Rajandran R Creator of OpenAlgo Sketchmaker, RagZ. Building GenAI Applications. Telecom Engineer turned Full-time Derivative Trader. Mostly Trading Nifty, Banknifty, High Liquid Stock Derivatives. Trading the Markets Since 2006 onwards. Using Market Profile and Orderflow for more than a decade. Designed and published 100+ open source trading systems on various trading tools. Now the recent curiosity on building Trading AI Agents.

How Smart Beta ETFs Combine the Best of Active and Passive Investing

2 min read

The debate between active and passive investing has divided investors for years. While active funds try to beat the market but come with higher costs, you enjoy low-cost exposure with passive funds that simply track indices. For investors looking for both efficiency and performance, this creates a gap. That’s where smart beta strategies come in. With smart beta ETFs, your investment is guided by both rule-based investing and factor-driven strategies.

Smart beta ETFs combining active and passive investing

In this blog, we have discussed how these funds help investors with a more balanced approach.

What Are Smart Beta ETFs?

Smart beta ETFs are a type of exchange-traded fund that follows a rules-based investment strategy. However, they do not track traditional market-cap indices, and instead, focus on specific factors. These may include:

Open Varsity: 13 free courses for traders and investors

FREE AND SELF-PACED

Open Varsity: 13 free courses for traders and investors

From stock market basics to options strategies, quant trading and taxation, built around Indian market examples.

  • 407 chapters, beginner to expert
  • Options, Python, AmiBroker AFL and quant tracks
  • Risk management and trading psychology
  • Momentum
  • Value
  • Quality
  • Low volatility

The concept of smart beta ETFs is to build a portfolio that can potentially outperform standard indices over time. These funds go beyond simple passive investing as they choose stocks based on pre-defined criteria.

How Do These ETFs Work?

Investors benefit from the methodical and transparent approach to investing through factor-based funds. These ETFs use predefined rules to pick and weight stocks instead of choosing them based on market capitalisation. For example, a momentum-based ETF may include stocks that have shown strong performance in recent months.

From time to time, the portfolio is balanced so that it continues to reflect the chosen factor. This rebalancing follows a specific methodology, much like MSCI index rebalancing, and takes place automatically. As the stock selection process does not involve any human intervention, it remains free from emotional biases.

How Smart Beta ETFs Combine Active and Passive Investing

Now, let’s understand how both active and passive investment strategies are involved in these funds.

Passive Structure with Lower Costs

In terms of structure, these ETFs operate like traditional index funds. They are managed passively and have lower expense ratios compared to actively managed funds, even against direct mutual fund plans. As a result, these funds are accessible to a wide range of investors looking for low-cost investment options.

Active Strategy Through Factor Selection

Although the structure remains passive, the strategy itself has an active element. These ETFs choose stocks based on factors that have historically delivered better returns or involve lower risk. For instance, a Nifty 500 Momentum 50 ETF picks stocks based on momentum. Its goal is to capitalise on trends in the market. This approach reflects an active investment philosophy.

Rules-Based Discipline

One of the biggest advantages of these ETFs is their disciplined approach. All the decisions are made on the basis of predefined guidelines. This rules out the possibilities of impulsive actions, thereby maintaining consistency during volatile conditions.

Types of Smart Beta Strategies

Here are the broad categories of smart beta strategies

  • Momentum-based ETFs invest in stocks that have shown strong recent performance.
  • Value ETFs invest in stocks that may have strong fundamentals but are trading at lower prices.
  • Low volatility ETFs invest in stable stocks, which reduces sharp fluctuations.
  • Quality-based ETFs choose companies with strong financials as they remain more resilient during downturns.

Key Benefits for Investors

These ETFs present three key benefits to investors:

  • They often deliver better risk-adjusted returns compared to traditional index funds.
  • As the selection process is pre-defined, they offer transparency. So, you know exactly how the portfolio is built.
  • These funds are generally cheaper than active funds, which makes them cost-efficient.

Risks to avoid

While these funds look attractive, there’s no guarantee that they will outperform the market. Different factors go through cycles, and there may be periods when a particular strategy underperforms.

Investors also cannot rule out the risk of concentration. Some ETFs may have higher exposure to specific sectors.

Conclusion

When you invest in smart beta ETFs, you strike a balance between the discipline of passive investing and the strategy of active investing. For investors looking beyond traditional index funds while keeping costs in check, these ETFs are an innovative avenue.

Just like any other investment, you need a long-term perspective to grow your wealth. Choose a smart beta ETF based on the factor that aligns with your investment philosophy as you select the fund. 

Marketcalls Elite Traders Club

MEMBERSHIP

Marketcalls Elite Traders Club

Every Marketcalls course and live mentorship in one membership: 127 courses and 2,500+ hours of learning.

  • Market Profile, Orderflow, AFL, Pine Script and Python
  • Live mentorship and TradEdge trading room
  • Premium tools and the Elite Slack community

Learn by watching: free videos every week

Market Profile, order flow, Python, AI and OpenAlgo tutorials on YouTube.

Rajandran R Creator of OpenAlgo Sketchmaker, RagZ. Building GenAI Applications. Telecom Engineer turned Full-time Derivative Trader. Mostly Trading Nifty, Banknifty, High Liquid Stock Derivatives. Trading the Markets Since 2006 onwards. Using Market Profile and Orderflow for more than a decade. Designed and published 100+ open source trading systems on various trading tools. Now the recent curiosity on building Trading AI Agents.

Leave a Reply

Get Notifications, Alerts on Market Updates, Trading Tools, Automation & More