PNB Housing Finance (PNBHOUSING) Price Target & Share Price Forecast

Not a guess. A distribution.

1-Year Price Target (median)₹1,083+7.2%

As of , the PNB Housing Finance (PNBHOUSING) 1-year price target is ₹1,083+7.2% from the current price of ₹1,010. The 80% confidence range is ₹670₹1,741, with a 57.3% probability of finishing above today's price.

PNBHOUSING 2027
₹1,083
+7.2%
PNBHOUSING 2029
₹1,237
+22.4%
PNBHOUSING 2031
₹1,418
+40.4%

Probability-weighted price target and forecast for PNB Housing Finance (PNBHOUSING) across 2027, 2029, and 2031. Built from a 10,000-trial Monte Carlo simulation on 2.0 years of NSE historical data — so you see the full range of where the price could realistically land, weighted by likelihood. No analyst opinions. Just statistics.

Spot Price · Today
₹0
Based on 2.0 years of daily NSE data ·0.0% annualised volatility
5-yr median forecast
₹0
P(price ↑ in 5y)
0%
1-Year Forecast
2027
₹0
Median (P50)
7.2%
80% range₹670–₹1,741
P(price ↑)57%
P(price 2×)5%
3-Year Forecast
2029
₹0
Median (P50)
22.4%
80% range₹532–₹2,877
P(price ↑)62%
P(price 2×)23%
5-Year Forecast
2031
₹0
Median (P50)
40.4%
80% range₹463–₹4,257
P(price ↑)65%
P(price 2×)34%

PNBHOUSING price probability fan

Each band shows where 10,000 simulated paths land. The wider the fan, the more uncertainty.

Probability Fan
PNBHOUSING simulated paths · 60 months · 10,000 trials
P10–P90 (80%)P25–P75 (50%)Median (P50)

Probability of key outcomes

What are the odds PNBHOUSING hits common targets within the simulated horizon?

0%
P(↑ 1Y)
Above today's price in 1 year
0%
P(↑ 5Y)
Above today's price in 5 years
0%
P(2×)
Doubles within 5 years
0%
P(↓)
Falls below today in 5 years

How the PNBHOUSING price target & forecast are calculated

We ran 10,000 simulated price paths for PNB Housing Finance (PNBHOUSING) using Geometric Brownian Motion (GBM) — the same probability framework used in institutional risk-management systems. The simulation uses PNBHOUSING's actual 2.0-year historical volatility (38.3%) and mean log return (13.9%/year), so it reflects real market behaviour, not assumptions.

Each of the 10,000 trials projects a unique PNBHOUSING share price path day-by-day for 5 years. The percentile bands (P10/P50/P90) show the full distribution of outcomes — your real price target range, not a single guess.

Why this PNBHOUSING forecast differs from analyst price targets: Analyst targets are point estimates from subjective valuation models. Monte Carlo price-target forecasts are probability distributions from actual market data. They tell you the range and likelihood of where PNBHOUSING could realistically land — so you can plan for the spread of outcomes, not bet on a wish.

PNBHOUSING price target & forecast — probability table

HorizonPessimistic (P10)Median (P50)Optimistic (P90)P(↑ from today)P(2× return)
1 year (2027)₹670₹1,083₹1,74157.3%4.8%
3 years (2029)₹532₹1,237₹2,87761.7%22.9%
5 years (2031)₹463₹1,418₹4,25764.9%33.9%

Generated 24/6/2026, 12:22:14 am. Refreshed every 6 hours from 2.0y of NSE history.

PNBHOUSING price target & forecast — FAQs

What is the PNB Housing Finance (PNBHOUSING) price target / share price forecast for 2031?

Based on a 10,000-trial Monte Carlo simulation using historical volatility, PNBHOUSING's 5-year median (P50) forecast is ₹1,418. The 80% confidence band is ₹463₹4,257. The probability of the price being above today's ₹1,010 in 5 years is 64.9%.

How is Monte Carlo different from analyst price targets?

Analyst targets are point estimates based on subjective valuation models. Monte Carlo simulations produce a probability distribution from actual historical volatility — showing the full range of where the price could realistically land, weighted by likelihood. No opinions, just statistics.

Can PNBHOUSING double in 5 years?

The probability of PNBHOUSING reaching 2× the current price (₹2,021) within 5 years is 33.9%, based on this simulation.

Is this prediction accurate?

No simulation can predict the future — but Monte Carlo gives you a calibrated range of outcomes weighted by historical probability. It accounts for volatility better than any single price target. Use it as a decision-support tool, not a guarantee.

How often is this forecast updated?

Every 6 hours, based on the latest NSE close prices and 2.0 years of historical data.

More on PNBHOUSING