Nippon Life India Asset Management Ltd. · NSE:NAM_INDIA

Nippon Life India Asset Management — Nippon India Asset Allocator FoF — Investor Presentation (August 2024)

28 slides from Nippon Life India Asset Management's investor presentation, August 2024

  1. Slide 1: Nippon India Asset Allocator FoF

    Data Classification: Public Nippon India Asset Allocator FoF (An open ended fund of funds scheme investing in equity oriented schemes, debt oriented schemes and gold ETF, units of ETFs/Index Funds of Nippon India Mutual Fund or any other Mutual Fund(s)

  2. Slide 2: Asset Class & Sub asset class trends keep changing!

    Data Classification: Public Asset Class & Sub asset class trends keep changing!

  3. Slide 3: Winners keep changing among Asset classes

    Data Classification: Public Winners keep changing among Asset classes Top Performers: Different Asset Classes • Equity – 4 years outperform in • Gold* - 4 years different years. • Debt – 2 years Note: 1) *Gold Futures prices from MCX; 2) For Equity, BSE 100 TRI returns are considered; 3) For Debt, C

  4. Slide 4: And Even Within Asset Classes

    Data Classification: Public And Even Within Asset Classes Returns(%) Equity Returns (%) Debt Top Performers in Equities: Top Performers in Debt: • Large Caps – 3 years • Short Term Debt - 6 years • Mid Caps - 2 years • Long Term Debt - 4 years • Small Caps 5 years Note: 1) For Large Cap, BSE 100 TRI

  5. Slide 5: Challenges in Navigating from one Asset class to another

    Data Classification: Public Challenges in Navigating from one Asset class to another Change or Key Capturing the rebalancing of Fundamentals structural Hence, extent Asset driving returns shifts, Tops and to which Allocation may for Equity are Bottoms of a valuations/yiel lead to quintessentiall cyc

  6. Slide 6: Robust & unbiased dynamic asset allocation framework may be the solution

    Data Classification: Public Though it’s difficult to predict Individual Asset class trends. But a robust & unbiased dynamic asset allocation framework may be the solution

  7. Slide 7: What we Believe

    Data Classification: Public What we Believe 2. Capital/Liquidity is ONE – all traded markets are connected, hence price performances are often related 1. Global Cues matter a lot 3. Assess Fundamental, Macro, Behavioral & Sentiment Factors of all Asset Classes before going for Asset Allocation 4. Fo

  8. Slide 8: What we Offer

    Data Classification: Public What we Offer A Fund of Funds scheme investing in equity oriented schemes, debt oriented schemes and gold ETF, units of ETF’s/Index Funds of Nippon India Mutual Fund or any other Mutual Fund(s) Aim to Benefit from three layers of alpha: 01 02 03 RULES BASED ALPHA RULES BA

  9. Slide 9: Presenting Nippon India Asset Allocator FoF (NIAAF)

    Data Classification: Public Presenting Nippon India Asset Allocator FoF (NIAAF) (An open ended fund of funds scheme investing in equity oriented schemes, debt oriented schemes and gold ETF, units of ETFs/Index Funds of Nippon India Mutual Fund or any other Mutual Fund(s) A Solution that aims to capt

  10. Slide 10: Investment Objective & Asset Allocation

    Data Classification: Public Investment Objective & Asset Allocation The primary investment objective of the Scheme is to seek long term capital growth by investing in units of equity oriented schemes, debt oriented schemes, gold ETF, units of ETFs/Index Funds of Nippon India Mutual Fund or any other

  11. Slide 11: Diversified Offering

    Data Classification: Public Diversified Offering Nippon India Large Cap Fund Equity Nippon India Growth Fund Nippon India Small Cap Fund Nippon India Asset Nippon India Short Term Fund Allocator Debt Nippon India Gilt Securities Fund FoF Gold Nippon India ETF Gold BeES The schemes mentioned form a p

  12. Slide 12: In-House Proprietary Model

    Data Classification: Public In-House Proprietary Model Sensex to Global Market Trade INR Market Risk Total Demand Breadth Momentum Weighted Forward Sentiment Market Cap Indicator Indicator Dollar Index Spread Ratio Across Asset       Classes Within Asset     Class Condition al    The mo

  13. Slide 13: Model Parameters

    Data Classification: Public Model Parameters Global Demand Indicator (constituted from Lumber, Copper & Nickel (L-C-N) : Lumber - Represent strength in the housing market Copper - Indicator of economic health Nickel - Represent industrial and infrastructural activity levels. Market Breadth Indicator

  14. Slide 14: Portfolio Details

    Data Classification: Public Portfolio Details

  15. Slide 15: QoQ Asset Allocation Trend Since Launch

    Data Classification: Public QoQ Asset Allocation Trend Since Launch Asset Allocation Trend 66.1 64.2 62.9 62.7 59.0 58.5 55.2 56.3 53.8 52.6 51.9 51.7 47.8 44.8 43.9 38.3 33.0 31.2 27.7 27.5 25.7 21.5 22.0 22.6 22.0 20.0 18.6 18.6 17.2 15.0 22.0 21.7 21.2 20.8 21.9 20.0 19.2 15.9 17.4 15.8 17.0 17.5

  16. Slide 16: Portfolio Allocation Trend Since Launch

    Data Classification: Public Portfolio Allocation Trend Since Launch Dynamic Asset Allocation Approach Current Shifts : • Equity – Increasing Large Cap Wt - Rationale: Valuations/ Volatility • Debt – Increasing Duration play via G-secs – Rationale: rate moderation The schemes mentioned form a part of

  17. Slide 17: Performance Details

    Data Classification: Public Performance Details

  18. Slide 18: Scheme Performance

    Data Classification: Public Scheme Performance Different plans shall have a different expense structure. The performance details provided herein are of Growth Plan (Regular Plan). Past performance may or may not be sustained in future and the same may not necessarily provide the basis for comparison

  19. Slide 19: Performance of other funds managed by the Fund Manager

    Data Classification: Public Performance of other funds managed by the Fund Manager

  20. Slide 20: Performance of Schemes managed by Ashutosh Bhargava

    Data Classification: Public Performance of Schemes managed by Ashutosh Bhargava Past performance may or may not be sustained in future and the same may not necessarily provide the basis for comparison with other investment. Performance of the schemes (wherever provided) are calculated basis CAGR for

  21. Slide 21: Performance of Schemes managed by Sushil Budhia

    Data Classification: Public Performance of Schemes managed by Sushil Budhia ##The Scheme Returns are inclusive of the impact of Segregation of portfolio in the respective schemes. For impact on NAV on account of Segregation of portfolio, please refer SID/KIM of the relevant Schemes and detailed perf

  22. Slide 22: Scheme Features

    Data Classification: Public Scheme Features Scheme Name Nippon India Asset Allocator FoF An open ended fund of funds scheme investing in equity oriented schemes, debt Type of Scheme oriented schemes, gold ETF, units of ETFs/Index Funds of Nippon India Mutual Fund or any other Mutual Fund(s). Benchma

  23. Slide 23: Product Labels

    Data Classification: Public Product Labels

  24. Slide 24: Product Labels

    Data Classification: Public Product Labels

  25. Slide 25: Product Labels

    Data Classification: Public Product Labels

  26. Slide 26: Product Labels

    Data Classification: Public Product Labels

  27. Slide 27: Disclaimer

    Data Classification: Public Disclaimer The information herein is meant only for general reading purposes and the views being expressed only constitute opinions and therefore cannot be considered as guidelines, recommendations or as a professional guide for the readers. Certain factual and statistica

  28. Slide 28: Thank you for your time!

    Data Classification: Public Thank you for your time!

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