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Nifty underperformance: why India lagged global peers

Indian equities have been a frequent topic on Reddit and finance X in early 2026 for one reason - the gap versus global peers. Much of the debate is not about India’s long-term story, but about why returns have stayed muted while other markets rallied. Commentators repeatedly link the underperformance to foreign selling, currency drag, and India’s limited exposure to the global AI-led trade. Another thread running through the discussion is that headline indices have gone through time-wise consolidation after a strong multi-year run. Below are the main reasons repeatedly cited in these discussions, using only the data and viewpoints shared in the trending context.

What investors mean by “Nifty underperformance”

The conversation is about relative returns, not just whether Nifty is up or down. Posts note that the Nifty 50 is down nearly 3% month-to-date at the start of 2026, while several global peers have done better over comparable windows. Choice Institutional Equities data cited in the discussion says the Nifty 50 declined 6.1% over the past 18 months. At the same time, the longer track record still looks healthier, with a 3-year CAGR of 11.2% and a 5-year CAGR of 10.6% as quoted from the same source. That contrast is part of why the topic is trending, because the near-term picture does not match the longer-term narrative. Several posts frame the last 15 months as a “stall” after the September 2024 peak. The broad idea is that India did not collapse, but did not keep pace either. This has pushed investors to ask what changed in the last two years.

Foreign selling and the pull of higher US yields

A core explanation across posts is sustained FII-FPI outflows. Ajay Garg of SMC Global Securities is quoted saying India’s relative underperformance is largely driven by sustained FII outflows and sectoral imbalances. He links the selling to geopolitical tensions and to higher US bond yields in the 4.3%-4.5% range, which can improve the risk-reward for global capital outside equities. Another set of comments says global investors have found “better global opportunities” and are diverting capital away from India. One quote adds that foreign investors have been consistent sellers, which can dominate marginal price setting in large-cap indices. The context also states that outflows in 2026 so far were nearly ₹1.8 lakh crore. Singh’s remarks in the provided context describe the current wave as a mix of cyclical profit-booking and a deeper structural shift in how global investors perceive India. That matters for expectations, because it suggests flows may stay choppy rather than rebound sharply.

Currency drag: why USD returns can look worse

Currency is repeatedly cited as a second layer of underperformance. Ajay Garg notes that a 2%-3% rupee depreciation reduced foreign investor returns and helped keep markets subdued even with strong domestic inflows and 6%-7% GDP growth expectations. Other posts quantify a bigger move across longer windows, saying the rupee depreciated about 9% over the past three years and 25% over five years. A separate “dollar trap” narrative highlights that the INR fell by over 8% since September 2024 and recently breached the 90 level against the US dollar in that discussion. The key point is that when the currency weakens, the same Nifty return converts into a lower USD return. Some posters argue this becomes self-reinforcing, because selling pressure can weaken the rupee, which then deters incremental foreign buying. That loop is referenced in the context as a negative feedback mechanism. This makes currency stability a bigger variable in the underperformance debate than it was during earlier upcycles.

Sector mix: India missed the global AI-led market leadership

Another widely repeated reason is that global leadership has been narrow and tech-heavy, while India’s index composition is different. Ajay Garg contrasts the US, where tech and AI stocks fuel growth, with India where financials and consumption dominate, limiting broader upside in a year when AI themes drove global markets. Choice Institutional Equities is also cited saying India lacks significant representation in “sunrise” sectors such as AI, data centres, robotics, and semiconductor manufacturing, which are attracting global capital. This is not just a narrative issue, because global asset allocators often chase the best-performing themes. The context explicitly calls India an “AI loser” in a year when “AI winners” like the US, China, Taiwan and South Korea gained substantially. Some posts go further and claim FIIs sold India to fund the AI trade elsewhere, which fits with the flow-and-sector story discussed above. The result, in these discussions, is a structural mismatch between what global investors wanted to own and what Nifty offered in size and liquidity. That mismatch can show up as relative index underperformance even if domestic sectors remain stable.

Earnings and valuations: a reset after a strong run-up

Multiple comments argue that valuations stayed elevated even as returns softened. Investing.com is cited saying rich valuations, demanding earnings expectations, and limited exposure to global market themes weighed on investor returns. A TOI-cited view from VK Vijayakumar adds that earnings growth was in single digits over the last six quarters, and that “in the long run, the market is a slave of earnings.” One post gives a specific figure, saying earnings growth dipped to 6% in FY25 after a stronger phase earlier. The same broader thread frames the correction from the September 2024 peak as a mean-reversion response to weaker earnings momentum. There is also discussion of valuation compression, including a forward P-E of 19-20x versus 22x-23x at the September 2024 peak, as quoted by Sunny Agrawal. Another metric shared is the compression in Nifty’s valuation premium versus MSCI EM from 80% in September 2024 to 47% in December 2025, below the 10-year average of 57%. Together, these points frame the last two years as a valuation and earnings reset rather than a single shock.

Data point discussedPeriod mentionedFigure citedAttributed in context to
Nifty 50 changePast 18 months-6.1%Choice Institutional Equities
Nifty 50 CAGR3-year11.2%Choice Institutional Equities
Nifty 50 CAGR5-year10.6%Choice Institutional Equities
US bond yieldsRecent range4.3%-4.5%Ajay Garg, SMC Global Securities
FPI outflows2026 so farNearly ₹1.8 lakh croreStatement cited in context
INR depreciationPast 3 years~9%Statement cited in context
INR depreciationPast 5 years~25%Statement cited in context
Nifty premium vs MSCI EMSep 2024 to Dec 202580% to 47%Sunny Agrawal, SBI Securities (via TOI)

Macro and policy overhangs that kept risk appetite low

The context lists several macro vulnerabilities that investors keep bringing up. Choice Institutional Equities flags risks tied to fluctuations in credit growth, weather-induced inflation, and uneven consumption demand. It also highlights external risks like volatile crude prices, supply chain disruptions, and tariff uncertainties. Several posts link this to the idea that India’s risk premium can rise quickly when oil prices are elevated. Trade policy features heavily as well, including uncertainty around US-India trade deal timelines in the commentary cited. Another part of the context claims the United States imposed a total of 50% tariffs on India, including a 25% tariff tied to purchases of Russian oil, and argues that such measures affect sentiment for export-linked sectors. There is also mention of taxation concerns and ease-of-investing hurdles as additional reasons some global funds cite for allocating elsewhere. None of these points alone explains index performance, but together they add friction to foreign risk-taking. In the social-media debate, that friction shows up as fewer sustained rallies and more short-lived rebounds.

Domestic inflows cushioned falls, but shaped market behaviour

A repeated observation is that domestic money has cushioned the downside. The context explicitly says “foreign selling continues, domestic money cushions fall,” capturing the idea that flows offset each other. This cushioning helps explain why benchmarks can stay near highs while the broader market feels weak, as some posts describe. It also connects to the argument from a report cited in the context that “price-insensitive retail buying” delayed a faster valuation adjustment. That same report, attributed to Prasad, suggests a deeper issue could be disruption risks across sectors and limited corporate investment to address those threats, potentially leading to a structural decline in multiples. The retail-versus-FPI dynamic matters because it changes how corrections play out. If domestic flows dominate, drawdowns may be slower but also extend longer. If foreign flows return abruptly, rallies can be sharp but selective. Social chatter therefore focuses not only on earnings and macro, but also on how retail behaviour might shift if volatility persists.

Why the underperformance debate is about “structure” as much as “cycle”

Several posts differentiate between a cyclical correction and a structural repricing. Singh is quoted saying the structural part of the shift in investor perception is proving more consequential, implying the hurdle for renewed foreign inflows may be higher. Another structural angle raised is the changing global currency dynamic, with the Iran conflict spurring stronger trade flows in yuan and reinforcing China’s influence on capital movement, which can reshape EM allocations. Prasad’s view in the context also leans structural, arguing that disruption across sectors plus limited investment could drive a decline in multiples toward fundamentals. This is different from simply saying valuations were too high. It suggests that even if GDP growth remains solid, the market’s willingness to pay a premium can shrink. The social-media takeaway is not uniformly bearish, but it is more cautious about “set and forget” multiples. It also explains why discussions keep returning to sector composition and corporate investment intensity. If global leadership stays tech-led, an index with fewer such leaders may remain a laggard in relative terms.

What investors are watching next for a shift in trend

The discussion points to a few variables that could change the narrative. One is whether FPI flows remain choppy, as Singh expects, or start stabilising as valuation premiums compress. Another is whether earnings growth improves from the single-digit phase highlighted in the context, because several experts argue earnings ultimately drive sustained index gains. Valuation metrics cited in the context, such as the forward P-E moving from 22x-23x toward 19x-20x, are watched as a buffer if growth disappoints. Currency is also central, because even a decent local return can look poor in USD if INR weakens. Sector positioning remains a constraint, since many posts argue India still lacks large index weight in AI, semiconductors, and similar themes that attracted global capital. Finally, trade and tariff headlines remain an overhang in the discussion, because they can quickly change risk appetite for export-facing pockets. In short, the social-media consensus is that the last two years were driven by flows, currency, and composition, and the next phase depends on whether those headwinds ease together.

Frequently Asked Questions

The discussion cites sustained FPI outflows, rupee depreciation reducing USD returns, elevated valuations, and India’s limited exposure to AI-led global market leadership.
Choice Institutional Equities data quoted in the context says the Nifty 50 declined 6.1% over the past 18 months.
Ajay Garg links higher US bond yields around 4.3%-4.5% to better global opportunities, drawing capital away from Indian equities.
Rupee depreciation reduces USD returns even if the index rises in INR terms, and the context notes INR depreciation of about 9% over three years and 25% over five years.
Singh’s quote in the context suggests flows are likely to remain choppy, and an immediate strong FPI comeback looks unlikely in the near term.

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