Do Floor Traders Matter?

4.July 2020

The pandemic of COVID-19 brought many changes for the whole humanity. The financial markets where no exception, but the trading has continued. Nowadays, the order can be placed from anywhere around the world and almost all stock exchanges are electronic and algorithmic. However, there is still one exchange where the floor trading exists – NYSE. During these tough times, NYSE was also purely electronic, the floor trading was closed, and human interaction was not possible. A novel study by Brogaard, Ringgenberg and Roesch examines the role of floor traders in the recent era driven by computers. The conclusion is clear: in the current digital age, floor traders still matter.

Authors: Jonathan Brogaard, Matthew C. Ringgenberg, Dominik Roesch

Title: Does Floor Trading Matter?

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Quantpedia in June 2020

1.July 2020

One more month is behind us and now it’s time for a short recapitulation. Nine new Quantpedia Premium strategies have been added into our database, and ten new related research papers have been included in existing Premium strategies during last month.

Additionally, we have produced 16 new backtests written in QuantConnect code. Our database currently contains over 310 strategies with out-of-sample backtests/codes.

Also, four new blog posts you may find interesting have been published on our Quantpedia blog:

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YTD Performance of Crisis Hedge Strategies

25.June 2020

After a month, we are back with a year-to-date performance analysis of a few selected trading strategies. In the previous article, we were writing about the performance of equity factors during the coronavirus crisis. Several readers asked us to take a look also on different types of trading strategies, so we are now expanding to other asset classes. We picked a subset of strategies that can be used as a hedge at the times of market stress (at least, that’s what the source academic research papers indicate) and checked how they fared.

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Transaction Costs Optimization for Currency Factor Strategies

18.June 2020

A lot of backtests of systematic trading strategies omit transaction costs (in the form of spreads and fees). Simulation is then simpler, but resultant model portfolio and its performance can be misleading. In the case of currency factor investing, backtest without the costs simulation can pick currencies with wider spreads and higher volatilities. And in real trading, with real-world transaction costs, a strategy can, therefore, perform significantly worse than expected. A research paper written by Melvin, Pan, and Wikstrom offers an elegant optimization methodology to incorporate transaction costs into the backtesting process which allows strategies to retain their alpha …

Authors: Michael Melvin, Wenqiang Pan, Petra Wikstrom

Title: Retaining Alpha: The Effect of Trade Size and Rebalancing Frequency on FX Strategy Returns

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