Back Quantitative

Quant Market in Numbers: Factor and Industry Trends Under Shifting Macro Regimes

Published on January 18, 2023

Download the PDF Report

By

Dennis DeBusschere

Brian Herlihy

Sophia Wang

Kevin Brocks

Inflation looks to be heading in the right direction this year with wage growth remaining in a downtrend (HERE) and consumer-based inflation expectations easing. That increases the odd a recession can be avoided, and the economy moves toward a “normal” backdrop.

This report is in two parts. In the first, we classified stocks as Deep Cyclicals, Early Cyclicals and Defensives by running industry group relative return correlations with ISM PMI since 1990. We also looked at the median return for each group during different macro regimes. Early Cyclicals including Discretionary, Technology and Communications tend move 3 to 12 months ahead of the PMI peaking or troughing and perform the best during “Normal” regimes. Defensives including Staples, Health Care, Utilities, and REITs are less correlated with PMIs and tend to perform best in Transitions and Recessions.

In the second part, we focus on Factors. Based on our Macro Regime Classification Model (details HERE), the odds of growth stabilizing have increased since late last year, but the backdrop is still classified as a “Transition”, a rare period where Low Vol, Value, and Momentum perform best relative to Turbulence, Leverage, and Growth. Historically, a shift from Transition to Normality leads to large negative performance reversals in Low Vol, Realized Value, and Momentum. Factors that benefit most from a firming of Growth are risk-on factors and Earnings Growth.

Table

Description automatically generated

Recession odds are still high though, and more wage growth/employment data is needed to determine if a recession can be avoided. There are two factors, Earnings Growth and Price Failure, that perform well in BOTH Normal and Recession periods. Today, Transportation and Energy are the industry groups most exposed to Earnings Growth while Tech Hardware and Consumer Durables have the lowest exposure.

Interestingly, industry group return correlations relative to Earnings Growth have diverged from their factor exposure. Energy returns have been negatively correlated with Earnings Growth while Tech Hardware is positively correlated. Energy remains a macro driven sector where factor exposures are less predictive of future returns. Groups like Tech Hardware, Retailing, and Software are more likely to follow overall trends in Earnings Growth factor returns.

Macro Backdrop Improving: Inflation looks to be heading in the right direction this year with wage growth remaining in a downtrend (HERE) and consumer-based inflation expectations easing. That increases the odds a recession is avoided and the economy moves toward a “normal” backdrop. That shift has important implications for factor and industry group returns trends.

Chart

Description automatically generated

Sector & Industry Group Classification: As with factors, sector and industry group returns under different economic regimes tend to diverge. We classified stocks as Deep Cyclicals, Early Cyclicals, and Defensives by running industry group relative return correlations with ISM PMI since 1990. We also looked at the median return for each group during different macro regimes to dynamically classify sectors and industry groups. Early Cyclicals including Discretionary, Technology, and Communications tend to move 3 to 12 months ahead of the PMI peaking or troughing and perform the best during “Normal” regimes. Defensives including Staples, Health Care, Utilities, and REITs are less correlated with PMIs and tend to perform best in Transitions and Recessions.

A screenshot of a computer

Description automatically generated with medium confidence

Correlations at the industry group level show similar characteristics as the sector level readings, except Commercial Services which has acted more like an Early Cyclical than its sector classification, Autos which have acted like a Deep Cyclical, and Media which is just less correlated with the cycle. Moving toward a Normal regime, which would imply a firming/increase in PMIs, should benefit Early Cyclical industry groups, especially Retail, and Software, and to a lesser extent Materials and Semis. For Defensives to remain bid, investors need to discount further declines in leading indicators. Under that backdrop, Food and Staples, Pharma, and Utilities should perform best.

Table

Description automatically generated

Factor Correlations & Exposures: The probability of Normality has increased since late last year based on our Macro Regime Classification Model (details HERE), but the backdrop is still classified as a “Transition”, a rare period where Low Vol, Value, and Momentum perform best relative to Turbulence, Leverage, and Growth. Historically, a shift from Transition to Normality leads to large negative performance reversals in Low Vol, Realized Value, and Quality. The factors that benefit most from a firming of Growth are risk-on factors and Earnings Growth.

Table

Description automatically generated

Recession odds are still high though, and more wage growth/employment data is needed to determine if a recession can be avoided. There are two factors, Earnings Growth and Price Failure, that perform well in BOTH Normal and Recession periods. Today, Transportation and Energy are the industry groups most exposed to Earnings Growth while Tech Hardware and Consumer Durables have the lowest exposure.

Chart

Description automatically generated

Interestingly, industry group return correlations relative to Earnings Growth have diverged from their factor exposure. Energy returns have been negatively correlated with Earnings Growth while Tech Hardware is positively correlated. Energy remains a macro-driven sector where factor exposures are less predictive of future returns. Groups like Tech Hardware, Retailing, and Software are more likely to follow overall trends in Earnings Growth factor returns.

A picture containing timeline

Description automatically generated

A similar divergence is taking place within Price Failure as well, with Food & Tobacco and Household Products 1) most exposed Price Failure and 2) their returns negatively correlated with the factor. Consumer Services and Auto are most negatively exposed to Price Failure, and their returns are most positively correlated with Price Failure. As with Energy, Food, Household Products, and Healthcare names appear to be trading off macro forces, while Materials, Semis, Transports, etc. are more likely to follow factor trends.

Chart, scatter chart

Description automatically generated

DISCLOSURES AND DISCLAIMERS

Analyst Certification

The analyst, 22V Research Group, primarily responsible for the preparation of this research report attests to the following: (1) that the views and opinions rendered in this research report reflect his or her personal views about the subject companies or issuers; and (2) that no part of the research analyst’s compensation was, is, or will be directly related to the specific recommendations or views in this research report.

Analyst Certifications and Independence of Research.

Each of the 22V Research analysts whose names appear on the front page of this report hereby certify that all the views expressed in this Report accurately reflect our personal views about any and all of the subject securities or issuers and that no part of our compensation was, is, or will be, directly or indirectly, related to the specific recommendations or views of in this Report.

22V Research (the “Company”) is an independent research provider. The Company is not a member of the FINRA or the SIPC and is not a registered broker dealer or investment adviser. 22V Research has no other regulated or unregulated business activities which conflict with its provision of independent research.

22V Research, LLC is a professional services and independent publication organization. 22V Research, LLC is not a securities broker-dealer, not a member of the Financial Industry Regulatory Authority (FINRA), not a registered investment advisor (RIA) and not a member of SIPC.

Securities transactions, when offered, are offered by 22V Securities, LLC through LPS Capital, LLC. Certain employees of 22V Securities, LLC are dually registered as securities representatives of LPS Capital, LLC or Analyst Hub Securities, LLC. 22V Securities, LPS Capital and Analyst Hub Securities are members FINRA, SIPC.

https://brokercheck.finra.org/

Current Ratings Definition.

SECTOR OUTPERFORM: An “outperform” rating anticipates the company will outperform the S&P Regional Banking Index (peer group).

SECTOR PERFORM: A “market perform” rating anticipates the company will perform in line with the S&P Regional Banking Index (peer group).

SECTOR UNDERPERFORM: An “underperform” rating anticipates the company will underperform the S&P Regional Banking Index (peer group).

Limitation Of Research And Information.

This Report has been prepared for distribution to only qualified institutional or professional clients of 22V Research Group. The contents of this Report represent the views, opinions, and analyses of its authors. The information contained herein does not constitute financial, legal, tax or any other advice. All third-party data presented herein were obtained from publicly available sources which are believed to be reliable; however, the Company makes no warranty, express or implied, concerning the accuracy or completeness of such information. In no event shall the Company be responsible or liable for the correctness of, or update to, any such material or for any damage or lost opportunities resulting from use of this data. Nothing contained in this Report or any distribution by the Company should be construed as any offer to sell, or any solicitation of an offer to buy, any security or investment. Any research or other material received should not be construed as individualized investment advice. Investment decisions should be made as part of an overall portfolio strategy and you should consult with a professional financial advisor, legal and tax advisor prior to making any investment decision. 22V Research Group shall not be liable for any direct or indirect, incidental or consequential loss or damage (including loss of profits, revenue or goodwill) arising from any investment decisions based on information or research obtained from 22V Research Group.

Reproduction And Distribution Strictly Prohibited.

No user of this Report may reproduce, modify, copy, distribute, sell, resell, transmit, transfer, license, assign or publish the Report itself or any information contained therein. Notwithstanding the foregoing, clients with access to working models are permitted to alter or modify the information contained therein, provided that it is solely for such client’s own use. This Report is not intended to be available or distributed for any purpose that would be deemed unlawful or otherwise prohibited by any local, state, national or international laws or regulations or would otherwise subject the Company to registration or regulation of any kind within such jurisdiction.

Copyrights, Trademarks, Intellectual Property.

22V Research Group, and any logos or marks included in this Report are proprietary materials. The use of such terms and logos and marks without the express written consent of 22V Research Group is strictly prohibited. The copyright in the pages or in the screens of the Report, and in the information and material therein, is proprietary material owned by 22V Research Group unless otherwise indicated. The unauthorized use of any material on this Report may violate numerous statutes, regulations and laws, including, but not limited to, copyright, trademark, trade secret or patent laws.