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ATOM – Mid | Small | Microcap Quantamental

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 Sandeep Neema
Benchmark BSE 500 TRI
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.

Small Today, Atomic Tomorrow | High Growth + High Alpha Potential

Fund Snapshot

Particulars Details
Strategy Type Quantamental Mid, Small & Microcap Strategy
Investment Style Quant + Fundamental Integrated Investing
Portfolio Structure Focused Equity Portfolio
Portfolio Size 40–50 Stocks
Benchmark BSE 500 TRI
Investment Universe Midcap, Smallcap & Microcap Companies
Core Objective High Growth + High Alpha Potential
Risk Profile High
Holding Period 5+ Years
Suitable For Long-term wealth creators with high risk appetite
Portfolio Approach Concentrated High-Conviction Allocation
Selection Process Multifactor Quant + Fundamental Deep Dive
Risk Management Multi-layer drawdown and liquidity controls

Fund Overview

ATOM is a Quantamental investment strategy focused on identifying emerging businesses across the midcap, smallcap and microcap universe before they become mainstream institutional holdings.

The strategy combines:

  • Quantitative screening
  • Fundamental conviction
  • Dynamic allocation
  • Liquidity-aware investing
  • Multi-layer risk management

ATOM aims to capture:

  • Faster earnings growth
  • Early-stage business leadership
  • Information inefficiency opportunities
  • Long-term structural wealth creation

The strategy follows a concentrated, high-conviction approach built around businesses with strong growth potential, improving quality and valuation re-rating opportunities.

Investment Philosophy

ATOM follows a “Quant Breadth + Fundamental Depth” philosophy where systematic quantitative models are combined with deep fundamental research to identify scalable businesses with asymmetric upside potential.

Core Beliefs

  • Smaller companies can generate superior long-term alpha
  • Under-researched businesses create pricing inefficiencies
  • Early discovery of emerging leaders improves return potential
  • Quant models improve discipline and consistency
  • Fundamental validation strengthens investment conviction
  • Concentrated portfolios enhance alpha creation potential
  • Liquidity-aware risk management is essential in smaller companies

Strategic Objective

  • Discover future market leaders early
  • Generate sustainable long-term alpha
  • Capture growth across market cycles
  • Maintain disciplined risk management
  • Build high-conviction growth portfolios

THE PL AMC EDGE

Proprietary Quant Research & IP Engine

PL’s investment framework uses:

  • 50+ proprietary factors across ~1,250 stocks
  • 20+ years of multi-cycle back testing
  • Quant + Fundamental + Technical integration
  • Bull, bear and stress-tested investment systems

Multi-Layer Risk Architecture

The framework incorporates:

  • Macro risk monitoring
  • Market risk controls
  • Sector allocation caps
  • Correlation analysis
  • Liquidity-aware position sizing
  • Embedded drawdown controls

Proven Live Track Record

The platform has:

  • 3+ years of live PMS deployment
  • Validated alpha generation across market cycles
  • Fully rules-based execution systems
  • No discretionary overrides

Institutional Edge

PL’s institutional platform includes:

  • 80+ years governance legacy
  • Omni-channel HNI and institutional distribution
  • Early-mover advantage in quant-based investing

PL Quant Capabilities

Unified Quant Investment Engine

A full-stack quantitative framework powering:

  • PMS
  • AIF
  • Mutual Fund strategies

The system has been back tested across 20+ years of market cycles.

Dynamic Multi-Asset & Size Allocation

Allocation decisions are driven by:

  • Risk regimes
  • Relative attractiveness
  • Macro conditions
  • Liquidity trends

Adaptive Style & Factor Allocation

Dynamic factor tilts across:

  • Value
  • Momentum
  • Quality
  • Growth
  • Low-volatility styles

Factor weights shift according to changing market environments.

Smart Beta, Cash & Risk Alignment

The framework dynamically aligns:

  • Portfolio beta
  • Volatility
  • Cash positioning

The objective remains:

  • Alpha generation
  • Diversification
  • Downside protection

Multi Factor Stock Selection Engine

The system uses:

  • 10+ factor groups
  • 50+ proprietary factors
  • Coverage across 1250+ stocks

Selection remains fully systematic and rules-based.

Sector Rotation & Allocation Models

Sector allocation is determined using:

  • Relative strength
  • Momentum
  • Risk signals
  • Valuation analysis

The process avoids discretionary timing decisions.

Portfolio-Level Risk Management

Multi-layer controls exist across:

  • Stock level
  • Sector level
  • Asset level
  • Portfolio level

The framework includes:

  • Volatility targeting
  • Drawdown controls
  • Exposure management

Regime Detection & Forward Intelligence

The process integrates:

  • Macro analysis
  • Liquidity trends
  • Valuation signals
  • Sentiment analysis
  • Forward-looking estimates

Systematic Rebalancing & Execution

Portfolio rebalancing remains:

  • Structured
  • Liquidity-aware
  • Cost-aware
  • Rule-based

Globally Scalable Quant Architecture

The framework is:

  • Geography agnostic
  • Scalable across datasets
  • Extendable to multi-country strategies

PL’s Fundamental Capabilities

Eight Decades of Research Legacy

PL brings over 80 years of market experience navigating:

  • Bull markets
  • Economic crises
  • Structural reforms
  • Multiple business cycles

Institutional-Scale Research Platform

The platform includes a 45+ member research team covering:

  • Sectors
  • Macroeconomics
  • Strategy
  • Company fundamentals

Deep Promoter & Management Access

Long-standing corporate relationships provide differentiated management insights and industry understanding.

Comprehensive Market Coverage

PL actively covers:

  • 300+ companies
  • ~95% of listed market capitalization

Award-Winning Research Leadership

The institution has consistently ranked among India’s leading research houses.

AI-Augmented Research

Proprietary AI agents support:

  • Data analysis
  • Screening
  • Research productivity

Quantamental Edge

The framework combines:

  • Systematic signals
  • Qualitative analysis
  • Fundamental conviction

Leadership & Investment Stewardship

Leadership Designation Experience
Dr. Punita Kumar Sinha Chairperson – Asset Management 30+ years global investment experience
Siddharth Vora Head – Quant Strategies Architect of PL Quant Platform
Sandeep Neema Senior Fund Manager – Equity & Quantamental 20+ years portfolio management experience

Multi-Disciplinary Quant Team

The investment ecosystem includes:

  • Quant Researchers
  • Quant Developers
  • Data Scientists
  • Macro Analysts
  • Technical Analysts
  • Economists
  • Financial Engineers
  • AI/ML Engineers
  • Statisticians
  • Mathematicians
  • Risk Analysts
  • Fundamental Analysts

Strategy Overview

Parameter Details
Portfolio Role High Growth + High Alpha
Risk Profile High
Benchmark BSE 500 TRI
Portfolio Type Focused Growth Portfolio
Stock Universe Mid, Small & Microcaps
Investment Horizon 5+ Years

Why Mid, Small & Micro Caps?

The strategy focuses on smaller companies because they may offer:

  • Faster earnings growth potential
  • Lower institutional ownership
  • Pricing inefficiencies
  • Greater operational leverage
  • Higher information asymmetry
  • Research arbitrage opportunities

Unique Traits

High Alpha Discovery Framework

ATOM focuses on under-owned and under-researched businesses where alpha opportunities may be larger.

Early Identification of Emerging Leaders

The strategy aims to identify scalable companies before they become mainstream institutional holdings.

Concentrated Growth Portfolio

Capital is allocated to a focused set of high-conviction opportunities with asymmetric return potential.

Information Asymmetry Alpha

The framework seeks opportunities where limited analyst coverage creates valuation inefficiencies.

Risk Management

Security-Level Controls

The framework uses:

  • Position sizing discipline
  • Entry controls
  • Exit triggers
  • Liquidity monitoring

Sector-Level Controls

Sector exposure is managed through:

  • Allocation caps
  • Cyclicality assessment
  • Diversification controls

Portfolio-Level Controls

Portfolio management includes:

  • Volatility monitoring
  • Drawdown management
  • Cash buffers
  • Liquidity awareness

ATOM Investment Process

Step Process
01 Quant Screening using Multifactor Quant Model
02 Arrive Size & Sector Exposure
03 Fundamental Deep Dive for Selection
04 Valuation & Conviction-Based Stock Allocation
05 Active Risk Management
06 Review, Monitoring & Restructure

DELTA Framework

Δ in Quality (Q)

The framework evaluates improvement in:

  • Capital allocation
  • Operational efficiency
  • Cash flows
  • Earnings quality

Δ in Growth (G)

The strategy identifies businesses where future growth may exceed:

  • Historical growth
  • Peer performance
  • Industry expectations

Focus areas include:

  • Revenue growth
  • Margin expansion
  • Volume growth
  • Profit acceleration

Δ in Valuations (V)

The framework evaluates valuation re-rating potential driven by:

  • Improving business quality
  • Structural growth visibility
  • Stronger long-term fundamentals

ATOM Framework

Framework Stage Process
Elimination Quant models eliminate weak candidates
Allocation Capital allocation across mid, small and microcaps with liquidity awareness
Selection Fundamental deep-dive using DELTA Framework
Position Sizing Conviction, valuation and liquidity-based allocation
Risk Management Sector, stock and portfolio exposure controls
Restructuring Rebalancing based on quant signals and DELTA changes

Portfolio Highlights

Feature Details
Portfolio Style Concentrated Growth
Allocation Approach Quantamental
Market Cap Focus Mid, Small & Microcaps
Alpha Objective High
Diversification Style Selective
Risk Management Multi-layered
Investment Bias Growth + Quality

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Section: Performance Analysis
Fund Growth vs Benchmark Trend

Track how the fund has performed against its benchmark over time through a comparative line graph analysis.

ATOM

Benchmark: BSE 500 TRI

Section: Performance Comparison
Fund vs Benchmark Bar Graph

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Section: Performance Comparison
Fund vs Benchmark Comparison Table

Review and compare fund returns against benchmark performance across different investment periods in a detailed tabular format.

PL Asset Management Private Ltd

AUM(Cr.) 1M 3M 6M 1Y 2Y 3Y 4Y 5Y Ince.
Performance ₹5.60 3.27 19.26 NA NA NA NA NA NA 19.21
Benchmark NA 1.73 12.10 NA NA NA NA NA NA 7.24
Section: Fund Leadership
Meet the Fund Managers

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

Sandeep Neema

Sandeep Neema

Sandeep brings over 30 years of investment experience across global asset management, mutual funds, and institutional research. He spent 13 years at GMO Emerging Markets as Portfolio Manager and Senior Analyst, co-managing US$3 billion across flagship emerging market strategies while overseeing CEMEA, Korea, and India allocations. Prior to this, he managed approximately ₹30 billion in equity assets at JM Financial Mutual Fund, where he helped scale AUM from ₹1 billion to ₹50 billion, launched four new funds, pioneered India's first arbitrage fund, and delivered a Top 100 Global Fund ranking in 2007. Earlier, he held senior research leadership roles at UTI Securities, BNP Paribas, and Kotak Goldman Sachs, and was part of the advisory team that assisted the Government of India in the disinvestment of Hindustan Zinc.

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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 ATOM different from traditional small-cap strategies? +

ATOM combines quantitative models with deep fundamental research to identify emerging businesses before they become widely tracked institutional opportunities. The strategy focuses on disciplined stock selection instead of broad small-cap exposure.

2. Why does ATOM invest in mid, small and microcap companies? +

These segments often offer faster earnings growth, greater operational leverage and higher pricing inefficiencies due to lower institutional coverage. This creates opportunities for long-term alpha generation through research-driven investing.

3. How does ATOM manage risk in smaller companies? +

The strategy uses liquidity-aware allocation, position sizing controls, sector exposure limits, drawdown management and systematic rebalancing to manage volatility and concentration risks within the portfolio.

4. What is the DELTA Framework used in ATOM? +

The DELTA Framework evaluates companies based on improvement in quality, future growth acceleration and valuation re-rating potential. It combines quantitative signals with fundamental conviction to identify scalable businesses.

5. Who is ATOM suitable for? +

ATOM is suitable for high-risk investors with a long-term investment horizon who are seeking high-growth opportunities and are comfortable with the higher volatility typically associated with mid, small and microcap investing.