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Rayliant Wilshire NxtGen Emerging Markets Equity ETF (RWEM) Fund Overview

Educational signal · not a buy or sell recommendation · How to read this

$36.20 +$0.3799 (+1.06%)
P/E Ratio: 13.52| Vol: 6.4K|

P/E 13.52 means the share price is 13.52 times one year of earnings per share. Beta 0.77: the stock has moved about 23% less than the S&P 500.

Data from FMP · Methodology

For informational purposes only. Not financial advice. Machine-generated analysis by Stock Expert AI — model gemini-2.0-flash, generated May 4, 2026. Editorial oversight is systemic, not page-by-page. Editorially accountable: Sedat ANAK, Founder and Editor-in-Chief. Data sources: Financial Modeling Prep, Yahoo Finance, SEC EDGAR

Quick Answer

Rayliant Wilshire NxtGen Emerging Markets Equity ETF (RWEM) trades at $36.20. Rayliant Wilshire NxtGen Emerging Markets Equity ETF (RWEM) is an exchange-traded fund that tracks a selection of large-cap emerging markets stocks. Sector: Financials.

Price as of · 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.

▶ Watch the RWEM film Every key number, told as a short cinematic story — just press play. ~2 min

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?

AI-written as of May 4, 2026 — figures and tone reflect the data available then, not today's score.

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

AI-written as of May 4, 2026 — figures and tone reflect the data available then, not today's score.

RWEM has a market capitalization of $2.57 billion, 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 MoonshotScore
VWO Vanguard FTSE Emerging Markets ETF $60.61 +1.76% $169B —
IEMG iShares Core MSCI Emerging Markets ETF $82.36 +1.40% $169B —
EEM iShares MSCI Emerging Markets ETF $68.67 +1.49% $32.1B —
BLK BlackRock, Inc. $1066.45 +0.64% $165B 51 5-pillar
BX Blackstone Inc. $112.52 +0.69% $136B 68 5-pillar
APOS Apollo Global Management, Inc. $25.59 0.00% $74.8B 56 5-pillar
BAM Brookfield Asset Management $44.73 -0.27% $71.4B 57 5-pillar
AMP Ameriprise Financial, Inc. $493.62 +0.55% $44.4B 77 5-pillar

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 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 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.
Model self-rating on this text: 83% (not a measure of the evidence) Updated: May 4, 2026

Research confidence

Low

Thin evidence — scoring coverage unknown. Treat this as a starting point, not a conclusion.

  • ● Scoring coverage unknown
  • ● Price is current
  • ● No filing on record
  • ● No analyst coverage
  • ● This is an etf, not an operating company

MoonshotScore History

Recorded daily since 2026-08-23 · 42 snapshots

2026-08-23 47
2026-08-31 47
2026-09-08 47
2026-09-16 47
2026-09-24 47
2026-10-04 47
2026-10-05 47

What changed?

The score has stayed at 47.

Over the same 30 days the stock moved -2.8%.

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 · May 2026

RWEM Latest News

No recent news available for RWEM.

RWEM Analyst Consensus

Consensus Rating

Aggregated Buy/Hold/Sell recommendations collected by Financial Modeling Prep for RWEM.

Price Targets

Wall Street price target analysis for RWEM.

RWEM MoonshotScore

MoonshotScore is Stock Expert AI's proprietary 0-100 research rating, not a buy or sell recommendation. No MoonshotScore is published for RWEM; grades run from A+ (80-100) to F (below 30).

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) — Financials

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.

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

MoonshotScore is not published for this security.

Data Sources & Methodology
Figures come from Financial Modeling Prep (FMP). If FMP has no figure for a ticker, a price or fundamental may come from a Yahoo Finance fallback, or a price from an Alpaca fallback. SEC EDGAR is used only for filing links and company identity details (legal name, address), never for figures. 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
Financial Modeling Prep (FMP)Stock Expert AI proprietary analysis