3 Equity and ETF Scripts Long Term Growth Model Portfolio | Mixed Sectors 4 – Construction – Agricultural and Commercial Vehicles – Construction Materials – Realty | Rebalancing Monthly | Future Risk may Exceed 45% | Debt ETFs Composition is 45% | 12 Months Subscription Plan

₹1,000.00 for 1 year

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Stock Group Title : Mixed Sectors 4 – Construction – Agricultural and Commercial Vehicles – Construction Materials – Realty

Portfolio Size : 3 Equity and ETF Scripts

ETFs Composition Percentage : Debt ETFs Composition is 45%

Portfolio Risk : Future Risk may Exceed 45%

Minimum Annual Investment : ₹ 40,000

Optimal Investment Tenure : 9 or more years.

Rebalancing Frequency : Rebalancing Monthly

Subscription Tenure : 12 Months Subscription Plan

Backtest – Sharpe Ratio : Hist. Sharpe Ratio above 0.8

Backtest – Annualised Returns : Hist. Annualised Returns Under 30%

Backtest – Annualised Risk : Hist. Annualised Risk Exceeding 25%

Backtest – Max. Drawdown : Hist. Max. Drawdown Exceeding 25%

Backtest – Max. Recovery Time : Hist. Max. Recovery Time Exceeding 12 Quarters

Simulation – Lumpsum Multiple : More than 5 times in 20 yrs with 99.9% probability

Simulation – Lumpsum Multiple : More than 12 times in 20 yrs with 99% probability

Simulation – Lumpsum Multiple : More than 16.5 times in 20 yrs with 98% probability

Simulation – Lumpsum Multiple : More than 26.5 times in 20 yrs with 95% probability

Simulation – Lumpsum Multiple : More than 40.5 times in 20 yrs with 90% probability

“Investment Objective:
Focus on construction, agricultural/commercial vehicles, and real estate sectors aligned with urbanization and infrastructure push.

Investment Rationale:
Robust Infrastructure and Urbanization: India’s ongoing focus on infrastructure development, smart cities, and urban growth is driving demand for construction, real estate, and construction materials, offering substantial long-term growth and earning potential.

Government Initiatives and Policy Support: Policies like the National Infrastructure Pipeline and Housing for All are fostering sector growth, attracting investments, and providing a stable environment for sustained profitability in construction, real estate, and allied sectors.

Growing Agribusiness and Commercial Vehicle Demand: Expansion in agriculture productivity and logistics, along with rising investments in commercial vehicles, create new revenue streams and market opportunities, positioning these sectors for sustained growth compared to other asset classes.

Investment Methodology:
1. The broad universe for securities comprises of listed companies within the NSE 500 Index and all ETFs, which are meticulously filtered qualitatively in accordance with the predefined investment objective and investment rationale.
2. Proprietary algorithms, advanced quantitative models, and technical analysis are applied to systematically identify securities with the highest likelihood of delivering superior returns.
3. These models, extensively validated across various asset classes and time horizons, incorporate customized proprietary indicators of momentum, volume, volatility, and trend, ensuring that portfolio construction is entirely driven by objective data and high-quality signals, free from biases, prejudices, or emotional influence.
4. The selection of securities and their respective weightings within the model portfolio is further optimized based on factors including the target portfolio size, ETF allocation, average daily trading turnover, available investment capital, rebalancing frequency, as well as the number of quantitative and technical criteria met by each security.”

Stocks Group Title

Scripts Types

Portfolio Size

ETFs Composition Percentage

Portfolio Risk

Ideal Annual Investment

Optimal Investment Tenure

Rebalancing Frequency

Subscription Tenure

Subscription Plan Fee

Backtest - Sharpe Ratio

Backtest - Annualised Returns

Backtest - Annualised Risk

Backtest - Max. DrawDown

Backtest - Max.Recovery Time

Simulation Lumpsum Multiple

Backtests and Simulation Results:

  1. Backtest models are constructed using a limited set of assumptions about market conditions and portfolio characteristics; therefore, backtest results should not be interpreted as indicative of actual past performance in real-world conditions.
  2. Backtest and simulation outputs are provided solely as factual data to support comparative assessment of subscription plans.
  3. Simulation results are derived from 100,000 trials and represent potential future scenarios based on normalised inputs (average returns and return volatility) obtained from backtesting.
  4. Users are strongly advised to exercise extreme caution when using this information.
  5. "Backtesting and simulation results do not serve as indicators of future performance or guarantees of returns and they should not be interpreted as an endorsement or advertisement."

Simulation Assumptions:

  1. Monthly Portfolio Returns are assumed to follow a normal distribution over a 20-year horizon, with mean returns and volatility presumed to mirror historically observed levels.
  2. Portfolios are rebalanced once monthly.
  3. Portfolio risk level and Sharpe ratio are assumed to remain unchanged over the 20-year period.
  4. Other than the initial lump sum investment, no additional contributions or withdrawals are made over the 20 years period.

Simulation Settings:

  1. Transactional costs are included in the Sharpe ratio calculations.
  2. Risk free rate is assumed to be 6.5% p.a.
  3. Each simulation value is resulted from 1,00,000 simulation trials using the Monte Carlo method.
  4. Simulation results are derived for probability levels (confidence levels) of 99.9%, 99%, 98%, 95% and 90%.
  5. Simulation values do not predict or reflect future market conditions; they represent only possible future outcomes.
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