
While artificial intelligence tools may replace ‘limited scope’ advice, advisers must do more to stay relevant.
Applications enabled with generative artificial intelligence capabilities may soon become the leading source of retail investment advice. Deloitte forecasts usage shooting up from about 10% in 2024 to 78% by 2028.
This might seem like a scary number for financial professionals, but Deloitte notes that investors’ usage of financial advisers will only drop by about 4%.
In other words, generative AI won’t replace financial advisers altogether. But it may replace “limited scope” advisers—those who only give investment or transactional advice.
That means that to stay relevant, advisers should ensure that they offer more than this limited scope and include holistic, comprehensive advice.
The term more carries a lot of weight here and may not be too helpful on its own. In our research, we defined this term by asking investors what they value in a financial adviser using different measurement strategies.
What we found is good news for advisers. It turns out that much of what investors value in a financial adviser still cannot be fully replicated by generative AI.
In the diagram below, we illustrate what this looks like.
Although generative AI has immense potential in the financial advice sphere, our research indicates that investors greatly value the soft skills that a good financial adviser can bring to the table. Generative AI does a great job of spitting out answers, but it still can’t replicate the social connection inherent in good adviser-client relationships and the quality of advice that can result.
To differentiate themselves from generative AI applications, advisers should consider devoting more time to building a strong relationship with clients—and maybe even using gen AI to free up more time to spend with clients.
One way to demonstrate your interest in their specific needs.
Every adviser, no matter how experienced or successful, has had to deal with an unresponsive client.
You may have pulled out all the stops—sending them a reminder email, shooting them a text, giving them a call, or even mailing them a handwritten letter—all to no avail.
Whether the client was always a bit flaky or has slowly disengaged over the years, advisers may feel like they’re at a loss. If you can’t reach a client, how can you make amends and improve your relationship to help reengage them?
To state the obvious, it would be great to understand what is prompting the lack of responsiveness so you can intervene accordingly. Unfortunately, this is close to impossible given that the client is not responding.
This doesn’t mean that all hope is lost—it just means we have to calibrate our expectations accordingly. Chances are that a client’s unresponsiveness has nothing to do with you and is entirely out of your control. The client may be going through something personal and can’t bear to think about their finances. Who knows?
That said, there’s a chance that the client just needs more of a nudge to reengage with their finances and with you. With this level-setting in mind, one place to start is to change the type of messaging you’re sending to this client. This means incorporating the softer side of financial planning.
In our research, we find that investors value advisers not just for their expertise, but also for more psychologically driven reasons. That means investors valued an adviser who helped them better understand their financial goals, made them feel like they had a partner to navigate financial decisions with, and gave them the peace of mind to sleep better at night.
Given these findings, advisers can rework their communication to unresponsive clients in a way that shows the ability to provide the type of advice that can convey these emotions. This task may be easier said than done, so we recommend relying on ready-made exercises that are easy to send via email.
One place to start is by sharing a three-step checklist that we created to help people uncover their true financial goals. Step 1 asks investors to write down their top financial goals off the top of their heads. Step 2 presents investors with a master list of financial goals and asks them to consider each one. Step 3 instructs the client to write down their top three financial goals again, considering their initial answers and the goals in the master list. The key to this exercise is the use of a master list, which aids investors’ decision-making when trying to identify their financial goals, which is a more difficult decision than it may seem.
An email that incorporates the checklist can look something like this:
Dear Client,
Hope all is well.
This is a reminder that our next check-in is coming up on 1/16/2025 at 11 a.m.
During this check-in, I will provide recommendations based on my analysis of your accounts and holdings.
We will also have plenty of time to discuss any changes necessary for your plan. To guide this discussion, I have attached a quick goal-setting exercise for you to complete beforehand. The exercise will help us both get a better idea of any changing priorities or goals in your life that could help us better serve with your financial plan.
All the best,
Adviser
This email may start like any other typical cold reminder email the unresponsive client has received, but some clients may be intrigued by the goal-setting exercise.
Not only does this addition show that you are interested in the client and motivated to better understand their specific needs, but the exercise may also help the client to better understand themselves. In our research, we found that up to 70% of people changed at least one of their top three goals after going through this exercise.
We’ve heard from advisers who have used the checklist this way and that many investors responded positively. Of course, some clients continued to be unresponsive, but others reengaged. These advisers found that the exercise started new conversations and helped them identify new ways to serve their clients.
In some cases, an unresponsive client may be out of your control because their lack of communication may have nothing to do with you or your services. However, some clients may benefit from a different approach to your typical email.
Next time you have a client who, despite your best efforts, no longer interacts with your practice, try communicating in a way that taps into the softer side of financial planning.
Investors may be nudged to take more risks.
It has never been easier to trade, thanks to ubiquitous online zero-commission trading platforms. The US online trading market is projected to exceed $4 billion by 2029.
On the one hand, this is great news. Stock ownership is positively associated with building wealth and financial awareness, and online trading platforms are leading the charge to find new ways to attract new investors. On the other hand, the introduction of gamelike elements such as leaderboards, badges, and points may be encouraging “gambling” behaviour and leading investors to take on riskier choices.
Trading platforms are incentivized through payment for order flow, or PFOF, and advertising revenues to keep investors engaged and trading more frequently.
To achieve these goals, not only have platforms made trading seamless, but they have also introduced gamelike elements to take the fear out of investing and entice novice investors. These features have the added benefit—for the platform, that is—of keeping users trading. The more you trade, the greater the trading value, and the higher your gains, the more positive reinforcements you get in the form of points, badges, and celebratory messages. The problem is consumers are getting caught up in playing the game.
Research shows that people can be negatively influenced by these types of features. Gamified elements are linked to more-frequent trades, speculative herding, and, subsequently, poor returns. Even more worryingly, these features are linked to riskier behaviours such as using higher leverage, trading larger amounts, and selecting riskier stocks.
In recent research, participants in a simulated gamified trading app environment were more likely to invest in risky stocks compared with those presented with a nongamified app. These participants were driven by their goal to win the game or move up the leaderboard, which prompted them to ignore their risk preferences and make riskier choices.
Gamified trading platforms are nudging consumers toward choices they otherwise would not make. Many investors may be distracted by the gamelike features that blur the lines between investing and gambling. In a UK survey, one participant stated that the app “feels more like a sports betting app.”
Regulators in the UK, EU, US, Australia, and Canada are taking note, issuing new warnings on design features that may lead consumers to act against their own interests, regulating in-app prompts as advice, and even calling for a ban on PFOF. But until these concerns are addressed through the regulatory system, investors must protect themselves by being aware of how their own behaviours are affected by gamelike features.
When used properly, gamelike features have the potential to help investors. They can generate interest in sound investing and wealth building, even though the rewards may be many years away.
If implemented mindfully, nudges and gamified design elements can motivate actions that drive better outcomes for investors. Such elements include:
Investors can have fun and make informed investing choices; the two are not mutually exclusive. While many trading platforms currently seem to be designed to encourage frequent trading and other risky behaviour, that does not have to be the case. These platforms have tremendous influence. If they use gamelike features properly to promote positive outcomes, they can transform retail investing for the better.
For advisers looking to use AI now to better serve their clients, our research gives a few suggestions.
Marketing may not be every adviser’s favorite part of their role, but it’s key to growing a business.
That’s why marketing efforts are a prime area for generative AI: They’re a core need for any business, but they can be time consuming. Generative AI is able to help advisers save time and effort here, and investors seem to be receptive to the technology’s use in this domain.
Our research showed that investors largely believe that marketing is an acceptable use of generative AI and that it did not negatively affect their reactions in terms of comfort and perception of their adviser-client relationship. They largely felt this was how technology should be used: to create generic content.
However, one lingering investor concern centered on lack of personalization or a true understanding of an adviser’s desired client base. In fact, concerns over generative AI interfering with personalization and human connection were reoccurring themes in our research.
Although investors are onboard with generative AI helping advisers become more efficient in menial tasks, they also believe that advisers should be careful that the technology doesn’t affect the adviser’s ability to give personalized advice.
One marketing tactic that our research suggests may be a good fit for advisers’ use of generative AI: social media.
Social media can be a powerful component of any business’ marketing strategy, whether it’s used to reach out directly to potential clients or stay top of mind for existing clients. And generative AI can help advisers save time and increase productivity when engaging in this area.
For example, say you just read this great post by Danny Noonan and want to share it on LinkedIn for your clients to see.
At this point, you can fire up your generative AI tool of choice and start refining your prompt. There are plenty of resources available on prompt engineering, which all agree on the importance of including as much detail as possible into your prompt.
Here are a few items to incorporate:
Here’s an example prompt to get you started:
## Instruction ###
Act as a financial adviser speaking to an audience of individual investors. Your goal is to establish yourself as a trusted expert in financial planning and share pertinent information with investors regarding financial decisions. With this goal in mind, generate a LinkedIn post on the following text. The post should be less than a 100 words long. Be thoughtful, detail oriented, but approachable. Have a clear CTA at the end to message me directly. Generate 3 LinkedIn posts in total. Here is the text:
## Text ##
[Copy and paste text here]
With this draft in hand, an adviser can check the content for accuracy, revise the draft to incorporate their own voice, and make any other edits as needed. In this instance, generative AI has given the adviser the bare-bones content that they can then build off for their own content, essentially giving them a head start.
After trying a prompt for a few posts, feel free to change things up and see what works better for your goals.
For example, maybe ask the AI to write longer posts. That will help you see whether longer or shorter posts seem to connect with your audience better. Or try out different calls to action to see if getting more engagement on a post is more impactful than asking for a direct message.
Developing and testing out different prompts can help an adviser see what messaging and content is most effective while cutting down on the time it takes to develop each post.
Will generative AI solve all our problems and bring about world peace in 10 years? Who knows. Some people seem to think so.
But, for financial advisers looking to use generative AI now to better serve their clients, our research gives a few suggestions. For starters, our results point to the opportunity of using generative AI in creating marketing content. Not only are investors comfortable with this use case, but it’s a key area where advisers can save time and effort. Even so, advisers must be careful of how they use and incorporate generative AI output in their practice.
Do advisers need a new risk-tolerance tool to help their clients in decumulation?
Transitioning to retirement brings both excitement and uncertainty: The shift from accumulating assets to spending them comes with unique challenges. Are retirees different enough from nonretirees that the industry needs a different set of measurement tools to better understand them? A recent review of retirement income advice by the UK’s Financial Conduct Authority found no difference in how most firms handle risk profiling between the accumulation and decumulation stages. In turn, some advisers have wondered if there should, in fact, be a difference. Would their clients be better served by a distinctive decumulation-focused risk-tolerance assessment? The short answer: In my view, probably not.
Risk tolerance, or how people feel about taking risks, is a psychological trait. Like many other personality characteristics, risk tolerance tends to be relatively stable over time. Even market conditions only have a small effect on peoples’ risk tolerance, as seen in the chart below. The Morningstar Risk Tolerance Questionnaire shows that the average risk tolerance score has been relatively stable from 2008 through 2023, regardless of whether the markets were up or down.
Demographic patterns exist, but that doesn’t mean they should define how we measure something: Their reach is limited and complicated by other factors. It would be imprudent to have a different risk tolerance measure for each stage of life or circumstance—especially when the construct being measured remains the same. Consider measuring weight over a lifetime. People tend to gain weight as they age, but we still use the same bathroom scale to measure weight over time because what we are measuring is the same. The same goes for risk tolerance. The score may change some in decumulation, but the construct of risk tolerance (like weight with a scale) remains the same.
An approach to measuring risk tolerance that focuses only on the decumulation phase of investing would be of limited use. Tools designed for specific situations may inadvertently measure something specific to the situation itself, restricting the generalizability of the results. It would not be possible to discern if a detected change is a result of a change in a tool or a real change in risk tolerance.
There is little evidence that entering the decumulation phase drastically alters risk tolerance for most investors. Meanwhile, assessing risk tolerance holistically produces results that are valid across all financial contexts, whether we are making saving, investing, or drawdown decisions. Regular reviews and reassessments (about every two to three years) are essential to ensure any material change in a client’s profile is reflected in the financial plan. By measuring the same thing using the same benchmark, the results can be compared over long periods of time and across different circumstances. This means real changes for a client can be readily identified, discussed, and addressed. That way, we won’t miss the 10% of clients whose risk tolerance changes materially over time, nor will we erroneously detect substantial changes among the other 90%.
Compared with a decumulation-specific tool, a robust financial risk tolerance tool will best capture investors’ overall risk preference and serve as a benchmark across the long-term advice journey.
By Samantha Lamas, Senior Behavioural Researcher
Investors think that generative AI has value—if advisers use it right.
Generative artificial intelligence seems to have limitless possibilities. However, just because generative AI can perform a task doesn’t mean it should do so—especially when it comes to financial advising.
If used properly, generative AI can help advisers take care of administrative tasks and allow them to spend more time on the softer side of financial advising, which is what investors value from a financial adviser.
But how do investors feel about all this? What do they think generative AI can reasonably do for their advisers, and what do they think it looks like to use generative AI “properly”?
In our research, we delve into this topic and provide guidance for how advisers can incorporate generative AI into their practice. In particular, we find some missteps advisers should avoid.
In our research, we presented one group of investors with examples of scenarios where advisers used generative AI. With a different group, we presented the same scenarios but did not mention that the adviser was using generative AI. For example, we posited to the first group, “Imagine a scenario where you are working with a financial adviser [and] … Your adviser uses generative AI when writing marketing content intended for your demographic.” And to the other group, we said, “Imagine a scenario where you are working with a financial adviser [and] … Your adviser writes marketing content intended for your demographic.”
We then compared people’s reactions, as measured by how each use case affected their relationship with the adviser. The graph below showcases the distribution of ratings for each of the use cases, with lower ratings reflecting a negative impact on the relationship.
Simply put, reactions seemed to skew slightly less positive when investors knew that generative AI was used in the execution of a task. Still, most reactions tended to stay in the positive or neutral regions.
However, when it came to uses that required a personal connection or access to personal data, investors noted that generative AI use had a negative impact on the relationship. This included tasks such as “Providing personalized recommendations” and “Generating a personalized email.”
By Matt Wacher, CIO, APAC
Key takeaways:
Donald Trump has won the White House. After months of campaigning, we finally have an answer: The Republicans have reclaimed the White House and the Senate, while control of the House of Representatives remains uncertain.
Financial markets have already reacted. US equity market is up by 2.5%, while European and Chinese stocks saw a decline. The US dollar strengthened against major currencies, including the AUD as Trump’s stance on tariffs is expected to put upward pressure on the dollar. Meanwhile, 10-year Treasury yields rose above 4.4%, reflecting the increased likelihood of more fiscal spending if Republicans control both the Senate and the House.
Our approach to this event has been the same as always: Prepare rather than predict.
How do we prepare? By striving to build diversified portfolios that are not overly exposed to any single outcome. As long-term investors, we evaluate assets based on the value of their future cash flows, recognizing that elections often have only limited long-term impact However, now that the election is over, we’re ready to respond. If markets overreact, our decisions will be guided by an assessment of long-term value rather than emotion.
Our analysis of presidential cycles since 1881 shows starting valuations play a larger role in returns than the party in the White House.
Investor Howard Marks famously stated, “You Can’t Predict You Can Prepare.” This advice is particularly relevant in investing, especially during events like elections. Presidential elections bring a set of clearly defined outcomes, but they are intensely scrutinized by market participants, so any news about election odds is typically quickly priced into markets, making it unlikely that investors can profit by guessing the outcome.
Preparation, however, takes on a different meaning. For elections, it involves simulating various outcomes and understanding their potential impact on portfolio positions. As fundamental investors, we focus on how election outcomes might affect an investment’s long-term earnings power. For many assets, elections have a negligible direct impact. However, for a subset of assets, public policy-such as regulation or trade policies-can have significant consequences. Election preparation involves conducting scenario analysis to determine how a political party or individual candidate’s policy agenda may impact an assets price, with the goal being to make sure that these risks are well-balanced.
Markets are forward-looking mechanisms that reflect the most probable set of future outcomes at any given point in time.
The notion that markets reflect public information, making them difficult to beat, was popularized by Eugene Fama in his Efficient Market Hypothesis (EMH) in the 1960s. Early work in this field relied on empirical research known as event studies. These studies analyzed well-defined events, such as earnings announcements, and tracked the asset’s price before and after the news became available. In these controlled settings, markets are highly effective at instantly reflecting new information into prices, making it very challenging to profit from short-term news.
Exhibit 1 illustrates the changing odds of Joe Biden winning the 2020 presidential election according to the betting market Predictlt in Panel A, tracked during the night of the last presidential election. Panel B shows the price of a basket of major currency exchange rates against the dollar, which moved in almost perfect correlation. The odds started around 70%, then dropped to 20% as early results favored Republicans, only to rise back to 90% as more results surfaced.
Prediction markets started pricing in a 90% chance of a Trump victory around 10:30pm Eastern time, well before the outcomes in key swing states were called. Major currency and equity markets also responded instantly to the changes in odds.
Exhibit 1: Instant Pricing of Election Odds
Source: DeHaven et al 12024) “Minute-by-Minute: Financial Markets’ Reaction to the 2020 US Election,” Cornell University.
So, is there any way to benefit from elections? While informational efficiency makes profiting difficult, one of the most common mistakes markets make is overreacting to information. For example, while Chinese stocks were down on news that is expected to Trump win the presidency, we may conclude that the market misjudged the magnitude, providing an opportunity to add to our position.
Elections can, therefore, create opportunities for investors who are prepared to capitalize on market overreactions. Being able to act on these opportunities requires a disciplined process and preparation about an asset’s potential long-term election impact.
With the election results pointing to a Republican victory, attention now shifts to the potential impact of the Trump presidency on financial markets. This raises the question: How important is the presidential party in determining return outcomes?
We analyzed data from the past 36 presidential terms, spanning from James A. Garfield’s inauguration in 1881 through Joe Biden’s tenure. Using Robert Shiller’s long-term dataset. we examined US stock market performance incorporating the two months prior to each inauguration to account for the market response to the election outcome.
Exhibit 2 reveals that presidential party affiliation accounts for less than 1% of the variability in returns across presidential terms, indicating a negligible impact. In contrast. starting valuations, as measured by the CAPE Ratio, explain 17.8% of the differences in returns across presidential cycles.
The takeaway? Valuations are a far superior predictor compared to the party occupying the White House.
Exhibit 2: Starting Valuations More Important than Party Affiliation
Source: Robert Shiller data library, Morningstar Wealth analysis.
In the days ahead, predictions will emerge about how a Trump presidency could influence returns. This analysis serves as a reminder that valuations are likely a more reliable predictor than who’s in the White House.
The reaction to Donald Trump winning the Presidency and the Republicans reclamation of the Senate has been emphatic. In general, risk assets are rallying aggressively. The S&P 500 Index closed 2.5% higher, while the NASDAQ Composite moved up approximately by 3%, and small-cap Russell 2000 Index closed 5.8% higher. Australian equities also rallied yesterday, though not to the same extent. The wildly positive reaction is being driven by the belief that the Republicans will take actions that are supportive of corporate earnings and stock price appreciation—examples include extending corporate tax cuts that are set to expire, decreased regulations leading to cheaper expansion and elevated merger and acquisition activity, and a general business-friendly mindset.
The U.S. Dollar is gaining value relative to developed country currencies (including the AUD) in conjunction with the move up in yields.
The ASX 200 rose 0.8% on Wednesday, while international equity markets had mixed reactions.
Asia: The Japanese Nikkei Index rallied 2.6% while Hang Seng Index (Hong Kong) fell by 2.2% in conjunction with the Shanghai Composite Index declining slightly by 0.1%. Chinese equities are lagging as Chinese Imports have been the primary target of Trump’s tariff narrative all throughout his campaign.
Europe: The FTSE 100 Index fell by 0.1% with the DAX Index down by 1.1%.
All but three of the U.S. Equity Sectors were positive on the day:
While the majority of U.S. sectors moved higher overnight, they were not all for the same reasons. Some are just participating in the broad-based equity rally, but other like Financials, Energy, and Technology are likely to benefit from Republican control. Financials, specifically Banks, stand to benefit from decreased regulatory restrictions and a steeper yield curve which makes their lending activity more profitable. Energy companies will look forward to less regulation and looser restrictions on drilling and exploration. Highly profitable technology companies will benefit more than others from no increases in corporate tax rates. U.S. small-caps rallied aggressively as they stand to benefit meaningfully from decreased regulation and increased merger and acquisition activity. Small-caps are often acquisition targets of larger companies that are willing to pay a premium for buying their business—this makes up a component of the return small-caps have generated historically. Regulatory hurdles and costs can have an outsized impact on smaller companies as the incremental costs are often harder for them to overcome to compared to larger scale counterparts.
Growth companies across all sizes are benefiting as the business-friendly mindset Trump carries will support their growth initiatives in a variety of ways. Growth companies will also benefit from the lower corporate tax rates Republicans are likely to maintain.
Some takeaways, lessons, and reminders from today’s market reaction:
Even if an investor had high conviction that Trump would defeat Harris and Republicans would take the Senate, the scale of the market moves would likely have still been surprising. To fully benefit an investor would have been required to make large one-way bets. We can never know what would have occurred if Harris had won, but the benefit of making short term one-way bets is almost always not worth the risk as the cost of being wrong is so meaningful. Imagine if an investor believed Harris would triumph and positioned in a way that missed out today’s rally. This further supports our Prepare, Don’t Predict approach driven by fundamental analysis, scenario analysis, and robust portfolio construction.
Most initial reactions align with conventional wisdom and expectations—higher interest rates, Chinese equities lagging the rest of the world, and U.S. small-cap exceptionalism are not surprising.
Reminder that historical analysis of market performance based on election outcomes is imperfect, at best. Today’s massive rally highlights the risk in that as the rally is technically occurring under Biden’s Presidency but is clearly being driven by Trump’s victory. Time will tell how durable today’s moves are. I view them as a resetting of the baseline and in the near future investors will turn back to conventional factors such as earnings, economic data, and interest rate policy to drive their decisions.
For financial advisers to use with clients. This document is intended to support your service proposition to clients. It is produced by our investment writers with a deliberately light tone and structure. However, these are guidance paragraphs only. It is not guaranteed to meet the expectations of regulators or your internal compliance requirements. If you wish to remove or amend any wording, you are free to do so. However, please bear in mind that you are ultimately responsible for the accuracy and relevance of your communications to clients.
Dear Client,
You may be wondering how the election of Donald Trump might impact your investment portfolio. Before we dig into last night’s events, I’d like to assure you that it is business-as-usual from our side and for our investment manager, Morningstar Wealth.
Often the biggest risk in situations like this is reacting impulsively to the fears stoked by headlines in the media. But I’d like to remind you that politics and investing are two distinctly different areas, and we will continue to manage your portfolios to ensure they are diversified and robust.
US Election
Donald Trump has won the Presidency and the Senate, which on paper gives him a clear mandate to enact his fiscal and monetary policies. The House of Representatives remains up for grabs which may curb his ability to deliver on all his plans – depending on how the outcome lands.
The market reaction in the immediate aftermath of the election is commensurate with Trump’s key policies of anti-immigration and protectionism. The US dollar has rallied as investors price in the possibility of trade tariffs. US government bond yields have risen (meaning prices have fallen) driven by a higher probability of inflation as the US labour force shrinks.
However, we are mindful that there is huge uncertainty surrounding the actual policies President Trump might get behind and these moves may reverse.
Taking a Long-Term View
We will continue to monitor proceedings and will keep you informed if anything material ensues. Regarding your portfolio, it is for circumstances like this that Morningstar takes a diversified approach when managing money.
Your portfolios hold assets like financial stocks and broad equities that should perform well if inflation rises and growth backdrop consolidates. There are also positions like defensive equities and government bonds that should appreciate if the global economy loses momentum.
At the same time, the portfolios have avoided going “all in” on any potential outcome. Instead, your portfolios are robust and constructed so that they might be expected to perform well over the long run, come what may.
Last, we leave you with two key points.
We hope you find this perspective helpful and we’ll keep you updated as events evolve. As it stands, we want you to know we’re carefully monitoring proceedings, and we are here to help with any questions you may have.
Regards,
Adviser
Even if someone is well-off, they are not immune to financial stress.
Investor discomfort in handling financial issues is one of the most common reasons that they hire a financial adviser, according to recent research from our team.
It’s not just about increasing returns. For example, one respondent told us, “The market can be a daunting place and [my adviser] help[s] me navigate based on my needs. I would rather trust someone with expertise than learn on my own.”
This response encapsulates the thought process of many investors who’ve hired a financial adviser. Clients recognise they don’t have the time, knowledge, or resources to make the best decisions for their finances themselves.
There’s good reason to seek out help when facing discomfort with finances. On top of being unpleasant, worrying about finances can also lead to people feeling generalised psychological distress, and people who are stressed by their finances are more likely to exhibit signs of depression.
Unfortunately, having money is not enough to resolve the strain that financial stress can put on someone’s mental well-being. People’s subjective perception of their wealth is not always linked with their monetary reality—which means that even if someone is well-off, they are not immune to the feeling the stress of their finances and the negative downstream effects.
To answer the question, let’s look to the ABC-X model of stress, which examines how a stressor, A, leads to a stressful (or not stressful) outcome, X. This model can help explain why different clients react differently to the same financial stressors and what advisers can do to alleviate the strain those stressors can cause.
Here’s how this model works:
In this model, any given stressor can lead to a good outcome if people have the right resources and perception of the stressor.
Financial advisers can help with both of these factors. A financial adviser is another resource that people can draw upon when they are confronted by a stressor. Advisers can help them execute actions, explain important considerations, and more.
But what may be less obvious is that advisers can also help shape investors’ perceptions of the stressor through behavioural coaching. Advisers can help clients see new opportunities in the situation, provide perspective, and help clients identify the strengths they have that can help them cope with the stressor.
To that end, we recommend that advisers who want to convert prospects into lifelong clients speak to their need for peace of mind from the start. This can involve highlighting how your expertise can reduce decision-making anxiety and provide clarity on different investment options. It may also include emphasizing your commitment to build a financial plan that will help them reach their goals.
But a particularly effective way to help clients see how you will help them achieve peace of mind is through storytelling—that is, providing compelling anecdotes from previous client interactions.
To do so, I recommend using the ABC-X model as a framework for your story. This framework will help you show prospects how you act as a resource and provide perspective to clients when they’re confronted with stressors.
Establishing clear guidelines is key to building a successful work model for employees.
The traditional office environment is undergoing a dramatic transformation. Fueled by the covid crisis, technology, and a desire by workers for flexibility, remote work has become front and center in most industries, including advisory businesses. Like any significant change, it presents unique advantages and disadvantages for both employers and employees.
Employees tend to prefer remote work because it offers highly sought-after flexibility that can significantly improve their work-life balance. By avoiding a commute, employees can have more time for family, hobbies, or simply more sleep! This can lead to increased satisfaction and possibly even higher productivity. Additionally, a home office could offer a quieter and more distraction-free environment, boosting focus and productivity. Finally, remote work can be beneficial for those managing personal commitments alongside careers or those who thrive in more solitary environments.
Employers can save money from implementing a remote workforce. Cost savings can include lower rents on office space, as well as decreased spending on utilities and office supplies. Perhaps the biggest benefit is that companies can hire top talent from anywhere, not just those geographically close to their offices. This can lead to a higher-quality, more diverse workforce.
Even though many employees prefer it, the flexibility of remote work can be a double-edged sword. Blurred lines between work and personal life can lead to longer hours and potential burnout—or home distractions could result in substandard performance. Also, the camaraderie, opportunities for on-the-job learning, and sense of belonging that come from working with colleagues can be difficult to replicate virtually.
For employers, communication, the lifeblood of a cohesive employee team, can become more difficult in a virtual setting. Without on-site operations, opportunities for spontaneous brainstorming sessions and quick hallway discussions will be lost. Remote work models make fostering a strong company culture and team building more difficult. Finally, for companies where client interaction is crucial, remote work can be a challenge. While video conferencing helps, some clients may still value in-person meetings.
Many companies are finding that a hybrid work model can achieve the best of both worlds. A blend of remote and in-office work can fulfill the needs of employees, employers, and clients. To ensure communication and workplace cohesiveness while providing for clients’ preferences, it is best to have a combination of full-staff and half-staff office days rotating with remote days. An example of this would be full staff days in the office on Tuesdays and Thursdays, half staff days in the office on Mondays and Wednesdays, and full remote on Fridays.
Regardless of the chosen model (fully remote or hybrid), a well-planned approach is essential. Here are some detailed recommendations:
Clear Expectations
Document your expectations in a handbook that fully outlines your firm’s remote work policy. This handbook should clearly define work hours, communication protocols, and guidelines for equipment use and data security:
Technology
The success or failure of full or hybrid remote work depends heavily on technology. Reliable videoconferencing tools, cloud-based collaboration platforms (like Google Docs), scheduling tools, and project management software are crucial for seamless communication and information sharing between remote and in-office employees. Be sure to invest in high-quality hardware and software. Supporting a remote team requires tools that are robust and reliable.
Empowering Your Workforce
Managing a fully or partially remote workforce necessitates careful and thoughtful handling of employees. This includes training and support, fostering a culture of trust and accountability, and building teamwork.
While employees might be thrilled with the opportunity to work fully or partially remotely, clients might not mirror that enthusiasm. Beyond maintaining your client service and quality at high standards, you must work to ensure a positive client experience at all levels.
While video meetings have become commonplace, when it comes to clients, it’s important to go beyond a one-size-fits-all approach. Communication is key here. Be sure to clearly communicate the flexible meeting options you offer. During initial client contacts, determine their preferred meeting format and honour their preferences. For long-term clients, realise that the shift to full or partial remote work will be new—and possibly scary—to them. Conduct a survey to get an idea of your client base’s preferences. Ask if they prefer in-person meetings, video conferencing, or a combination of both. Gauge their comfort level with different technologies and inquire about any accessibility needs. Consider categorising clients based on meeting preferences.
Finally, be prepared to answer client questions and address any concerns they may have regarding remote interaction. In the end, it is your responsiveness and service level that will make all the difference.
Be flexible in your meeting options, including in-person, video conferences, and hybrid meetings:
Today’s employees no longer want to work in an office five days a week. To remain competitive and to attract and retain top talent, employers must be willing to adopt at least a hybrid remote work model. The success of this model depends on clear communication, flexibility, and a commitment to creating a positive work environment for both remote and in-office employees. To ensure the arrangement meets the evolving needs of your business, employees, and clients, be sure to regularly evaluate and refine your hybrid work policy.
*Sheryl Rowling, CPA, is a columnist for Morningstar. Morningstar acquired her Total Rebalance Expert software platform in 2015. The opinions expressed in her work are her own and do not necessarily reflect the views of Morningstar.
“Just keep swimming, just keep swimming.”
Dory, Finding Nemo
As volatility in markets continues to test investor resolve, we think all investors could learn something from Dory.
This basic investment principle of staying invested sounds easy enough, but it gets trickier in practice. In our investment manager, Morningstar’s, annual Mind The Gap study, they found that on average, the actual return enjoyed by investors was 1.7% lower per year than the total return their fund investments generated over the same period*. While this may seem like a small difference, compounded over many years and into retirement, the opportunity cost is significant.
So – why the difference? Why do investors consistently leave returns on the table? To quote the findings, “Inopportunely timed purchases and sales cost investors about 22% of the return they otherwise could have earned had they bought and held.”
While cost, tax positions and other cash flow variables also need to be considered, the chart below helps to illustrate the importance of time in the market versus timing the market – a crucial and often expensive distinction.
Investors who attempt to time the market run the risk of missing periods of positive returns, which can lead to significant adverse effects on the long-term value of a portfolio.
The chart above illustrates the value of a $100,000 investment in the stock market during the period 2005–2024, a period which included the Global Financial Crisis (the grey highlight) and the recovery that followed. The value of the investment dropped back to around $100,000 by February 2009 (the trough date), following a severe and protracted market decline. If you remained invested in the stock market until the end of August 2024, however, the ending value of your investment would be around $743,000. If you chose to exit the market at the bottom to invest in cash for a year and then reinvested in the market, the ending value of your investment would be around $434,000. An all-cash investment from the bottom of the market would have yielded an end value of only $174,000. While all market recoveries are not equal and may not yield the same results, staying the course has historically proved to be the best option for patient investors and removes the difficult decision of when to re-invest from the sideline.
A final point to make is that it pays to see the glass half-full when investing. The graph below represents the S&P 500 Index which stands for the Standard and Poors 500 Index, an Index of 500 large companies listed on the US stock exchange.
While enduring the recessionary periods (the red) are painful in the moment, history shows that eventually, all bear markets have found a trough, paving the way for subsequent economic expansion and more bullish recovery. These phases of the economic and market cycle are not created equal. As the chart above shows, bear markets since 1956 have lasted anywhere from 6 months to two-and-a-half years. During these periods, the U.S. stock market has fallen anywhere from 22% (1957) to 57% (the 2008 financial crisis) at their worst points.
In contrast, bull markets (in blue) have lasted from about 2 years to over a decade in length, with the two longest cycles occurring during the past 30 years. The eleven-year bull market that ran from 2009 to 2020 experienced a price return of 401% and close to a 530% return with dividends re-invested. Investors who stayed the course once again came out on top.
So, in the face of market volatility, and the next inevitable market correction, Dory’s motto reigns supreme. Or, if you need a reminder from Warren Buffet, Chairman and CEO of Berkshire Hathaway: “The stock market is a device for transferring money from the impatient to the patient.”
If you have any questions about this note, or about your investments generally, please feel free to get in touch – I’m always happy to chat.
[Adviser name]
*Mind the Gap 2023. A Report on Investor Returns in the United States. (2023). pp.1–18.
Disclaimer
Investors value advisers who attend to their financial and human needs.
In the past, I’ve likened a client’s view of a financial adviser to watching a duck swim across a pond. To the observer, it looks like the duck is effortlessly gliding across the water, but beneath the surface, the duck is rapidly kicking its webbed feet.
Similarly, an adviser is frequently hard at work doing things their clients will never witness. Unlike a duck, though, advisers face the additional difficulty of needing to demonstrate their value to their clients while much of the work that contributes to their value isn’t apparent to clients. This can lead to a mismatch between what clients think about an adviser’s work and what an adviser thinks. Therefore, advisers must understand what clients think an adviser’s value is so they can better highlight that value.
In our new report, we examined how investors value different capabilities of advisers. To uncover a holistic understanding of what investors think, we synthesise findings from three different measurements (ranking, willingness to pay, and open text) across four studies. Using different measurements allowed us to discover major themes in what investors value in an adviser, to help advisers better respond to them.
Based on converging evidence across the four studies, we identified four major themes that reflect what investors are looking for in their advisers:
Based on the evidence across the four studies, we created the “mind map” below to help advisers think about what clients value in their services. The size of each section of the mind map reflects how much evidence we found for each theme—the larger the section, the more evidence to support it.
Though all these concerns are worth addressing, keep in mind how much weight should be given to each concern based on the evidence. For example, though returns may show up in the mind map (they’re in the lower right corner), this section’s size compared with the other three values indicates it should receive less attention. Advisers may be better served by focusing on values that take up more space, such as “provides comfort by having the skills I don’t have to reach my goals.”
The next step is for advisers to use the findings in this mind map to demonstrate their value—especially when it comes to contributions that can be opaque to clients.
To that end, we recommend advisers keep the following in mind to show their value to clients:
Advisers should demonstrate their ability to tailor plans to clients’ needs. Investors are looking for advice they can rely on for their situation, but if they can’t see exactly how their needs and circumstances are considered, they may fear that they’re receiving cookie-cutter solutions. Therefore, advisers should find ways to pull back the curtain to show clients how your processes account for them as individuals. For example, when you present plans to clients, let them know the client-informed factors you accounted for, such as their risk tolerance, timelines for their financial goals, and so on. Clarity on how your advice relates to each client will build confidence in the advice you provide.
Advisers should highlight goals in their client interactions. Investors see goal achievement as integral to the value of an adviser, so advisers should bring goals to the forefront of each step of the financial planning process, not just during goal-setting conversations. For example: How should clients respond to new circumstances to get them to their goals? How should they view the market given their goal progression? By putting goals at the heart of interactions with clients, advisers can better demonstrate the unique value they bring.
Advisers should show (not tell) clients the benefit of behavioural coaching. Investors recognise advisers can help them make better decisions with their finances. Still, they can chafe at the concept of behavioural coaching when it’s not introduced properly because they don’t like the implication that they are prone to mistakes. Therefore, it’s necessary for advisers to thoroughly illustrate the value of behavioural coaching. For example, advisers may talk about how they serve as a sounding board for clients when they make decisions. This not only gives clients the sense of how an adviser adds value by supporting their decision-making, but also does so in a way that does not feel like a negative judgment on the client’s own abilities.
Advisers should address returns in a productive way. Some clients will inevitably see returns as a key value-add for advisers, so advisers must be prepared to help clients think about returns productively. One way to do so is to help clients set better expectations for returns by giving them a meaningful benchmark. For example, advisers may focus clients on benchmarks that track toward their goals instead of beating the market more generally. In doing so, advisers speak to the value that clients see in returns without catering to unrealistic expectations for maximum returns.
A process to help you identify what really drives you.
By Samantha Lamas, Senior Behavioural Researcher, and Ryan O. Murphy, Global Head of Behavioural Insights
We’re all prone to cognitive biases when facing uncertainty.
Election years are a ripe opportunity for behavioural mistakes. There seems to be a lot at stake given the potentially huge change coming around the corner. Uncertainty hangs in the air, taking up all the oxygen in the room.
With all these stressors at play, it’s no wonder our minds ramp up our use of cognitive shortcuts, some of which are bound to lead us astray. As we inch closer to the 2024 election, here are a few cognitive biases and consequences I’m keeping in mind.
If someone were to ask me which bias I hate the most, I would probably say confirmation bias. This is our tendency to pay more attention to and more easily accept information that supports our existing beliefs.
The reason for my ire is that even if a person is diligently researching a topic to make a well-rounded decision, their brain may be fastidiously working to latch onto research that supports their existing beliefs. In other words, even the most well-meaning of investors may fall prey to this bias.
When preparing for an election, we may all be doing some sort of research to understand our preferences for key issues. As we do our due diligence, we must acknowledge that confirmation bias may be at play, swaying our opinion toward our preconceived notions. Existing research even notes that as we examine evidence that does not support our opinion, we are more likely to be critical of that evidence. On the other hand, we ask fewer questions regarding evidence that supports our opinions.
For example, if we see a social-media post that supports our preferred political candidate, we may be less likely to question the accuracy and sourcing of the statistics featured in the post or the credibility of the author. However, we may be much less forgiving for a post that criticizes our preferred candidate.
Confirmation bias is a conniving one, but we are not completely powerless to it. Before conducting your research, try to come up with a list of questions to judge the efficacy of evidence and ask those same questions for each piece you encounter. For example, maybe you want to ensure the research study sample was large enough and representative of the broader group in question – in this case, the United States. Also, make sure to read the same number of articles that support and oppose your existing opinion—this can help make sure you at least expose yourself to diverse opinions.
Past research suggests that elections do not have a meaningful medium to long-term impact on market performance. In other words, though the election itself may cause some volatility, it’s only for the short term.
If one were to read various media articles prophesizing doom and gloom for certain industries based on who is elected, this research finding may seem hard to believe. That’s because front-page/trendy media can be misleading and capitalize on behavioural biases to garner a strong reaction, like availability bias (our tendency to overweigh information that comes more readily to mind) and negativity bias (our tendency to pay more attention to things of a negative nature).
These biases prompt us to latch on to doom and gloom media and disregard the fact that these stories usually haven’t played out in the past. This results in our minds believing this election will be the one to solidify our fate—even though we probably felt that way about past elections, too, and things turned out OK.
The best way to avoid these decision-making errors is to conduct an information audit. Write down the news and information sites you believe are unbiased (or as unbiased as possible) and that report well-balanced, factual arguments. Make sure to include sites that support and oppose your political affiliation. Now, devote your attention to these sites. Don’t click on those eye-catching articles from questionable sites. Unfollow any influencers with dubious (yet somehow popular) claims. Delete any apps on your phone that may lead you to those in-demand but unhelpful posts. For example, I don’t keep the Apple News app on my phone.
An election year puts a deadline on our decisions. “If we don’t make a change before X becomes president, we are goners!”
This looming deadline and all the milestones leading up to an election may prompt investors to feel that they are under immense time pressure when making decisions. Unfortunately, this time pressure may prompt a scarcity mindset: Because we feel like we don’t have sufficient time, we are more likely to engage in reflexive responses, a more narrow and concrete style of thinking, and fail to think critically about the problem.
To avoid this decision-making trap, prepare for these supposed dire circumstances before they happen. For example, implement a trading rule that states you will not make any changes to your portfolio unless it falls by X%.
Also, don’t forget about the possibility of choosing to do nothing at all. As Danny Noonan found in his research, based on historical data, investors are better off ignoring Washington, D.C., entirely.
Presidential elections are important, and there is much at stake, but investors must remember that regardless of who wins, they are better off staying invested for the long term. As you consider your investing decisions amid the hubbub of the election year, keep these cognitive biases in mind.