united kingdomen
The quant cycle

The quant cycle

19-10-2021 | Research
Equity factors follow their own sentiment-driven cycle that cannot be explained by traditional business cycle indicators. This implies that factor premiums are a behavioral phenomenon, rather than a reward for macroeconomic risks.
  • David Blitz
    David
    Blitz
    Chief Researcher

Speed read

  • Business cycle indicators don’t really capture the cyclical variation in equity factor returns 
  • Equity factors follow their own behavioral cycle: the quant cycle 
  • The quant cycle can help investors formulate a multi-year outlook 

Factors in asset pricing models exhibit cyclical behavior as they offer a premium in the long run while going through bull and bear phases in the short run. In our research, we investigated the possible explanation to these cyclical dynamics, focusing mainly on value, quality, momentum and low-risk factors and an equally-weighted multi-factor portfolio.

From a rational asset-pricing perspective, factor premiums are seen as risk premiums, reflecting rewards for certain macroeconomic risks. This would imply that factor performance is related to the business cycle. But many studies have failed to establish a robust empirical link between the two.1  Indeed, results from our study also illustrated the tenuous nature of this relationship. 

Stay informed on Quant investing with monthly mail updates
Stay informed on Quant investing with monthly mail updates
Subscribe

Business cycle indicators can’t fully explain the cyclicality in factor returns

In general, what we found was that the multi-factor portfolio had similar returns in contrasting macroeconomic conditions, i.e. expansions versus recessions; inflationary versus non-inflationary; and high ISM purchasing managers’ index (PMI) versus low ISM PMI. 

The outcome varied slightly from a single-factor perspective. For example, we observed what we would characterize as strong returns from the momentum factor during inflationary periods, while the low-risk factor struggled, consistent with its known ‘bond-like’ properties.Meanwhile, the value and quality factors appeared largely immune to both inflationary and non-inflationary conditions. 

We also took into account the Baker and Wurgler investor sentiment index, a popular sentiment indicator in academic literature.3  We established that the returns for the value, quality and low-risk factors were strong when investor sentiment was positive, and weak when investor sentiment was negative. Only the momentum factor appeared to be resilient to the various sentiment states. 

Perhaps  the difficulty in establishing a relationship between macroeconomic risks and factor premiums lies in the flawed notion that factor premiums are risk premiums. If the source of factor premiums is indeed behavioral, then this would explain why the Baker and Wurgler sentiment index appears to be more effective at distinguishing between high and low factor returns. However, even this indicator is only able to pick up a small portion of the much larger time variation in factor returns. 

In our view, the cyclicality in factor returns is driven by sentiment which can best be inferred directly from factor returns. In other words, our premise is that factors essentially follow their own behavioral cycle, and although other macroeconomic and behavioral indicators may pick up some of these dynamics, the full picture can only be uncovered by studying factors themselves.

Mapping out the quant cycle

In our study, we determined the quant cycle by qualitatively identifying peaks and troughs that correspond to bull and bear markets in factor returns. Following this approach, we identified a cycle consisting of a normal stage, which prevails about two-thirds of the time, punctuated with occasional large value drawdowns, which tend to be followed by subsequent reversals. 

We found that the value drawdowns were caused either by growth rallies or value crashes that occurred roughly once every ten years, typically lasting about two years. These were usually followed by sharp reversals, which were characterized either by a crash of the growth stocks that outperformed strongly in the previous stage, or a strong recovery rally in the stocks that underperformed in the preceding phase. Our historical definition of the quant cycle is depicted in Figure 1. 

Figure 1 | The quant cycle, 1963 to 2020

Source: Robeco Quantitative Research

Breaking down the different stages

During the normal stage, we observed that all factors delivered solid positive average returns, typically above their long-term average premiums. Luckily for multi-factor investors, this stage prevailed about two-thirds of the time. However, the relative peace and quiet of the normal period was disturbed by events that unfolded during the remaining one-third.

We witnessed that the growth rallies were characterized by large negative returns for value and large positive returns for momentum. This clearly illustrates how the two factors typically diversify so well with each other during these extreme phases. Low-risk typically took a hit and quality usually performed well in this phase, although not in every instance for both factors. Altogether, the multi-factor approach delivered a roughly flat return on average during growth rallies.

Our sample period only contained one value crash, namely the 2007-2009 global financial crisis. We saw that the factor performance was remarkably similar to the one observed in growth rallies, with negative returns for value and low-risk and positive returns for momentum. Based on this single observation, quality seemingly fared better during value crashes. This resulted in a small positive return for the multi-factor portfolio. 

We also picked up two types of reversals: bear and bull. Bear reversals were distinguished by large positive returns for value due to a growth crash. They also tended to be highly favorable for quality, momentum and low-risk. Given that all the factors tended to be effective during these periods, we noticed that the multi-factor mix also delivered strong returns. 

By contrast, bull reversals were characterized by large negative returns for momentum due to a rally in stocks with poor momentum. There were also large negative returns for quality and mixed results for value and low-risk. From a multi-factor perspective, we saw that bull reversals presented much tougher challenges than bear reversals. 

Using the quant cycle as a framework

Thus, we conclude that investors should focus their efforts on better understanding the quant cycle as implied by the factors, rather than adhering to traditional frameworks. We believe this can helpful in contextualizing the cyclical dynamics of factors. It can provide investors with the basis to formulate a multi-year outlook, by providing insight on how the quant cycle could potentially unfold based on the prevalent market environment. The model can also give them a frame of reference to examine the robustness of new alpha factors across the various stages of the cycle.

1See: Ilmanen, A., Israel, R., Lee, R., Moskowitz, T. J., and Thapar, A., February 2021. “How do factor premia vary over time? A century of evidence.”, Journal of Investment Management (forthcoming).
2See: Blitz, D., September 2020, “The risk-free asset implied by the market: medium-term bonds instead of short-term bills.”, Journal of Portfolio Management 46 (8): 120-132.
3See: Baker, M. and Wurgler, J., August 2006, “Investor sentiment and the cross-section of stock returns.”, Journal of Finance 61 (4): 1645-1680.

Logo

Disclaimer

Please read this important information before proceeding further. It contains legal and regulatory notices relevant to the information contained on this website.

The information contained in the Website is NOT FOR RETAIL CLIENTS - The information contained in the Website is solely intended for professional investors, defined as investors which (1) qualify as professional clients within the meaning of the Markets in Financial Instruments Directive (MiFID), (2) have requested to be treated as professional clients within the meaning of the MiFID or (3) are authorized to receive such information under any other applicable laws. The value of the investments may fluctuate. Past performance is no guarantee of future results. Investors may not get back the amount originally invested. Neither Robeco Institutional Asset Management B.V. nor any of its affiliates guarantees the performance or the future returns of any investments. If the currency in which the past performance is displayed differs from the currency of the country in which you reside, then you should be aware that due to exchange rate fluctuations the performance shown may increase or decrease if converted into your local currency.

In the UK, Robeco Institutional Asset Management B.V. (“ROBECO”) only markets its funds to institutional clients and professional investors. Private investors seeking information about ROBECO should visit our corporate website www.robeco.com or contact their financial adviser. ROBECO will not be liable for any damages or losses suffered by private investors accessing these areas.

In the UK, ROBECO Funds has marketing approval for the funds listed on this website, all of which are UCITS funds. ROBECO is authorized by the AFM and subject to limited regulation by the Financial Conduct Authority. Details about the extent of our regulation by the Financial Conduct Authority are available from us on request.

Many of the protections provided by the United Kingdom regulatory framework may not apply to investments in ROBECO Funds, including access to the Financial Services Compensation Scheme and the Financial Ombudsman Service. No representation, warranty or undertaking is given as to the accuracy or completeness of the information on this website.

If you are not an institutional client or professional investor you should therefore not proceed. By proceeding please note that we will be treating you as a professional client for regulatory purposes and you agree to be bound by our terms and conditions.

If you do not accept these terms and conditions, as well as the terms of use of the website, please do not continue to use or access any pages on this website.

I Disagree