ActiveAllocator Business Overview 2020

ActiveAllocator.com, is seeking to enter into an equity swap, revenue sharing or a partnering arrangement with an established financial services company. We now have the world’s first portal that seamlessly integrates traditional, illiquid and alternative investments within portfolios. We help investors analyze existing allocations, discover inefficiencies and create bespoke portfolios in minutes. If you see complementary synergies and understand the Fintech space well, have decision steering authority, do email me in confidence at sameer.jain@activeallocator.com or call me on +1 312 498 1903, NY.
I explain our business in this short video.

 

ActiveAllocator Shelves Growth Plans to Preserve Status Quo

  • This week we have had to take the very difficult decision to put our growth plans on hold, while preserving what we have already painstakingly created. While nothing fundamental has changed in our business thesis, we have, like many other early stage firms, not been entirely immune to the effects of the coronacrisis.  Given the very high costs of ongoing data, technology infrastructure and talent needed to operate what we have built, we no longer have the funding and investment wherewithal to scale and invest in growth. We have had to part with some colleagues, while preserving the absolute minimum core team to sustain and resurrect when opportunity accords in the future.

  • Building and evolving a digital asset allocation platform with technology-enabled customized advice capabilities over four years has been a Herculean task. Our end to end system now includes an investments accounts aggregator, a securities to asset class mapper, a capital markets comparator, a preferences personalizer, a multi-asset optimizer and a trade executor. Over the years we have enhanced our technology infrastructure through proprietary methodology and data-sets to search, recognize, classify and instantly map more than four million traded and non-traded financial instruments to 50 asset sub-classes and optimize their allocation within portfolios. We now have simultaneous optimization capabilities across skills, market exposure, downside risk and illiquidity, scalable across +200,000 portfolios concurrently. We have also added specific country/ market asset allocation models, including customized adaptation for certain emerging markets. Over the years we have surpassed business development targets with around one billion dollars in total portfolio value analyzed, reallocated and monitored across affluent and ultra-high net worth investors. We have also increased market coverage as part of our global expansion. Our efforts have been met with industry & client recognition, over a dozen endorsements, and have been supported by a thoughtful and prestigious advisory board.

  • Our efforts in the months ahead will be directed to preserving the world’s first portal that seamlessly integrates traditional, illiquid and alternative investments within portfolios. When we come out of this crisis we will continue to help investors analyze existing allocations, discover inefficiencies and create bespoke portfolios in minutes. In the days ahead we will continue to leverage our Wall Street experience and academic pedigree to provide unrivaled thought leadership to financial advisors, wealth managers, institutions and individual investors.

  • We thank our departing employees who have brought invaluable complementary asset and wealth management, investment banking and software development skills to our firm. We are grateful for their incredible hard work over the years and for their positive impact. We are also grateful to our product partners, complementary vendors who have enhanced our capabilities, clients, members of our board, supporters and so many others – for we have all created ActiveAllocator together.

 

Sameer Jain and Brian Jones

Cofounders of ActiveAllocator.com

 

 

 

 

 

 

 

Our Latest Regional Equity Valuation Model Captures Coronacrisis Recovery Differences

regional model 1

#ActiveAllocator develops state of art algorithms to capture different rates of coronacrisis recovery within countries and international equity markets. Here is the general design idea. We naturally also include multiple other proprietary dynamic factor drivers specific to coronavirus trackers, which are not shown here.

The objective is to rank the attractiveness of regional equity markets over a 12-month time frame

  • The ranks are based on a composite score
  • The composite score is a weighted average of individual ranks for various factors:
  • Valuation factors include Forward PE, PEG, Price to Book and Yield Gap
  • For each valuation factor we
    • Generate for each region a z-score (current level – 15 year historical average / standard deviation over that 15 year period) .
    • Rank the regions based on their z-scores, in other words based on how far the current valuation is from the historical norm (for most factors a low score ranks highest, but for Yield Gap a larger number ranks highest)
    • Momentum factors include earnings revision breadth and earnings revisions depth. Larger, positive numbers rank highest
    • Use different factors and different weights for developed markets and emerging markets

Strategic Asset Allocation Improvement and Superior Implementation

#ActiveAllocator Research Case Study – We successfully demonstrated to the world’s perhaps most sophisticated Government Investment Fund that our proposed changes to their strategic portfolio could increase annual returns by over 60 bps, while holding risk constant. That’s a non-trivial returns enhancement when you are speaking about hundreds of billions of dollars. Never underestimate the power of Strategic Asset Allocation done correctly.  We further demonstrated concrete steps to enhance their portfolio by approximately 40 bps as described here. Here is a snapshot of one such portfolio sleeve by way of illustration (NDA prohibits us from disclosing specifics).

4-SAA Case Study continued

Recommended Changes in Strategic Asset Allocation Demonstrate Potential to Add Substantial Value

#ActiveAllocator Research Case Study – We successfully demonstrated to the world’s perhaps most sophisticated Government Investment Fund that our proposed changes to their strategic portfolio could increase annual returns by over 60 bps, while holding risk constant. That’s a non-trivial returns enhancement when you are speaking about hundreds of billions of dollars. Never underestimate the power of Strategic Asset Allocation done correctly. Here is a snapshot of one such portfolio sleeve by way of illustration (NDA prohibits us from disclosing specifics).

3- SAA case study

ActiveAllocator Research Drives Locating and Generating Alpha

2- incremental alpha

#ActiveAllocator Research – I was in essence recently asked “Why does ActiveAllocator create public goods by publishing its proprietary research?”. I guess an answer is we are in the business of creating incremental alpha for our clients, and holding on to ideas in a fast moving world is seldom optimal. Here is a visual on how we recently helped a very large public fund – where strategic asset allocation was a small part of our engagement.

Case Study:

Client has an objective to:

– increase returns by 100bps

– lower volatility

– Sharpe ratio of 0.5

Client has made substantial changes to its strategic asset allocation

These changes have the potential to add a great deal of value, although in and of themselves, they will not necessarily meet the above objectives

– Based on ActiveAllocator’s proprietary models, “index-like” returns in each asset  category will achieve approximately 60% of the return objective

To fully meet its objectives, Client will need to

– enhance performance through long-run value-added activities (“offense”)

– minimize ‘slippage’ in the portfolio during the transition period (“defense”)

While accomplishing these objectives will involve connecting a myriad set of puzzle pieces, Client should focus intensively on what may be the most important implementation areas

– enhancing internal alpha generation capabilities

– implementing an alternative investment strategy which maximizes value

– effective portfolio management

Carl Icahn Case Study – Mylan Laboratories

Slide6

#ActiveAllocator Research – Companies are likely to become vulnerable to activist investors during the coronacrisis period. To explain transaction mechanics, activist hedge fund motives and criteria, we analyzed 15 Icahn transactions over the years. We present these in succinct case studies each day on our research blog.

Also, you can derive your own optimal portfolio allocation to activist and other hedge fund strategies on activeallocator.com

Carl Icahn Case Study – General Motors

Slide3

ActiveAllocator Research – Companies are likely to become vulnerable to activist investors during the coronacrisis period. To explain transaction mechanics, activist hedge fund motives and criteria, we analyzed 15 Icahn transactions over the years. We present these in succinct case studies each day on our research blog.

Also, you can derive your own optimal portfolio allocation to activist and other hedge fund strategies on activeallocator.com.

Technology Driven Personalization in Financial Advice

ActiveAllocator’s core growth strategy capitalizes on several long-term industry trends that continue to be valid and even stronger in 2020. One being mass-customization. Technology driven mass customization is affecting many customer oriented industries, driving clients to expect highly personalized services uniquely tailored to their specifications. ActiveAllocator allows the “traditional” advisor to provide a modern digital advice experience. Recognizing that the “market of one” is the new norm, we go far beyond broad meaningless categories such as the wide spectrum of “very conservative” to “very aggressive” investors. Rather, our system is designed to drive the individualization of every aspect of asset allocation, down to the level of a single client.

Customers demand personalization without realizing they are demanding it, as they grow accustomed to companies anticipating their needs and offering what they’re looking for – sometimes before they even know what that is. Retailers and travel companies are using predictive tools and algorithms to exceed expectations, yet digital teams at financial firms have been slow to re-engineer websites and apps to enable highly personalized digital experiences. As consumers become more accustomed to personalized services – from online music selection, to customized exercise plans, to personal shopping, to travel – expectations will further rise. Within the financial advice sector, our approach rapidly exposes the fallacy of the “one size fits all” solution approach – such as those embodied in model portfolios and managed accounts.

Personalized service is going to be a key weapon in advisors’ battle, against competition from and disintermediation by, digital advice platforms. Once investors realize that the same managed accounts offered by advisors can be manufactured in minutes by robo-advisors at a fraction of fees, advisor fee compression is but inevitable. In an era when money can be managed effectively, efficiently and cheaply, ActiveAllocator helps advisors move up the value curve. Marrying our cutting edge fact-based, algorithm-driven predictive analytics with the advisor’s special understanding of the client’s unique circumstances drives superior outcomes. We believe that this powerful combination goes far beyond anything offered by emerging digital financial advice platforms, robo advice and digital investment managers.

 

 

Which Asset Class is Now Attractive For You? Which is Not?

The world has changed in 2020 and so should your investment portfolio. But has it?

Given what you/ your client already owns within a portfolio, should  one own more of a particular asset class? Or less? What is attractive and what is not?The most consequential, and often best decisions, are those that are made at the margin. However marginal decomposition, on a forward- not backward -looking basis within portfolios is easier said than done. While there is much written in the academic literature, one is often hard pressed to arrive at fact based decisions at the moment of making investing calls.

In the past such was often relegated to opinion, conjecture and gut feel. Not anymore. ActiveAllocator calculates it for you in 15-20 seconds.

ActiveAllocator Comparison to Addepar

ActiveAllocator is very inspired by Addepar, and the generous analogy investors now draw. At a closed door briefing I was told ‘one day you will exceed Addepar’. For a struggling FinTech CEO this, I thought was the highest compliment! I looked at similarities and differences between our companies ..here

email me for pdf

 

ActiveAllocator Tech Improvement in 2019

ActiveAllocator is a MIT-Harvard-Technion-Yale -UCDavis alum founded WealthTech startup. We analyze and integrate traditional, illiquid and alternative investments to improve complex portfolios: This actual live screen capture here aggregates customers accounts across +15,000 banks, sources capital market inputs from +10 Wall Street firms, simultaneously analyzes +10 million asset allocations deployed across +4 million securities, within +50 granular asset sub-classes, personalizing target portfolio to +100,000 preferences, whilst executing seamlessly across +20 broker dealer systems. All done in under 2 minutes.