ANAND RATHI SH N STK BR L (ARSSBL) Price Target & Share Price Forecast

Not a guess. A distribution.

1-Year Price Target (median)₹695+23.9%

As of , the ANAND RATHI SH N STK BR L (ARSSBL) 1-year price target is ₹695+23.9% from the current price of ₹561. The 80% confidence range is ₹378₹1,255, with a 67.3% probability of finishing above today's price.

ARSSBL 2027
₹695
+23.9%
ARSSBL 2029
₹1,058
+88.6%
ARSSBL 2031
₹1,611
+187.2%

Probability-weighted price target and forecast for ANAND RATHI SH N STK BR L (ARSSBL) across 2027, 2029, and 2031. Built from a 10,000-trial Monte Carlo simulation on 0.7 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 0.7 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)
23.9%
80% range₹378–₹1,255
P(price ↑)67%
P(price 2×)15%
3-Year Forecast
2029
₹0
Median (P50)
88.6%
80% range₹369–₹2,946
P(price ↑)78%
P(price 2×)47%
5-Year Forecast
2031
₹0
Median (P50)
187.2%
80% range₹407–₹6,073
P(price ↑)84%
P(price 2×)63%

ARSSBL price probability fan

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

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

Probability of key outcomes

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

We ran 10,000 simulated price paths for ANAND RATHI SH N STK BR L (ARSSBL) using Geometric Brownian Motion (GBM) — the same probability framework used in institutional risk-management systems. The simulation uses ARSSBL's actual 0.7-year historical volatility (47.5%) and mean log return (32.3%/year), so it reflects real market behaviour, not assumptions.

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

ARSSBL price target & forecast — probability table

HorizonPessimistic (P10)Median (P50)Optimistic (P90)P(↑ from today)P(2× return)
1 year (2027)₹378₹695₹1,25567.3%14.9%
3 years (2029)₹369₹1,058₹2,94678.2%46.9%
5 years (2031)₹407₹1,611₹6,07384.1%63.2%

Generated 23/6/2026, 8:38:54 am. Refreshed every 6 hours from 0.7y of NSE history.

ARSSBL price target & forecast — FAQs

What is the ANAND RATHI SH N STK BR L (ARSSBL) price target / share price forecast for 2031?

Based on a 10,000-trial Monte Carlo simulation using historical volatility, ARSSBL's 5-year median (P50) forecast is ₹1,611. The 80% confidence band is ₹407₹6,073. The probability of the price being above today's ₹561 in 5 years is 84.1%.

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 ARSSBL double in 5 years?

The probability of ARSSBL reaching 2× the current price (₹1,122) within 5 years is 63.2%, 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 0.7 years of historical data.

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