Snapshot*
Top 10 Holdings
What is JHEM?
John Hancock Multifactor Emerging Markets ETF seeks to pursue results that closely correspond, before fees and expenses, to the performance of the John Hancock Dimensional Emerging Markets Index. The fund normally invests at least 80% of its net assets (plus any borrowings for investment purposes) in securities included in the fund s Index, in depositary receipts representing securities included in the fund s Index, and in underlying stocks in respect of depositary receipts included in the fund s Index. The Index is designed to comprise a subset of securities of companies associated with emerging markets, which may include frontier markets (emerging markets in an earlier stage of development). Eligible companies are generally considered to be those with market capitalizations in the top 80% of an eligible country and the top 85% of all companies in eligible countries at the time of reconstitution. The selection and weighting of securities in the Index involves a rules-based process that may sometimes be referred to as multifactor investing, factor-based investing, strategic beta, or smart beta. With respect to each country, companies are classi ed according to their market capitalization, relative price, and pro tability.
JHEMPerformance Measures**
for the time period Sep 28, 2018 to Jul 16, 2026
1M Trailing Return: -5.8%
The percent change in the value over the most recent 1-month period.
3M Trailing Return: 3.5%
The percent change in the value over the most recent 3-month period.
Max Drawdown: -35.0%
The greatest percent loss from peak to trough in value over the time period.
Standard Deviation: 20.9%
The typical amount that daily returns vary from the mean of the returns over the time period, standardized to a period of a year.
Sharpe Ratio: 0.48
The annualized arithmetic mean of the daily returns divided by the annualized standard deviation of the daily returns for the selected time period.
Calmar Ratio: 0.23
The annualized return divided by the max drawdown for the selected time period.
ETFs related toJHEM
ETFs correlated to JHEM include DFAE, IEMG, AVEM
What is ETF correlation?
Correlation is a measure of the strength of the relationship between two ETFs. It quantifies the degree to which prices of the two ETFs typically move together.
Here, correlation is measured over the past year with the Pearson correlation coefficient (Pearon’s r), which ranges from -1 to 1.
Using ETF correlations in portfolio and strategy construction
ETF correlations can help you create investing strategies and portfolios. Use them to:
- •Build a diversified portfolio from uncorrelated or inversely correlated ETFs with the aim of minimizing portfolio risk.
- •Compare correlated or related ETFs to find one with a lower expense ratio or higher trading volume.
- •Create an investing strategy that hedges an ETF with an uncorrelated or inversely correlated ETF.
FAQ
Disclaimers
We show information directly obtained from our data provider, Xignite. Data shown here is provided by Xignite, an unaffiliated third party. Composer believes the information shown here is reliable, but has not been verified and there is no guarantee that the information is accurate.
We show information based on calculations performed by Composer using data from our provider. Information provided here is based on calculations performed by Composer using data sourced from Xignite, an unaffiliated third party. Composer believes this information is reliable, but has not verified the data and there is no guarantee that the calculations are accurate.