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There's more than one way to do this. One common approach among indices is to take an iterative approach. For instance, you might identify the stocks with weights about 5%, then re-weight so that everything adds up to 1. Then you might identify the sectors that break the 10% limit and re-scale them to be less than 10%. Then re-scale everything to add up to ...


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Simple, if you're investing in Equities, you have a negative skew, decrease the variance and that will decrease the number of hits you take. Returns are on a log normal scale so, if you have two equal but opposite moves you will still be down money. E.g. If I have 100 dollars and I lose ten percent and then make ten percent, I will still be down one percent. ...


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It may not be possible to compute returns solely on yields. However, @Oleg has information on maturity (long term bonds, 20-30 years to maturity), and the YTM gives us a coupon for an "on the run" bond. As a proxy for this bond group, you could use a bond with 25 years left to maturity with an annual coupon of 7.44, where today was the coupon date, and the ...


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Sure a lot of traditional (mutual) buy side funds use MPT. They also mostly subscribe to the efficient market hypotheses. And they also do not hide the fact that they have no interest to lobby many retirement investment and savings schemes to allow for long/short investments but hold on to long-only. And finally, most of them underperform simple benchmark ...


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You can calculate an approximation. Yields are quoted on an annual basis. Bond valuations are based on Discounted Cash Flow formulas. Let’s take your sample data: weekly yields of 7.44, 7.43 and 7.40. $100 invested for a year at a yield of 7.44% will be worth 107.44 at the end of a year. That is 100 x (1.0744 ^ ( 365 / 365 )) = 107.44. The rate of ...


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Unfortunately I don't think it's possible to compute returns purely based on yields... There are a few options: If you're on the buy side, you can easily get access to Barclay, Citi, or BofA's bond indices. These are very high quality datasets for studying historical bond returns. If you have Bloomberg, they've started providing bond indices as well. They ...


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Lots of wealth management firms still use MPT; in my experience regulators like it because they understand it. If asset returns are normally distributed, the standard deviation of the portfolio is a coherent risk measure (this can be seen by noting that the normal distribution's CVaR, which is a coherent risk measure, can be written as $$\mu+c \sigma$$ ...


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I am engineer studying Finance, therefore Im not an expert in Math/Stat, but not noob. I disagree with the previous answer. In fact, I know portfolio managers and hedge fund assesors that usses MPT. It must be said that you need to know what that represents, and also not only focus your investment in MPT, but consider other methods. Like in every other ...


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MPT should be called Medieval Portfolio Theory, it is a theory from 50 years ago with huge theoretical flaws (mean-variance utility, use of Pearson's correlation that is not coherent, based on historical data). Come on, it is an error maximizer. The least one could do is Michoud resampling, but it is patented. Or a bayesian Black-Litterman would be more ...



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