Jio Financial Services shares rose to Rs 262.65 apiece on Monday, extending a more than 10% jump in a week. The company paid a dividend of Rs 0.5 per share to its shareholders last year. After announcing the latest dividend in April this year, the stock currently has a dividend yield of 0.19%, according to data on Trendlyne.

Fixing the record date as August 10 means that only shareholders who own the company’s shares in their demat accounts as of August 10 (next Monday) will be eligible to receive the dividend, subject to shareholder approval at the upcoming Annual General Meeting (AGM).

Earlier this month, Jio Financial Services reported 155% year-on-year (YoY) jump in its consolidated net profit at Rs 830 crore in the first quarter of FY27, while revenue from operations increased 227% YoY to Rs 2,004 crore during the quarter under review.

Consolidated total income rose 141% YoY to Rs 1,496 crore from Rs 619 crore. It was up 47% from Rs 1,020 crore in the March quarter. Interest income grew 165% YoY to Rs 962 crore, while fees and commission income surged to Rs 325 crore from Rs 54 crore.

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Also read | Jio Financial Services sets record date for dividend. Check details

Jio Financial Services share price

Jio Financial Services shares had jumped nearly 4% to close at Rs 256 apiece on Friday. The stock gained more than 10.5% in a week and over 9% in a month. However, it is down nearly 12% in 2026 so far.
In the longer term, the shares of the company have fallen around 21% in a year. The company currently has a market capitalisation of more than Rs 1.73 lakh crore.Motilal Oswal has a Buy rating on Jio Financial Services with a target price of Rs 315 apiece. The brokerage said the company delivered a healthy quarter, driven by strong growth in Jio Credit, whose assets under management (AUM) crossed Rs 300 billion.

It also highlighted steady progress across the payments, insurance, and asset management businesses, although operating expenses remained elevated due to continued investments in incubating new businesses and expanding existing operations. Motilal Oswal cut its FY27 and FY28 EPS estimates by 4% and 6%, respectively, to account for higher operating costs, but expects consolidated PAT to grow at a 46% CAGR between FY26 and FY28.

Also read | For investors with some patience: 6 mid-cap stocks from different sectors with upside potential of up to 20%

(Disclaimer: Recommendations, suggestions, views and opinions given by the experts are their own. These do not represent the views of The Economic Times)

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Warren Buffett’s decades-old advice to put money into low-cost S&P 500 index funds remains one of the most widely followed pieces of investment guidance in the world. But as the index has grown increasingly dominated by a small handful of technology giants, analysts say the strategy today carries different risks than when Buffett first popularized it. Here are 10 things to know about the guidance and how it applies to today’s market.

1. The advice traces back to Buffett’s 2013 shareholder letter. In that letter, Buffett instructed the trustee overseeing a bequest to his wife to allocate 90% of the funds to a low-cost S&P 500 index fund, with the remaining 10% directed toward short-term U.S. government bonds. He recommended Vanguard specifically, though he did not name a particular fund or ticker.

2. VOO is widely seen as the closest match to Buffett’s description. Vanguard’s S&P 500 ETF, trading under the ticker VOO, carries an annual expense ratio of just 0.03%, among the lowest available for a fund tracking the index, and aligns closely with the kind of low-fee vehicle Buffett described in his original guidance.

3. Technology now dominates the index far more than it once did. According to recent index weighting data, technology stocks make up roughly 37% of the S&P 500. Just three companies, Apple, Nvidia and Microsoft, together account for roughly 20% of the entire index’s value, meaning a large share of any S&P 500 index fund’s performance now hinges on the fortunes of a small handful of mega-cap technology firms.

4. That concentration has grown dramatically since Buffett first gave the advice. Ten years ago, the S&P 500’s 10 largest stocks represented just 15.3% of the index’s total market capitalization. Five years after Buffett’s 2013 letter, that figure had risen to 27.2%. Today, according to MacroMicro data, the top 10 stocks account for roughly 37.5% of the index, down slightly from an all-time high near 43% reached earlier this year, but still among the highest concentration levels in the index’s history.

5. Artificial intelligence spending is now a major driver of index-wide earnings. Goldman Sachs has forecast that companies tied to artificial intelligence could contribute roughly half of the S&P 500’s overall earnings growth in 2026. That dependence means a slowdown in AI-related capital spending or disappointing earnings from a handful of mega-cap technology companies could weigh disproportionately on the entire index, a risk that did not exist to the same degree when Buffett first offered his recommendation.

6. Long-term return expectations for U.S. stocks have moderated. Vanguard’s broad U.S. equity return model now projects 10-year annualized returns of between 4.2% and 6.2%, down from an earlier forecast range of 4.9% to 6.9%, reflecting the impact of higher current valuations on expected future returns. By comparison, the iShares Core S&P 500 ETF, trading under the ticker IVV, posted an annualized gain of 15.47% over the 10 years ending in June, a pace analysts generally view as unlikely to be sustained indefinitely.

7. Current valuations remain a point of debate among analysts. According to FactSet data, the S&P 500 currently trades at a price-to-earnings ratio of 19.6, a level some analysts view as elevated relative to historical averages, though others argue current earnings growth, particularly among AI-linked companies, helps justify the higher multiple.

8. Money continues flowing into S&P 500 index funds at record levels. Vanguard’s VOO recently became the first exchange-traded fund in history to surpass $1 trillion in assets under management. According to data cited by Reuters, the fund has attracted roughly $69 billion in net inflows so far in 2026, following $118 billion in 2024 and $138 billion in 2025, with no other ETF attracting more investor money this year.

9. Experts generally still endorse the strategy despite the added concentration risk. Analysts writing for outlets including the Motley Fool and 24/7 Wall St. have said Buffett’s underlying advice remains sound in principle, since S&P 500 index funds continue to offer low costs and broad exposure to the U.S. economy. But those same analysts caution that investors should understand the fund no longer provides the same level of diversification it once did, given how heavily its performance now depends on a small group of dominant technology companies.

10. Buffett himself has continued monitoring risk within specific holdings tied to his broader philosophy. In more recent commentary, Buffett has reportedly cautioned about the risks tied to specific high-profile stocks, including SpaceX, following sharp declines in that company’s share price after its public listing, reflecting his continued attention to volatility and valuation risk even within widely held names.

Analysts broadly agree that Buffett’s core message, favoring low fees, broad diversification and long-term patience over active trading, remains valid advice for the average investor. But they emphasize that today’s S&P 500 looks meaningfully different from the one Buffett first pointed to in 2013, and that investors relying on the index for diversification should understand just how concentrated their exposure to a handful of technology giants has become, particularly if they are also invested in other tech-heavy benchmarks such as the Nasdaq Composite.

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Consumers’ behaviors change due to new technologies, trends, economic environment, and customer needs. Organizations unable to track these changes often experience difficulties with competitiveness, while firms capable of doing this can respond quickly and thus improve customer experience and increase revenues.

Today’s consumers expect a personalized approach, faster services, an efficient digital experience, and customized products.

Monitoring changes in consumer behaviors can help organizations to learn how customers find products, compare different offers, buy items, interact with companies, and behave after sales. In turn, this information is useful to enhance marketing initiatives, design innovative solutions, offer high-quality support, and retain customers.

What is the concept of consumer behavior?

Consumers’ behaviors are the actions, decisions, and emotional reactions of customers during each step of their purchasing journey. They include:

• How do consumers search for the required goods and services?
• What factors influence people’s choices in favor of one brand rather than another?
• Which channels are the main ones for customers?
• How do consumers react to marketing and advertising efforts?
• Why do clients stop making purchases?
• How do customers use the purchased goods or services?
• What causes them to make new orders?

Consumer behaviors involve offline and online activities. Companies examine customers’ visits to websites, social media profiles, search histories, app usage, reviews left by consumers, purchase histories, and customer service interactions to learn more about clients and their needs. Businesses often combine these insights with data collected through social listening tools to better understand customer sentiment and online engagement patterns.

Through behavioral monitoring, firms can detect changes, predict new trends, and adapt to evolving consumer needs.

Why is monitoring consumer behavior important?

Knowing customers’ behaviors allows businesses to compete successfully by providing a better customer experience, improving products, and developing effective marketing campaigns.

Improving Personalization

Nowadays, consumers require more personalized approaches. Firms use behavioral data to personalize product recommendations, marketing campaigns, emails, and other elements of their websites.

For example, streaming service providers examine video-watching behaviors of customers to come up with content recommendations. E-commerce companies use data collected about the browsing and purchasing activity of customers to recommend additional items.

Personalized customer experience increases satisfaction and boosts revenues since customers tend to purchase products that correspond to their interests and needs.

Improving Marketing Performance

Through monitoring consumers’ behaviors, organizations get to know which marketing campaigns are more successful and efficient. Businesses may understand what audiences should be addressed by particular campaigns, on what channels ads work better, what types of marketing messages catch consumers’ attention, and which factors motivate people to buy a product.

Thus, marketing specialists are able to run targeted campaigns and save resources. For instance, a company selling vacations can find out that middle-aged women living on the West Coast react well to ads offering travel packages to Hawaii. In such a case, this firm would be able to develop targeted marketing campaigns aimed at this target audience.

Effective personalization usually brings significant profit. As recent studies demonstrate, organizations using personalized marketing strategies tend to receive a much higher return on investment than companies utilizing generic campaigns.

Tip: Small businesses may rely on basic analytics or manual research to understand customer preferences and online engagement. However, as customer conversations grow across multiple channels and regions, larger organizations often turn to enterprise platforms such as Sprinklr Social Listening tool to analyze customer sentiment, monitor brand perception, identify emerging trends, and gain deeper insights into consumer behavior at scale

Key ways businesses use to monitor consumer behaviors

Firms apply different methods to track customer behaviors in the process of researching and analyzing them.

Quantitative Research

The primary purpose of quantitative research is to measure numerical indicators. Businesses examine various metrics, including:

• Number of sales
• Conversion rate
• Retention rate
• Click-through rate
• Purchase frequency
• Average purchase size

Using this method of research allows firms to spot global trends in the behavior of large audiences.

For example, a retail company may notice that mobile sales have risen by 40% over the last year. It shows consumers’ preferences for mobile purchasing processes.

Qualitative Research

The goal of qualitative research is to uncover emotions, motivations, and perceptions of consumers. Researchers conduct interviews, focus groups, open questionnaires, and user testing to understand how people act.

For example, customers could tell why difficult navigation or slow-loading pages prevent them from finishing the purchasing process. Such insights can contribute greatly to improving customer experience.

Predictive Analytics

Predictive analytics is a set of technologies used for predicting future behaviors of customers. Organizations use this tool to predict:

• Possibilities to convert leads into clients
• Chances of customers’ churn
• Product demand
• Customer lifetime value
• Clients’ response to special offers

Predictive AI systems enable businesses to take care of customer needs beforehand.

For example, a company may discover that some customers show symptoms of dissatisfaction or loss of interest. In such a situation, businesses can run a campaign aimed at retaining clients.

Customer Journey Mapping

Customer journey mapping is a technique allowing businesses to trace every interaction of customers with a firm. Such interactions may relate to:

• Ads seen by customers
• Social media interactions
• Website visits
• Contacts with customer support
• Payment process
• Interactions that occur after the purchasing process

Customer journey mapping helps firms to detect points that cause trouble for users and prevent them from completing the desired actions.

For example, a company may find out that a lot of users leave websites without buying goods because of complicated registration. To avoid losing potential customers, firms need to optimize these processes.

New AI systems for customer journey mapping analyze data coming from surveys, phone calls, client reviews, and other interactions to detect key touchpoints. Many organizations also integrate social listening tools into journey mapping strategies to identify customer concerns and trending discussions across online communities.

Cohort Analysis

In cohort analysis, clients are divided into groups based on their common traits or events and monitored for changes in behavior. Cohorts may consist of people who:

• Bought something in a certain month
• Are customers from a particular marketing campaign
• Live in certain regions
• Belong to a specific age group
• Have started subscriptions at a certain point in time

Analyzing cohorts makes it possible to see general behavioral tendencies and draw conclusions from them.

For example, an organization could find out that clients recruited via influencer marketing remain loyal for a much longer period than those obtained via paid search ads.

Cohort analysis gives businesses an understanding of how marketing campaigns affect retention rates and customer lifetime value.

Conclusion

Monitoring changes in consumer behavior has become critical for modern organizations. By discovering customers’ behaviors, businesses may be able to develop efficient marketing campaigns, invent innovative products, offer good support, and establish connections with clients.

Organizations obtain valuable data on customer behaviors from their websites, mobile apps, CRM systems, social media, interactions with customer support services, surveys, and AI-powered analytical platforms. Combining the methods of qualitative and quantitative research allows organizations to learn more about customers and their needs. The use of social listening tools further helps companies track customer opinions, industry trends, and brand reputation in real time.

Technologies, such as predictive analytics, customer journey mapping, cohort analysis, and A/B testing, help companies identify important tendencies and predict future trends.

Director with family-run housebuilder Llanmoor Homes, Tim Grey, on what the Welsh Government should focus on to support much needed new home development

The Plaid Cymru has been in government for more than two months now and its ministers are starting to get to grips with the serious business of running Wales.

The Welsh Government faces a series of challenges more acute than at any time since devolution, with areas like the economy, health and education all demanding urgent attention.

However, one of the key priorities in this Senedd term must be housing. Wales is facing an ongoing housing crisis, with a shortage of homes across all areas of the country, and if the new government doesn’t rise to the challenge, it risks significant damage to the future wellbeing of Wales.

During the election campaign, it was very positive to see broad agreement across all the political parties that more new homes must be built, even if they differed on how to achieve this.

But what wasn’t discussed as much was the importance of open market homes and the role that private sector housing developers can play in this crucial national mission.

Here are some of the issues that must be addressed by the new Welsh Government when it comes to housing:

1. Build more homes for the open market

The reality is that housing supply has not kept pace with demand, and without meaningful intervention this imbalance will continue to affect affordability and access to homeownership.

While social housing targets remain important, they represent only part of the solution. Plaid has already allocated an additional £20m of funding for the delivery of new social homes in its supplementary budget (though as it lost the vote it remains to be seen what happens with this). Increasing the supply of high-quality open market homes must sit alongside these ambitions if the overall housing challenge is to be addressed effectively.

Delivering this will require a more streamlined and responsive planning process, supported by a pro-development mindset across both the Welsh Government and local authorities. Housing should be recognised not as a constraint, but as a catalyst for sustainable economic growth and stronger communities.

2. Fix the planning system

The current planning system in Wales is not operating as efficiently as it needs to. Securing consent for developments can take significant time and often involves unnecessary complexity, in part due to under-resourced local authority planning departments.

Plaid pledged to reform planning in its manifesto, including giving communities more power over development and review the use of Section 106 agreements.

While we wait to see what this looks like in practice, there is a clear need to reduce barriers and create a more supportive environment for delivering new homes. A key priority should be the widespread adoption and timely updating of Local Development Plans (LDPs), providing greater certainty for development over the medium to long term.

Where land has already been allocated for housing within an LDP, there should be a clear presumption in favour of development. Providing this level of clarity would help unlock sites more quickly and ensure that opportunities to deliver new homes are not unnecessarily delayed.

3. Support small and medium-sized housebuilders

The number of SME housebuilders operating in Wales has declined significantly in recent decades, reflecting the growing challenges smaller firms face. Rising costs, complex regulation and barriers to accessing finance have all contributed to a more concentrated market.

A less diverse housebuilding sector risks limiting both the pace and the variety of homes being delivered. Smaller developers often play a vital role in bringing forward sites that larger firms may overlook, as well as responding more directly to local housing needs.

Supporting SMEs through improved access to finance, proportionate regulation and incentives for smaller site development would help restore balance to the market and increase overall delivery. A more diverse sector is not only economically beneficial but essential to meeting Wales’s housing needs.

Taken together, these issues highlight the scale of the challenge, but also the opportunity facing the new Welsh Government. With the right policy framework, a more efficient planning system and a commitment to supporting the full breadth of the housing sector, meaningful progress can be made.

Housing is not simply one policy area among many. It underpins economic growth, social mobility and the overall wellbeing of communities across Wales. Addressing the housing crisis must remain a central priority in this Senedd term, with sustained focus and collaboration between government and industry to deliver the homes the country urgently needs.

• Tim Grey is sales director at Pontyclun-baed Llanmoor Homes.

New analysis of data from the Hubble Space Telescope suggests the Andromeda galaxy, humanity’s nearest large galactic neighbor, is gradually winding down from a dramatic burst of star formation that occurred roughly 2 billion years ago, offering astronomers fresh clues about how large spiral galaxies evolve over time.

Andromeda, also known by its catalog designation M31, sits roughly 2.5 million light-years from Earth in the constellation of the same name. It stands out as the only major galaxy in the universe currently moving closer to the Milky Way rather than speeding away, and its comparatively close proximity makes it an especially valuable laboratory for studying galaxy formation and evolution.

The new study, published July 27 in The Astrophysical Journal, combined two major Hubble surveys that together mapped roughly two-thirds of Andromeda’s disk, capturing detailed data on approximately 200 million individual stars. Researchers found that Andromeda’s star formation rate has been steadily declining over the past 500 million years. Roughly 500 million years ago, the galaxy was forming stars at a rate of approximately one solar mass per year. By 40 million years ago, that rate had fallen by half, and the current rate has dropped further still, to just one-fifth of a solar mass annually.

Andromeda is a giant spiral galaxy broadly similar in structure to the Milky Way but roughly twice as massive. Scientists already knew the galaxy experienced a dramatic burst of star formation approximately 2 billion years ago, an event thought to have produced roughly a fifth of all the stars currently within Andromeda. That earlier starburst is believed to have resulted from a merger with another galaxy, most likely the compact elliptical galaxy M32, which continues to orbit Andromeda today.

The new research found that most of Andromeda’s recent star formation activity has been concentrated within a ring located roughly 32,000 light-years from the galaxy’s center, and that declining activity specifically within this ring accounts for the bulk of the overall slowdown observed across the galaxy. That pattern suggests Andromeda is gradually settling down from its earlier burst of star formation rather than abruptly running out of the raw material needed to form new stars.

Researchers also examined whether Andromeda’s companion galaxy, M32, may have played a role in the observed slowdown. Regions of Andromeda located closest to M32 show a more recent decline in star formation activity compared with other parts of the galaxy, raising the possibility that the smaller companion galaxy has influenced the broader trend. Even so, the researchers described the evidence connecting M32 directly to the slowdown as inconclusive based on current data.

Ben Williams, an astronomer at the University of Washington and a co-author of the study, explained why Hubble’s specific capabilities made this kind of detailed stellar analysis possible. “We need to measure the individual stars because they are the fossil record of the galaxy’s formation,” Williams said in a statement released by NASA. “Hubble is the only telescope that can give you high enough spatial resolution over a large enough area to be able to do that in Andromeda.”

While the research team plans to continue mining Hubble’s existing data archive for additional insights, they are also preparing to incorporate observations from NASA’s upcoming Nancy Grace Roman Space Telescope, currently scheduled to launch aboard a SpaceX Falcon Heavy rocket as soon as Aug. 30. With a field of view at least 100 times larger than Hubble’s, the Roman telescope is expected to survey the entirety of the Andromeda galaxy and its surrounding halo in unprecedented detail once operational, potentially resolving some of the open questions the current study was unable to fully answer, including the precise role M32 may have played in Andromeda’s star formation decline.

For skywatchers hoping to observe Andromeda themselves, the galaxy is best viewed during the month of November and remains visible to the naked eye even from locations experiencing moderate light pollution, given its status as the most distant object generally visible without a telescope or binoculars.

Looking further ahead, Andromeda’s continued approach toward the Milky Way is expected to eventually culminate in a galactic collision, an event astronomers estimate could occur roughly 5 billion years from now, though the galaxy’s precise long-term trajectory and the ultimate outcome of any such collision remain uncertain given the complex gravitational interactions at play between the two galaxies and their surrounding satellite systems.

With the new findings adding to a growing body of research examining how Andromeda’s stellar populations formed and evolved over billions of years, astronomers say the combination of continued Hubble analysis and the forthcoming Roman Space Telescope observations should provide an increasingly detailed picture of how the galaxy has changed over cosmic time, offering broader insight into the life cycles of large spiral galaxies throughout the universe, including our own Milky Way.