the information asymmetry in the following ways:
1. Select asset managers that demonstrate commitment to
operational risk management
Certainly
some asset managers understand and are willing to invest in operational excellence and
risk management. For example, in the
2014 Review of the Asset Management Industry, the Boston Consulting Group
provides an overview of the shadow model where an asset manager can use two
counterparties to manage their middle and back office. At Bridgewater
Associates, I co-led the implementation of such a model where the firm aimed to
create greater transparency, switchability and stay ahead of the regulatory
bodies by outsourcing its back and middle office to both BNY Mellon and
Northern Trust. FundFire published an article, Bridgewater Divides Industry
with Latest Deal, describing the benefits and open questions about the model.
It is still early to say whether the industry will embrace this model more
broadly. Similarly to gain an operational excellence edge, Citadel and
Tudor invested in a custom-built straight-through
processing systems that integrate the trading platforms with the post-trade
processes creating greater transparency and reliability. Both are aiming to
commercialize their technologies and make these available to smaller money
managers who may not be able to afford a large in-house technology development
team.
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