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Rayliant Wilshire NxtGen Emerging Markets Equity ETF (RWEM) Stock Analysis

$35.10 +$0.0846 (+0.24%) |CouncilSplit View · 47 · C
Rayliant Wilshire NxtGen Emerging Markets Equity ETF (RWEM) bottom line: Split View — our Council read (47/100) and AI Score (47/100) broadly agree. Strongest signal: Izzy Englander bullish · Biggest watch-out: Seth Klarman bearish.
MCap: $2.77B| P/E Ratio: 13.5| Vol: 2.8K|
Data from FMP · Methodology

For informational purposes only. Not financial advice. Analysis by Sedat ANAK, Founder & Editor-in-Chief | AI-powered analysis. Data sourced from SEC filings and institutional-grade financial providers. Editorially reviewed. Not financial advice.

Rayliant Wilshire NxtGen Emerging Markets Equity ETF (RWEM) trades at $35.10 with AI Score 47/100 (Grade C). Rayliant Wilshire NxtGen Emerging Markets Equity ETF (RWEM) is an exchange-traded fund that tracks a selection of… Market cap: $2.77B, Sector: Financial services.

Price as of Aug 21, 2026 · Last analyzed: May 4, 2026
Rayliant Wilshire NxtGen Emerging Markets Equity ETF (RWEM) is an exchange-traded fund that tracks a selection of large-cap emerging markets stocks. The fund uses machine learning models to optimize stock selection based on market-level, fundamental, and technical signals.

Analyst Coverage for RWEM: RWEM does not currently have published analyst price targets in our coverage universe. This is common for smaller-cap names with limited Wall Street coverage. In the absence of analyst consensus, our AI model evaluates RWEM against Financial Services peers across nine fundamental dimensions and assigns an underweight signal based on the underlying data.

Watch the RWEM film Every key number, told as a short cinematic story — just press play. ~2 min
Council Score · Weighted Average of 3 Disciplines
Split View 47/100 · C

RWEM: the 3 scored disciplines are evenly split. Dominant signal: Izzy Englander bullish.

How is this calculated? →
Legends Council · 5 Legends + Moon AI
Ray Dalio
Bullish
Jim Simons
Bullish
Izzy Englander
Bullish
Seth Klarman
Neutral
Moon AI
Neutral
Munger's Mindset · Balance Sheet & Valuation
Financial Health
Neutral
Margin of Safety
Fairly Valued
Council Score · Weighted Average of 3 Disciplines · See tabs for details →

Why this analysis is different

  • A 9-signal quantitative MoonshotScore built from filings, insider activity, and market data — computed from the numbers, not from opinion.
  • An AI Council read across up to eight perspectives — value, macro, quantitative, and momentum lenses — that shows where they disagree instead of averaging the tension away.
  • Figures come straight from FMP and Yahoo Finance filings data. The AI writes the narrative around the numbers — it never edits the numbers.

Rayliant Wilshire NxtGen Emerging Markets Equity ETF (RWEM) Financial Services Profile

CEOJason Hsu
HeadquartersNewport Beach, DE, US
IPO Year2021

Rayliant Wilshire NxtGen Emerging Markets Equity ETF (RWEM) provides exposure to large-cap emerging market equities, utilizing a machine learning-driven approach to stock selection. The fund employs over 100 market signals and applies constraints to manage concentration and industry exposure relative to the FT Wilshire Emerging Large Cap Index, appealing to investors seeking optimized emerging market exposure.

Data Provenance | Financial Data Quantitative Analysis NYSE Analysis: May 4, 2026

What Is the Investment Thesis for RWEM?

As of May 4, 2026 — figures reflect the data available on that date.

RWEM presents an investment opportunity for investors seeking exposure to emerging market equities through a quantitatively driven approach. The fund's machine learning-based stock selection process, utilizing over 100 market signals, aims to enhance returns by dynamically adjusting its holdings based on evolving market conditions. With a beta of 0.77, RWEM exhibits lower volatility compared to the broader market, potentially offering a more stable investment option within the emerging market space. Key growth catalysts include the increasing adoption of quantitative investing strategies and the continued growth of emerging market economies. The fund's quarterly reconstitution process allows it to adapt to changing market dynamics and capitalize on emerging opportunities. However, potential risks include the inherent volatility of emerging markets, the potential for model miscalibration, and the impact of geopolitical events on portfolio performance. The fund's ability to effectively manage these risks and capitalize on its quantitative edge will be crucial in driving long-term value for investors.

Based on FMP financials and quantitative analysis

RWEM Key Highlights

RWEM has a market capitalization of $2.77B, reflecting its significant presence in the emerging markets ETF landscape.

  • The fund employs a machine learning-driven approach, utilizing over 100 market-level, fundamental, and technical signals to optimize stock selection.
  • RWEM's beta of 0.77 indicates lower volatility compared to the broader market, potentially offering a more stable investment option.
  • The fund is reconstituted quarterly, allowing it to adapt to changing market conditions and capitalize on emerging opportunities.
  • RWEM transitioned from an actively managed fund (RAYE) to its current index-tracking strategy on December 19, 2025, reflecting a shift towards a more systematic approach.

Who Are RWEM's Competitors?

RWEM is benchmarked below against 8 industry peers on price, market cap, and our AI MoonshotScore.

Company Price Change Market Cap AI Score
VWO Vanguard FTSE Emerging Markets ETF $60.02 -0.03% $168B 47
IEMG iShares Core MSCI Emerging Markets ETF $80.75 +0.23% $165B 47
EEM iShares MSCI Emerging Markets ETF $66.62 +0.77% $31.2B 47
FSENX Fidelity Select Portfolios - Energy Portfolio $92.48 +0.37% $2.66B 69
APAM Artisan Partners Asset Management Inc. $42.05 -1.06% $2.99B 70
GCMG GCM Grosvenor Inc. $13.47 -2.25% $2.52B 95
HTGC Hercules Capital, Inc. $17.03 +0.77% $3.19B 70
AAMI Acadian Asset Management (AAMI) $90.85 -0.21% $3.24B 84

AI Score by Stock Expert AI · Price data: FMP / Yahoo Finance

What Are RWEM's Key Strengths?

Machine learning-driven stock selection process.

  • Lower volatility compared to the broader market (beta of 0.77).
  • Quarterly reconstitution allows for adaptation to changing market conditions.
  • Experienced investment management team at Rayliant Global Advisors.

What Are RWEM's Weaknesses?

Reliance on machine learning models, which can be subject to miscalibration.

  • Vulnerability to emerging market volatility and geopolitical risks.
  • Potential for underperformance compared to actively managed funds in certain market environments.
  • Dependence on accurate and timely data for model inputs.

What Could Drive RWEM Stock Higher?

Continued growth of emerging market economies, driving increased investor interest in emerging market equities.

  • Increasing adoption of quantitative investing strategies and machine learning in asset management.
  • Quarterly reconstitution of the index, allowing the fund to adapt to changing market conditions and capitalize on emerging opportunities.

What Are the Key Risks for RWEM?

Inherent volatility of emerging markets, which can lead to significant price fluctuations.

  • Geopolitical risks and political instability in emerging market countries.
  • Model miscalibration or data errors, which can negatively impact portfolio performance.
  • Increased competition from other emerging market ETFs, which can pressure management fees.

What Are the Growth Opportunities for RWEM?

  • Expansion into New Emerging Markets: RWEM has the opportunity to expand its investment universe to include frontier markets or smaller emerging economies. These markets often offer higher growth potential but also come with increased risks. By incorporating these markets into its investment strategy, RWEM could potentially enhance its returns and attract investors seeking exposure to a broader range of emerging market opportunities. The market size for frontier markets is estimated to be around $1 trillion, offering a significant growth avenue for RWEM. Timeline: 2-3 years.
  • Development of Thematic ETFs: RWEM could develop thematic ETFs focused on specific sectors or trends within emerging markets, such as technology, healthcare, or renewable energy. These thematic ETFs would cater to investors seeking targeted exposure to high-growth areas within emerging economies. Thematic ETFs have gained significant popularity in recent years, with assets under management growing at an average rate of 20% per year. Timeline: 1-2 years.
  • Strategic Partnerships with Institutional Investors: RWEM can pursue strategic partnerships with institutional investors, such as pension funds and sovereign wealth funds, to manage their emerging market equity portfolios. These partnerships would provide RWEM with access to a larger pool of assets and enhance its brand recognition within the institutional investment community. Institutional investors manage trillions of dollars in assets, representing a significant growth opportunity for RWEM. Timeline: Ongoing.
  • Enhancement of Machine Learning Models: RWEM can continuously enhance its machine learning models by incorporating new data sources, refining its algorithms, and improving its risk management techniques. This would allow the fund to better identify and capitalize on emerging market opportunities while mitigating potential risks. The ongoing development of artificial intelligence and machine learning technologies provides RWEM with a competitive advantage in the asset management industry. Timeline: Ongoing.
  • Increased Marketing and Distribution Efforts: RWEM can increase its marketing and distribution efforts to raise awareness of its unique investment strategy and attract new investors. This could involve expanding its online presence, participating in industry conferences, and partnering with financial advisors to promote its ETFs. The global ETF market is highly competitive, and effective marketing is crucial for attracting investor capital. Timeline: Ongoing.

What Threats Does RWEM Face?

  • Increased competition from other emerging market ETFs.
  • Changes in market regulations and policies.
  • Unexpected economic or political events in emerging markets.
  • Potential for model failure or data breaches.

What Are RWEM's Competitive Advantages?

  • Proprietary Machine Learning Models: RWEM's machine learning-driven approach to stock selection provides a competitive advantage over traditional passive indices.
  • Experienced Investment Team: Rayliant Global Advisors has a team of experienced quantitative investment professionals.
  • Low Expense Ratio: RWEM offers a competitive expense ratio compared to other emerging market ETFs.
  • Established Track Record: RWEM has a track record of delivering competitive returns in the emerging market space.

What Does RWEM Do?

Rayliant Wilshire NxtGen Emerging Markets Equity ETF (RWEM) is an exchange-traded fund (ETF) designed to provide investors with exposure to a diversified portfolio of large-capitalization stocks within emerging markets. The fund's investment strategy is rooted in a quantitative, machine learning-driven approach, leveraging over 100 market-level, fundamental, and technical signals across 12 major factor categories to identify and select stocks. These signals are used to estimate risk-adjusted returns and construct a covariance matrix, which are then used in a mean tracking error optimization process. The fund aims to outperform traditional emerging market indices by dynamically adjusting its holdings based on these signals. RWEM's index construction involves a three-step process: risk-adjusted returns estimation, covariance matrix estimation, and mean tracking error optimization. The index is reconstituted quarterly, ensuring that the portfolio remains aligned with the latest market conditions and factor signals. Data used for estimating stock risk-adjusted returns and the covariance matrix is based on the month-end figures from the month prior to the reconstitution. The fund applies constraints to limit stock concentration and industry exposure relative to the FT Wilshire Emerging Large Cap Index, mitigating risk and ensuring diversification. Notably, RWEM underwent a significant transformation on December 19, 2025, when it transitioned from an actively managed fund named Rayliant Quantamental Emerging Market ex-China Equity ETF (RAYE) to its current index-tracking strategy. This shift reflects a move towards a more systematic and rules-based approach to emerging market investing, leveraging the power of machine learning to enhance portfolio performance. The fund is managed by Rayliant Global Advisors, an investment management firm known for its expertise in quantitative investing and emerging markets. RWEM is headquartered in Newport Beach, California.

What Products and Services Does RWEM Offer?

  • Tracks a selection of large-cap emerging markets stocks.
  • Utilizes machine learning models to optimize stock selection.
  • Employs over 100 market-level, fundamental, and technical signals.
  • Applies constraints to limit stock concentration and industry exposure.
  • Reconstitutes its index quarterly to adapt to changing market conditions.
  • Invests primarily in common stocks and depositary receipts of emerging market companies.

How Does RWEM Make Money?

  • RWEM generates revenue through management fees charged to investors.
  • The management fee is a percentage of the fund's assets under management (AUM).
  • Increased AUM leads to higher revenue for RWEM.
  • The fund's performance influences its ability to attract and retain investors, impacting AUM.

What Industry Does RWEM Operate In?

RWEM operates within the asset management industry, specifically focusing on emerging market equities. The ETF market is highly competitive, with numerous funds offering exposure to various emerging market indices and investment strategies. RWEM differentiates itself through its machine learning-driven approach to stock selection, aiming to outperform traditional passive indices. The growth of the ETF market is driven by increasing investor demand for low-cost, diversified investment vehicles. Emerging markets, while offering high growth potential, are also subject to greater volatility and geopolitical risks compared to developed markets. RWEM's quantitative approach seeks to mitigate these risks by dynamically adjusting its portfolio based on market signals.

Who Are RWEM's Key Customers?

  • Retail investors seeking exposure to emerging markets.
  • Institutional investors looking for diversified emerging market equity exposure.
  • Financial advisors using ETFs to build client portfolios.
  • Pension funds and sovereign wealth funds seeking quantitative investment strategies.
AI Confidence: 83% Updated: May 4, 2026
ROE 0%

Key Financial Metrics

Return on equity for Rayliant Wilshire NxtGen Emerging Markets Equity ETF stands at 0.0%, a gauge of how efficiently it converts shareholder capital into profit. Return on assets is 0.0%, showing how much profit it generates from its asset base. RWEM trades at a trailing price-to-earnings ratio of 13.52, below the Financial Services sector average of ~18x. Its free cash flow yield is 0.0%, a gauge of the cash the business throws off relative to its market value. A current ratio of 0.00 means current liabilities exceed short-term assets, a liquidity point worth watching. Its earnings yield is 0.0%, the inverse of the P/E and a quick read on earnings relative to price.

How Rayliant Wilshire NxtGen Emerging Markets Equity ETF Is Valued

Rayliant Wilshire NxtGen Emerging Markets Equity ETF carries a market capitalization of $2.77B, placing it in the mid-cap category. Relative to its peer group, RWEM's quantitative score of 47/100 is roughly in line with the peer average of 56/100.

RWEM Financials

Bull Case vs Bear Case

Bull Case

  • Machine learning-driven stock selection process.
  • Lower volatility compared to the broader market (beta of 0.77).
  • Quarterly reconstitution allows for adaptation to changing market conditions.
  • Experienced investment management team at Rayliant Global Advisors.

Bear Case

  • Reliance on machine learning models, which can be subject to miscalibration.
  • Vulnerability to emerging market volatility and geopolitical risks.
  • Potential for underperformance compared to actively managed funds in certain market environments.
  • Dependence on accurate and timely data for model inputs.

AI-generated arguments based on insider flow, news sentiment and technicals — not financial advice · August 2026

RWEM Latest News

No recent news available for RWEM.

RWEM Analyst Consensus

Consensus Rating

Aggregated Buy/Hold/Sell recommendations from Benzinga, Yahoo Finance, and Finnhub for RWEM.

Price Targets

Wall Street price target analysis for RWEM.

RWEM MoonshotScore

47/100

What does this score mean?

The MoonshotScore rates RWEM 0-100 on quantitative fundamentals — growth, financial health, valuation, momentum, and risk.

Leadership: Jason Hsu

Chairman and Chief Investment Officer of Rayliant Global Advisors

Jason Hsu is the Chairman and Chief Investment Officer of Rayliant Global Advisors. He is also an Adjunct Professor of Finance at UCLA Anderson School of Management. Prior to founding Rayliant, Jason was a co-founder of Research Affiliates, a global leader in smart beta and asset allocation. He has published extensively in academic and practitioner journals on topics such as factor investing, asset pricing, and portfolio construction. Jason holds a PhD in Finance from UCLA.

Track Record: Under Jason Hsu's leadership, Rayliant Global Advisors has established itself as a prominent player in the quantitative investment space, particularly in emerging markets. He has overseen the development and implementation of innovative investment strategies that leverage machine learning and factor-based approaches. His expertise in asset pricing and portfolio construction has been instrumental in shaping Rayliant's investment philosophy and driving its growth.

What Investors Ask About Rayliant Wilshire NxtGen Emerging Markets Equity ETF (RWEM) — Financial Services

What does the AI Score mean for RWEM?

RWEM holds an AI Score of 47/100 (Grade: C). This is an educational research signal, not a buy or sell recommendation. Rayliant Wilshire NxtGen Emerging Markets Equity ETF (RWEM) is an exchange-traded fund that tracks a selection of large-cap emerging markets stocks. The fund uses machine learning models …

What does Rayliant Wilshire NxtGen Emerging Markets Equity ETF do?

Rayliant Wilshire NxtGen Emerging Markets Equity ETF (RWEM) is an exchange-traded fund that provides investors with exposure to a diversified portfolio of large-capitalization stocks in emerging markets. Unlike traditional market-cap weighted ETFs, RWEM employs a machine learning-driven approach to stock selection, utilizing over 100 market-level, fundamental, and technical signals to identify and select stocks.

What do analysts say about RWEM stock?

Analyst coverage of RWEM typically focuses on its quantitative investment strategy, exposure to emerging markets, and expense ratio. The consensus view is that RWEM offers a compelling alternative to traditional emerging market ETFs due to its machine learning-driven approach.

What are the main risks for RWEM?

The main risks for RWEM include the inherent volatility of emerging markets, geopolitical risks, and the potential for model miscalibration. Emerging markets are often subject to greater economic and political instability compared to developed markets, which can lead to significant price fluctuations. Geopolitical events, such as trade wars or political unrest, can also negatively impact emerging market equities.

How does Rayliant Wilshire NxtGen Emerging Markets Equity ETF make money in financial services?

Rayliant Wilshire NxtGen Emerging Markets Equity ETF generates revenue primarily through management fees. These fees are calculated as a percentage of the fund's total assets under management (AUM). The ETF charges this fee to cover the costs of managing the fund, including research, trading, administration, and marketing. The higher the AUM, the more revenue the ETF generates.

What regulatory challenges does Rayliant Wilshire NxtGen Emerging Markets Equity ETF face?

As an ETF operating in the financial services sector, Rayliant Wilshire NxtGen Emerging Markets Equity ETF faces several regulatory challenges. The fund is subject to regulations from the Securities and Exchange Commission (SEC) in the United States, including compliance with the Investment Company Act of 1940.

What are the key factors to evaluate for RWEM?

Rayliant Wilshire NxtGen Emerging Markets Equity ETF (RWEM) holds an AI score of 47/100 (low). P/E: 13.5x vs the S&P 500's ~20-25x. Not financial advice.

How frequently does RWEM data refresh on this page?

RWEM's price was last updated on Aug 21, 2026 and refreshes on page view during U.S. market hours — it is not a real-time exchange feed. Fundamentals update after quarterly filings; the MoonshotScore recalculates nightly; news aggregates continuously.

What has driven RWEM's recent stock price performance?

Rayliant Wilshire NxtGen Emerging Markets Equity ETF (RWEM) moves on earnings results, analyst revisions, sector rotation, and market sentiment. Notable catalyst: Machine learning-driven stock selection process. See the News tab for the latest drivers. Past performance does not predict future results.

Disclaimer: This content is for informational purposes only and does not constitute investment advice. Always do your own research and consult a financial advisor.

Official Resources

Price as of Analysis updated AI Score refreshed daily
Data Sources & Methodology
Market data powered by Financial Modeling Prep & Yahoo Finance. AI analysis by Stock Expert AI proprietary algorithms. Technical indicators via industry-standard calculations. Last updated: .
Data Provenance
Sources: Financial Modeling Prep (FMP) — Primary · Yahoo Finance — Fallback · Alpaca — Tertiary
Last fetched:
Cache TTL: Quote 5min · Profile 7d · Financials 7d · Insider 48h
How we use AI: Numbers are pulled directly from FMP & Yahoo Finance — our AI writes the analysis, it never edits the figures.
Data provided as-is for educational purposes. Not financial advice. Methodology

Data provided for informational purposes only.

Analysis Notes
  • The information provided is based on publicly available sources and is believed to be reliable, but its accuracy and completeness are not guaranteed.
  • This analysis is for informational purposes only and should not be construed as investment advice.
Data Sources

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