City Union Bank (CUB) Price Target & Share Price Forecast

Not a guess. A distribution.

1-Year Price Target (median)₹239+21.3%

As of , the City Union Bank (CUB) 1-year price target is ₹239+21.3% from the current price of ₹197. The 80% confidence range is ₹156₹366, with a 71.8% probability of finishing above today's price.

CUB 2027
₹239
+21.3%
CUB 2029
₹348
+76.8%
CUB 2031
₹504
+156.2%

Probability-weighted price target and forecast for City Union Bank (CUB) 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)
21.3%
80% range₹156–₹366
P(price ↑)72%
P(price 2×)7%
3-Year Forecast
2029
₹0
Median (P50)
76.8%
80% range₹165–₹725
P(price ↑)84%
P(price 2×)41%
5-Year Forecast
2031
₹0
Median (P50)
156.2%
80% range₹194–₹1,308
P(price ↑)90%
P(price 2×)63%

CUB price probability fan

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

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

Probability of key outcomes

What are the odds CUB 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 CUB price target & forecast are calculated

We ran 10,000 simulated price paths for City Union Bank (CUB) using Geometric Brownian Motion (GBM) — the same probability framework used in institutional risk-management systems. The simulation uses CUB's actual 2.0-year historical volatility (33.3%) and mean log return (24.4%/year), so it reflects real market behaviour, not assumptions.

Each of the 10,000 trials projects a unique CUB 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 CUB 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 CUB could realistically land — so you can plan for the spread of outcomes, not bet on a wish.

CUB price target & forecast — probability table

HorizonPessimistic (P10)Median (P50)Optimistic (P90)P(↑ from today)P(2× return)
1 year (2027)₹156₹239₹36671.8%6.5%
3 years (2029)₹165₹348₹72583.8%41.2%
5 years (2031)₹194₹504₹1,30889.6%63.3%

Generated 22/6/2026, 8:43:33 pm. Refreshed every 6 hours from 2.0y of NSE history.

CUB price target & forecast — FAQs

What is the City Union Bank (CUB) price target / share price forecast for 2031?

Based on a 10,000-trial Monte Carlo simulation using historical volatility, CUB's 5-year median (P50) forecast is ₹504. The 80% confidence band is ₹194₹1,308. The probability of the price being above today's ₹197 in 5 years is 89.6%.

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 CUB double in 5 years?

The probability of CUB reaching 2× the current price (₹393) within 5 years is 63.3%, 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.

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