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The Next Generation Of Leisure: Building Personalized Travel Experiences With Generative AI

After enduring a nearly three-year stand-off with travel restrictions and border closures due to the global pandemic, last year saw … Read more

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After enduring a nearly three-year stand-off with travel restrictions and border closures due to the global pandemic, last year saw travelers take back to the skies, seas, roads, and railroads in droves as countries reopened and welcomed back foreign visitors.

Amid the pent-up travel demand, more than 900 million tourists made an international trip last year. Although the figure only represents 63% of pre-pandemic levels, estimates by the United Nations World Tourism Organization (UNWTO) predict that global tourism could considerably improve, approximately reaching 80% to 95% of pre-pandemic levels in 2023.

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Despite ongoing economic problems, and travelers left paying way more for flights, hotels, excursions, and car rentals, demand has been growing steadily as the global tourism industry rebounds from years of shutdowns.

The growing potential of full recovery has prompted the industry to improve and adapt new technology in an attempt to meet traveler needs and cope with increasing demands. With the introduction of several advanced systems, including Artificial Intelligence (AI), machine learning (ML), and natural language processing (NLP) companies and travel agents are now able to closely monitor traveler trends and enhance the overall travel experience from booking to checking in.

What Is Generative AI?

An overarching branch of technology that has in recent years changed the way consumers, and travelers, book and plan their holidays is partially due to the growing development of generative AI.

Generative Artificial Intelligence is a broad term that refers to several categories of AI algorithms that can help to generate new texts, images, audio, code, and synthetic data. These outputs are delivered through deep machine learning networks that use a wide range of data points to compile and deliver different outputs based on the request.

Perhaps the most notable trend in generative AI is the recent release of ChatGPT, a natural language processing tool developed by software and technology firm, OpenAI. The ChatGPT model uses language input models that can help to answer questions, and assist with different language or text-based tasks, including composing emails, essays, and code.

Initially launched in November 2022, ChatGPT managed to garner more than one million users in five days, making it one of the fastest-growing applications by user growth.

Generative AI may perhaps still be in its infancy, but analysts predict that by 2025, these systems will produce 10% of all data. By the same time, generative AI will be used to discover 50% of drug discovery and development initiatives; and by 2027, 30% of manufacturers will use this technology to enhance their product development effectiveness.

These predictions, coupled with ongoing development and user interest show how human ingenuity has allowed businesses and companies to utilize advanced technology to improve customer engagement, experience, and overall satisfaction.

Generative AI In Travel

AI and its components are nothing new to the travel industry, as research shows that 30% of hospitality and similar companies are already using some form of AI to help them improve sales, websites, and product personalization.

We already see this sort of technology in travel with advanced personalization, AI travel assistants, AI-driven applications for flight forecasting, chatbots and online direct messaging, and data analysis that monitors travel trends.

As these and other systems mature as the industry recovers, providing real-world solutions for travelers and companies, how can generative AI become the next disruptive tool that helps to improve the travel experience and creates more personalized travel adventures?

Automated Booking Upgrade Processing

It’s estimated that in 2023, roughly 700 million people will be making a booking online. Furthermore, around 83% of American adults that plan to travel this year, will book their trip through an online platform or portal.

Generative AI provides direct and seamless communication, and for companies in the travel and leisure industry, this presents them with an opportunity to utilize direct and targeted messaging to reach the right consumer market at the right time.

Instead of relying on prompted digital ads and banners on websites, companies will now be able to direct communication with several different audiences at the same time. This will be more prevalent among companies in the airline, cruise, and hotel industries, offering customers an upgraded experience at any given touchpoint.

Generative AI will reach customers using the words and language most associated with the customer journey. This would take big data analysis to a whole new level, where companies can reach their customers with language segments associated with their travel experience.

Building Better Customer Loyalty Programs

Answering customer needs, and providing the right solutions can help companies turn paying clients into loyal followers. As part of their efforts to build a more tactile customer loyalty program, that effectively utilized customer data to profile travelers, generative AI will be able to create a full portrait of the traveler.

Through these efforts, booking sites and travel aggregators will have an informed view of their customers and can predict when a traveler becomes increasingly disengaged from the loyalty program. This could help them prompt new or different deals and marketing campaigns that can help keep travelers engaged and interested.

As more data is collected from travelers, companies will have the ability to formulate personalized rewards and incentives helping to increase customer engagement accuracy. These efforts are already active with the use of chatbots and direct messaging on websites, which is a common way for businesses to resolve customer problems and answer queries.

Better experiences and more personalized targeting would help to automatically increase overall customer involvement, leading to more loyal supporters and travelers.

Direct Marketing Communication

As more customer data and information is compiled, the easier it will be to deliver targeted marketing communication efforts to customers based on their experiences and interactions.

In the travel industry, generative AI will be able to use these algorithms as part of an effort to build a more personalized travel itinerary for customers based on their needs and direct language input. This would mean that customers will automatically be placed in a customer loyalty program dedicated to similar products and services.n

Instead of having customers search for a specific destination, only to review the results and never return, generative AI will target these customers based on their interests, and provide them with a more informative itinerary

These AI models can deliver direct marketing communication to any type of customer, allowing companies to offer the right set of products or services to customers throughout the entire journey.

Virtual Customer Services

A large majority of customer service these days is resolved online whether it’s through email, instant or direct messaging, or ChatBots. These applications have allowed businesses to have direct contact with the customer at all times, and ensure that when a problem occurs, artificial intelligence can use core language processing to resolve any grievances.

The next step would be to introduce a more humanoid or robotic customer service experience, eliminating humans from the chain of interaction, and allowing AI to generate possible solutions for customers.

In some instances, researchers have found that travel and leisure entities such as hotels, restaurants, and booking sites are completely digital, minimizing the need for human contact and delivering constant on-demand service.

In the travel industry, customer service cannot be ignored. Research shows that around 81% of customers that had a positive customer service experience are likely to make another purchase. Even more, around 76% of customers want to interact or talk to a company representative upon contacting a company.

This is where generative AI becomes important to oversee and analyze customer experience only, presenting them immediately with the right information they require, and resolving possible issues they may encounter along the way.

Planning And Booking Assistance

Paired with the importance of virtual customer service, and dedicated online communication - assisted planning and booking is another category where generative AI can be applied.

Companies are already experimenting with different ways they can deliver the right products and services to the right travelers throughout their planning and booking journey. With the assistance of generative AI, customers will in most instances have on-demand access to the services they need and desire.

Travelers booking holidays will be automatically directed to several different experiences or excursions at their destination. They will be offered hotel and car rental deals, discounts, and loyalty program offers specifically tailored to their holiday needs.

There will be an increasing number of direct communication efforts between companies and travelers through mobile messaging apps such as Whatsapp or Facebook Messenger to help keep customers informed about upcoming trips, reservations, or any possible changes.

Adapting to the traveler’s itinerary will mean that chatbots on booking sites will immediately deliver answers or results related to specific queries. Customers will no longer need to contact a service desk, as all the information they require will be available to them on demand.

The Bottom Line

It’s quite interesting to think how much Artificial Intelligence has already done for the travel industry. Now with the introduction of new software and technology, travel companies can direct their efforts towards a more empowered and improved customer journey, from planning to booking to checking in.

Generative Artificial Intelligence offers travelers a more personalized experience that puts them in direct contact with the right services and products and helps to make the entire journey more seamless. Providing customers with the right options not only shortens their time spent planning and booking, but it can also help to create more loyal and trusted customers in an industry bound for recovery.

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Stock indexes are breaking records and crossing milestones – making many investors feel wealthier

The S&P 500 topped 5,000 on Feb. 9, 2024, for the first time. The Dow Jones Industrial Average will probably hit a new big round number soon t…

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Major stock indexes were hitting or nearing records in February 2024, as they were in early 2020 when this TV chyron appeared. AP Photo/Richard Drew

The S&P 500 stock index topped 5,000 for the first time on Feb. 9, 2024, exciting some investors and garnering a flurry of media coverage. The Conversation asked Alexander Kurov, a financial markets scholar, to explain what stock indexes are and to say whether this kind of milestone is a big deal or not.

What are stock indexes?

Stock indexes measure the performance of a group of stocks. When prices rise or fall overall for the shares of those companies, so do stock indexes. The number of stocks in those baskets varies, as does the system for how this mix of shares gets updated.

The Dow Jones Industrial Average, also known as the Dow, includes shares in the 30 U.S. companies with the largest market capitalization – meaning the total value of all the stock belonging to shareholders. That list currently spans companies from Apple to Walt Disney Co.

The S&P 500 tracks shares in 500 of the largest U.S. publicly traded companies.

The Nasdaq composite tracks performance of more than 2,500 stocks listed on the Nasdaq stock exchange.

The DJIA, launched on May 26, 1896, is the oldest of these three popular indexes, and it was one of the first established.

Two enterprising journalists, Charles H. Dow and Edward Jones, had created a different index tied to the railroad industry a dozen years earlier. Most of the 12 stocks the DJIA originally included wouldn’t ring many bells today, such as Chicago Gas and National Lead. But one company that only got booted in 2018 had stayed on the list for 120 years: General Electric.

The S&P 500 index was introduced in 1957 because many investors wanted an option that was more representative of the overall U.S. stock market. The Nasdaq composite was launched in 1971.

You can buy shares in an index fund that mirrors a particular index. This approach can diversify your investments and make them less prone to big losses.

Index funds, which have only existed since Vanguard Group founder John Bogle launched the first one in 1976, now hold trillions of dollars .

Why are there so many?

There are hundreds of stock indexes in the world, but only about 50 major ones.

Most of them, including the Nasdaq composite and the S&P 500, are value-weighted. That means stocks with larger market values account for a larger share of the index’s performance.

In addition to these broad-based indexes, there are many less prominent ones. Many of those emphasize a niche by tracking stocks of companies in specific industries like energy or finance.

Do these milestones matter?

Stock prices move constantly in response to corporate, economic and political news, as well as changes in investor psychology. Because company profits will typically grow gradually over time, the market usually fluctuates in the short term, while increasing in value over the long term.

The DJIA first reached 1,000 in November 1972, and it crossed the 10,000 mark on March 29, 1999. On Jan. 22, 2024, it surpassed 38,000 for the first time. Investors and the media will treat the new record set when it gets to another round number – 40,000 – as a milestone.

The S&P 500 index had never hit 5,000 before. But it had already been breaking records for several weeks.

Because there’s a lot of randomness in financial markets, the significance of round-number milestones is mostly psychological. There is no evidence they portend any further gains.

For example, the Nasdaq composite first hit 5,000 on March 10, 2000, at the end of the dot-com bubble.

The index then plunged by almost 80% by October 2002. It took 15 years – until March 3, 2015 – for it return to 5,000.

By mid-February 2024, the Nasdaq composite was nearing its prior record high of 16,057 set on Nov. 19, 2021.

Index milestones matter to the extent they pique investors’ attention and boost market sentiment.

Investors afflicted with a fear of missing out may then invest more in stocks, pushing stock prices to new highs. Chasing after stock trends may destabilize markets by moving prices away from their underlying values.

When a stock index passes a new milestone, investors become more aware of their growing portfolios. Feeling richer can lead them to spend more.

This is called the wealth effect. Many economists believe that the consumption boost that arises in response to a buoyant stock market can make the economy stronger.

Is there a best stock index to follow?

Not really. They all measure somewhat different things and have their own quirks.

For example, the S&P 500 tracks many different industries. However, because it is value-weighted, it’s heavily influenced by only seven stocks with very large market values.

Known as the “Magnificent Seven,” shares in Amazon, Apple, Alphabet, Meta, Microsoft, Nvidia and Tesla now account for over one-fourth of the S&P 500’s value. Nearly all are in the tech sector, and they played a big role in pushing the S&P across the 5,000 mark.

This makes the index more concentrated on a single sector than it appears.

But if you check out several stock indexes rather than just one, you’ll get a good sense of how the market is doing. If they’re all rising quickly or breaking records, that’s a clear sign that the market as a whole is gaining.

Sometimes the smartest thing is to not pay too much attention to any of them.

For example, after hitting record highs on Feb. 19, 2020, the S&P 500 plunged by 34% in just 23 trading days due to concerns about what COVID-19 would do to the economy. But the market rebounded, with stock indexes hitting new milestones and notching new highs by the end of that year.

Panicking in response to short-term market swings would have made investors more likely to sell off their investments in too big a hurry – a move they might have later regretted. This is why I believe advice from the immensely successful investor and fan of stock index funds Warren Buffett is worth heeding.

Buffett, whose stock-selecting prowess has made him one of the world’s 10 richest people, likes to say “Don’t watch the market closely.”

If you’re reading this because stock prices are falling and you’re wondering if you should be worried about that, consider something else Buffett has said: “The light can at any time go from green to red without pausing at yellow.”

And the opposite is true as well.

Alexander Kurov does not work for, consult, own shares in or receive funding from any company or organization that would benefit from this article, and has disclosed no relevant affiliations beyond their academic appointment.

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Marriage is not as effective an anti-poverty strategy as you’ve been led to believe

Marriage on its own won’t do away with child poverty, and in fact it can create even more instability for low-income families.

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Despite the popular guidance, marriage can be an economic risk for single parents with unstable partners. simarik/iStock/Getty Images Plus

Brides.com predicts that 2024 will be the “year of the proposal” as engagements tick back up after a pandemic-driven slowdown.

Meanwhile, support for marriage has found new grist in recent books, including sociologist Brad Wilcox’s “Get Married: Why Americans Must Defy the Elites, Forge Strong Families and Save Civilization” and economist Melissa Kearney’s “The Two-Parent Privilege.”

Kearney’s book was hailed by economist Tyler Cowen as possibly “the most important economics and policy book of this year.” This is not because it treads new ground but because, as author Kay Hymowitz writes, it breaks the supposed “taboo about an honest accounting of family decline.”

These developments are good news for the marriage promotion movement, which for decades has claimed that marriage supports children’s well-being and combats poverty. The movement dates back at least to the U.S. Department of Labor’s Moynihan Report of 1965, which argued that family structure aggravated Black poverty.

Forty years after the Moynihan Report, George W. Bush-era programs such as the Healthy Marriage Initiative sought to enlist churches and other community groups in an effort to channel childbearing back into marriage. These initiatives continue today, with the federally subsidized Healthy Marriage and Responsible Fatherhood programs.

Still, nearly 30% of U.S. children live in single-parent homes today, compared with 10% in 1965.

We are law professors who have written extensively about family structure and poverty. We, and others, have found that there is almost no evidence that federal programs that promote marriage have made a difference in encouraging two-parent households. That’s in large part because they forgo effective solutions that directly address poverty for measures that embrace the culture wars.

Child hangs upside down on playground equipment
Having a parent who has a college degree makes kids less likely to live in poverty than having parents who are married. Mayur Kakade/Moment Collection via Getty Images

Marriage and social class

Today’s marriage promoters claim that marriage should not be just for elites. The emergence of marriage as a marker of class, they believe, is a sign of societal dysfunction.

According to census data released in 2021, 9.5% of children living with two parents – and 7.5% with married parents – lived below the poverty level, compared with 31.7% of children living with a single parent.

Kearney’s argument comes down to: 1 + 1 = 2. Two parents have more resources, including money and time to spend with children, than one. She marshals extensive research designed to show that children from married couple families are more likely to graduate from high school, complete college and earn higher incomes as adults than the children of single parents.

It is undoubtedly true that two parents – that is, two nonviolent parents with reliable incomes and cooperative behavior – have more resources for their children than one parent who has to work two jobs to pay the rent. However, this equation does not address causation. In other words, parents who have stable incomes and behaviors are more likely to stay together than parents who don’t.

Ethnographic studies indicate, for example, that the most common reasons unmarried women are no longer with the fathers of their children are the men’s violent behavior, infidelity and substance abuse.

Moreover, income volatility disproportionately affects parents who don’t go to college. So while they may have more money to invest in children together than apart, when one of these parents experiences a substantial drop in income, the other parent may have to decide whether to support the partner or the children on what is often a meager income.

The impact of having single parents also plays out differently by race and class. As sociologist and researcher Christina Cross explains, “Living apart from a biological parent does not carry the same cost for Black youths as for their white peers, and being raised in a two-parent family is not equally beneficial.”

For example, Cross found that living in a single-mother family is less likely to affect high school completion rates for Black children than for white children. Also, Black families tend to be more embedded in extended family than white families, and this additional support system may help protect children from negative outcomes associated with single-parent households.

Making men more ‘marriageable’

Kearney, to her credit, does note that economic insecurity largely explains what is happening to working-class families, and that no parent should have to tolerate violence or substance abuse. But she doubles down on the need to restore a norm of two-parent families.

Many of her policy prescriptions are sensible. She advocates for better opportunities for low-income men – to make them, in the words of sociologist William Julius Wilson, “marriageable.” Such policies would include wage subsidies to improve their job opportunities, investment in community colleges that provide skills training, and the removal of questions about criminal histories from job applications, so that candidates who have previously been incarcerated are not immediately disqualified.

A new marriage model

What marriage promotion efforts overlook, however, are the underlying changes in what marriage has become – both legally and practically.

The new marriage model rests on three premises.

The first is a moral command: Have sex if you want to, but don’t have children until you are ready. While the shotgun marriage once served as the primary response to unplanned pregnancy, such marriages today often derail education and careers and are more likely to result in divorce than other marriages. Research shows that lower-income women’s pregnancies are much more likely to be unplanned.

The second is the ability to pick a partner who will support you and assume joint responsibility for parenting. As women have attained more economic independence, they are less in need of men to raise children, particularly if their partners are insensitive or abusive. With healthy relationships, couples pick partners based on trust, commitment and equal respect. This is more difficult to do in communities with high rates of incarceration and few opportunities for stable employment.

And the third is economic and behavioral stability. Instability undermines even committed unions. Parents who wait until they find the right partner and have stable lives bring a lot more to parenting, whether they marry or not.

We believe that creating opportunities for low-income parents to reach this middle-class model is likely to be the most effective marriage promotion policy.

Economic support is key

In relationships that fall outside of these premises, 1 + 1 often becomes 1 + -1, which equals 0.

Being committed to a partner who can’t pay speeding tickets, runs up credit card bills, comes home drunk or can’t be relied on to pick up the children after school is not a recipe for success.

Economic principles suggest that businesses with more volatile income streams need a stronger capital base to withstand the downturns. Working-class couples who face economic insecurity see commitment as similarly misguided; without a capital base, a downturn for one partner can wipe out the other.

The Biden administration’s child tax credit expansion included in the American Rescue Plan Act of 2021 helped cut the child poverty rate – after accounting for government assistance – to a record low that year. It did more to address child poverty than marriage promotion efforts have ever done.

Researchers have described such income-support policies as the “ultimate multipurpose policy instrument.” They improve the economic circumstances of single-parent families and, in doing so, may also provide greater support for two-parent relationships.

Policymakers know how to solve child poverty – and these measures are far more effective than efforts to put two married parents in every household.

The authors do not work for, consult, own shares in or receive funding from any company or organization that would benefit from this article, and have disclosed no relevant affiliations beyond their academic appointment.

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Divergences And Other Technical Warnings

While the bulls remain entirely in control of the market narrative, divergences and other technical warnings suggest becoming more cautious may be prudent….

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While the bulls remain entirely in control of the market narrative, divergences and other technical warnings suggest becoming more cautious may be prudent.

In January 2020, we discussed why we were taking profits and reducing risk in our portfolios. At the time, the market was surging, and there was no reason for concern. However, just over a month later, the markets fell sharply as the “pandemic” set in. While there was no evidence at the time that such an event would occur, the markets were so exuberant that only a trigger was needed to spark a correction.

“When you sit down with your portfolio management team, and the first comment made is ‘this is nuts,’ it’s probably time to think about your overall portfolio risk. On Friday, that was how the investment committee both started and ended – ‘this is nuts.'”January 11th, 2020.

As the S&P 500 index approaches another psychological milestone of 5000, we again see numerous warning signs emerging that suggest the risk of a correction is elevated. Does that mean a correction will ensue tomorrow? Of course not. As the old saying goes, “Markets can remain irrational longer than you can remain solvent.” However, just as in 2020, it took more than a month before the warnings became reality.

While discussing the risk of a correction, it was just last October that we discussed why a rally was likely. The reasons at that time were almost precisely the opposite of what we see today. There was extremely bearish investor sentiment combined with negative divergences of technical indicators, and analysts could not cut year-end price targets fast enough.

What happened next was the longest win streak in 52 years that pushed the market to new all-time highs.

The last time we saw such a rally was between November 1971 and February 1972. Of course, the “Nifty Fifty” rally preceded the 1973-74 bear market. Then, like today, a handful of stocks were driving the markets higher as interest rates were elevated along with inflation.

That 70s show

While there are many differences today versus then, there are reasons for concern.

The “New Nifty 50”

My colleague Albert Edwards at Societe Generale recently discussed the rising capitalization of the technology market.

I never thought we would get back to the point where the value of the US tech sector once again comprised an incredible one third of the US equity market. This just pips the previous all-time peak seen on 17 July 2000 at the height of the Nasdaq tech bubble.

What’s more, this high has been reached with only three of the ‘Magnificant-7’ internet stocks actually being in the tech sector (Apple, Microsoft, and Nvidia)! If you add in the market cap of Amazon, Meta, Alphabet (Google) and Tesla, then the IT and ‘internet’ stocks dominate like never before.”

US Technology Market Cap

Of course, there are undoubtedly important differences between today and the “Dot.com” era. The most obvious is that, unlike then, technology companies generate enormous revenues and profits. However, this was the same with the “Nifty-50” in the early 70s. The problem is always two-fold: 1) the sustainability of those earnings and growth rates and 2) the valuations paid for them. If something occurs that slows earnings growth, the valuation multiples will get revised lower.

While the economic backdrop has seemingly not caught up with technology companies yet, the divergence of corporate profits between the Technology sector and the rest of the market is likely unsustainable.

Technology EPS vs rest of the market

That inability to match the pace of expectations is already occurring. That divergence poses a substantial risk to investors.

US Trailing Technology EPS not keeping pace with estimates

Again, while the risk is somewhat evident, the “bullishness” of the market can last much longer than logic would predict. Valuations, as always, are a terrible market timing device; however, they tell you a lot about long-term returns from markets. Currently, the valuations paid for technology stocks are alarming and hard to justify.

However, despite valuations, those stocks can keep ramping higher in the short term (6-18 months) as the speculative flows continue.

Tech sector absorbing all market inflows.

However, over the next few months, some divergences and indicators suggest caution is advisable.

Technical Divergences Add To The Risk

Each weekend in the BullBearReport, investor sentiment is something that we track closely. The reason is that when investor sentiment is extremely bullish or bearish, such is the point where reversals have occurred. As Sam Stovall, the investment strategist for Standard & Poor’s, once stated:

“If everybody’s optimistic, who is left to buy? If everybody’s pessimistic, who’s left to sell?”

Currently, everyone is very optimistic about the market. Bank of America, one of the world’s largest asset custodians, monitors risk positioning across equities. Currently, “risk love” is in the 83rd percentile and at levels that have generally preceded short-term corrective actions.

Global Equity risk

At the same time, retail and professional investors are also exuberant, as noted on Tuesday.

“Another measure of bullish sentiment is comparing investor sentiment to the volatility index. Low levels of volatility exist when there is little concern about a market correction. Low volatility and bullish sentiment are often cozy roommates. The chart below compares the VIX/Sentiment ratio to the S&P Index. Once again, this measure suggests that markets are at risk of a short-term price correction.”

Sentiment / Vix ratio versus the market.

However, while everyone is exceedingly bullish on the market, the internal divergence of stocks sends warning signals. Andrei Sota recently showed that market breadth is weakening despite record highs. Note that prior market peaks were accompanied by peaks in the percentage of stocks above their 20, 50, and 200-day moving averages. To further hammer home this point, consider the following Tweet from Jason Goepfert of Sentimentrader:

Man, this is weird. The S&P 500 is within .35% of a 3-year high. Fewer than 40% of its stocks are above their 10-day avg, fewer than 60% above their 50-day, and fewer than 70% above their 200-day. Since 1928, that’s only happened once before: August 8, 1929.

market breadth

That negative divergence between stocks making new highs and the underlying breadth is a good reason to be more cautious with allocations currently.

As I started this commentary, “This is nuts.”

So Why Not Go To Cash

This analysis raises an obvious question.

“Well, if this is nuts, why not go to cash and wait out the correction and then buy back in.”

The best answer to that question came from Albert Edwards this week.

“I cast my mind back to 2000 where the narrative around the then IT bubble was incredibly persuasive, just as it is now. But the problem that skeptical investors have now, as they did in 1999, is that selling, or underweighting US IT, can destroy performance if one exits too early.”

Regarding speculative bull markets, as noted above, the “this is nuts” part can remain “nuts” for much longer than you think. Therefore, given that we have to generate returns for our clients or suffer career risk, we must be careful not to exit the markets too early…or too late.

Therefore, regardless of your personal views, the bull market that started in October remains intact. The speculative frenzy is still present. As such, we are reducing equity exposure modestly and rebalancing risk by following our basic procedures.

  1. Trim Winning Positions back to their original portfolio weightings. (ie. Take profits)
  2. Sell Those Positions That Aren’t Working. If they don’t rally with the market during a bounce, they will decline when it sells off again.
  3. Move Trailing Stop Losses Up to new levels.
  4. Review Your Portfolio Allocation Relative To Your Risk Tolerance. If you have an aggressive allocation to equities at this point of the market cycle, you may want to try to recall how you felt during 2008. Raise cash levels and increase fixed income accordingly to reduce relative market exposure.

Could I be wrong? Absolutely.

But a host of indicators are sending us an early warning.

What’s worse:

  1. Missing out temporarily on some additional short-term gains or
  2. Spending time getting back to even which is not the same as making money.

Opportunities are made up far easier than lost capital.” – Todd Harrison

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