Snapshot*
Top 10 Holdings
What is ISZE?
The Fund seeks to track the investment results of the MSCI World ex USA Low Size Index (the Underlying Index ), which is based on a traditional market capitalization-weighted parent index, the MSCI World ex USA Index (the Parent Index ). The Parent Index includes international large- and mid-capitalization stocks, as defined by MSCI Inc. (the Index Provider or MSCI ). The Underlying Index is constructed by applying a mathematical formula that reweights the constituents of its market capitalization weighted Parent Index, such that smaller companies as measured by market capitalization receive a larger index weight than their larger counterparts. In addition, at each rebalancing, a factor is applied that operates as a constraint or cap on the weight of individual components of the Underlying Index the constraint factor. The constraint factor is held constant between each rebalancing. The constraint factor is calculated by reference to the relative weight of each component in the Parent Index and used to determine the weights of each respective component in the Underlying Index. The constraint factor remains constant between index reviews except in case of corporate events (as defined by the Index Provider). The constraint factor does not limit the market appreciation / depreciation of individual components between each rebalancing. The Underlying Index is rebalanced semi-annually in May and November. As of October 25, 2018, there are 1,013 component securities in the Underlying Index. As of October 25, 2018 a significant portion of the Underlying Index is represented by securities of companies in the financials and industrials industries or sectors. The components of the Underlying Index are likely to change over time. Prior to the selection of the Underlying Index on December 3, 2018, the Fund tracked the MSCI World ex USA Risk Weighted Index.
ETFs related toISZE
ETFs correlated to ISZE include IEFA, IDEV, SPDW
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.
Automated Strategies
Related toISZE
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Create your own algorithmic trading strategy with ISZE using Composer
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.