Introduction
This email starts off by showing you the IRR performance of your equities YTD versus your Canopy peers.
It also shows your portfolio allocation in equities versus your canopy peers when compared to your full investment portfolio.
The table then shows you the top 3 performing equity holdings compared to the peers.
Lastly, the chart shows the XIRR vs Absolute Profit of your equity portfolio.
A typical Annualized IRR vs Profit graph will look like the attached below. Salient points to note are
- Time Period for Calculations: All calculations are for the time period that starting the latest of First investment made in that security / Starting of the Account history with Canopy / 1 Jan 2017 and ending the previous business day. For example ...
- if your Canopy account history starts in 15 Feb 2016, this particular asset was bought on 31 Aug 2016, the IRR shown is from 1 Jan 2017 to the previous business day.
- if your Canopy account history starts in 1 Mar 2017, although you bought this particular asset way back on 12 Sep 2016, the IRR shown is for the period from 1 Mar 2017 to the previous business day.
- if your Canopy account starts on 1 Mar 2017, you bought this asset on 15 Oct 2017 then the IRR is for the period 15 Oct 2017 to the previous business day.
- Currency of Calculation: Unless otherwise specified all calculations are in USD. All investments in non USD currencies are converted into USD at prevailing spot rate (i.e. IRR will take Fx movement into account for non USD investments)
- Y-Axis: Annualized Internal Rate of Return (IRR) for that particular investment for the time period mentioned above.
- X-Axis: Profit made (typically in USD) on that particular investment. The profit includes all coupons and dividends. All investments are marked to market to the previous business day's closing prices.
- Size of each Bubble: Proportional to the amount invested. This calculation is simply the sum of all Purchase and Transfer In tickets (and ignores Sale and Transfer Out tickets). Therefore for securities where there is a lot of in and out trading (i.e a lot of Purchase tickets) this number will likely be a little inflated.
