Lazard Asset Management Factor Report DEC 7 Investor optimism persisted in November as global equity markets extended their string of consecutive positive months. Most indices reached all-time record highs as favorable economic news and strong corporate earnings provided a solid catalyst to the markets. Energy prices continued to recover, reaching year-to-date highs during the month. Japan led the major developed markets as an increase in global demand benefited exporters. This, coupled with the promise of Bank of Japan Governor Haruhiko Kuroda to maintain a relaxed monetary policy until inflation grew to %, led to a monthly gain of.%. The US equity market continued to rally spiking at month end as the likelihood of a significant corporate tax cut seemed promising. European markets were generally mixed as political tensions simmered throughout the continent. Chancellor Angela Merkel s failure to form a coalition government and unexpected high inflation rates led to a modest loss for German equities. Spain also struggled with the Catalonia independence vote as Madrid attempted to defuse the separatist crisis. In the meantime, the United Kingdom appeared to be making progress on their financial settlement with the European Union leading to a negotiation of trading terms post Brexit. The US dollar retreated in November, especially when measured against the yen and euro, falling over.5% against both currencies. Emerging markets were broadly flat, masking large disparities among local markets as many reversed direction. The consumer staples and discretionary sectors were two of the strongest in November. Information technology stocks sold off at month end and, along with materials, making them the two weakest sectors in November. Both sectors still produced positive returns for the month. Factor performance varied across regions. Valuation metrics in particular showed marked differences as cyclical measures (Price to Book) worked well in Europe, but detracted elsewhere, particularly in emerging markets. Market sentiment measures also worked well in most areas, with the exception of the United States. factors worked well in emerging markets, but lagged in developed markets. Risk factors were broadly out of favor as lower beta and less volatile stocks generally outperformed. Quality was a positive factor in most markets whereas companies with higher growth lagged in November. Factor Returns¹ (%) Year Value - - - P/B P/E (trailing) Yield P/B P/E (trailing) Yield Year - - - Hist EPS Proj EPS Hist Sales Hist EPS Proj EPS Hist Sales Global Developed United States Europe Japan Emerging Markets As of November 7 RD65
Year Sentiment - Price Momentum MO Analyst Price Momentum MO Analyst - Year Quality - - Operating Margin ROE Leverage Operating Margin ROE Leverage Year Risk - - - - Beta Volatility Size Beta Volatility Size Global Developed United States Europe Japan Emerging Markets Global Market Returns (%)² Month Year 5 Years Global. 6.7 5..78 Large Cap.96 6.7 5.4.55 Small Cap.5 7.46 4.77.98 Emerging Markets.7..9 5.56 United States.7 7.65.87 5.74 As of November 7
Global Developed Factor Returns (%)¹ Month Year 5 Years Value P/B -. -.47.5.6 P/E (trailing).9.6.5.56 Yield -.5 -.94.6. Hist. EPS.7.57.4.7 Proj. EPS -.5.7.49. Hist. Sales -.9 -.46.4 -.7 Sentiment Price Momentum.7..5.5 MO Analyst Up/Down.7.7.5.4 Quality Operating Margin.9 -.. -.5 ROE.46 -..69.8 Leverage.56... Risk Beta -.89.78 -.5.4 Volatility.9. -. -.8 Size -.8 -.8 -.9 -.4 US Factor Returns (%)¹ Month Year 5 Years Value P/B -.5.86 -.78 -. P/E (trailing)..8.7.6 Yield.8 -.57 -.6 -.6 Hist. EPS.88.6.4.7 Proj. EPS -.68.5.7 -. Hist. Sales -.5 -.74.9 -.9 Sentiment Price Momentum -.4.75.5.7 MO Analyst Up/Down -.4 -..46.9 Quality Operating Margin.59.. -. ROE..5.8.9 Leverage.57.49.6. Risk Beta -..59..9 Volatility -..6 -.7 -.8 Size -.8 -.. -.5 Europe Markets Factor Returns (%)¹ Month Year 5 Years Value P/B.4.68.5. P/E (trailing).9.57..87 Yield.7.9.4. Hist. EPS -.65 -.7.7.4 Proj. EPS -.9.9..6 Hist. Sales -. -.5.8 -. Sentiment Price Momentum.44..68.9 MO Analyst Up/Down.8.5.57.44 Quality Operating Margin.5...4 ROE..4.44.4 Leverage -.4 -.58 -.6.6 Risk Beta -...6 -.6 Volatility -4. -.6 -.7. Size.59.4 -. -.55 As of November 7
4 Japan Factor Returns (%)¹ Month Year 5 Years Value P/B -.5.74 -.8.7 P/E (trailing)..7.5.9 Yield.8.5.8.47 Hist. EPS.88.6.6. Proj. EPS -.68..6. Hist. Sales -.5 -.95 -. -.7 Sentiment Price Momentum -.4.57.54 -.4 MO Analyst Up/Down -.4 -. -.8 -.45 Quality Operating Margin.59. -.57 -. ROE..85.87. Leverage.57 -..77.9 Risk Beta -..4..88 Volatility -...8.9 Size -.8. -.9 -.46 Emerging Markets Factor Returns (%)¹ Month Year 5 Years Value P/B -.4 -.57 -..9 P/E (trailing). -..4.64 Yield -.5 -.49.5.67 Hist. EPS.4.57.5.4 Proj. EPS -.4... Hist. Sales.97.9.8 -.6 Sentiment Price Momentum.98.44.9.5 MO Analyst Up/Down.84.7.6.8 Quality Operating Margin.8.8 -..4 ROE.5.8.79.48 Leverage.78.45 -.4.5 Risk Beta -.48.7..5 Volatility -.5.7. -.7 Size.6 -.77.9 -. As of November 7
Lazard Asset Management Notes Factor performance is based on a universe of developed market and emerging market stocks with a market capitalization of $mm or greater (approximately 6, companies). Factor returns reflect the return differential, computed monthly, for an equal weighted composite of stocks ranked in the top and bottom % (quintile) for each measure shown. For example, each month the aggregate return for stocks ranking in the top % in terms of operating margins is subtracted from the aggregate return for stocks ranking in the bottom %. The difference is the return displayed. The monthly differences are averaged for longer time periods. The calculation for P/B, P/E and leverage reflect the performance difference between the lowest quintile less the highest quintile. For all other measures, the difference reflects the difference between the highest quintile less the lowest quintile. P/B is calculated as current market price divided by book value. P/E is calculated as current market price divided year trailing earnings. Yield is calculated as most recent dividend by current market price. Historic EPS is calculated as a 5 year trailing earnings per share growth. Projected EPS growth is calculated as IBES analyst forecasted -5 year growth in earnings per share. Historic Sales is calculated on a 5 year trailing growth in sales revenue. Price momentum is calculated as the month change in USD price. MO Analyst Up/Down is calculated as the change in the average EPS estimate over the past three months. Operating margin is calculated as net operating income divided by total revenue. ROE is calculated as the net income divided by shareholder s equity. Leverage is calculated as outstanding debt divided by shareholder s equity. Beta is calculated against local market indices for periods up to 6 months. Volatility is calculated on a trailing 7 day average of USD based price returns. Size is market capitalization as calculated according to MSCI. Market return data is as of November 7 and is based on the following indices: Global S&P Global BMI; Large Cap S&P Global LargeMidCap; Small Cap S&P Global SmallCap; Emerging Markets S&P Emerging BMI; US S&P 5 Important Information Published on December 7. This document reflects the views of Lazard Asset Management LLC or its affiliates ( Lazard ) based upon information believed to be reliable as of the publication date. There is no guarantee that any forecast or opinion will be realized. This document is provided by Lazard Asset Management LLC or its affiliates ( Lazard ) for informational purposes only. Nothing herein constitutes investment advice or a recommendation relating to any security, commodity, derivative, investment management service or investment product. Investments in securities, derivatives and commodities involve risk, will fluctuate in price, and may result in losses. Certain assets held in Lazard s investment portfolios, in particular alternative investment portfolios, can involve high degrees of risk and volatility when compared to other assets. Similarly, certain assets held in Lazard s investment portfolios may trade in less liquid or efficient markets, which can affect investment performance. Past performance does not guarantee future results. The views expressed herein are subject to change, and may differ from the views of other Lazard investment professionals. This document is intended only for persons residing in jurisdictions where its distribution or availability is consistent with local laws and Lazard s local regulatory authorizations. Please visit www.lazardassetmanagement.com/globaldisclosure for the specific Lazard entities that have issued this document and the scope of their authorized activities. Equity securities will fluctuate in price; the value of your investment will thus fluctuate, and this may result in a loss. Securities in certain non-domestic countries may be less liquid, more volatile, and less subject to governmental supervision than in one s home market. The values of these securities may be affected by changes in currency rates, application of a country s specific tax laws, changes in government administration, and economic and monetary policy. Small- and mid-capitalization stocks may be subject to higher degrees of risk, their earnings may be less predictable, their prices more volatile, and their liquidity less than that of large-capitalization or more established companies securities. Emerging market securities carry special risks, such as less developed or less efficient trading markets, a lack of company information, and differing auditing and legal standards. The securities markets of emerging market countries can be extremely volatile; performance can also be influenced by political, social, and economic factors affecting companies in emerging market countries. Certain information included herein is derived by Lazard in part from an MSCI index or indices (the Index Data ). However, MSCI has not reviewed this product or report, and does not endorse or express any opinion regarding this product or report or any analysis or other information contained herein or the author or source of any such information or analysis. MSCI makes no express or implied warranties or representations and shall have no liability whatsoever with respect to any Index Data or data derived therefrom. The MSCI Index Data may not be further redistributed or used as a basis for other indices or any securities or financial products. A quantitative investment strategy relies on quantitative models and quantitative filters, which, if incorrect, may adversely affect performance.