An index strategy that aims for a better risk-return ratio than the traditional market-capitalization weighted index. 'Smart beta' refers to the higher expected index performance, in terms of risk and return.
The smart-beta strategy is an alternative index strategy for investing in a market-cap-weighted index, since the market-cap-weighted approach has a number of constraints for investors. For instance, most of the money flows into stocks with the highest valuation. This means that investments are made counter to the Value factor, which focuses on selecting stocks with a lower valuation.
Just like factor investing, smart beta strives to create an improved risk-return ratio. An important aspect is that smart-beta strategies are not passively, but actively managed. Examples of smart-beta strategies are equally weighted equity strategies or low-volatility strategies.
Although smart-beta factor approaches have proven capable of using factor premiums, there are a number of pitfalls. Taking unrewarded risk is an example, as are taking on higher transaction costs and the negative effects of other factors.
Also read: How Smart is 'Smart Beta' Investing?
This page is intended for US prospects, clients and investors only and includes information about the capabilities, staffing and history of RIAM US and its participating affiliates, which may include information on strategies not yet available in the US. SEC regulations are applicable only to clients, prospects and investors of RIAM US. Robeco BV, Robeco HK and Robeco SH are considered a “participating affiliate” of RIAM US and some of their employees are “associated persons” of RIAM US as per relevant SEC no-action guidance. Employees identified as associated persons of RIAM US perform activities directly or indirectly related to the investment advisory services provided by RIAM US. In those situations, these individuals are deemed to be acting on behalf of IUAM, a US SEC registered investment adviser.By clicking I agree, I confirm that I have read and understood the above.