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What is the 50/30/20 budgeting rule? The method is one of many budgeting strategies

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The 50/30/20 rule is a beginner-friendly budget guide you can start following today. 

The 50/30/20 rule provides a way to simply break up your after-tax income. With this rule, there are three different “buckets” your money falls into. These buckets are needs, wants and savings. 

With this rule, 50% of your income will go toward your needs. This includes things that you absolutely have to pay for, such as your rent/mortgage, transportation costs, food and minimum payments on debt.

young woman on laptop

To implement the 50/30/20 rule, put aside 50% of your income for needs, 30% for wants and 20% for savings. (iStock)

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The next category is your wants, which 30% of your income can go toward. This includes things like self-care, vacation, new electronics and other purchases of that nature.

The last category is your savings. Now, one of the most important and first savings goals you should have is an emergency fund.

An emergency fund is complete once you have three to six months of living expenses in that account. If an emergency comes your way, and you need to use some or all of the money in your account, your first savings priority should go back to getting that account funded again.

Child counts coins in glass jars labeled savings, toys and education.

With the 50/30/20 rule, your money is split into theoretical “buckets.” (iStock)

Other things you can put your 20% toward are a savings account designated for a down payment on a home, investments or even paying your debts down even faster by putting more than the minimum balance due toward them. 

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This method of budgeting is favored by many because of how simple and easy it is to incorporate into your day-to-day life. 

With this method, you’ll be able to track your month-to-month spending, as well as prioritize saving. 

Below is an example of how much money would fall into each account based on a nicely rounded $5,000 monthly take-home pay. 

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Money for needs (50%): $5,000 x .5 = $2,500

Money for wants (30%): $5,000 x .3 = $1,500

Money for savings (20%): $5,000 x .2 = $1,000

Now, keep in mind that this method is a great base, but if you find, for example, that your needs don’t add up to 50% of your take-home pay, then use that extra money to pay down your debts quicker or fund your savings. 

Also, remember that budgeting isn’t one size fits all. This method may work well for some and not for others. It may take trial and error to figure out what method works best for you.

people at work

There are so many ways to budget your money. Keep trying different methods until you find the one that works best in your life. (iStock)

One helpful tactic to keep in mind with this method is automating as much as you can to give you peace of mind. 

For example, have 20% of your savings automatically taken out of your account every month and put into savings. That way, you don’t have to worry about doing it manually. You’ll get in the routine of that money being put aside and not spent another way.

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Stocks making the biggest moves premarket: MS, CSCO, ASML

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Morgan Stanley (MS) earnings Q3 2024

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Ted Pick, CEO Morgan Stanley, speaking on CNBC’s Squawk Box at the World Economic Forum Annual Meeting in Davos, Switzerland on Jan. 18th, 2024.

Adam Galici | CNBC

Morgan Stanley topped analysts’ estimates for third quarter profit as its wealth management, trading and investment banking operations generated more revenue than expected.

Here’s what the company reported:

  • Earnings:$1.88 a share vs $1.58 LSEG estimate
  • Revenue: $15.38 billion vs. $14.41 billion estimate

Morgan Stanley had several tailwinds in its favor. The bank’s massive wealth management business was helped by high stock market values in the quarter, which inflates the management fees the bank collects.

Investment banking has rebounded after a dismal 2023, a trend that may continue as easing rates will encourage more financing and merger activity.

Finally, its Wall Street rivals have posted better-than-expected trading results, making it unlikely that the firm missed out on elevated activity.

JPMorgan Chase, Goldman Sachs and Citigroup topped expectations, helped by better-than-expected revenue from trading or investment banking.

This story is developing. Please check back for updates.

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China’s Alibaba claims AI translation tool beats Google, ChatGPT

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Chinese e-commerce company Alibaba has invested heavily in its fast-growing international business as growth slows for its China-focused Taobao and Tmall business.

Nurphoto | Nurphoto | Getty Images

BEIJING — Chinese e-commerce giant Alibaba‘s international arm on Wednesday launched an updated version of its artificial intelligence-powered translation tool that, it says, is better than products offered by Google, DeepL and ChatGPT.

That’s based on an assessment of Alibaba International’s new model, Marco MT, by translation benchmark framework Flores, the Chinese company said.

Alibaba’s fast-growing international unit released the AI translation product as an update to one unveiled about a year ago, which it says already has 500,000 merchant users. Sellers based in one country can use the translation tool to create product pages in the language of the target market.

The new version is based only on large language models, allowing it to draw on contextual clues such as culture or industry-specific terms, Kaifu Zhang, vice president of Alibaba International Digital Commerce Group and head of the business’ artificial intelligence initiative, told CNBC in an interview Tuesday.

“The idea is that we want this AI tool to help the bottom line of the merchants, because if the merchants are doing well, the platform will be doing well,” he said.

Large language models power artificial intelligence applications such as OpenAI’s ChatGPT, which can also translate text. The models, trained on massive amounts of data, can generate humanlike responses to user prompts.

Alibaba’s translation tool is based on its own model called Qwen. The product supports 15 languages: Arabic, Chinese, Dutch, English, French, German, Italian, Japanese, Korean, Polish, Portuguese, Russian, Spanish, Turkish and Ukrainian.

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Zhang said he expects “substantial demand” for the tool from Europe and the Americas. He also expects emerging markets to be a significant area of use.

When users of Alibaba.com — a site for suppliers to sell to businesses — are categorized by country, developing countries account for about half of the top 20 active AI tool users, Zhang said.

Chinese companies have increasingly looked abroad for growth opportunities, especially e-commerce merchants. PDD Holdings‘ Temu, fast fashion seller Shein and ByteDance’s TikTok are among the recent global market entrants. Many China-based merchants also sell on Amazon.com.

Contextual clues

Since Alibaba launched the first version of its AI translation tool last fall, the company said merchants have used it for more than 100 million product listings. Similar to other AI-based services, the basic pricing charges merchants by the amount of translated text.

Zhang declined to share how much the updated version would cost. He said it was included in some service bundles for merchants wanting simple exposure to overseas users.

His thinking is that contextual translation makes it much more likely that consumers decide to buy. He shared an example in which a colloquial Chinese description for a slipper would have turned off English-speaking consumers if it was only translated literally, without getting at the implied meaning.

“The updated translation engine is going to make Double 11 a better experience for consumers because of more authentic expression,” Zhang said, in reference to the Alibaba-led shopping festival that centers on Nov. 11 each year.

Alibaba’s international business includes platforms such as AliExpress and Lazada, which primarily targets Southeast Asia. The international unit reported sales growth of 32% to $4.03 billion in the quarter ended June from a year ago.

That’s in contrast to a 1% year-on-year drop in sales to $15.6 billion for Alibaba’s main Taobao and Tmall e-commerce business, which has focused on China.

The Taobao app is also popular with consumers in Singapore. In September, the app launched an AI-powered English version for users in the country.

Nomura analysts expect that Alibaba’s international revenue slowed slightly to 29% year-on-year growth in the quarter ended September, while operating losses narrowed, according to an Oct. 10 report. Alibaba has yet to announce when it will release quarterly earnings.

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