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MASK Prime Picks

Mirae Asset Sharekhan Limited
PMS Multi Cap & Flexi Cap
Benchmark
S&P BSE 500 TRI
Inception Date
25 June 2018
Min. Investment
₹50,00,000
SIP Available
No
STP Available
No

Investment Strategy

Investment Approach

The investment strategy is anchored by a robust stock selection methodology, characterized by a balanced allocation. This approach encompasses two distinct portfolio components: a core holding of established companies exhibiting strong structural growth characteristics (Quality), and a dynamic allocation to midcap companies aimed at generating enhanced returns (Alpha).

Investment Objective

MASK Prime Picks is a discretionary portfolio management service (PMS) employing a multi-cap investment approach. This strategy is designed to achieve superior risk-adjusted returns through various market conditions.

Performance Returns

Returns as on 2025-12-31

Trailing Returns

Period Strategy Benchmark Outperformance
1 MONTH -1.62% -0.24% -1.38%
3 MONTHS 3.03% 5.02% -1.99%
6 MONTHS -2.41% 1.63% -4.04%
1 YEAR -0.52% 7.63% -8.15%
2 YEAR 5.40% 11.63% -6.23%
3 YEAR 15.26% 16.39% -1.13%
5 YEAR 13.14% 16.81% -3.67%
SINCE INCEPTION 11.50% 14.70% -3.20%

Calendar Year Performance

Year Return
CY 2025 -0.52%
CY 2024 11.65%
CY 2023 37.87%
CY 2022 -1.18%

Financial Year Performance

Year Return
FY 26_YTD 6.80%
FY 25 1.29%
FY 24 45.67%
FY 23 -3.07%

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

Fund Managers

Gaurav Dua

Fund Manager

Mr. Gaurav Dua is an engineering graduate with a postgraduate degree in Finance from Mumbai University, obtained in 1997. His professional journey, exceeding two decades, encompasses extensive experience in equity research and various capital market operations within prominent research and broking firms. Notably, he served as Head of Research at Sharekhan for approximately a decade. Currently, Mr. Dua is responsible for the management of Sharekhan's flagship Portfolio Management Service (PMS) strategy, the Prime Picks Portfolio. This portfolio is strategically constructed as an all-weather solution, engineered to deliver superior performance irrespective of prevailing market cycles. He is assisted by a dedicated team of 10 to 15 equity research analysts, each possessing an average of 8 to 10 years of industry experience.

Portfolio Details

Portfolio Composition

Large Cap
0%
Mid Cap
0%
Small Cap
0%
Cash & Equivalent
0%

Top 5 Holdings

  • Undisclosed N/A
  • Undisclosed N/A
  • Undisclosed N/A
  • Undisclosed N/A
  • Undisclosed N/A

Top 5 Sectors

  • Undisclosed N/A
  • Undisclosed N/A
  • Undisclosed N/A
  • Undisclosed N/A
  • Undisclosed N/A

Portfolio Characteristics

total number of stocks
30
top 5 stocks percent
N/A
top 5 sectors percent
N/A
average market cap
341082.19
portfolio age
7 Yrs, 6 Months
sip
Not Available
stp
Not Available

Fee Structure

Fixed Fee

AMC: 2%

Variable Fee

AMC: 2%

Hurdle: 18%

Profit Sharing: 20%

Exit Load

Year 1: 0%

Year 2: 0%

Year 3: 0%

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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)