Multi Asset Dynamic Portfolio Alpha

Prabhudas Lilladher
PMS Multi Asset
Benchmark
NSE Multi Asset Index 1
Inception Date
21 September 2023
Min. Investment
₹50,00,000
SIP Available
Yes
STP Available
Yes

Investment Strategy

Investment Approach

MADP Alpha employs a quantitative, technical, and fundamental research-driven approach to dynamic and tactical asset allocation. The strategy systematically shifts allocations between asset classes by utilizing predictive models. These models incorporate economic, fundamental, technical, and alternative data points to dynamically adjust exposure across a range of financial instruments.

Investment Objective

This investment strategy aims to achieve sustained long-term capital growth while prudently managing associated risks. It employs a dynamic, multi-asset approach, allocating capital across a diversified portfolio of financial instruments. During periods of market uncertainty, the focus shifts to low-risk assets to mitigate volatility. Conversely, in favorable market conditions, the portfolio will be adjusted to capture returns from higher-yielding assets.

Performance Returns

Returns as on 2025-12-31

Trailing Returns

Period Strategy Benchmark Outperformance
1 MONTH 0.40% 0.10% 0.30%
3 MONTHS 4.99% 3.45% 1.54%
6 MONTHS 6.28% 3.54% 2.74%
1 YEAR 7.58% 9.54% -1.96%
2 YEAR 9.80% 11.16% -1.36%
SINCE INCEPTION 14.39% 13.07% 1.32%

Calendar Year Performance

Year Return

Financial Year Performance

Year Return

Past performance is not indicative of future results. Returns are subject to market risks.

Fund Managers

Siddharth Vora

Head, Quant Investment Strategies Fund Manager, PL Asset Management Executive Director

Siddharth has been instrumental in establishing PL's presence in quantitative asset management. His strategic vision focuses on developing adaptive, process-driven investment strategies aimed at generating sustainable alpha while mitigating cognitive biases. He demonstrated early foresight regarding the potential of quantitative methods and the transformative impact of technology and data analytics on India's investment ecosystem. At PL, he has assembled and currently leads a diverse team of specialists dedicated to launching innovative investment strategies. Recognized as one of India's youngest and most forward-thinking fund managers, Siddharth is a prominent authority on quantitative investing. His expertise is frequently sought at industry conferences, in business publications, and on various media platforms. Siddharth possesses a distinguished academic and professional background. He is a Chartered Accountant, a CFA Charterholder, and holds an M.Sc. in Management for Business Excellence, complemented by a double diploma in World Politics from the University of Warwick. Furthermore, he is a SEBI-registered Research Analyst, Investment Advisor, and Portfolio Manager, and has successfully completed CMT Level 2. His knowledge has been further enriched through executive programs from esteemed institutions including Harvard University, the London School of Economics, and Cornell University. Siddharth is the fund manager and principal architect of PL's flagship equity strategy, AQUA. AQUA represents an **A**daptive, **Q**uantitative, **U**nbiased, **A**lpha-focused investment approach. This strategy is pioneering in India as a style-agnostic and style-adaptive flexicap equity offering. In its inaugural year, AQUA achieved a notable return exceeding 75%, outperforming the benchmark BSE 500 by generating 37.5% alpha and the Nifty50 by over 50% alpha. Within a short timeframe, AQUA's Assets Under Management (AUM) surpassed INR 400 crore, and it has consistently been ranked among India's top-performing flexicap PMS offerings. Prior to AQUA, Siddharth introduced the Multi-Asset Dynamic Portfolio (MADP). This was a novel multi-asset PMS that leverages quantitative technology for tactical asset allocation. The combined approach of AQUA and MADP embodies the "man with machine" philosophy, creating a synergy between traditional investment principles and advanced quantitative techniques, thereby reinforcing PL's leadership in the quantitative asset management sector. In recognition of his innovative contributions to quantitative investing, Siddharth was honored as one of India's most influential young leaders by Asia One in 2022.

Portfolio Details

Portfolio Composition

Large Cap
5.80%
Mid Cap
25.93%
Small Cap
36.04%
Cash & Equivalent
4.68%

Top 5 Holdings

  • Gold_Nippon India_Gold Bees ETF 26.35%
  • Debt_Zerodha Fund House Zerodha Nifty 1D Rate Liquid 4.68%
  • JM Financial Ltd 3.18%
  • Coromandel International Ltd 3.17%
  • Radico Khaitan Ltd 2.98%

Top 5 Sectors

  • Gold 26.35%
  • Financials 15.16%
  • Health Care 12.51%
  • Consumer Discretionary 11.12%
  • Chemicals 8.35%

Portfolio Characteristics

total number of stocks
28
top 5 stocks percent
40.36%
top 5 sectors percent
73.49%
average market cap
N/A
portfolio age
2 Yrs, 3 Months
sip
Available
stp
Available

Fee Structure

Fixed Fee

AMC: 2.5%

Variable Fee

AMC: 1.5%

Hurdle: 10%

Profit Sharing: 15%

Exit Load

Year 1: 3%

Year 2: 2%

Year 3: 1%

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Disclaimer

Returns are as of 2025-12-31. Returns for periods up to one year are not annualized. Returns for periods exceeding one year are annualized. Returns are computed using the Time Weighted Rate of Return (TWRR) methodology and are provided by the respective Asset Management Companies (AMCs). 'ND' denotes 'No Data', and 'NA' denotes 'Not Applicable'. The performance of the respective Benchmark Indices is presented above. Benchmark(s) are as defined in SEBI circular no. SEBI/HO/IMD/IMD-PoD-2/P/CIR/2022/172 dated December 16, 2022, APMI circular no. APMI/2022-23/02 dated March 23, 2023, and Revised Annexure-1.

This page is provided solely for general informational purposes in relation to the strategy and is based on publicly available information. While reasonable care has been taken to ensure accuracy, the information may not reflect the most recent updates.

Nothing on this page constitutes investment, financial, or legal advice. Investment decisions should be made after consulting a qualified advisor and reviewing official scheme documents.

Last Updated: January 2026 · Published by Affluense AI (affluense.ai)