Live Performance
As of date: Nov. 30, 2024
Inception date: Sept. 1, 2023
Since inception | One month | Three months | Six months | One year | Aum in crore | |
---|---|---|---|---|---|---|
Wright Alpha Fund | 47.87 | -3.75 | -1.20 | 15.56 | 32.72 | 72.56 |
BSE 500 Total Return Index | 26.53 | 0.06 | -4.44 | 7.87 | 27.01 | -- |
Backtested Performance
This portfolio management strategy has been running as a model portfolio in our advisory setup for four years
The backtested results for this strategy are as follows:
Wright Alpha Fund
BSE 500 TRI
Backtested Performance Comparison
Investment Objective
The primary objective of the Wright Alpha Fund is to provide long-term capital appreciation by strategically investing in a concentrated portfolio of Indian equities. Our fund seeks to consistently outperform the benchmark through a disciplined, concentrated momentum-based approach, capitalizing on market anomalies and meticulously chosen investment opportunities. While the emphasis is on creating a robust growth trajectory, risk management is given equal importance to ensure the safeguarding of investor capital in various market scenarios.
Disciplined Momentum Based Investment Process
The Wright Alpha Fund employs a disciplined, quantitative momentum investment process. This fund has a concentrated risk with only 10 stocks in the portfolio.
Our investment team uses an academically backed, data-driven approach to identify securities with attractive characteristics based on momentum. The portfolio is structured to be well-diversified across sectors, limiting sector-specific risks and ensuring balance.
We complement this process with weekly rebalancing, fine-tuning the portfolio composition based on evolving market conditions and investment outlook. Additional adjustments may be made on a weekly basis, in response to significant market events.
Investment Approach
Our investment approach centers around dynamic asset allocation. Recognizing the cyclical nature of the markets, we adjust allocations among momentum factors and hedged exposure based on market conditions and expected returns.
Our disciplined investment approach, coupled with an agile asset allocation strategy, enables us to capitalize on opportunities across different market conditions, reducing risk and enhancing potential returns. We strive for a balance between protecting capital and growing assets, delivering a portfolio that can weather market volatility and thrive in favorable conditions.
Why Should You Invest?
Investing in the Wright Alpha Fund provides several key advantages:
- Scientific, Momentum-Based Investing: Our investment process is rooted in the power of factor investing - a scientific, evidence-based method proven to deliver superior returns over time. This approach allows us to systematically exploit market inefficiencies and capitalize on proven sources of returns.
- Dynamic Asset Allocation and Active Management: Our investment team actively adjusts portfolio allocations based on market conditions, effectively managing risk while taking advantage of growth opportunities. The fund is regularly rebalanced to keep in line with the prevailing investment outlook, ensuring the portfolio stays optimized for growth and risk management.
- Strong Track Record: The Wright Alpha Fund (in it's advisory avatar) has a history of consistent outperformance, delivering robust returns in a variety of market conditions. Our combination of a disciplined multi-factor investment process and active management has proven effective in navigating different market cycles.
Key Characterstics
As of date: Nov. 30, 2024
Benchmark: BSE 500 TRI
Top Sector Exposures
Sectors | Exposures |
---|
Electric Equipment | 15% |
---|---|
Construction | 15% |
Diamond & Jewellery | 9.2% |
Key Metrics
Metrics | Exposures |
---|
Current Average PE Ratio | 29.8 |
---|---|
Current Large Caps | 50% |
Current Mid Cap | 10% |
Current Small Cap | 10% |
Meet the fund manager
Sonam Srivastava
Founder & Portfolio Manager
13 years of experience
4 years of advisory experience at Wright
Portfolio Management & Algorithmic Trading at HSBC, Edelweiss
Education
Masters in Financial Engineering, Worldquant University
Bachelor of Technology, IIT Kanpur
Fee Details
Flat fee
1.5 %
Performance Based
15 % (over high watermark)
Minimum Investment
50 Lacs
Entry and Exit Load
0
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Calculated Fees Results
Fee Structure | Total Fee | Total PNL | Total Fee Perc |
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