About Company
PL Capital (Prabhudas Lilladher Asset Management)
PL Capital (Prabhudas Lilladher Asset Management) is the specialized investment management arm of the prestigious, eight-decade-old financial services powerhouse, Prabhudas Lilladher Group. Committed to powering clients' financial growth, the firm offers cutting-edge wealth solutions, including Portfolio Management Services (PMS) and Alternative Investment Funds (AIF) tailored for high-net-worth individuals and institutional investors. Driven by a unique "Man with Machine" philosophy, PL Asset Management seamlessly blends traditional fundamental wisdom with state-of-the-art quantitative data analytics. This innovative, research-backed framework ensures disciplined risk management and sustainable alpha generation across diverse, dynamic market cycles while upholding the group's core values of trust and integrity.
Fund Snapshot
| Particulars | Details |
| Strategy Type | Flexicap Equity PMS |
| Investment Style | Quantamental, Multifactor, Style-Agnostic |
| Portfolio Structure | Open-ended, Long-only Equity PMS |
| Benchmark | BSE 500 TRI |
| Inception Date | 12th June 2023 |
| Minimum Investment | INR 50 Lakh |
| Stock Allocation Limit | Maximum 4% per stock at purchase |
| Core Objective | Long-term sustainable alpha generation |
| Portfolio Style | Benchmark Agnostic |
| Investment Framework | Adaptive Multifactor Quant Strategy |
| Risk Management | Dynamic Rebalancing & Cash Allocation |
| Investment Universe | Top 500 Stocks by Market Capitalization |
Fund Overview
AQUA is PL Asset Management’s pioneering Quantamental Flexicap PMS strategy designed to generate sustainable alpha across changing market cycles using a fully adaptive and rules-based investment framework.
The strategy combines:
- Quantitative intelligence
- Multifactor investing
- Adaptive market regime analysis
- Systematic risk management
- Emotion-free portfolio construction
AQUA follows a benchmark-agnostic and style-agnostic approach that dynamically adjusts according to:
- Market regimes
- Sector leadership
- Risk appetite
- Liquidity conditions
- Macro cycles
The portfolio aims to combine machine-driven precision with human investing wisdom through a “Man with Machine” framework.
PL Asset Management – Quant Leadership
Quant Models and Technology Infrastructure
PL Asset Management uses proprietary quant models supported by:
- Comprehensive data pipelines
- Sophisticated technology infrastructure
- Time-tested investment frameworks
- Systematic signal generation models
The investment process is designed around the principle:
“You can trust it, only if you can test it.”
Multi-Disciplinary Team
The strategy is managed by specialized:
- Investment professionals
- Quant researchers
- Data-driven portfolio teams
- Independent investment committee members
80 Years of Experience
PL’s equity research legacy spans over eight decades across multiple market cycles, economic environments and structural market transitions.
True Blue Quant AMC
PL transitioned early into a pure-play Quant AMC structure and established itself among India’s pioneers in quant-based asset management.
SMART Investment Philosophy
Systematic Design
A rules-based investment structure eliminates emotional and behavioral investing biases.
Measurable Performance
Strategies are rigorously tested across market cycles for consistency and sustainability.
Adaptive Models
The framework dynamically adjusts according to:
- Risk regimes
- Market conditions
- Sector leadership
- Style shifts
Repeatable Alpha
The process focuses on scalable and repeatable alpha generation through systematic execution.
Transparent Process
Every investment decision follows clearly defined rules and objective portfolio construction methods.
Decoding Quant Investing
What is Quant Investing?
Quant investing uses mathematical models, signals and systematic rules to make investment decisions instead of relying purely on subjective human judgment.
In traditional active investing:
- Humans make investment decisions directly
In quant investing:
- Humans create the rules
- Machines execute those rules objectively
Investment decisions become outcomes of predefined systems.
How AQUA’s Quant Process Works
| Step | Process |
| 01 | Data Collection & Input |
| 02 | Rules, Indicator & Signal Design |
| 03 | Strategy Back-testing |
| 04 | Execute Final Strategy |
| 05 | Continuous Review & Model Improvements |
Advantages of Quant Investing
The framework provides:
- Speed, reliability and accuracy in data processing
- Emotion-free investing discipline
- Objective and transparent decision-making
- Superior risk management
- Multi-dimensional data analytics
- Back-testing across market cycles for conviction and confidence
AQUA Strategy Overview
| Parameter | Details |
| Investment Objective | Long-term sustainable alpha generation |
| Fund Structure | Open-ended Long-only Equity PMS |
| Benchmark | BSE 500 TRI |
| Inception Date | 12th June 2023 |
| Minimum Investment | INR 50 Lakh |
| Position Size Limit | Maximum 4% per stock at entry |
AQUA’s Robust Investment Framework
The strategy is inspired by the multi-dimensional adaptability of water.
Adaptive – Regime Detection & Strategy Alignment
The framework continuously detects:
- Systematic risk appetite
- Market style leadership
- Sector regimes
- Macro conditions
The portfolio dynamically aligns according to:
- Risk-On phases
- Risk Transition phases
- Risk-Off phases
The process determines:
- Asset allocation
- Market-cap mix
- Beta levels
- Sector positioning
- Style tilts
Quantitative – Multifactor Scoring for Stock Selection
The strategy uses systematic and objective multifactor models to eliminate weaker companies and identify stronger opportunities.
Portfolio Screening Process
- Top 500 stocks by market capitalization are evaluated
- 100 illiquid stocks are eliminated
- 100 fundamentally weak stocks are removed
- Final research universe narrows to 300 stocks across:
- Large caps
- Mid caps
- Small caps
6S Framework
Stock selection combines:
- Top-down analysis:
- Macros
- Risks
- Sectors
- Styles
- Bottom-up analysis:
- Valuations
- Fundamentals
- Liquidity
- Technical indicators
Unbiased – Portfolio Construction
The strategy avoids emotional and behavioral investing biases through benchmark-agnostic portfolio construction.
The process:
- Allocates capital to top-ranked stocks during each rebalance
- Reduces:
- Sector bias
- Style bias
- Concentration risk
- Allocation bias
- Maintains diversification through:
- Maximum 4% allocation per stock at entry
The framework aims to deliver:
- Granular returns
- Diversified risk
- Repeatable performance
Alpha Focused – Rebalancing & Risk Management
The portfolio undergoes periodic restructuring for:
- Risk management
- Sector rotation
- Style alignment
- Superior return generation
Risk Management Process
- Dynamic rebalancing adjusts:
- Asset allocation
- Beta exposure
- Market-cap mix
- Lower-ranked stocks are systematically replaced
- Partial profit booking occurs in continuing winners
- Cash allocation of up to 50% may be used during elevated macro risk environments
Top Performing Sectors Since Inception
| Sector | Average Returns |
| Ship Building | 153% |
| Mining | 78% |
| Aviation | 58% |
| Finance | 36% |
| Non-Ferrous Metals | 35% |
| Iron & Steel | 28% |
| Capital Goods | 25% |
| Industrials | 25% |
| Power | 22% |
| Crude Oil | 17% |
| Alcohol | 17% |
| Realty | 17% |
| Materials | 14% |
| Logistics | 14% |
| Electricals | 13% |
| Textiles | 12% |
| Bank | 12% |
| Financials | 9% |
| Automobile & Ancillaries | 8% |
| FMCG | 8% |
10 Reasons To Choose AQUA
Man with Machine Framework
The strategy combines human investing wisdom with machine-driven execution efficiency.
80 Years of Research Expertise
The investment process is supported by PL’s deep institutional research legacy.
Style, Sector & Risk Adaptive
The framework dynamically adjusts to changing market conditions.
Benchmark, Sector & Style Agnostic
The strategy remains flexible instead of being restricted by benchmark composition.
Granular & Repeatable Alpha
Systematic portfolio construction aims to create scalable and repeatable performance.
Objective Exit & Profit Booking
Periodic rebalancing follows objective entry and exit rules.
Emotion-Free Investing
The pure-play quant framework minimizes emotional and behavioral biases.
Optimally Diversified Flexicap Strategy
The strategy maintains diversification across sectors and market capitalizations.
Dynamic Multifactor Approach
Multiple quant factors work together instead of relying on a single investment style.
Responsive Risk Management
Risk exposures are continuously monitored and dynamically adjusted.
AQUA Quant Statistics
| Parameter | Data |
| Research Legacy | 80 Years |
| Quant Team Members | 20+ |
| Proprietary Factors | 25+ |
| Market Indicators | 1000+ |
| Strategies Tested | 7500+ |
Key Highlights
| Parameter | Details |
| Investment Style | Adaptive Quantamental |
| Portfolio Type | Flexicap PMS |
| Strategy Nature | Benchmark Agnostic |
| Risk Management | Dynamic |
| Allocation Style | Multifactor |
| Stock Selection | Quant-driven |
| Rebalancing | Systematic |
| Investor Suitability | Long-term equity investors |
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Learn about the experienced fund managers responsible for investment decisions, portfolio strategy, and long-term fund performance.
Siddharth Vora
Siddharth Vora serves as the Executive Director and heads the Quantitative Investment Strategy division, championing the firm's algorithmic and proprietary research framework. Recognized as one of India's most innovative fund managers, he pioneered path-breaking PMS strategies like AQUA and MADP by combining data analytics with disciplined risk models. He is a Chartered Accountant, a CFA Charterholder, and holds an M.Sc. from the University of Warwick alongside executive education credentials from Harvard and LSE.
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AQUA follows a fully adaptive quantamental framework that combines quantitative models with systematic portfolio construction. Unlike traditional PMS strategies driven largely by human discretion, AQUA uses predefined rules, multifactor scoring and dynamic market regime analysis to make objective investment decisions.
The strategy evaluates the top 500 companies by market capitalization using multiple quantitative factors. Illiquid and fundamentally weak companies are eliminated before selecting high-ranking stocks using the proprietary 6S Framework that combines macro, sector, valuation, liquidity and technical analysis.
AQUA dynamically adjusts portfolio allocation, beta exposure and sector positioning based on changing market conditions. The strategy can also increase cash allocation up to 50% during elevated macro or market risks to help protect capital.
AQUA follows a benchmark-agnostic investment approach. The portfolio is constructed based on quantitative rankings and risk-reward opportunities instead of replicating benchmark weights or sector allocations.
AQUA is suitable for investors seeking long-term wealth creation through a disciplined, data-driven and diversified equity strategy. It may appeal to investors looking for adaptive portfolio management with reduced emotional bias and systematic risk management.