Investment Philosophy
Accuracap PMS’s Alpha 10 strategy is a quant-strategy that seeks to construct a portfolio of 12-35 high-quality companies (large-cap focused) based on their Artificial Intelligence based Intelligent Ranking Algorithm. The algorithm is based on fundamental factors & risk management, with the portfolio being rebalanced once a year and stocks exited if they fall below the cut-off ranking on the Intelligent Ranking Algorithm. The average historical holding period of stocks is ~2 years.
Portfolio Construction
- Low Churn and Tax Efficient: average holding period is 2 years. All gains are long-term capital gains. The strategy aims to be fully invested and does not attempt to time the Market
- Portfolio Rebalancing: rebalanced on a pre-defined schedule and usually once a year
- Exits: exits the portfolio if the rank is below the cut-off on the rebalance date where the exiting Stock is replaced by the new high-ranked stock while keeping the number of stocks in the portfolio constant.
Trailing Performance
| 1yr | 3yr | 5yr | Since Inception | |
|---|---|---|---|---|
| Accuracap Alpha10 | 0.1 | 10.7 | 14.6 | 13.6 |
| S&P BSE 500 | 4.5 | 13.7 | 22.2 | 13.6 |
| Alpha over Broad Mkt BM | -4.4 | -3 | -7.6 | 0 |
| Nifty 50 TRI | 9 | 13.8 | 21.2 | |
| Alpha over Category BM | -8.9 | -3.1 | -6.6 |
Performance as of: 30-Apr-25 | Inception Date: 19-Sep-11
Fund Managers
Naresh Chand Gupta | 4-star rated FM
Co-founder & CEO | 35 yrs Experience | 10 yrs at current firm
Past Experience: Adobe India (MD & CEO), LNK Corp (Director-Artificial Intelligence)
Naresh is a computer scientist, researcher and corporate executive with impressive technology credentials. As CEO of Adobe India, Naresh oversaw 3500+ engineers and was responsible for over 40% of Adobe’s global R&D, including the grant of hundreds of patents. Naresh is the author of several seminal scientific papers in the area of Artificial Intelligence, Pattern Recognition, and Computer Vision and holds seven Individual U.S. Patents. He left Adobe to start Accuracap PMS in 2015, in order to use his technical expertise in algo-based quant investing.
Fee Structure
| Fee Structure | Fee |
|---|---|
| Fixed Fee Structure | 2.5 |
| Variable Fee Structures | 1.5% fixed + 20% above 10% hurdle |
| Exit Fees | 1yr(2%), 2yr(1%) |
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