Specified Investment Products: A Complete Guide for High-Net-Worth Investors

In Singapore’s regulatory vocabulary, “Specified Investment Products” (SIPs) are retail investment products that are more complex than the plain-vanilla, “Excluded Investment Products” (EIPs) such as ordinary shares or simple bond funds. The Monetary Authority of Singapore (MAS) uses this label to trigger extra safeguards before such products can be sold to everyday investors.

Regulators classify certain complex securities as specified investment products. These instruments offer opportunities beyond traditional stocks and bonds, yet they demand higher levels of knowledge, experience, and risk awareness. This article explains the core features of SIPs, recent regulatory changes, and how Nurp integrates machine-learning algorithms into a compliant, transparent framework for sophisticated portfolios.

What Are Specified Investment Products?

The Monetary Authority of Singapore (MAS) defines specified investment products as financial instruments with structures, features, or risks that retail investors may find hard to understand. Examples include leveraged foreign-exchange contracts, futures, structured warrants, certain exchange-traded funds, and callable bull or bear contracts.moneysense.gov.sgpoems.com.sg

Because of their complexity, investors must pass a Customer Account Review (CAR) for listed SIPs or a Customer Knowledge Assessment (CKA) for unlisted SIPs before trading.

Key Characteristics

  • Embedded leverage or derivatives
  • Non-standard pay-offs or capital protection terms
  • Greater sensitivity to market volatility
  • Higher disclosure and suitability requirements for advisers

 

Recent Regulatory Developments

In March 2025 MAS proposed a new framework that would allow retail access to private-market funds while maintaining SIP safeguards. The consultation highlights rising demand for private equity, private credit, and infrastructure investments.reuters.com

 

Separately, MAS is refining margin rules for product financing involving SIPs traded off-exchange, aiming to cap exposures relative to licence holders’ free financial resources.

 

Benefits and Risks of SIPs

 

Benefit Explanation
Diversification Exposure to return drivers that do not track broad equity indexes
Potential for enhanced returns Leverage and structured pay-offs can amplify gains when used responsibly
Inflation protection Commodity futures and gold contracts can hedge rising prices
Tactical flexibility Futures and options enable precise hedging or speculative positions

 

Risk Mitigation Approach
Market volatility Position sizing and predefined stop-loss rules
Counterparty exposure Trading through regulated brokers and central clearing where possible
Liquidity constraints Clear exit plans and diversified allocation sizes
Knowledge gap Mandatory CAR or CKA and ongoing investor education

 

Due Diligence Checklist for SIP Allocation

  • Verify broker licensing and segregation of assets
  • Review audited performance and trade-level transparency
  • Confirm margin policies and leverage limits
  • Assess algorithm methodology and update frequency
  • Establish liquidity windows and redemption procedures

 

Key Takeaways

  • Specified investment products encompass derivatives and structured instruments that require additional knowledge and risk controls.
  • MAS mandates suitability assessments such as CAR and CKA to protect retail participants.
  • Recent proposals aim to widen access to private-market funds while preserving SIP safeguards.

 

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Jeff Sekinger
Jeff Sekinger | Wealth Strategies

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AI Quantitative
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Bingham Zhou

Bingham Zhou, CFA, has over 15 years of experience as a quantitative researcher. His expertise spans systematic equity strategies, CTA trend-following, and interest rate proprietary trading in both U.S. and Asian markets. He holds advanced degrees from MIT, Carnegie Mellon, and Yale.

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Quant–Investment Strategist
Greg doscher

Greg Doscher was a CFO for many years who built out many quantitative strategies and investment tools to manage and enhance risk adjusted returns in the company’s pension plan. Prior to joining Nurp, he consolidated his skills in coding and discretionary trading to develop a comprehensive and fully automated algorithmic trading system deployed across 200+ futures markets and cryptocurrencies that encompassed all of the trading strategies he had honed over the last 22 years in finance

Quant–Investment Strategist
Marcin Borratynski

Marcin was Head of Quant IT at the USD 4bn+ CERN Pension Fund, where he spent nearly a decade building quantitative asset allocation systems and implementing algorithmic investment strategies for a multi-asset institutional portfolio.Before joining Nurp Marcin was also Senior Quant Strategist at Evooq, a Swiss-based fund managing four strategies across equities, gold, and equity derivatives.Marcin holds a degree in Computer Science an MBA from the University of Geneva and the Certificate in Quantitative Finance (CQF).

Product Manager

Abhayjit Anand

Abhay has worked with Nurp since 2022. As a Product Strategist, he focuses on building, refining, and commercializing algorithmic trading strategies. He brings seven years of experience in financial trading – combining macro research, technical analysis, quantitative strategy development, and market psychology. Alongside his work at Nurp, Abhay also serves as an Investment Analyst at Orca Capital. Before entering financial markets professionally, he spent eight years at IBM, including three years in the AI & data division as a Delivery Lead managing complex implementation projects.