The Geopolitics Paradox: 30 Years of Indian Markets Against War, Terror & Global Shocks
Why every major geopolitical event since Kargil has rewarded patient capital — and the five-step playbook for the next one.
Event-study backtest · 1998–2025
Executive Summary — Why This Backtest, Why Now
For the last three decades, Indian equity investors have been asked the same question during every geopolitical flare-up — from Kargil in 1999 to Operation Sindoor in 2025 — "Should I sell?" This note examines 30 years of backtested history to answer that question with data, not opinion.
We study fifteen major geopolitical, terror, cross-border, and compound-macro events between 1998 and 2025. For each event we measure peak drawdown and forward returns at 1, 3, 6, and 12 months from the event date. We then classify each event into one of three tiers depending on its nature, and extract the pattern of reaction and recovery that emerges across them. The results are clearer, and more actionable, than we expected.
- The base rate is overwhelming. In 11 of 12 isolated India-specific or cross-border events, the Nifty was higher 12 months after the event than at peak fear. The sole exception — the 2001 Parliament attack — occurred inside an active global bear market.
- Damage scales with the nature of the event, not its headlines. Pure India-Pakistan conflicts have produced an average peak drawdown of just ~2.5%. Global geopolitical shocks (Russia-Ukraine, Israel-Hamas) produced 5–13% corrections. Only when a geopolitical event collides with a pre-existing macro problem do drawdowns exceed 15%.
- Reaction has compressed dramatically over time. Kargil 1999 saw a 16% pre-war correction. Balakot 2019 saw 1.8%. Operation Sindoor 2025 saw ~2% — and markets fully recovered inside a week. Institutional depth and SIP flows absorb India-specific shocks far more efficiently than in 1999.
- The rally during the war is the least-appreciated fact. The Sensex gained 37%during the Kargil war itself. The Nifty gained 19% in the six months after COVID bottomed. Markets reward investors who add on dips far more reliably than they punish them.
- Sectors rotate predictably. Defence, capital goods, energy, and gold miners structurally outperform in the 3–12 months after cross-border events. FMCG and pharma act as volatility anchors.
Investor Takeaway. Hedge the tail, not the headline. Keep 10–15% in liquidity to deploy into Tier-1 events. Anchor the core portfolio in large-cap quality. Use Tier-2 corrections to rebuild exposure in defence, energy, and select small/micro-caps with domestic demand moats. Panic-selling on a geopolitical print has been the single most expensive behavioural error in Indian markets since 1999.
Methodology — How We Built the Backtest
We adopted a standard event-study methodology widely used in academic finance literature. For each event we fixed an event date (T) — typically the day of the incident or the first trading session after — and then measured the Nifty 50 and BSE Sensex closing levels at six key reference points around it. All returns are close-to-close, rounded to the nearest whole percent, and sourced from NSE/BSE archives, contemporary broker research, and financial news reports.
| Reference | Window | What It Captures |
|---|---|---|
| T−30 | 30 trading days pre-event | Pre-event build-up / early risk-off |
| T+7 | 1 week post-event | Immediate panic; liquidity stress |
| T+30 | 1 month post-event | First recovery leg / continued decline |
| T+90 | 3 months post-event | Base-rate medium-term reaction |
| T+180 | 6 months post-event | Earnings cycle digestion |
| T+365 | 12 months post-event | Structural verdict of the market |
The Three-Tier Classification
Not all geopolitical events are equal. The raw "Nifty drop on the day" hides enormous variance in what actually drove the move. We found that grouping events into three tiers — based on the nature and reach of the shock — produces a vastly cleaner read on both depth of drawdown and speed of recovery.
India-specific / Cross-border
Cross-border military action, surgical strikes, or terror incidents contained within the Indian subcontinent with no spillover to global supply chains or commodity markets.
Global Geopolitical
Conflicts or shocks outside India that transmit through oil, dollar, FII flows, or risk-off sentiment. Indian markets react but the fundamental growth trajectory stays intact.
Compound (Geopol + Macro)
Geopolitical event that coincides with a pre-existing macro, valuation, or liquidity problem. Damage is multiplicative, not additive.
*Parliament Attack 2001 sat on the boundary of Tier 1 and Tier 3 due to the concurrent global dot-com unwind; Demonetization is non-geopolitical but included as a domestic policy shock for completeness.
The combination of compressed event reactions over time (Kargil's 16% pre-correction to Sindoor's 2% wobble), deepening domestic institutional flows (SIPs now > ₹26,000 crore/month), and a consistent pattern of pre-event damage being deeper than post-event damage creates what we call a "policy-proof base rate." The market's tolerance for a clear, time-bounded cross-border action has improved roughly 8x in 26 years. This is not a cyclical observation — it is a structural shift in how Indian equity markets absorb geopolitical shocks, and it has direct implications for how subscribers should position through any Tier-1 event in 2026 and beyond.
Event-by-Event: 30 Years of Indian Market Reaction
The table below documents fifteen major events between 1998 and 2025, classified by tier, with headline market reaction at each reference point. All returns are approximate and rounded. Peak DD = maximum drawdown measured between T−30 and T+30. Entries marked — are outside the 12-month window as of April 2026.
| # | Event | Date | Tier | Peak DD | T+30 | T+90 | T+180 | T+365 |
|---|---|---|---|---|---|---|---|---|
| 01 | Pokhran-II nuclear tests | May 1998 | 1 | −5% | −2% | +5% | +3% | +8% |
| 02 | Kargil War begins | May 1999 | 1 | −16% | +16% | +34% | +32% | +29% |
| 03 | 9/11 attacks (US) | Sep 2001 | 3 | −14% | −3% | +12% | +20% | −8% |
| 04 | Parliament Attack | Dec 2001 | 1* | −14% | −4% | −10% | +6% | −6% |
| 05 | Mumbai 26/11 | Nov 2008 | 3 | −2% | +0% | +24% | +70% | +85% |
| 06 | Uri Surgical Strikes | Sep 2016 | 1 | −2% | −1% | −5% | +5% | +16% |
| 07 | Demonetization | Nov 2016 | 2 | −7% | −3% | +2% | +13% | +20% |
| 08 | Pulwama / Balakot | Feb 2019 | 1 | −2% | −1% | +4% | +5% | +10% |
| 09 | COVID crash | Mar 2020 | 3 | −39% | +19% | +44% | +56% | +84% |
| 10 | Galwan Clash (LAC) | Jun 2020 | 1 | −1% | +8% | +20% | +35% | +53% |
| 11 | Russia-Ukraine War | Feb 2022 | 2 | −13% | −3% | +6% | +8% | +5% |
| 12 | Israel-Hamas (Oct 7) | Oct 2023 | 2 | −2% | +5% | +10% | +18% | +28% |
| 13 | Iran-Israel flare-ups | Apr–Oct 2024 | 2 | −2% | +3% | −2% | +2% | — |
| 14 | Operation Sindoor | May 2025 | 1 | −2% | +1% | +5% | +8% | — |
| 15 | US tariffs on India | Aug 2025 | 2 | −3% | −4% | −1% | +3% | — |
Fig. 1 — Peak drawdown (red) vs. 6-month (gold) and 12-month (navy line) forward returns. Observe how recovery dominates every event except the dot-com-era Parliament attack.
The Shape of Every Recovery
Fig. 2 — The three-tier framework, averages across all classified events in the backtest sample.
What the data is actually telling us
When you strip out the daily noise and study the tiered averages, three patterns repeat with near-mechanical regularity across the last thirty years:
- The "uncertainty discount" empties before the conflict begins.In Kargil, the Nifty was down 16% before the first shot was fired on May 3, 1999. In 2001–02, the selloff started weeks before the Parliament attack. The fat drawdown almost always sits in the pre-event window (T−30 to T) rather than the post-event window. Buying during the headline is usually buyingafter the damage.
- Clarity triggers the rebound, not resolution.Indian markets have never waited for a ceasefire or peace deal to rally. The Sensex added 37% duringthe Kargil war. The Nifty rallied 19% in the first month after COVID bottomed, even while cases were still accelerating. Markets price uncertainty, not outcomes — and reduced uncertainty is a rally trigger by itself.
- The depth of the selloff predicts the size of the rebound.The correlation is striking: the three Tier-3 compound events (9/11 + dot-com, Mumbai 26/11 + GFC, COVID) produced the three largest 12-month forward returns in the sample. The deepest Tier-1 event (Kargil) produced the largest Tier-1 rebound. Selling into panic and buying into calm has been the inverse of what worked.
Why this happens. India runs a domestic-consumption-led economy with roughly 60% of GDP from private consumption and a savings-heavy household sector. Unlike export-led economies, Indian earnings power is substantially insulated from global conflict beyond its second-order effects on oil and the rupee. SIP flows — now over ₹26,000 crore/month — provide a structural domestic bid that did not exist in 1999 or even 2008, compressing every subsequent drawdown.
Five Events, Five Lessons
Kargil War — the 37% war rally
The Sensex delivered a 37% return during the two-and-a-half months of active Kargil conflict. Pre-war, the index had corrected 16% in April on infiltration rumours. Once combat began on May 3, that discount unwound over eight trading sessions. The 12-month forward return from the conflict start was+29%, comfortably beating the S&P 500's +11% in the same window.
Parliament Attack — the Tier-3 warning
The only major India-specific event in our sample where the 12-month forward return was negative. But the culprit was not the attack — the culprit was the concurrent 30% decline in the S&P 500 from the dot-com unwind. Indian markets fell 13.9% overall, but FII outflows and global risk-off explained most of the decline.
Mumbai 26/11 — shrugged off inside 24 hours
On the first trading day after the attacks (Nov 28, 2008), the Sensex closed 0.7% higher. Six months later it was up roughly 70% and twelve months later up approximately 85% — but the bulk of that return came from the post-Lehman global recovery, not from the attack.
Russia-Ukraine War — the oil transmission channel
The Sensex fell 4.72% on Feb 24, 2022 — its worst single day since May 2020. Over the next six weeks it declined up to 13% from pre-event levels. This was not an India-specific event but a global commodity supply shock that flowed through Brent crude to Indian inflation, the rupee, and FII allocations. The 12-month forward return was only +5%, the weakest Tier-2 recovery in our sample.
Operation Sindoor — the new normal
India's missile strikes on terror infrastructure in Pakistan and PoK saw the Sensex decline roughly 2% at peak fear on May 6–7, 2025. The market fully recovered inside a week. Defence stocks rallied sharply; broader indices stabilised almost immediately. This is the clearest evidence yet of how structurally more resilient Indian markets have become to India-specific cross-border actions. From Kargil's 16% pre-conflict correction to Sindoor's 2% wobble, the market's tolerance has improved roughly 8x in twenty-six years.
Winners & Losers: What Rotates When
Geopolitical events do not hit the index uniformly. Certain sectors lead the drawdown and certain sectors lead the recovery — and the mix is surprisingly consistent across events. The table below captures the average behaviour we observed across the fifteen events in our sample.
| Sector / Theme | During Event | 3–6 Months Out | Structural Verdict |
|---|---|---|---|
| Defence | Slight outperformance or flat | Strongly outperforms | Secular winner; order-book visibility improves |
| Capital Goods | Underperforms (risk-off) | Strongly outperforms | Beneficiary of post-event capex and defence spend |
| Oil & Gas | Mixed — depends on Brent | Upstream wins, OMCs lag | Upstream benefits from supply disruption premium |
| FMCG | Outperforms (defensive) | Underperforms the bounce | Volatility anchor; add in Tier-2/3, trim in rebound |
| Pharma | Outperforms (defensive + INR hedge) | In-line | Secular compounder; holds through all three tiers |
| IT Services | Depends on event — USD-positive | Underperforms domestic bounce | Better in global risk-off; worse in India-specific events |
| PSU Banks | Underperforms sharply | Leads the rebound | High beta to Indian recovery; add on Tier-1 dips |
| Private Banks | Sells off with FII flows | Recovers with flows | Tracks FII posture; core holding through cycles |
| Gold / PMs | Outperforms in global tiers | Mean-reverts | Portfolio ballast — 5–10% weight all-weather |
| Small / Micro Caps | Heaviest drawdown | Heaviest rebound (3–12m) | Highest reward/risk; size carefully post-event |
| SME Platform | Lowest liquidity — illiquidity discount | Strongest catch-up once risk-on returns | Our preferred hunting ground for Tier-1 dips |
Three sector-level observations
(i) Defence is the only sector that has structurally re-rated through the cycle. From 2016 onwards, every cross-border event has catalysed a defence rally that does not give back its gains. The listed defence ecosystem — Paras, Data Patterns, Solar, Premier, Astra, HAL, BEL, BDL — has compounded its valuation premium event after event.
(ii) FMCG and Pharma are outstanding Tier-1 anchors, but they underperform the bounce. A common error is to rotate into defensives during the event and forget to rotate out into cyclicals when the rebound begins. Our framework uses defensives as a one-quarter anchor only.
(iii) Small & micro-caps are the asymmetry. They carry the deepest drawdowns in Tier-1 and Tier-2 events — often 2–3x the Nifty drop — but also the deepest 12-month rebounds. Position sizing, not prediction, is what determines outcomes here.
What Could Break the Base Rate
No backtest is destiny. Here is where we see the principal threats to the "markets always recover" thesis — and how we think about the probabilities.
The single largest threat to the base rate. If a geopolitical event coincides with a pre-existing valuation, credit, or liquidity stress — as in 2001 and 2008 — 12-month drawdowns can exceed 30%. Watch for elevated Nifty P/E (>25x one-year-forward) as a red flag.
Brent sustained above $100 historically correlates with >10% Nifty drawdowns, compressed margins in oil-sensitive sectors, and weak FII flows. The Russia-Ukraine event recovery was the weakest in our sample precisely because of this transmission channel.
SIP flows are the structural domestic bid that has cushioned every post-2014 event. Any material slowdown in monthly SIP inflows (below ₹20,000 crore sustained for 2–3 months) would meaningfully weaken the recovery floor.
Our sample contains cross-border events that were time-bounded and non-nuclear. A prolonged, multi-theatre conflict — or any scenario involving weapons of mass destruction — sits outside the base rate and requires a completely different investment framework.
Demonetization (2016) was a 7% drawdown that we've included as a Tier-2 proxy. An unexpected policy shift — tax, FDI, banking regulation — during a geopolitical flare-up could compound the reaction materially.
Our sector playbook calls for buying micro and SME names into Tier-1 events. In a genuine liquidity freeze, these segments can experience 40–60% drawdowns. Position sizing discipline is the only mitigant.
A Five-Step Framework for the Next Shock
History does not repeat perfectly, but base rates do. The playbook below operationalises the findings of this backtest into a decision framework an investor with a 3-to-5 year horizon can apply when the next event hits the tape — whether that's in 2026, 2027, or 2030.
Classify the event within 24 hours.
Decide: Tier 1 (India-specific cross-border), Tier 2 (global geopolitical), or Tier 3 (compound with a pre-existing macro/valuation problem). The single most important question: is there concurrent macro or liquidity stress? If yes → treat as Tier 3 regardless of headline size.
Measure the pre-event damage, not the event-day move.
Compute Nifty's drawdown from its 30-day high. If −15% or worse has already happenedbefore the event — as in Kargil 1999 or Russia-Ukraine 2022 — the uncertainty discount is already in the tape. These are the highest-conviction add zones in our sample.
Deploy liquidity in tranches aligned to tier.
Tier 1: deploy 50% of liquidity reserve on day 1–3; remaining 50% over 2 weeks. Tier 2: deploy in 3 tranches over 30–60 days. Tier 3: wait for T+30, size tranches over 90 days, prioritise quality balance sheets. Never deploy 100% on day one — the market almost always gives a better entry in the following weeks.
Rotate toward the structural winners.
Defence and capital goods on Tier 1. PSU banks and small-caps on the Tier 2 rebound. Upstream oil on Tier 2 supply shocks. Large-cap private banks and quality small/micro on Tier 3. The biggest behavioural mistake is to "buy the biggest fallers" indiscriminately.
Set a 12-month review clock, not a 12-day one.
The 12-month forward window is where the base rate works. Daily and weekly noise in months 1–3 is normal and should not cause repositioning. If the thesis was correct, the market confirms it within 6–9 months. If it was wrong (rare), you still exit with limited capital damage thanks to the tranche sizing.
Position Sizing Grid. Keep 10–15% of equity capital in liquid reserve at all times. In a Tier-1 event, aim for single-stock exposure of 2–4% in defence/capex names, 1–2% in small/SME names. In a Tier-3 event, skew toward large-cap quality at 3–5% weights and cap cumulative small/micro exposure at 15–20% of the portfolio. The rebound can deliver outsized returns without outsized bets.
Outlook — April 2026: Where We Stand
As of 19 April 2026, the Indian market is navigating three simultaneous streams of geopolitical risk: renewed US-India trade friction following the 2025 tariff episode, the tail of the 2024–25 Middle East flare-ups, and a still-elevated India-Pakistan posture post Operation Sindoor. None individually qualifies as a Tier-3 event. Collectively, they are pushing Nifty valuations to a mid-cycle pause, not a cycle break.
What we are watching, in priority order
The single highest-impact transmission channel for Tier-2 events into Indian equity markets. Every sustained move above $90 in our sample has coincided with a >5% Nifty drawdown.
FII flows follow the dollar. A DXY move above 106 or US 10Y above 4.75% historically coincides with heavy FII selling in Indian small and midcaps — our hunting ground.
Track at the weekly level. A reversal from consistent selling to buying has led every major Tier-1 and Tier-2 rebound in our sample by 3–5 weeks.
The structural floor. Monthly SIP flows above ₹25,000 crore materially cushion every subsequent drawdown. Watch for any slowdown as a leading indicator of depth.
Residual probability of a fresh cross-border flare-up. Our base rate says the market will recover within weeks — but tactical liquidity needs to be ready at all times.
Bottom line. Every significant bull market in Indian history has been built on the foundation of a fear-driven dislocation — Kargil in 1999, post-26/11 in 2009, post-demonetisation in 2017, post-COVID from 2020–24. The common thread is not the absence of fear; it is the willingness of patient, disciplined capital to deploy into the fear. The backtest is settled. The next event is not a question of if — onlywhen.
Wars end. Panic fades. Markets recover. The base rate is overwhelmingly in favour of patient, quality-anchored capital — and over the last 26 years, it has only gotten stronger.
Disclaimer & Regulatory Disclosures
LNPR Capital is a SEBI Registered Research Analyst firm (Registration No. INH000012953, BSE Enlistment: 5843) based in Kolkata, India. This research note has been prepared by Rahul Das & Rakesh Das, SEBI Registered Research Analysts, for informational and educational purposes only. This document does not constitute an offer, solicitation, or invitation to subscribe to or purchase any securities. The information herein is based on publicly available data (Nifty 50 and BSE Sensex archives, contemporary financial news reports, broker research notes, and academic event-study literature) and sources believed to be reliable, but LNPR Capital makes no warranty or representation, express or implied, as to accuracy, completeness, or timeliness.
This note contains forward-looking statements and projections that involve risks and uncertainties; actual results may differ materially. Past performance does not guarantee future results. The event-study methodology used here is a descriptive, not a predictive, tool — base-rate patterns identified may not hold in future events. Geopolitical outcomes are inherently unpredictable. Investments in securities markets are subject to market risks — please read all related documents carefully before investing.
LNPR Capital, its associates, directors, employees, and research analysts may hold positions in securities mentioned herein, other than broad-market Nifty/Sensex exposures. LNPR Capital has not received any compensation from any company mentioned in this note for the preparation of this research. This note is intended for paid subscribers, accredited investors, HNIs, and sophisticated market participants only.
