Tag Archives: investing

Before you Decide: How do you Know if you made a Good Financial Decision?

Evidence over emotion. Process over prediction. Better decisions over better guesses.

Image created with ChatGPT by Lowrie Financial

By Steve Lowrie, CFA

Special to Financial Independence Hub

Welcome to Before You Decide, a series about the decisions that shape our financial lives. Each article explores a common financial question through the lens of evidence, behavioural finance, and more than three decades of working with Canadian families. The goal is not to predict the future, but to make better financial decisions with the information available today.

A financial decision can be sensible and still produce a disappointing result. It can also be poorly considered and make money. That is what makes investing so difficult.

Most of us naturally judge our decisions by their outcomes. If an investment rises, we assume the decision was good. If it falls, we assume somebody made a mistake. Behavioural economists have a name for this tendency. They call it outcome bias.

Outcome bias is our tendency to judge the quality of a decision by the result it produced rather than by the quality of the reasoning that led to it. The problem is that luck sits between a decision and its outcome, which means a good result does not always prove that the original decision was sound.

Every important financial decision should therefore be judged twice. The first judgment should take place when the decision is made, based on the quality of the reasoning and the information reasonably available at the time. The second should take place much later, after the outcome is known.

Most investors only perform the second evaluation, and that is where many costly mistakes begin.

Every investor eventually faces two different questions: Did my investment work, and was it a good decision? Those questions may sound similar, but they are not the same.

Why is outcome bias especially relevant today?

A relatively small group of technology and artificial intelligence related companies has recently produced outsized returns. Investors who concentrated their portfolios in some of these companies have been rewarded handsomely, while investors holding broadly diversified global portfolios may be wondering whether diversification has become an expensive form of caution.

We have seen this movie before.

During the technology and telecommunications boom of the late 1990s, a relatively small group of companies dominated both market returns and investor attention. The technologies were real, and many of the companies were genuinely innovative. That did not mean every investment made sense or every price was justified.

The same distinction matters today. Artificial Intelligence (AI) may profoundly change the economy without making every AI-related investment a good decision at current prices.

For a Canadian investor, a concentrated position in AI-related stocks may also involve several overlapping risks. It can amount to a concentrated commitment to one sector, one country, one currency, and often a relatively small number of companies. Those risks may continue to be rewarded for years, but they remain risks nonetheless.

The important question is not simply whether the investment works. It is whether the decision itself was well reasoned, whether the risks were understood, and whether the position made sense within the investor’s broader financial plan.

What are the four possible outcomes of a financial decision?

Every financial decision eventually falls into one of four categories:

A good process combined with a good outcome is what every investor hopes for. You followed a sensible process, understood the risks, and received a favourable result.

A good process followed by a disappointing outcome is more difficult to accept, but it does not necessarily mean the process failed. Good decisions improve the odds, they do not guarantee a particular result.

A poor process followed by a poor outcome is painful, although at least the mistake is visible. Something in the original reasoning can be examined, understood, and improved.

The most dangerous combination is a poor process followed by a good outcome. In that situation, the result appears to validate the decision, confidence grows, and the same choice may be repeated with more conviction and more money behind it. Nothing in the outcome forces the investor to question the original reasoning.

This is outcome bias at its most expensive. A temporary success becomes a lasting lesson for entirely the wrong reason.

Why do investors judge decisions by their outcomes?

Looking at the result is easy. Examining the decision is much harder.

By the time most people make an important financial choice, they have usually considered taxes, investment products, market forecasts, retirement planning, family needs, and competing advice. Mental fatigue encourages shortcuts, and recent performance becomes one of the easiest shortcuts available.

If the investment made money, it must have been a good decision. That conclusion feels natural, but it is not reliable.

I explored this idea in an earlier article about choice overload and decision fatigue. One of the best-known studies in behavioural economics found that shoppers presented with twenty-four varieties of jam were much less likely to make a purchase than shoppers offered only six. More choice attracted more attention, but it produced fewer decisions.

Investors face far more than twenty-four choices. Individual companies, sectors, countries, currencies, investment styles, economic forecasts, and an endless stream of financial commentary compete for our attention every day. When the menu becomes overwhelming, we naturally look for an easier way to judge our decisions, and recent returns become that shortcut.

There is another problem. We examine our losses far more carefully than our successes. When an investment disappoints, we search for mistakes. When it performs exceptionally well, we rarely ask how much of the result may simply have been good fortune.

Success seldom asks us to defend our thinking, which is one reason poor decisions with good outcomes can survive for so long.

How can you tell the difference between skill and luck?

One useful test is to ask whether a skilled participant can deliberately produce a poor result.

In an activity dominated by skill, that is usually possible. A strong chess player can lose a game on purpose because the relationship between skill and outcome is direct enough to control.

Now think about a concentrated stock portfolio over a single year. Could you reliably make it lose money? Probably not. Unexpected news, changing interest rates, investor enthusiasm, government policy, and countless other factors could move the investment in either direction.

That does not mean skill has no place in investing. Skill appears in building a diversified portfolio, managing risk, controlling costs, minimizing taxes, and staying disciplined when markets become emotional. It also appears in knowing what can be controlled and refusing to pretend that everything else can be predicted.

One year’s return therefore tells us far less about skill than most of us would like to believe.

Why is one investment result not enough to judge a decision?

A single investment outcome contains a great deal of noise, while a pattern across many decisions tells us much more.

Researchers at The Wharton School at the University of Pennsylvania studied what happened when a large employer simplified the investment choices in its workplace retirement plan. Participants generally traded less, paid lower investment costs, and held more appropriate portfolios. The researchers estimated that lower costs alone could leave the average participant approximately US$9,400 better off over twenty years.

The participants did not become better investors because they learned to predict markets. They became better investors because the decision-making environment improved.

That distinction matters because better financial outcomes often come from better decision-making processes rather than better predictions.

What does outcome bias look like in real life?

Several years ago, I had a client who decided, against my advice, to sell a diversified investment portfolio and make a concentrated commitment to residential investment real estate in Toronto.

The decision did not happen in isolation. Another advisor was enthusiastically promoting recent real estate returns and presenting the strategy as an opportunity that should not be missed. Like many investment stories built on recent success, it appealed to a powerful fear of missing out. Continue Reading…

Book Review: Rethinking Investing

Amazon.ca

By Michael J. Wiener

Special to Financial Independence Hub

 

I liked Charles Ellis’ book Winning the Loser’s Game so much that I had to read his latest: Rethinking Investing.  It is very short at just over 100 small pages, but is packed with good advice.  Some of it is specific to U.S. tax laws, but most of it is useful for Canadians.

Ellis takes on three huge areas of personal finance.  The first is your portfolio allocation, or what you should invest in.

The second is your savings plan, and the third is your “spending rule,” or how to spend your assets during retirement.

A detailed treatment of these areas could easily run to thousands of pages, so this book is necessarily at a high level.  Ellis wants you to get the broad ideas right, so that you won’t make big mistakes as you fill in the details.

Ellis calls compounding investment returns “your power curve.”  He explains that most of your investment growth comes at the end, which provides motivation to begin early.  Saving is “your first priority.”

Saving

He offers thirteen specific suggestions for saving money, such as use employer matching, automate deductions from pay, invest bonuses, buy preowned cars, consider a smaller house, “self-insure for auto damages under $10,000 — or whatever you can comfortably afford to pay in the unlikely event of a major accident” — and use term life insurance.

Unlike recent popular advice to focus only on big expenses, Ellis says that “Lots of small-expense items can add up and cut your potential savings.”

Investing

Ellis repeats the main themes of Winning the Loser’s Game to explain why low-cost index investing is the way to go.  “The growing market dominance of expert professional investment managers … has made the market harder and harder to beat.”

There are three factors slowing down the “widespread adoption of indexing.”  Referring to index investing as “passive” has negative connotations for most people.  “Nobody wants to be known as passive.”  The second factor is that “most investors find it hard to believe that talented active managers with superb information won’t beat the market.”

These active managers “fought against indexing as though they and their careers were seriously threatened: as they surely were and certainly are!”  The third factor comes from the media, who know “that indexing’s persistent successes would not make for compelling or even interesting copy.”

When investors make active choices on market timing, they tend to perform poorly.  Unfortunately, Ellis points to reports from DALBAR for evidence of this pattern.  While it’s true that retail investors make poor market timing choices on average, DALBAR’s methodology for computing their losses is nonsense.

Bond allocation

Ellis makes an interesting pitch for investors to own more stocks and fewer bonds.  He asks investors to include the following as part of their bond allocation: “home equity, the present value of your Social Security benefits [CPP and OAS in Canada], and your future estimated savings plus any likely inheritance.”

While I think many people would be better off with a lower bond allocation during their working years, I have to push back on the future estimated savings and inheritances.  Maybe government workers can treat future savings as bond-like, those in the private sector have a lot of uncertainty in their future savings.

As for an inheritance, I see huge uncertainty in most cases.  A parent may end up needing the money for elder care, or may give it to someone else, or may have less money than you think.  The money I will leave to my sons is mostly invested in stocks, and they will get what’s left after all my spending.  The amount they will get does not have bond-like attributes.

All that said, if thinking about home equity, government payments, future savings, and an inheritance helps people tolerate the short-term swings in stock prices, then maybe Ellis is right to give this advice, even if it isn’t all technically correct.

Retirement spending rule

Ellis encourages people to think about drawing from their savings in retirement like a university endowment.  “First, average the year-end values of your assets over the prior several years (preferably more than five years) to dampen the impact of market fluctuations.”  Then choose a prudent annual withdrawal percentage, “likely 4–5%.”

“For example, if you settle on a 5% rate of withdrawal and a six-year moving average of the year-end value of your assets, a 30% drop in the stock market would lead to only a 5% reduction in your payout that year.”  This approach offers an alternative to “having a portfolio laden with low-return bonds.” Continue Reading…

How to turn a Little Money into a Lot of Money

Alain Guillot in Cascais, Portugal, a rich neighborhood.

By Alain Guillot

Special to Financial Independence Hub

Learning how you can turn a little bit of money into a lot of money is a great way to get your finances on the right track. After all, this can help with everything from paying off debt and credit card bills to growing your savings.

With that in mind, here are some top tips that you can use to do exactly that!

 

Add money to your savings immediately after getting paid

Don’t wait until the end of the month (i.e., when you have spent all your money) to think about transferring cash into your savings account. Instead, transfer a pre-designated amount of money into your savings account each payday. This way, you are reducing the chances of spending money you’d originally wanted to save!

By regularly adding to your savings account, you put yourself in the best possible position to improve your finances in the long term. When setting up a savings account, make sure you choose one with a great interest rate!

Start investing

Whether you’re going to buy and sell Cyrpto currency or going down a more traditional investment pathway, investing money is a great way to turn a little cash into a lot of cash. This can also be a great way to earn passive income, as a lot of the work is out of your hands once you’ve made the initial investment.

Of course, you should make sure to do plenty of research ahead of time so that you are protecting your best interests as much as possible. Remember, while no investments are risk-free, some are more stable than others, and you should not invest money you cannot afford to lose.

Turn your hobby into a side-hustle

Turning your hobby into a side hustle can also help you to turn your finances around, and could even become a real money-maker over time. While it may not seem that way to begin with, you can monetise just about every hobby. Whether you’re a painter or a writer, you simply need to be willing to put the work in to refine your craft and get your name out there. Continue Reading…

Experts on how investors can use AI tools to invest and plan Retirement

Deposit Photos

Below we canvassed more than 20 retirement experts and financial planners in both Canada and the United States about how they and their clients can use new AI Tools to help investors pick stocks or ETFs and plan their retirement.

These experts were gathered by Featured.com, which has been supplying Findependence Hub with quality content for several years now. It has changed its procedure so that editors like myself can request input on particular topics we think will interest our readership. The sources are all on LinkedIn, as you can see by clicking on their profiles below.

Here’s what we asked:

What is your top recommendation for using AI tools like Grok or ChatGPT to enhance the investing experience or financial planning process for retirement?

Their answers are below, which have been re-ordered by me and in some instances edited down, using an ellipsis (…) to indicate cut passages.

“AI doesn’t replace financial advisors: it elevates investors to think and plan like one.”

One of the most powerful ways investors and retirees can use AI tools like Grok or ChatGPT is to transform information overload into clear, actionable insight not just faster, but smarter. These tools allow individuals to run scenario-based retirement models, stress-test investment ideas against historical data, and translate complex financial language into plain English they can actually act on. What I recommend most is using AI as an always-available financial co-pilot a tool that helps you ask better questions, explore tax and withdrawal strategies, and stay disciplined when emotions run high. Of course, AI should enhance, not replace, professional advice; but when paired with fiduciary guidance, it becomes a force multiplier for better decision-making. The future of retirement planning is not just automated:  it’s augmented, where every person can access institutional-grade research and personalized planning at a fraction of the cost. — Justin Smith, CEO, Contractor+

Use AI for Grunt Work & Routine Analysis

I use AI to handle the grunt work for my finances. It’s great for automating my investment tracking and finding savings opportunities. For my SaaS business, I have ChatGPT audit expenses and run tax simulations. It catches small details I would definitely miss, but I always double-check with my accountant before making any big moves. — Cyrus Partow, CEO, ShipTheDeal

Running a fintech team, I use AI like Grok to track portfolios and summarize complex financial statements. I have it monitoring global trends that might affect Canadian retirement planning. Integrating these tools took some time, but the process is way less stressful now. My rule is to let AI handle the routine analysis while I double-check any critical decisions myself. — Sreekrishnaa Srikanthan, Head of Growth, Finofo

A good way to use AI tools like Grok or ChatGPT for investing and retirement planning is to treat them as helpful guides that explain financial topics, summarize current market information, and assist with planning choices. These tools can make complex financial ideas easier to understand, break down how different investment options work, and help create scenarios based on your retirement goals. You can ask questions to check your knowledge about topics like spreading your investments or tax rules related to retirement accounts, getting clear answers that fit your situation.

These AI tools also provide updated summaries of financial news and alert you to changes that could affect your retirement plans, like new laws or required withdrawals. While they do not replace a human financial advisor’s insight, they give you useful information that helps you talk to professionals with more confidence. Regular use helps keep you informed about your progress and reminds you of important details, making managing your retirement plan easier. — Richard Dalder, Business Development Manager, Tradervue

Use to summarize Market Trends

I work in tech marketing, so I’ve started using ChatGPT to research retirement investments. I’ll have it summarize market trends in telecom or healthcare IT, then cross-check with mainstream financial sources. This saves me hours of initial screening time. My advice is to never act on an AI’s take without fact-checking it first, but it’s a great way to get the lay of the land quickly.  — Andrew Dunn, Vice President of Marketing, Zentro Internet

Use AI as a Personalized Planning Engine

My top recommendation is to use AI as a personalized planning engine. Feed it your retirement goals, income range, expected timeline, and risk comfort. Ask it to build draft scenarios, compare tax-advantaged account strategies, summarize differences between contribution options, or outline the impact of shifting a portion of your portfolio into metals, equities, or fixed income. This gives you a structured starting point before you meet with a licensed advisor.

AI also helps people evaluate items of value they already own. Many Americans keep gold or silver tucked away because they are unsure where to start or who to trust. Ask AI to walk you through how precious metal markets move, how payouts are typically calculated, and what reputable U.S. buyers offer. When people understand what their gold is actually worth, they make smarter decisions about whether to sell, hold, or incorporate it into their retirement strategy.

Using AI this way puts you in control. It speeds up research, cuts through noise, and helps you prepare with confidence before talking to a financial professional. — Brandon Aversano, CEO, The Alloy Market

I work with AI and financial data, and here’s what I’ve found: nobody reads those static retirement planning sheets. We switched to interactive simulations using tools like ChatGPT, letting people play out different investment choices and actually see the results. Engagement went way up. If you’re planning retirement in the U.S. or Canada, this gives you a much better feel for your financial future than any document. — John Cheng, CEO, PlayAbly.AI

Use to plan Retirement and support Financial Literacy

AI tools like Grok and ChatGPT shine brightest in retirement planning when used to simplify complex financial decisions. One powerful approach is creating personalized scenario models: quick projections that show how small adjustments in savings, expenses, or timelines can change long-term outcomes. This turns retirement planning from an abstract, overwhelming challenge into a set of clear, data-driven choices.

Another strong use case is ongoing financial literacy support. AI assistants can distill dense market insights, tax rules, or investment updates into plain-language summaries tailored to an individual’s stage of life. From my experience building learning systems at Edstellar, the real value comes when AI acts as a translator: cutting through jargon and helping people understand the “why” behind decisions. That level of clarity dramatically improves confidence, especially for long-horizon goals like retirement. — Arvind Rongala, CEO, Edstellar

An on-demand Analytical Partner

In my opinion, the best use of AI tools like Grok or ChatGPT when it comes to retirement planning is to enlist it as a personalized, on-demand analytical partner. When you present an AI with your financial data (savings, trajectory, risk profile, retirement age), it has the ability to remit stress testing of your assumptions at a breadth and speed most people will never do for themselves. I have even gone a step further and even asked the AI model to create a variety of long term simulations: good markets, flat markets, inflationary periods, tax shifts, and a few unexpected life surprises here and there. This is when you will feel a much better understanding of what the reality will look like on your retirement path versus static projections.

Where I do think AI can take the planning to another level is the rigor of thinking it is going to force on you. It will find blind spots you didn’t even know to look for, it will challenge your assumptions, it will allow you to show up to your advisor meeting with the potential to be prepared. In the U.S. and Canada—complex situations in retirement planning to say the least, not to mention personal—AI will present a great utility. It won’t replace your financial professional, but it might very well allow you to ask better questions and gain confidence in your decision making. — Kevin Baragona, Founder, Deep AI

AI is NOT a financial advisor

Running a finance team, I’ve found AI like ChatGPT is great for the first pass at retirement planning. It can explain jargon or summarize options way faster than reading a 20-page PDF. But here’s the thing: it’s not a financial advisor. Use it to get the lay of the land, but always talk to a licensed professional before you put any real money in.  — Edward Piazza, President, Titan Funding

Treat AI tools as a Scenario Partner 

One of the most useful ways I’ve leveraged AI tools like ChatGPT and Grok in the investing and retirement-planning process is by treating them as a “scenario partner.” Not a financial advisor, not a spreadsheet replacement, but a way to explore the assumptions behind long-term decisions.

When I was first building Zapiy, I didn’t have the luxury of long planning sessions with advisors. I needed quick clarity on questions like how much I should be contributing, how aggressive my allocations should be, or how different timelines would reshape my retirement targets. What I found was that AI excels at helping you pressure-test your thinking before you make any commitments.

I’d feed ChatGPT a basic profile — income, savings rate, intended retirement age, preferred account types like a Roth IRA or TFSA — and ask it to model a few “what if” versions: what if I increase contributions by five percent, what if I shift to a more conservative allocation in my forties, what if I retire earlier but maintain the same lifestyle? The answers weren’t perfect, but they gave me a clearer sense of how small behavioral changes compound over time.

The real value is that this preparation makes every conversation with a human advisor more productive. You walk in understanding your own priorities, trade-offs, and risk tolerance instead of starting from zero. For many investors in the U.S. and Canada, this hybrid approach — AI for exploration, experts for validation — seems to strike the right balance.

If I had to give one recommendation, it would be this: use AI to sharpen your financial instincts, not to substitute professional judgment. Let it help you see the landscape more clearly so you can plan with confidence and ask better questions when it’s time to make real decisions. — Max Shak, Founder/CEO, Zapiy

Large-language models aren’t crystal balls

With new AI tools, the first impulse is always to ask for a prediction. People want to find the next winning stock or time the market perfectly. I’ve seen this happen for decades with every new wave of technology.

But these large language models aren’t crystal balls. They’re incredibly good at synthesizing information and finding patterns in past data, but they also have a tendency to invent things with absolute confidence.

The hardest part of long-term investing isn’t about finding more data. It’s about managing your own psychology, your biases, and the emotional urge to react to every bit of market noise. This is where AI’s real, and more subtle, value comes in.

My top recommendation is to stop treating these tools like an analyst and start using them as a sparring partner to challenge your own thinking. Instead of asking something simple like, “What are the best Canadian dividend stocks for 2025?”, give it a much more powerful prompt.

Try something like this: “Act as a skeptical financial advisor. My plan is to invest 30% of my retirement portfolio in Canadian dividend stocks for income. Poke holes in this strategy. What are the biggest risks I’m ignoring, what behavioral biases might be at play, and what alternative approaches should I consider?”

What this does is force the AI to act as a “red team” for your own ideas. It uses its vast knowledge of economic principles and market history to find the flaws in your logic before you commit real capital.

This reminds me of a brilliant young engineer I once mentored. He had designed this complex, theoretically perfect trading algorithm and was in love with its elegance. Instead of telling him it would fail, I just spent an hour asking questions.

What happens if this data source is delayed by two seconds? How does the model behave in a flash crash? What’s the single point of failure? He came back two days later and scrapped the whole thing, starting over with a simpler, more resilient design.

The AI can be that patient questioner for you. True financial security isn’t built on finding the perfect answer, but on developing the wisdom to question your own. — Mohammad Haqqani, Founder, Seekario AI Job Search

Use for Stress Testing Assumptions

My top recommendation for using AI tools like Grok or ChatGPT to enhance retirement planning is not to use them for advice, but for stress testing assumptions. Never take financial advice from a large language model. That is a path to financial ruin. Instead, use the AI to aggressively challenge the core numbers you are already getting from a human financial advisor.

The effective use is feeding the AI a series of complex, negative scenarios based on your existing US or Canadian retirement plan. Ask the AI: “If inflation averages 5% over the next ten years, and my portfolio only returns 4%, where does the system fail?” or “If I move to a high-tax state and health care costs double, how does the plan survive?”

This approach works because it turns the AI into a powerful, objective risk auditor. It exposes the hidden vulnerabilities in your human-designed plan without the emotional filter of your advisor. This is the only high-value application: using AI to force clear, honest conversations about competence and failure points in your retirement strategy, ensuring you have the strongest system possible. — Flavia Estrada, Business Owner, Co-Wear LLC

Use to get a head-start on when to retire

Use AI tools like Grok or ChatGPT to get a head start on how to retire. These services will evaluate the state of your finances and most can administer a wide array of retirement and other accounts then recommend investments that fit your criteria. They demystify complicated financial subjects. They can help you with budgeting, monitor progress and shift plans as markets change. Ask questions in a frame where hopefully will receive clear and good advice. Bots driven by AI help save you time, reduce mistakes and change the way you think about money. It makes retirement planning much simpler and more straightforward. — Keith Sant, Founder & CEO, Kind House Buyers Continue Reading…

The simple strategies that set you up for Retirement Success

By Dale Roberts, CutTheCrap Investing, Retirement Club

Special to Financial Independence Hub

More Canadians feel nervous and unsure about retirement. About 60% of Canadians feel they will outlive their money. I’m here to bring good news. There are a few, simple strategies that will set you up for retirement success. If you read the retirement experts, if you watch all of the wonderful Canadian advice-only financial planners’ YouTube videos, you’ll notice they all repeat the same core strategies. It’s a version of going around the internet and back. Eventually you can stop and realize ‘wow, this is easier than I thought’. It is a good feeling when you discover that creating a successful retirement plan is not that difficult, at all.

Let’s assume that you’ve done most everything right. You’ve read The Wealthy Barber books. You need to pick up another one, and ask your kids, nieces and nephews to read it, as well.

 

I condensed my financial planning book down to 1200 words …

Oh look, I just found $888,000 in your coffee.

Dave needed 250 pages this time. 😉

You paid yourself first, you invested successfully, on a regular schedule, in a low-fee manner (stocks and ETFs).

How much do you need to invest to become a millionaire?

You cleared your debt, good debt and bad debt. You got the house purchases right, you got the car purchases right. Perhaps you’re entering retirement with no mortgage and no vehicle payments (not a bad idea). You have or had proper insurance, created a will, etcetera, etcetera. If need be, you took advantage of the Spousal RRSP account.

You’re in very good shape.

The retirement basics

Now on to the simple core strategies that will set you up for a successful retirement. You’ve been a very successful DIY investor in the accumulation stage. You might create your own retirement plan. With some research and the retirement tools available, it is certainly ‘doable’ for most Canadians.

And that’s why we started Retirement Club for Canadians.

If you want more help or a second opinion you can certainly contact an advice-only planner. Yup, those same folks who (many of them) offer the advice for free in blogs and via video channels. You can pay a one-time fee, there’s no need to have an advisor in your pocket every day. You’ll receive conflict-free advice, they are not attached to any poor performing Canadian mutual funds, ha. 😉

Retirement Cash Flow Plan

You’ll use a free-use or very affordable retirement cash flow calculator to discover an optimized, tax-efficient spending strategy. There’s comfort in seeing and knowing that your money is going to last.

Delay CPP and OAS for greater payments

Most Canadians (many planners suggest it’s almost all Canadians) will benefit if they delay The Canada Pension Plan (CPP) and Old Age Security (OAS) payments. From age 65 to age 70 you’ll receive a 42% boost to your CPP payments and a 36% boost to your OAS payments.

The retirement cash flow calculator will show you the way. It’s different for everyone, of course. To enable the delay of those government monies (let’s call those pensionable earnings), you’ll enact the RRSP meltdown strategy.

The RRSP / RRIF meltdown. A Canadian retiree’s greatest hack?

You’ll spend down your RRSP / RRIF in an accelerated fashion early in retirement to provide a bridge as you await those larger pension-like earnings from CPP and OAS.

The flexible cash flow plan

You’ll embrace a variable withdrawal strategy. The retirement cash flow calculator will show you that a flexible spending plan offers a much higher success rate compared to a static or rigid plan. For example, you might set a desired spending range of $90,000 – $100,000 annual after taxes, compared to a rigid $100,000. If we enter a severe recession and market correction you’re OK to spend a little less.

The investment returns and life events will shape your retirement plan over time. We will certainly evaluate the plan every few years.

The U or You-Shaped spending plan

Speaking of life events, out of the gate you might start with a U-shaped retirement spending plan.

Of course, we build the cash flow plan around your life plans, and the life you want to live in retirement. You might embrace and plan for a U-shaped retirement plan.

  • Spend more in the early go-go years
  • Spend less in the mid slow-go years
  • Boost spending in the no-go years

Spend more when you have your health and energy. Be prepared for surprisingly high healthcare and residence costs in the late-in-life stage.

Income splitting, sharing is caring

When you run a retirement calculator you might be shocked by the low-tax environment you are entering if you are ‘with spouse’.

To lower the tax burden you can split employer pensions, RRIF amounts and even CPP in some situations. Income splitting with strategic use of your RRIF, TFSA and Taxable accounts can enable a ridiculously low effective tax rate for many Canadian retirees. Continue Reading…