What are smart beta strategies? A guide to factor-based investing

How do smart beta strategies work?

Smart beta strategies operate on a structured, rules-based system that blends factor-driven insights with systematic investment approaches. Here's how they work:

Factor-based selection

Smart beta starts with identifying specific characteristics, or "factors," that influence risk and return. These factors help select the securities included in the portfolio. Common factors include:

• Value. Focuses on stocks that appear cheaper based on metrics such as price-to-earnings or price-to-book ratios, with the aim of benefiting if valuations adjust.
• Momentum. Prioritises stocks with strong recent performance, based on the view that trends may continue for a period.
• Low volatility. Selects investments with reduced price fluctuations, which may reduce volatility, but can still fall in value.
• Quality. Highlights companies with stronger financial characteristics, such as stable earnings or solid balance sheets, that may be more resilient under certain market conditions.
• Size. Focuses on market capitalisation, such as smaller companies with higher growth potential or larger companies with more established businesses, depending on the strategy's goals.

By focusing on these factors, smart beta strategies can create targeted exposures linked to objectives such as growth, risk management or income generation.

Rules-based weighting

After selecting securities based on factors, smart beta determines how much weight each should have in the portfolio. Unlike traditional market-cap-weighted indices, which give more weight to the largest companies, smart beta employs alternative weighting methods:

• Equal weighting. Each stock is given an equal share of the portfolio, ensuring no single security dominates.
• Fundamental weighting. Securities are weighted based on metrics like earnings, book value, or dividends.
• Factor weighting. Allocates more weight to securities that exhibit the desired factor characteristics (e.g., higher quality or lower volatility).

For instance, a smart beta strategy targeting low-volatility stocks might place greater weight on securities with lower historical price fluctuations, with the aim of reducing volatility relative to the broader index it is based on.

Implementation process

The creation of a smart beta strategy involves three key steps:

1. Defining objectives

Investors begin by clarifying their goals (e.g., boosting returns, reducing risk, or achieving better diversification).

2. Building the index

Using transparent rules, a customised index is constructed to focus on the chosen factors and weighting methods.

3. Passive execution

The portfolio passively follows the index, combining the cost-efficiency of passive investing with the strategic enhancements of factor-driven methodologies.

This structured and transparent process offers investors a systematic way to personalise their portfolios without the over-concentration risks of traditional index funds.

Benefits of smart beta investing

Smart beta investing provides unique benefits that go beyond traditional investing approaches. Here are the main ones:

Improved diversification

As mentioned, traditional market-cap-weighted indices often concentrate investments in a few dominant companies. Smart beta strategies counter this by diversifying exposure across multiple factors or weighting methods. For instance, an equal-weighted smart beta portfolio ensures smaller companies aren't overshadowed by larger ones, reducing over-concentration risks.

Potential for improved returns

Smart beta focuses on factors like value, momentum, or quality that have shown periods of outperformance in some studies, but results vary and past performance is not a reliable indicator of future results. For example, a value-focused smart beta fund might emphasise undervalued stocks, taking advantage of their potential to generate higher returns if prices adjust.

Better risk management

Low-volatility smart beta strategies prioritise stocks with smaller price fluctuations, offering an extra layer of stability. Similarly, quality-focused strategies invest in companies with stronger financial characteristics, although performance during downturns still varies.

Cost efficiency

While smart beta strategies typically have slightly higher fees than traditional index funds, they remain more affordable than actively managed funds. This gives investors access to rules-based factor strategies that may cost less than active management, although fees vary by provider and product.

Customisation

Smart beta strategies give investors a way to target specific factor exposures within a portfolio. For example, those prioritising growth might focus on momentum or small-cap factors, while risk-averse investors could choose low-volatility or quality-focused strategies.

Challenges and limitations of smart beta

Smart beta strategies offer a rules-based approach to investing, but they also come with specific challenges and limitations that investors must consider:

Higher costs than traditional indexing

Due to their enhanced methodologies, smart beta ETFs typically involve higher fees than traditional market-cap-weighted index funds. While often less expensive than active management, these additional costs can reduce net returns, especially in lower-return markets.

Factor cyclicality

The success of smart beta depends heavily on the chosen factor's performance during different market cycles. For example, value-focused strategies may underperform during market rallies. Relying on a single factor risks significant underperformance when that factor is out of favour.

Complexity in understanding and implementation

Smart beta requires a deeper understanding of the underlying factors and methodologies than traditional investing. This complexity can make selecting and evaluating a strategy harder without careful research.

Overreliance on historical data

Smart beta strategies are often built using historical performance data. While historical data can inform index design, market conditions don't always repeat. Overfitting a strategy to past trends can result in weaker performance in live market conditions.

Limited availability of specific strategies

Although smart beta has gained popularity, not all strategies are widely available or accessible. Factors like geography, asset class, and the availability of ETFs may restrict options for some investors, making it harder to align their portfolios with specific goals.

How to invest in smart beta strategies

Investing in smart beta strategies can provide targeted factor exposure, but it requires a clear understanding of the process. Here are some steps to get started.

1. Get clear on your investment objectives

Start by clarifying what you aim to achieve. Are you looking for growth, reduced risk, stable income, or better diversification? For instance:

• Growth-focused investors might prioritise momentum or small-cap factors.
• Risk-averse investors could focus on low-volatility or quality strategies.
• Value-seekers may target undervalued stocks using metrics like price-to-book ratios.

Knowing your objectives can help you assess whether the strategy aligns with your goals.

2. Research smart beta funds and ETFs

Examine available smart beta products, comparing their methodologies and performance. Focus on:

• Factor alignment. Check whether the ETF or fund prioritises factors like value, size, or momentum.
• Weighting methodology. Understand how assets are allocated, such as equal weighting or fundamental weighting.
• Fees and costs. Look at management fees and expense ratios because costs reduce net returns.
• Historical performance. Review how the fund performed across different market conditions, while keeping in mind that past performance is not a reliable indicator of future results.

3. Diversify across factors and regions

Smart beta strategies often target specific factors, so combining multiple approaches may help reduce reliance on a single factor. For example, pairing value and momentum strategies may diversify factor exposure across different market cycles. Regional diversification can also be considered through funds focused on international markets, such as Europe or Asia.

4. Review smart beta funds carefully

Smart beta and factor ETFs can target different exposures, such as value, momentum, quality, low volatility, high dividend yield, equal weighting or multi-factor strategies.

Before selecting a fund, review the index methodology, top holdings, geographic exposure, concentration, fees, liquidity and whether the fund is available in your market. Product names, tickers, eligibility and costs can change, so fund details should be checked against the provider’s latest documents before investing.

5. Integrate and monitor your portfolio

Smart beta funds can be incorporated alongside traditional index or actively managed investments, depending on objectives and risk tolerance. Investors may review their allocations and rebalance to maintain desired exposures. For instance, if one factor outperforms and becomes overweight, rebalancing may help restore the intended allocation and reduce concentration risk.

6. Don't neglect costs and liquidity

Smart beta strategies typically have lower fees than active funds but higher costs than traditional index funds. Compare fees with the fund’s methodology and expected role in the portfolio, and review trading volume, bid-ask spreads and fund size when assessing liquidity.

Future trends in smart beta strategies

Smart beta strategies continue to develop as index providers and asset managers test new factor combinations and methodologies. Here are key trends shaping their future:

AI and machine learning in factor selection

Some multi-factor smart beta ETFs already combine factors, and AI or machine-learning techniques may be used in certain strategies to adjust exposures or analyse datasets. Machine-learning models may analyse large datasets to identify factor combinations, but effectiveness depends on data quality, model design and market conditions.

For example, some strategies aim to adjust exposures over time; whether and how this works in practice varies by product and is not guaranteed.

Improved customisation through technology

As technology advances, some providers may offer more personalised portfolio solutions. As a result, some investors may gain access to more custom factor strategies, although availability, suitability, cost and regulation will vary by market. Digital platforms may make factor-based portfolio tools more accessible to retail investors, but implementation and product availability will vary.

Growth of ESG-integrated smart beta

The rise of Environmental, Social, and Governance (ESG) investing is influencing smart beta strategies. Some smart beta ETFs already incorporate ESG criteria into factor selection, while future product development may continue in this area. For instance, some funds may prioritise companies with stronger ESG scores alongside factors such as quality or low volatility.

Smart alpha strategies

Smart alpha builds on the foundation of smart beta by blending factor-based investing with selective active management. While smart beta focuses on systematic, rules-based factor exposure, smart alpha introduces an additional layer of active oversight to capitalise on specific market opportunities.

This approach seeks outperformance while using factor-driven methodologies, but results depend on the manager, process, costs and market conditions. For example, a smart alpha fund might use low-volatility and value factors while allowing a manager to make discretionary adjustments during periods of market disruption. However, whether this improves returns relative to smart beta alone remains uncertain.

Expansion of regional and asset-class applications

Smart beta strategies are also being applied to emerging markets and other asset classes. These developments may give investors access to factor-based exposures in more areas, although diversification benefits and risks vary by product.

Conclusion: Using smart beta strategies in portfolio construction

Smart beta strategies offer a rules-based approach that sits between traditional market-cap indexing and active management.

By using factors such as value, momentum, and low volatility, investors may target specific exposures within a portfolio, whether the aim is to seek returns, manage risk, or improve diversification. However, it's essential to recognise some challenges, such as factor cyclicality, complexity, and costs.