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    IWDA+EIMI+WSML portfolio weight allocation: my personal criteria

    @kaytiedid I did not know that website. That's a cool one, thanks! And I retested the r script (on Windows 10) and it's still working fine for me, it may be some inconsistency with your os (or local configuration) that may affect pdf parsing.
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    IWDA+EIMI+WSML portfolio weight allocation: my personal criteria

    @hh316 The code above can only be used to extract iShares PDF information. However I created a code to extract information from FTSE factsheets . To use it, you only need to change the extractPDFInfo() function to the following one: from pathlib import Path import PyPDF2 def...
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    IWDA+EIMI+WSML portfolio weight allocation: my personal criteria

    @fearey Generally, when the portfolio is small, it can be rebalanced with future investments (since in one month the amount contributed may represent a substantial percentage of the total investments). Thus the allocation of that month can be used to rebalance the portfolio. However, when the...
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    IWDA+EIMI+WSML portfolio weight allocation: my personal criteria

    @taha Code Name Number of Constituents Market Capitalization (USD millions) Percentage (%) IWDA MSCI World Index 1583 56221708.67 76.35 EIMI MSCI Emerging Markets 3071 9291140.72 12.62 WSML MSCI small caps 4252 8125856.28 11.03
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    IWDA+EIMI+WSML portfolio weight allocation: my personal criteria

    Hello all, That's a rather long post to show my criteria on how to I define the weights for my 3 ETF portfolio: IWDA, EIMI and WSML. In this post I give some background information by briefly talking about the two main ETF portfolios for long-term passive investors: FTSE Global All-Cap ETF and...
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