Goldman Sachs Research
China Strategy
Finding the next multibaggers in China: When "Little" becomes "Giant"

Every new cycle has new winners

A buy-and-hold, beta-focused strategy in the equity market hasn't been an effective way to monetize China's impressive economic growth: In the past decade, during which nominal GDP averaged 9% per annum, MSCI China/SHCOMP merely returned 0%/3% CAGR vs. 10% by SPX. That said, picking the right themes/sectors in the right cycle has proven to be highly rewarding, as exemplified by the outsized alpha from Commodity Cyclicals in the early 2000s, Financials in the late 2000s, and Consumer/TMT stocks in the past decade.

The recipe for multibaggers in Chinese equities

We examine 134 cases where individual names in the existing MSCI China universe returned at least 10x within a rolling 5-year period over the past 2 decades and note these common traits: 1) high realized growth rates; 2) strong small/mid-cap bias; 3) favorable sector beta; 4) inexpensive starting valuations; and, 5) alignment with top-down policy goals/directions. These five factors have collectively explained almost 100% of the occurrence of these historical multibaggers.

All stars are aligned: Growing with Chinese "Little Giants"

Chinese "Little Giants" check many of the above boxes: They are emerging companies handpicked by the authorities for explicit policy support. Sectorally, they mostly reside in Cap Goods, (new) Materials, Tech Hardware, and Semi, which are critical to Chinese national security, growth sustainability, and achieving "Common Prosperity". In terms of market attributes, they are growthy small/mid caps trading at historical-low and below-market valuations (PEG).

Introducing GS "Little Giants" Portfolio (GSSRCNLG)

Among the +700 listed "Little Giants", we screen for 40 names with favorable rankings in R&D intensity, management incentive plans, sell-side coverage, and attractive growth/valuation profiles to gain targeted exposure to this compelling story. They have an average market cap/ADT of US$4.5bn/US$61mn, trade at 25x fP/E and 0.8x fPEG, and offer 36% 22-24E EPS CAGR. Our back-test shows that the basket has risen 115% since 2020, outperforming MXCN/CSI300 by 146pp/123pp.

Every new cycle has new winners

  • China's economic achievements have been impressive since Deng Xiaoping introduced "reform and openness/socialist market economy" in 1978 and made his famous "Southern Tour" in 1992: China has delivered a GDP CAGR of 14% since 1990, become the second largest economy in the world (also 2nd largest in terms of market value for equities and bonds globally), managed to grow its per capita income to US$12,588 as of 2021 (US$19,170 in PPP terms), and has the largest asset class in the world in its US$60tn residential housing market.

  • While the aggregate market cap of Chinese stocks (A shares and Offshore listed combined) has also increased 17x since 2000, the realized equity returns at the headline index level have significantly lagged the strong economic performance: MSCI China, HSCEI, SHCOMP have only gained 0%, -6%, and 3% CAGR in USD terms (-2% to 6% adding dividends) over the past 10 years during which GDP growth was averaging 9% per annum. The realized market returns have also trailed those from major equity markets globally, with SPX, SXXP, TOPIX, and Emerging Markets (MXEF) generating 14%, 6%, 6% and 2% total returns during the same period despite slower macro growth in their respective home markets.

  • In our recent Global Strategy Paper--The Asian Earnings Enigma--we discussed some potential explanations for the disparity between equity gains and economic growth in China, notably index composition shifts, shares dilution, and compressing profitability due to various macro and sector specific reasons. At a higher level, the issues around regulation tightening targeting the New Economy, the increasing policy/socioeconomic pivot towards socialism and "Common Prosperity" vs. pure market-driven capitalism, and other structural growth headwinds such as a slowing property market, high systemwide leverage, and aging population are also possible reasons for the lackluster equity returns.

  • While a simple buy-and-hold, beta-oriented strategy in the stock market may not be the most efficient way to monetize the strong economic growth (potential) in China, picking the right themes and sectors in the right cycle has proven to be highly rewarding, as evidenced by the significant realized alpha from Commodity Cyclicals in the early 2000s, Financials in the late 2000s, and Consumer/TMT stocks over the past decade. Dividing the past 2 decades into 4 equal periods based on China's 5-Year Plans, we note that the best-3 performing Industry Groups (GICS level 2) on average gained 275% in each of the 4 cycles, outpacing the worst-3 performing sectors by 311pp and the benchmark by 218pp. In our view, this underscores the importance of embracing active investing (or dynamic tilt for passive investing) in China and proactively shifting investment focuses as the economic and political cycles evolve.

Exhibit 1: China equity indexes have significantly lagged their global peers in the past decade

1. China equity indexes have significantly lagged their global peers in the past decade. Data available on request.
Source: MSCI, FactSet, Goldman Sachs Global Investment Research

Exhibit 2: Strong fundamental growth hasn't translated into equity gains for Offshore-listed equities...

2. Strong fundamental growth hasn't translated into equity gains for Offshore-listed equities.... Data available on request.
Source: MSCI, FactSet, Goldman Sachs Global Investment Research

Exhibit 3: ...as well as for A shares

3. ...as well as for A shares. Data available on request.
Source: FactSet, Goldman Sachs Global Investment Research

Exhibit 4: Significant sector composition shifts in the benchmark equity index over the past 2 decades

4. Significant sector composition shifts in the benchmark equity index over the past 2 decades. Data available on request.
Source: MSCI, FactSet, Goldman Sachs Global Investment Research

Exhibit 5: Significant rotation and return disparity across sectors over the past 20 years

5. Significant rotation and return disparity across sectors over the past 20 years. Data available on request.
pricing as of Oct 3
Source: MSCI, FactSet, Goldman Sachs Global Investment Research

The recipe for multibaggers in Chinese equities

Given the highly concentrated and dynamic nature of alpha distribution in China historically, we examine the success cases in the stock market over a long run to better understand the necessary conditions for generating excess returns, especially at a time when the challenging global macro backdrop characterized by a worsening growth/inflation trade-off, tightening policy, and elevated geopolitical tensions is weighing on risk assets.
Specifically, we construct a study universe encompassing 134 names that were able to generate at least 10x total returns within a 5-year rolling period (monthly) since 2000 based on the current MSCI China index constituents (721 stocks). On average, it took 47 months for these names to reach the 10x threshold, achieving a total return of 1900% when they hit the peak price levels during their respective 5-year (or shorter) outperfomance windows. In a nutshell, we observe the following common features among those multibagger stocks:
  1. High realized growth rates: 75% of the multibaggers managed to generate at least 40% revenue or profit growth during their outperformance periods. This reinforces the core investing principle that earnings growth is the fundamental driver of equity returns, and our belief that international investors have a structural preference for Growth over Value in China (and in other developing markets more broadly) when growth opportunities become increasingly scarce across the globe.

  2. Strong small/mid-cap bias: Low base effect in most cases should be a favorable condition for stock returns as far as market cap size and profit pool is concerned as it simply implies larger headroom for growth, ceteris paribus. Additionally, the policy emphasis of supporting SMEs in the real economy and capital markets, and the regulatory restrictions regarding anti-trust and monopolistic behaviors should theoretically bode well for small/mid caps over time. However, Size is far from a sufficient condition for strong realized alpha empirically, with less than half of the stocks in the universe embarking on their uptrend with an initial market cap below US$500mn.

  3. Favorable sector beta: As detailed in the 5th edition of our China A Primer, China is probably one of the best markets globally to trade/look for idiosyncratic alpha and inefficiency arbitrage opportunities, reflected by its high intra-market return disparity at both the sector and stock levels, a retail-dominated liquidity setup, and still-limited/developing sell-side research footprint. The potential excess returns from an active sector strategy approach could be significant as our previous analysis shows that picking the "average" stocks (i.e. stocks with median returns) in the "right" sectors (Industry Groups with top-quartile returns) would generate 25/34 pp annual alpha over "outperforming" stocks (stock with top-quartile returns) in the "underperforming" sectors (Industry Groups with bottom-quartile returns) in the offshore/A-share market. Our study reveals that 66% of the multibagger cases took place when their corresponding sectors outperformed in the rolling 5-year (or shorter) periods.

  4. Inexpensive starting valuations: We note that 40% of the companies in our study universe traded below 10x PE or 1x P/B before they eventually became multibaggers. That said, the explanatory power of "low valuation" seems highly linked to the market valuation cycles as 43% of the multibaggers took off when the market was under significant stress, notably 2002-03, 2008-09, and 2015-16. It suggests to us that valuation level might not be a sufficient condition to call a market bottom nor a reason to derail a bull trend, but it does play an important role in framing risk and reward, and driving excess returns in the long run.

  5. Policy tailwinds: It is widely accepted/embraced by investors that it is critical to align their portfolio with strategic policy goals and directions in China, especially considering the regulatory shocks since late 2020 which have been mainly responsible for the US$2tn erosion of market capitalization in the TMT sector since then. As such, we leverage our news-searching tools with a specific focus on articles from State-sponsored media outlets (e.g. Xinhua News, People's Daily, and China Daily, 2mn in total since 2005) to gauge the cyclical policy orientation at the sector level over time. By mapping the relative strength of policy support per our key-words analysis onto historical sector returns, we observe that the Policy factor has coincided with 75% of the occurrence of multibagger cases since 2005.

While other (unobservable) factors might also be contributors to the strong returns, the above five considerations have indeed collectively explained almost 100% (133 out of 134 cases) of the occurrence of historical multibagger stocks, with those satisfying multiple conditions generally delivering higher absolute returns/alpha. Among them, Size and Valuations have appeared to be less influential while Growth, Policy, and Sector have been comparatively more dominant factors for the creation of multibaggers.

Exhibit 6: A very concentrated alpha distribution in Chinese euqities

6. A very concentrated alpha distribution in Chinese euqities . Data available on request.
Source: MSCI, FactSet, Goldman Sachs Global Investment Research

Exhibit 7: China is still the place to look for organic Growth opportunities

7. China is still the place to look for organic Growth opportunities. Data available on request.
Source: MSCI, FactSet, Goldman Sachs Global Investment Research

Exhibit 8: "High growth" is a common feature of multibaggers

8. "High growth" is a common feature of multibaggers. Data available on request.
Source: MSCI, FactSet, Goldman Sachs Global Investment Research

Exhibit 9: Favorable base effect matters for ensuing returns as far as Size is concerned

9. Favorable base effect matters for ensuing returns as far as Size is concerned. Data available on request.
Source: MSCI, FactSet, Goldman Sachs Global Investment Research

Exhibit 10: Small/mid caps have outperformed large caps in the past 15 years, but with significant ups and downs

10. Small/mid caps have outperformed large caps in the past 15 years, but with significant ups and downs. Data available on request.
Source: MSCI, CSI, FactSet, Goldman Sachs Global Investment Research

Exhibit 11: Historical multibaggers have been concentrated in Materials, Cap Goods, and F&B

11. Historical multibaggers have been concentrated in Materials, Cap Goods, and F&B. Data available on request.
Source: MSCI, FactSet, Goldman Sachs Global Investment Research

Exhibit 12: Median stocks in top-quartile Industry Groups have performed significantly better than top-quartile stocks in bottom-quartile Industry Groups

12. Median stocks in top-quartile Industry Groups have performed significantly better than top-quartile stocks in bottom-quartile Industry Groups. Data available on request.
Source: MSCI, FactSet, Goldman Sachs Global Investment Research

Exhibit 13: The occurence of multibaggers is negatively correlated with prevailing stock valuations

13. The occurence of multibaggers is negatively correlated with prevailing stock valuations. Data available on request.
Source: MSCI, FactSet, Goldman Sachs Global Investment Research

Exhibit 14: Low prevailing market valuations appear a necessary condition for multibaggers

14. Low prevailing market valuations appear a necessary condition for multibaggers. Data available on request.
Source: MSCI, FactSet, Goldman Sachs Global Investment Research

Exhibit 15: Industry groups with more positive policy mentions from official news tend to outperform those with fewer mentions

15. Industry groups with more positive policy mentions from official news tend to outperform those with fewer mentions. Data available on request.
Source: Factiva, MSCI, FactSet, Goldman Sachs Global Investment Research

Exhibit 16: Our policy support heatmap based on news-searching technique

16. Our policy support heatmap based on news-searching technique. Data available on request.
Source: Factiva, MSCI, FactSet, Goldman Sachs Global Investment Research

Exhibit 17: The five key common denominators of historical multibaggers in the Chinese equity universe

17. The five key common denominators of historical multibaggers in the Chinese equity universe. Data available on request.
Source: MSCI, FactSet, Goldman Sachs Global Investment Research

Exhibit 18: The 5 conditions have collectively explained the occurence of almost all 134 multibaggers in China in the past 20 years

18. The 5 conditions have collectively explained the occurence of almost all 134 multibaggers in China in the past 20 years. Data available on request.
Source: MSCI, FactSet, Goldman Sachs Global Investment Research

Exhibit 19: 134 names in the existing MSCI China universe had returned more than 10x within 5-year rolling periods over the past 20 years

19. 134 names in the existing MSCI China universe had returned more than 10x within 5-year rolling periods over the past 20 years. Data available on request.
Source: MSCI, FactSet, Goldman Sachs Global Investment Research

All stars are aligned: Growing with Chinese "Little Giants"

What are Chinese "Little Giants"? Since 2018, the Ministry of Industry and Information Technology (MIIT) has selected more than 1mn SMEs and/or emerging companies concentrated in the Technology and Industrial sectors as strategic development focuses by 2025. Later on, the chosen companies were further categorized into four main tiers--Innovative SMEs, SRDI (Specialized, Refined, Differentiated, Innovative) SMEs, "Little Giants" and Niche Market Leaders--depending on their size, industry positioning, business maturity, and technological competitiveness. Among the four groups, the "Little Giants" cohort seems to have received the most attention from the authorities from both the media propaganda and actual policy implementation (e.g. specific measures at the Central and Provincial government levels) standpoints. Out of the full "Little Giants" universe with a total 9119 companies as of August 2022, 703 of them (or their parent companies/main subsidiaries) are listed in A shares based on the mapping from WIND, mostly hosted by the ChiNext and STAR boards.
Top down, listed "Little Giants" check many boxes that define the successful formula of historical multibaggers:
  • From a policy alignment perspective, they are handpicked by the Chinese authorities for explicit and comprehensive policy support, spanning administrative measures, easier access to capital markets, to tax incentives and direct subsidies.

  • Sectorally, the listed "Little Giants" mainly reside in Cap Goods, (new) Materials, Tech Hardware, and Semi, all of which are critical to Chinese national security, growth sustainability, and supply chain stability, in our view.

  • Thematically, they are well synced with, and are essential building blocs to, the "Common Prosperity" vision considering their sector exposures/composition according to our "Common Prosperity" framework.

  • In terms of market attributes, the listed "Little Giants" carry a strong small/mid-cap flavor in the context of A shares, averaging Rmb7.6bn/US$1.1bn of listed market cap, but with a reasonably strong liquidity profile of US$16mn of ADT.

  • Fundamentally, they realized 22% top-line and 21% of bottom-line growth in the past 2 years on a median basis, and are expected by Wind consensus to generate 35% EPS CAGR in the next 2 (2022-2024E) years vs. 21% by CSI300. Their historical profit growth track record may not appear as strong as their STAR and ChiNext peers, but they have similar profitability, ROE, and R&D statistics. They on average trade over 21x fP/E on Wind consensus earnings (15x for CSI300), but look attractively priced when their growth potential is taken into consideration, boasting a PEG ratio of merely 0.6x.

Exhibit 20: "Little Giants" are handpicked by Chinese authorities for policy support, and appear strategically important to China in terms of its growth sustainability and national security

20. "Little Giants" are handpicked by Chinese authorities for policy support, and appear strategically important to China in terms of its growth sustainability and national security. Data available on request.
Source: Wind, MoF, STA, MIIT, Data compiled by Goldman Sachs Global Investment Research

Exhibit 21: Case studies: Policy support to Little Giants in Zhejiang and Guangdong

21. Case studies: Policy support to Little Giants in Zhejiang and Guangdong. Data available on request.
Source: Goverment websites, Data compiled by Goldman Sachs Global Investment Research

Exhibit 22: Media/policy emphasis on SRDI SMEs, notably "Little Giants", has been on a rise

22. Media/policy emphasis on SRDI SMEs, notably "Little Giants", has been on a rise. Data available on request.

Exhibit 23: Many "Little Giants" are listed on ChiNext, followed by the STAR Board

23. Many "Little Giants" are listed on ChiNext, followed by the STAR Board. Data available on request.
Source: Wind, FactSet, Goldman Sachs Global Investment Research

Exhibit 24: Sectorally, "Little Giants" are mainly concentrated in (New) Materials, Cap Goods, Hardware Tech, and Semi

24. Sectorally, "Little Giants" are mainly concentrated in (New) Materials, Cap Goods, Hardware Tech, and Semi. Data available on request.
Source: Wind, FactSet, Goldman Sachs Global Investment Research

Exhibit 25: Many "Little Giants" are small/mid caps and have relativley thin liquidity at the tail end

25. Many "Little Giants" are small/mid caps and have relativley thin liquidity at the tail end. Data available on request.
Source: Wind, FactSet, Goldman Sachs Global Investment Research

Exhibit 26: "Little Giants" are expected by WIND consensus to deliver similar profit growth as their ChiNext and STAR peers in the next 2 years

26. "Little Giants" are expected by WIND consensus to deliver similar profit growth as their ChiNext and STAR peers in the next 2 years. Data available on request.
Source: Wind, Goldman Sachs Global Investment Research

Exhibit 27: "Little Giants" are trading on lower PE and PB relative to ChiNext and STAR stocks

27. "Little Giants" are trading on lower PE and PB relative to ChiNext and STAR stocks. Data available on request.
based on median level of constituents
Source: Wind

Introducing GS "Little Giants" Portfolio (GSSRCNLG)

  • While the “Little Giants” story seems compelling to us and could be a major source of potential alpha generation in the years to come, it might not be a practical theme for some investors given its broad universe (703 stocks, 57 sub-industries), small/mid cap bias, limited sell-side footprint, and other corporate governance concerns (e.g. accounting standards, ESG compliance).

  • As such, we leverage various top-down growth, valuation, and R&D parameters, corporate-governance related considerations such as the breadth of sell-side coverage and management incentive plans, and accessibility factors (ADT and Northbound eligibility) to distill the broad theme into a more confined universe.

  • The above conditions allow us to screen for 40 names (all Northbound Connect eligible) from 17 sub-industries and form our GS "Little Giant" Portfolio (GSSRCNLG), of which 13 are covered by our equity analysts. Sectorally, 85% of the basket weights are concentrated in Tech (Hardware), Materials, and Health Care. It has an aggregate/average market cap of US$180bn/4.5bn and ADT of US$2bn/61mn, trades on 25x fP/E and 0.8x fPEG, and is expected by IBES consensus to grow earnings by 36% CAGR over the next 2 years. While its absolute valuations look high, the portfolio is trading on all-time lows in fP/E and fPEG terms, both at -2.1 s.d. to their respective historical means.

  • Our back-test shows that the basket has gained 115% since 2020, significantly outperforming CSI500, CSI300, and MSCI China by 109pp, 123pp, and 146pp respectively. It has demonstrated a beta of 1.1 to CSI500, but only 1.0 to CSI300/ChiNext and 0.8 to STAR, suggesting that it could be an effective vehicle to buy Growth in China without taking excessive beta risk.

Exhibit 28: The constituents spread across 17 sub-industries, with a strong "Hard Tech" flavor

28. The constituents spread across 17 sub-industries, with a strong "Hard Tech" flavor. Data available on request.
Source: Wind, FactSet, Goldman Sachs Global Investment Research

Exhibit 29: The basket has gained 115% since 2020, outperforming CSI500, CSI300 and MXCN by 109pp, 123pp and 146pp respectively

29. The basket has gained 115% since 2020, outperforming CSI500, CSI300 and MXCN by 109pp, 123pp and 146pp respectively. Data available on request.
Source: Wind, FactSet, Goldman Sachs Global Investment Research

Exhibit 30: The basket is trading at historically low valuations in both PE and PEG terms

30. The basket is trading at historically low valuations in both PE and PEG terms. Data available on request.
Source: Wind, FactSet, Goldman Sachs Global Investment Research

Exhibit 31: The basket has been less volatile compared with ChiNext and STAR

31. The basket has been less volatile compared with ChiNext and STAR. Data available on request.
Source: Wind, FactSet, Goldman Sachs Global Investment Research

Exhibit 32: The constituents of our Little Giants Basket (GSSRCNLG)

32. The constituents of our Little Giants Basket (GSSRCNLG). Data available on request.
Source: Wind, FactSet, IBES, Goldman Sachs Global Investment Research

Appendix

Exhibit 33: Policy focuses are evolving in China as the economy grows, as exemplified by the four 5-Year Plans in the past 2 decades

33. Policy focuses are evolving in China as the economy grows, as exemplified by the four 5-Year Plans in the past 2 decades. Data available on request.
Source: Xinhua.net, Reuters, Data compiled by Goldman Sachs Global Investment Research

Exhibit 34: 134 names in the existing MSCI China universe had returned more than 10x within any 5-year periods over the past 20 years

34. 134 names in the existing MSCI China universe had returned more than 10x within any 5-year periods over the past 20 years. Data available on request.
Source: MSCI, FactSet, Goldman Sachs Global Investment Research

Exhibit 35: Distribution of multi-baggers by starting year & sector

35. Distribution of multi-baggers by starting year & sector. Data available on request.
Source: MSCI, FactSet, Goldman Sachs Global Investment Research

Exhibit 36: Distribution of multi-baggers by ending year & sector

36. Distribution of multi-baggers by ending year & sector . Data available on request.
Source: MSCI, FactSet, Goldman Sachs Global Investment Research

Investors should consider this report as only a single factor in making their investment decision. For Reg AC certification and other important disclosures, see the Disclosure Appendix, or go to www.gs.com/research/hedge.html.