Quantpedia in April 2022

4.May 2022

Hello all,

What have we accomplished in the last month?

– A two new Quantpedia Pro reports – Fixed Income Crisis & Commodity Crisis
– 10 new Quantpedia Premium strategies have been added to our database
– 11 new related research papers have been included in existing Premium strategies during the last month
– Additionally, we have produced 9 new backtests written in QuantConnect code
– And finally, 2+2 new blog posts that you may find interesting have been published on our Quantpedia blog in the previous month

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How Does Weighting Scheme Impacts Systematic Equity Portfolios?

27.April 2022

How often do you think about the weights of the assets in your portfolio? Do you weigh your assets equally, or do you prefer value-weighting? The researchers behind a recent research paper analyzed various weighting schemes and examined their effect on factor strategy return. They studied five weighting schemes that ignore prices: equal weighting, rank weighting, z-score weighting, inverse volatility weighting, and fundamental weighting, and three price-based weighting schemes: Rank x mcap (rank-times-mcap), Z-score x mcap (z-score-times-mcap), and Integrated core.

They found that schemes that are not based on price can inflate turnover and costs. However, the weighting schemes based on price are the most practical to target multiple premiums, provide robust risk control, and decrease turnover and expenses.

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The Price of Transaction Costs

22.April 2022

Capturing the systematic premia is the main aim of many quantitative traders. However, investors tend to overlook an important factor when backtesting. Trading costs are an essential part of every trade, and yet even when we consider them, we only use an approximation. The recent article from Angana Jacob (SigTech) looks into how heavily trading costs affect the overall return of various strategies and analyzes multiple ways of implementing trading costs into the trading rules themselves.

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