Premium Access PMS

A Q U A – Adaptive. Quantitative. Unbiased. Alpha.

Distributed through AltPort Experts. Comprehensive fund documentation can be accessed through our research team.
Category PMS
Company PL Capital (Prabhudas Lilladher Asset Management)
Fund Managers Siddharth Vora
Share: f x in w

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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Section: Fund Leadership
Meet the Fund Managers

Learn about the experienced fund managers responsible for investment decisions, portfolio strategy, and long-term fund performance.

Siddharth Vora

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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Section: Help & Support
Frequently Asked Questions

Find answers to common questions about fund investments, performance, portfolio strategy, and investor services.

1. What makes AQUA different from traditional PMS strategies? +

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.

2. How does AQUA select stocks for the portfolio? +

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.

3. How does AQUA manage risk during volatile markets? +

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.

4. Is AQUA benchmark-focused or benchmark-agnostic? +

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.

5. Who is AQUA suitable for? +

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.