Informed Investors: Research That Doesn't Waste Your Time
We publish when we have something worth saying — not on a content calendar. Every piece below addresses a real question our clients or prospects have raised. No filler, no thought leadership for its own sake. If you want weekly market recaps repackaged from Reuters, there are a thousand newsletters for that. This isn't one of them.
Featured Research: Real Questions From Real Clients
Each article originates from a conversation with a real client or prospect. The questions are specific. The answers draw on our proprietary models, Dr. Elaine Cheung's AI research pipeline, and over a decade of working with owner-operated businesses across British Columbia — from grain traders in Dawson Creek to demolition operators in Surrey. If an article doesn't change how you think about a decision you're currently facing, we haven't done our job.
Your Portfolio Doesn't Know You Own a Business — And That's Costing You
Most investment portfolios are built as if the client earns a steady salary. For business owners, this mismatch between portfolio design and actual cash flow patterns leads to forced selling, missed deployment windows, and chronic underperformance. A trucking company owner whose income swings $400,000 between quarters needs a fundamentally different framework than the dentist contributing $5,000 monthly. Three real-world examples — including Pacific Prairie Grain Corp.'s $197,000 annual improvement — demonstrate how cash-flow-aware modeling changes outcomes when the model learns your business's actual rhythm.
8 min read
The $40,000 Question: What Fragmented Accounts Are Really Costing Family Businesses
Business owners accumulate accounts the way garages accumulate tools — one at a time, from different sources, with no organizing system. One client had seven accounts across three institutions with nobody coordinating them. The five most common hidden costs: overlapping holdings that double your exposure to the same risks, MER stacking that compounds silently, missed tax-loss harvesting windows, contradictory mandates between advisors, and advisory blind spots where nobody sees the full picture. Since 2018, our multi-account consolidation service has identified $2.3M in fee savings across our client base.
6 min read
AI in Investing: Separating the Signal from the Sales Pitch
Every fintech product now claims AI. Most are basic statistics in a trench coat — to borrow Dr. Cheung's phrase. A plain-language framework for business owners evaluating AI-driven investment tools: what questions to ask about training data and validation methodology, what to look for in methodology disclosures (and what it means when they're absent), and the red flags indicating "AI" is marketing veneer over conventional mean-variance optimization with a chatbot bolted on top. Written so you don't need a computer science degree to protect yourself.
10 min read
"Marcus could explain everything the model recommended in terms I understood. No jargon, no hand-waving. When the market dropped in 2022, our drawdown stayed below 8% while friends of mine were down 15–20%."
Eileen Nakamura, Director, NorKai Holdings, Richmond, BCPlain-Language Glossary: Finance Terms Without the Condescension
Finance buries important ideas under jargon. We refuse to operate that way. Every term below is one you might encounter in our reports, conversations with our team, or the broader market — defined in language that respects your intelligence without assuming a CFA charter. Bookmark this page. We update it as new terms become relevant to our clients' decisions.
What We're Investigating: The Problems Driving Our Research Agenda
Our research agenda is driven by the problems our clients face — not by academic curiosity alone. These are the themes Dr. Elaine Cheung's AI research team is actively exploring, each one originating from a real gap between what the investment industry offers and what owner-operated businesses actually need. When a research thread produces actionable results, it becomes a service. When it doesn't, we shelve it — no matter how intellectually interesting it was.
Cash-Flow-Aware Allocation
How recurrent neural networks can learn a business's unique revenue rhythm and dynamically adjust investment timing — month by month, not quarter by quarter. The thesis: portfolios for business owners should never assume steady contributions. The proof of concept came from Pacific Prairie Grain Corp., where 11 years of transaction history trained a model that improved the Sharpe ratio from 0.42 to 0.91. We're now extending this framework to handle multi-entity corporate structures where cash flows between operating companies and holding companies.
NLP for Regulatory Monitoring
Training natural language processing models on Canadian securities filings, SEDAR+ disclosures, and earnings transcripts to surface material language changes within hours — not days. Our stakeholder engagement matrix identifies which filings affect which client portfolios, so alerts are targeted rather than overwhelming. In Q4 2025 alone, our NLP monitoring flagged 14 new or amended regulatory provisions affecting residential care operators — three of which directly impacted facility operating margins for clients in that sector. Read more about how this works on our markets page.
Multi-Stakeholder Decision Models
Monte Carlo frameworks that model competing risk preferences across family members as simultaneous constraints — turning "we can't agree" into Pareto-optimal allocations. Our conflict resolution facilitation approach is data-driven, not diplomatic. The Fraser Valley Brewing Collective engagement proved the concept: four families, fourteen months of deadlock, resolved in six weeks through 50,000 simulated scenarios. We're now extending the framework to handle succession buyout structures where generational risk tolerances diverge sharply.
CapEx Timing Intelligence
Gradient-boosted decision trees applied to fleet replacement, equipment acquisition, and commercial property decisions. We're integrating disaster recovery frameworks into capital planning models — because business continuity and investment timing are inseparable. For freight operators, the EV transition timeline has moved the break-even point for Class 8 electric trucks in BC from 2031 to late 2028, making next-cycle powertrain choice a narrowing decision window. Our models incorporate federal rebates, BC Hydro commercial rates, diesel pricing, and Ritchie Bros. auction data to recommend unit-by-unit timing. See our sector signals for current CapEx trends.
Capability Maturity in AI Adoption
A capability maturity assessment framework for family businesses evaluating AI-driven investment tools. Where to start. What to adopt first. What to ignore entirely. Our resource utilization tracking shows where AI delivers measurable value and where it wastes time and money. This research directly informs the onboarding process described on our services page — we meet clients where they are technologically, not where we'd like them to be. The framework has three tiers: foundational (consolidation and fee analysis), intermediate (cash-flow-aware portfolio construction), and advanced (custom NLP monitoring and scenario planning).
Alternative Investment Due Diligence
NLP-powered parsing of offering memoranda — comparing fee structures and waterfall provisions against a database of 2,400+ Canadian alternative offerings. The AI flags what's unusual. Humans decide what matters. This research stream has already saved individual clients five-figure sums: Ranjit Sidhu of Sidhu & Sons Transport avoided $86,000 in exit penalties from a single offering memorandum review. We're expanding the database to include US-domiciled offerings marketed to Canadian investors — an increasingly common cross-border complexity.
"Most vendor AI products are a logistic regression wearing a trench coat."
Dr. Elaine Cheung, Director of AI Research, IA InvestmentsConcrete Deliverables: What Our Research Produces for Clients
Every piece of research translates into concrete deliverables for our clients. We don't publish for prestige — we publish because the analysis proved useful enough to share. Each deliverable type below has been refined through hundreds of client interactions since 2013, shaped by the feedback of business owners who have no patience for reports that look impressive but don't change decisions.
Investment Research Reports
Deep-dive analysis on specific sectors, securities, or market conditions relevant to BC's owner-operated businesses. Each report includes a plain-language "So What?" section — because a brilliant analysis nobody understands is worth exactly nothing. Reports cover themes like the ones explored on our markets page: freight fleet economics, agricultural commodity timing, residential care regulatory shifts, and construction equipment depreciation curves. Every recommendation identifies where the model is confident and where it isn't — and where human judgment from Marcus Redfield or Naveen Kaur overrode the algorithm's output.
Fund Fact Sheets
Concise performance and risk summaries for the strategies we recommend. Updated quarterly with data as of the most recent quarter-end. Every metric accompanied by context: what it means for your specific situation, not just what the number is. We include Sharpe ratios, maximum drawdown figures, and benchmark comparisons — but also a narrative explanation of what drove performance that quarter. A 7% return means something very different when it came from a calm trending market versus a volatile recovery. We explain the difference.
Due Diligence Packages
Comprehensive AI-parsed analysis of alternative investment offerings — syndicated mortgages, limited partnerships, exempt market products. We flag unusual terms, conflicts of interest, and structural risks before you commit capital. Each package compares the offering's fee structure and waterfall provisions against our database of 2,400+ Canadian alternative offerings, highlighting where the terms fall relative to market norms. Available as a standalone project engagement — typically $1,500–$4,000 depending on document complexity. One review saved a client $86,000 in exit penalties they would have discovered only when trying to leave.
Account Statements & Fee Analysis
Cross-account mapping reports that show what you own, what you're paying, and where overlap exists across every institution. Our consolidation audits have identified $2.3M in fee savings for clients since 2018 — individual results ranging from $8,000 to $52,000 annually depending on account complexity and existing MER loads. Each report includes a portfolio coherence score that quantifies how well your accounts work together as a unified strategy versus a collection of disconnected decisions. Tomasz Wójcik builds custom real-time dashboards for clients who want ongoing consolidated visibility across institutions.
Get Our Research — When It's Worth Reading
We publish 4–6 times per year. Unsubscribe anytime. No spam, no drip campaigns, no 12-part email sequences designed to psychologically nudge you toward a sales call. Just original analysis from a team of six people who would rather say nothing than say something empty. Every publication addresses a real question raised by a real client or prospect — the same research that informs our investment strategies and market commentary.
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Have a Question About Something You've Read?
Our research raises questions — that's the point. If something sparked a thought about your own portfolio, business, or family situation, we'd rather have that conversation than leave you guessing. No pressure, no pitch. A real person — typically Priya Dhaliwal or Marcus Redfield — responds within one business day. If your question requires deeper analysis, we'll tell you honestly whether it's a quick answer or something that warrants a project engagement.