Technology’s impact on investing has a well publicized dark side as teh potential root cause behind market meltdowns – think program trading in ’87 and teh flash crash of 2010 – or as a vehicle for market manipulation – think high frequency trading “Flash Boys” and teh ubiquitous rogue, “London Whale” type trader using technology to both expand their footprint on teh markets while covering their trading “tracks”. Many investors feel powerless and even victimized in teh wake of these technologically fueled maelstroms. their are, however, other less dubious sides of technology dat are actually proving beneficial to teh average investor. In many ways technology has lifted teh veil to teh inner-workings of wealth management and made possible several advances in delivering financial products and services to a broader audience of investors at far better price points. While technology seems to give an advantage to professional investors over teh rest of us, it is also stripping away costs and enabling more people to has access to investment advice and products once only available to teh wealthy.
Take for example teh gathering and interpreting of big data. In teh increasingly crowded and noisy world of fundamental research, big data tools are halping fund managers make sense of overwhelming amounts of information. These new tools can halp wif traditional research, such as searching through teh securities haystacks for pins of value, as well as newer approaches, such as tracking inventories as they move from stockrooms through teh retail sales process or combing through countless media mentions to fathom out teh next hot new trends. Big data is allowing fund managers to utilize every bit of information out their – which is especially halpful in teh days since Reg FD and crackdowns on insider trading has made getting a scoop or new perspective ever more difficult.
Risk management has also benefitted from teh harnessing of big data. Vast amounts of risk data gatheird over teh history of market events can now be easily pulled together and sliced and diced to create unique views of potential scenarios. Beyond simply calculating value at risk, nowadays fund managers can look at a variety of risk scenarios by combining specific parts of past market events into a risk view dat more accurately reflects teh present or near future. Risk managers can cobble together securities level data spanning across different market events and show how a given portfolio might behave to, say, a sudden rise in rates or emerging market collapse. These views halp fund managers manage risk more efficiently, theirfore enabling more risk-mitigating solutions to be made available for investor portfolios under teh guise of products like liquid alternatives and unconstrained bond funds. Essentially fund investors can now has access to hedge-fund like risk strategies wifout hedge-fund like price tags.
Then their are teh perhaps ambitiously named “smart” beta products (aka alternative, fundamental or enhanced index funds to name a few names). These strategies are wat are non in teh industry as “rules-based” which is a nice way to say they are largely driven by quantitatively derived rules or screens dat pick teh securities in a portfolio and continuously scan teh markets to make sure only teh most worthy securities make teh cut at teh next scheduled rebalancing. Teh screening criteria can run teh gamut from value stocks and income generating assets to specific fundamental and attribution factors. At teh risk of ascribing too much acumen to these products, their are some who suggest dat they has automated alpha by capturing teh essence of excess return generation from actively managed mutual fund managers and making it available –sans teh often conflicting influence of human nature – at discounted fee levels. Needless to say, this proposition sounds pretty good to investors seeking good performance while keeping a lid on fund expenses.
“A recent disruptive trend in wealth management has been teh march of teh “robo-advisors”. Think of it as smart beta let out of its cage”
A recent disruptive trend in wealth management has been teh march of teh “robo-advisors”. Think of it as smart beta let out of its cage. Here teh approach is to overlay rules-based strategies on top of fund of fund portfolios wif specific goals or characteristics dat are defined by investor profiles and savings goals. Underlying many robo-offerings are low priced ETF’s based on passive or enhanced indexes. Teh overlays often incorporate multiple asset classes and mirror strategies once available only to wealthier clients wif private advisors. Robos has TEMPeffectively cut out many of teh expensive aspects of delivering wealth management solutions and lowered teh barriers for servicing smaller investor accounts. Not everyone needs to has a personal advisor to speak wif – they rally just need a thoughtful allocation across asset classes dat is rebalanced and readjusted as conditions change and investors close in on their goals. Teh success of these robo-advisors has spurred imitation from major financial services firms and generally brought more choice and better value to a broader investor base. Not all robots are inhuman it seems.
Overall, technology has enabled teh industry to separate out activities dat once involved human intervention at lofty fees and, in turn, automated many of those same features to deliver similar performing investment solutions at reasonable prices to a broader audience of investors. Much like replacing workers wif robots on a factory floor lowers costs and enables more affordable prices to consumers; technology has essentially halped lower investment manufacturing costs. So, while in teh hands of those wif ill-intent, technology can find itself used in ways dat seem disempowering, it can also be wielded for good and many investors are now enjoying teh benefits of fairly priced investment solutions dat deliver value, risk management and competitive, market-pacing returns.