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New To Investing? Vincent Chan Says Low-Cost Index Funds Are the Easiest Way to Get Started

New To Investing? Vincent Chan Says Low-Cost Index Funds Are the Easiest Way to Get Started

Yahoo28-06-2025
Investing is one of the common paths to long-term wealth, but it can feel complex if you are just getting started. Luckily, financial guru Vincent Chan recently revealed the simplest way to get started.
Not only is it easy to start investing based on Chan's advice, but his strategy has a proven track record of multiplying your money in the long run.
The Easiest Things To Invest In Are Low-Cost Index Funds' Chan explained in the video.
It sounds basic, but that doesn't make it a bad suggestion. Here's why index funds remain one of the most popular ways for people to invest.
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Index funds offer investors exposure to a basket of companies. Some index funds contain a few dozen companies, while other index funds contain hundreds of publicly traded corporations. A couple of index funds even have well over 1,000 stocks, offering broad exposure to the market.
You don't have to get the most diversified index fund to get good results. Some funds with 100 stocks perform better than funds with 500 stocks. The main strength of index funds is that they enable automatic portfolio diversification and streamline investing.
You don't have to research a bunch of stocks, know what to look for in a good stock or follow the news every day. A portfolio manager can do all of those things for you as your money grows in an index fund.
You can accumulate index funds in any investment account that lets you trade stocks. However, Chan suggests giving preference to tax-advantaged accounts like your 401(k), HSA, and Roth IRA when you make investments.
These accounts let you reduce your tax bill as you grow your investments. Traditional retirement accounts let you reduce your taxes right now, while you won't have to pay any taxes on withdrawals from your Roth IRA.
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Chan suggests investing any remaining money into a brokerage account once you have maxed out your tax-advantaged accounts. Investors should also monitor any changes the IRS makes to the maximum amount they can contribute to retirement accounts. You also get to make catch-up contributions to your retirement accounts the moment you turn 50.
Chan recommends looking for index funds that have low expense ratios. This ratio reflects the cost of holding the fund and having an investment firm manage it on your behalf. Passively managed ETFs that mirror benchmarks like the S&P 500 typically have low expense ratios. It's realistic to find passively managed ETFs that have expense ratios below 0.10%.
Investors can further explore index funds by analyzing their total returns. You can look at how much a fund has returned over the past five and ten years to gauge if it's consistent or volatile. It's also good to look at a fund's asset allocation to see if most of the stocks are in the tech sector or another industry.
Some investors also look at a fund's yield to see how much cash flow they will receive just by holding on to shares. While most investors shouldn't prioritize a fund based on its yield, receiving passive income from investments becomes more valuable as you get closer to retirement.
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$100k in assets? Maximize your retirement and cut down on taxes: Schedule your free call with a financial advisor to start your financial journey – no cost, no obligation.
Warren Buffett once said, "If you don't find a way to make money while you sleep, you will work until you die." Here's how you can earn passive income with just $100.
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This article New To Investing? Vincent Chan Says Low-Cost Index Funds Are the Easiest Way to Get Started originally appeared on Benzinga.com
© 2025 Benzinga.com. Benzinga does not provide investment advice. All rights reserved.
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The agency's product has been considered as the 'gold standard' for economic data, allegedly the best in the world, trusted by investors, and closely attended by the Federal Reserve. But its deficiencies are increasingly evident, which puts that trust at risk. The real problem on the table now is what should be done to shore up this institution, improve its deteriorating performance, and restore its Shock On August 1, the Bureau of Labor Statistics (BLS) issued a large downward revision of its estimate for the number of new jobs created in May and June. The original estimate for May was cut by 87%. The June estimate was cut by 90%. These revisions erased 258,000 jobs from the count. It was the largest two-month reduction since 1979 (except for the anomalous pandemic shock of March/April 2020). So far in 2025, the initial estimate has been revised downward for every month, wiping out a total of 461,000 job gains originally reported. You're Fired In response, President Trump fired Erika McEntarfer, a career bureaucrat who headed the BLS, which created a storm of controversy. The story has continued to occupy a prominent position in the news cycle for the past two weeks. Pro and con positions are starkly drawn: alleged manipulation, bias and incompetence at BLS on the one hand vs charges of political interference and attempted intimidation by the Administration on the other. The BLS claims for itself 'a well-earned reputation for producing gold standard data' – which these developments could seem to put at risk. Many economists, politicians and pundits were outraged, fearing that the mission and reputation of the BLS will now be compromised, with dire consequences for American financial markets — and even for democracy itself. The markets reacted with predictable signs of anxiety. Stock indexes fell, volatility jumped, and investors sought safety in bonds, pushing yields down. Much hand-holding was required. 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The first estimate released each month is always preliminary. It is revised the following month, and then revised again the month after that. The average adjustment after two months is about 50,000 jobs either added or subtracted from the original estimate, but often the change is much larger and may flip from positive to negative unexpectedly. In addition to the initial figure and the two monthly revisions, the BLS releases an 'annual benchmark revision' which revises the entire 12-month period ending in March. Actually, the BLS first releases a preliminary version of the benchmark in August, and then a final version the following January or February. So, the estimates for each month from April 2023 through March 2024 (the latest complete sequence) went through three estimates in the monthly cycle, and were then benchmark-revised twice more – preliminarily in August 2024, and finalized in February Revisions Jump Around Too Much One might expect the revisions to converge towards the 'true number.' But this does not seem to happen most of the time. For the most recent annual series from April 2023 through March 2024, the initial three monthly estimates were revised downward about 16% on average. Then the preliminary annual benchmark subtracted an additional 818,000 jobs – 'huge,' said The New York Times. Finally, in February of this year, the benchmark revision was itself revised one last time. The new number erased 'only' 589,000 jobs from the monthly estimates. Two observations emerge. This extended revision process itself – the fact that so many adjustments are needed, spread out over such a long period – certainly calls into question the integrity of the initial estimate at least – and it is precisely that first estimate that matters most to investors and policy-makers. The Precision Problem However, the more important flaw in the process emerges from the extreme variability or volatility of the revisions. Any measurement process strives for both accuracy and precision. They are not the same. Wikipedia puts it nicely: The jobs number revisions jump around a lot. The wide dispersion of the series of revised estimates for each particular month indicates a lack of precision in the measurement process. This can be quantified. Measuring Precision A common measure of the precision of a series of measurements is relative standard deviation or RSD (the standard deviation of the measurements as a percentage of the overall average of the measurements – also called the coefficient of variation). It is essentially the degree to which the repeated measurements differ from the mean. A standard statistical text describes it this way:What Quantified 'Precision' Means Statisticians have developed different benchmarks – expressed as maximum permissible RSD values – for different contexts. [Sources: General Mftg;Pharmaceutical Mftg;EPA; FAO; EURL; FDA;Covid] Exceeding these benchmarks triggers a range of characteristic concerns. [Sources: 1,4; 2; 3; 5,6] One expert, reflecting on personal experience, put it more colorfully. Modern industrial quality control processes are generally successful in conforming to these Levels for the BLS Jobs Numbers The BLS numbers don't make the grade. If we treat these revisions as repeated attempts to measure the same thing, we can apply the RSD as a heuristic device. If we compare the initial estimate with the third estimate two months later, the deviations are far above the levels cited as maximum safe thresholds by the sources mentioned above. In the last three years the RSD for these revisions reached 71%.The variation in the annualized benchmark figures is worse. The RSD is 95% for the revisions from 2003-2024. This is surprising since the benchmark final revision represents the fifth attempt to pin down the true number, and yet the volatility in the signal seems to Or Excuses Why does this high level of volatility occur? Two reasons are commonly given. The BLS relies on surveys of businesses and households for much of its data – but survey response rates have other words, fewer than half of those surveyed are providing a response. Eventually this must undermine data integrity. This growing nonresponse problem will also exacerbate the volatility BLS has committed to releasing the nonfarm payroll number as fast as possible. Each month's number is issued on the first Friday of the following month. Sometimes this means the release can occur on the very first day of the next month (as happened when the July 2025 numbers were issued on August 1). It is the fastest regular cycle for the production and release of any major economic indicator. It sets up what The Wall Street Journal calls 'a difficult trade-off between speed and accuracy.' The time period for data collection ranges between 10 and 16 days, and some businesses may not be able to report within that period. For example, businesses that pay employees monthly instead of biweekly may not be able to report their data ahead of the deadline. In recent cycles only about 2/3rds of businesses surveyed have been able to respond in time. The BLS seems to believe that timeliness is paramount, even though the result is an incomplete (and often half-baked?) product. Mainstream Critiques The problems cited here are well-known in the profession. Just two days before McEntarfer's firing, a bipartisan group of 88 top-tier economists, representing most of the leading universities in the U.S., as well as many former top government officials and heads of several prominent think-tanks, submitted a letter to Congress which was politely but openly critical of the BLS. An influential financial blogger agreed. In May, Science magazine addressed the subject in its lead editorial. Mohammed El-Erian, a prominent economic pundit, reviewed the furor, and acknowledged the institutional Sum Deplore all political motives, and ignore the histrionics on both sides. Stipulate, for clarity, that the data is not 'rigged.' (That would be organizationally impossible.) Allow that the firing of a career bureaucrat may have been unfair and unproductive. Discount for all of that, and you still have a half-broken system that generates grossly inadequate and misleading information on the state of the labor market – creating risks for investors and policy-makers. The theme of the non-partisan critics of the BLS is the need for modernization of its processes. It is long overdue. The Bureau of Labor Statistics is the classic Old Dog that hasn't been able to learn the New Tricks. It began gathering statistics on employment and labor conditions in the United States when Grover Cleveland was President. It is still using data collection strategies and techniques that were developed decades ago in a very different technological era, and which no longer work very well. As the economists' letter suggests, the BLS has failed to keep pace with the digital transformation of the economy – citing especially the 'advent of artificial intelligence [which] promises to revolutionize how data are both produced and consumed.' 'Revolutionizing the BLS' is a hopeful goal – but Bureaucracy and Revolution are two words that are not generally found in the same sentence. Perhaps the impetus for change will have to come from outside rather than from within. In any case, the reckoning is timely and necessary.

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