For some advisors, it's the best $50,000 you'll ever spend.
Even the best financial planning firms experience some inefficiencies. Perhaps one factor that separates the "best" firms from the rest is that the former consistently try to identify and eliminate inefficiency, thus improving productivity and profitability.
At a recent meeting of the Alpha Group, a study group that includes many prominent advisors, Christopher J. Cordaro explained how his firm, Regent Atlantic Capital LLC of Chatham, N.J., had targeted "rebalancing" as an area requiring optimization. In partnership with two other firms, Balasa, Dinverno & Foltz LLC of Itasca, Ill., and Kochis Fitz Tracy Fitzhugh & Gott in San Francisco, they had developed a technology solution to the rebalancing problem.
The solution, a software program called iRebal, was built for them by Gobind Daryanani, president of Digiqual Inc. Daryanani, CFP, Ph.D., a consultant who specializes in high-end financial planning tools and technologies, is the inventor of the "Beyond Monte Carlo" simulation method, and the author of "Roth IRA Book: An Investor's Guide." He also developed the Stock Options Risk Analyzer, which is distributed by Brentmark Software.
Daryanani currently is installing iRebal version 1.0 at the three firms. Once that task is accomplished, the partners will begin selling the software on a limited basis to outsiders, at a cost of $50,000 per firm. They plan to offer iRebal to a maximum of five firms in 2005, and possibly ten more in 2006.
Sound expensive? Consider this: Three Regent Atlantic analysts currently spend 50% to 75% of their time monitoring and rebalancing client portfolios on a weekly basis. Once iRebal is fully operational, Cordaro estimates that it will take a single analyst less than 50% of his or her time to monitor the same portfolios on a daily basis. So, at the very least, Regent Atlantic should save the equivalent of the salary and benefits of one skilled analyst, which I'm guessing far exceeds $50,000 in the New York Metro area. In addition, they are getting increased productivity (daily vs. weekly monitoring), better reporting and possibly better rebalancing solutions.
What iRebal Does
The primary goal of iRebal is to rebalance across
accounts at the household level. In addition, iRebal is designed to
help manage cash flows into and out of the portfolio. "Sometimes a
client will make a sizable deposit into an investment account without
informing us, says Cordaro, CFP, CFA, MBA.
Right now, it might take us a few days to identify
the deposit and initiate the trades. When iRebal is fully operational,
we should be able to act faster."
Reporting is another iRebal feature. As a firm
grows, management reports become more important. "I used to be able to
stick my head out of my office and know what everybody was up to," says
Cordaro. "Now, I rely more upon management reports," Cordaro adds that
iRebal's reports provide an excellent audit trail for both internal and
compliance purposes.
Additional features are already being planned. Once the initial installation is complete, Daryanani says he will add features, such as proactive tax-loss harvesting and proactive asset relocation.
iRebal's Core Functionality
The typical "client" of a financial advisor has
multiple accounts. Usually, there is at least one taxable and one
tax-deferred account. If the "client" is a couple, it is likely that
each spouse has one or more taxable and tax-advantaged accounts. Often
additional accounts are involved, but for now let's keep it simple.
Under these circumstances, the most efficient method of managing money for these folks is to treat the accounts at the "household" level; that is, for purposes of asset allocation and rebalancing, create target asset allocations that apply to the combined "household" account, and rebalance at the household level when necessary. This approach should result in fewer, larger trades, which leads to lower overall transactions costs over time. Initially, the more tax-efficient asset classes would be purchased in the taxable accounts, and the less tax-efficient assets would be purchased in the tax-deferred accounts.
For example: The couple owns a small-cap value
mutual fund in three separate accounts, and the value of that fund has
appreciated rapidly versus the rest of the portfolio, triggering a
rebalancing event (a sale of a portion of this particular fund and the
purchase of another portfolio asset). It makes more sense to sell the
position from one account, and make the necessary purchase to one
account, rather than selling a proportionate share of the holdings in
each individual account and making a corresponding purchase in each
account. With a single purchase and sale, only two trades are required.
Using the individual account method, six trades are
required. In addition, under the individual account method, you are
more likely to run into minimum purchase restrictions because the
trades are smaller.
In spite of the fact that "doing rebalancing on a per account basis is costly and inefficient," Daryanani says that many firms are doing exactly that. When asked why, he offers two possible explanations. First, he says, "If you locate assets properly, rebalancing is tough." Daryanani estimates that it takes 18 to 20 minutes to rebalance a typical Regent Atlantic "household" manually. Second, portfolio management software may play a role in the decision making process. "Centerpiece [now Portfolio Center] allows you to create asset allocation targets for households; however the base version of Advent Axys does not. To generate the household information in Axys, I'm told you must buy an additional reporting package that costs in the neighborhood of $15,000."
Setting asset allocation targets at the household level is only a starting point, however. As Daryanani correctly points out, rebalancing is part art and part science. For an automated system to work, it not only has to be rules based, it has to have some "artificial intelligence" built into it. According to Daryanani, iRebal is the only software program on the market that combines a rules-based approach with artificial intelligence.
Daryanani created the intelligence through trial and
error. Each week, he developed multiple scenarios, had the program
generate solutions and then shared the solutions with investment
professionals at the three firms. If the program came up with solutions
that matched the expert's expectations, it was a success. If the
results differed, the rules were "tweaked" in order to generate the
appropriate solutions.
Daryanani says that getting the software to
recognize when not to rebalance was a challenge. For example, if in
order to be perfectly rebalanced you had to buy and sell three asset
classes, but you could get very close to "perfection" by just buying
and selling one asset class, advisors in "real life" would chose the
latter course. After over a year of tweaking, the developers now
believe that the program can generate "real life" results for about 99%
of the cases they handle.
The rules based system has a number of factors that
influence recommended actions. For example, holdings are categorized at
the asset-class level (large-cap stocks), the subasset-class level
(large-cap value, blend or growth), and the individual-holding level
(ABC fund and XYZ index fund). Most advisors would agree that getting
the asset-class weightings right is most important, the subasset class
somewhat less important and, unless there is some specific issue
regarding an individual holding, the individual-holding level is least
important. Hence, the program assigns more weight to asset-class
decisions than to individual-holding decisions.
One of four "flags" can be associated with each
ticker on the sell side: must sell, desired sell, can sell, don't sell.
So, if there is a holding that you don't want to sell due to a zero
cost basis or client instructions, you can code it as such. Buy-side
transactions are usually easier: Most firms have one or two "preferred"
investments for each subasset class. Other factors that influence each
recommendation include taxes, location and transaction costs.
If a rebalancing trigger is tripped, the program
will first rank every possible sale in order of desirability, suggest
the "best" sale(s), then assume you have the cash in a given location
and suggest the "preferred" buys. The software is smart enough that it
knows not to do certain things, such as purchase a muni bond in an IRA.
You can also set rules at the household level so that, for example, if
a rebalancing generates too great a capital gain, the program will
automatically scale back the rebalance to an acceptable tax threshold.
The software itself is surprisingly simple to
operate. It only takes a couple of mouse clicks to launch the program
and, depending on how many accounts are involved and the complexity of
the solutions, the results can be delivered in as little as a couple of
minutes (the subset of Regent Atlantic accounts we worked with during a
live demo comprised about 95 "households" and the results came back in
a little over two minutes).
Users have the option of running all the firm's
accounts at one time or dividing them into smaller groupings. iRebal
can be instructed to alert the user when an operation is completed, so
that they can be productive while awaiting the program's results.
When the program completes its run, the information
can be viewed in a number of different ways. The best way to start is
with the "Client Details" report, which is actually a summary of all
the households. It includes information in spreadsheet form, such as
date of last rebalance, a dollar amount of the positions that are out
of balance, and the implications of a rebalance (gains and losses,
trading costs, and an approximation of the dollar benefit likely to be
generated by the rebalancing). There is also a check box next to every
account so that a trader or manager can approve the rebalancing.
Clicking on any individual "household" brings up a
screen that contains all of the details for that household. This screen
contains parameters for the household, the individual accounts being
monitored, overall positions, a summary of each asset class along with
the recommended trades and much more. In order to get so much
information on a single screen, the developers had to make ample use of
abbreviations. Whenever you need more information, you can hold the
mouse over an item and additional information about the item appears.
When all suggested actions are reviewed and
approved, modified or rejected, the recommended trades can
automatically be uploaded to the custodian(s) for execution.
In Summary
iRebal is expensive, but it could be a bargain for
firms large enough to benefit from its power. For example, if your firm
could potentially eliminate one skilled full-time position by deploying
iRebal, it is almost certainly worth the cost. If it encourages you to
improve on your asset location and tax-loss harvesting, and your
clients achieve better results due to the program's recommendations,
that alone might also justify the cost. As word of iRebal spreads, I
suspect that there will be a waiting list for the limited number of
licenses Mr. Daryanani and his friends will be selling over the next
couple of years.
Joel P. Bruckenstein publishes Virtual Office News (www.virtualofficenews.com). Reach him at [email protected].