Not all Gold Shines in Crisis Times – COVID-19 Evidence

23.October 2020

Nowadays, gold is a hot topic, but that is not a surprise given the worldwide situation. The gold is by the majority considered as a hedge, safe haven and often recognized for its ability to preserve the value in the long term. However, gold itself is not the only gold-related investable asset. There are numerous gold-related stocks – producers, explorers and developers. Common sense might suggest that the price of such stocks should reflect the gold prices, but the novel research by Baur and Trench (2020) shows that this logic is not always correct. Results suggest that gold equities cannot be considered as safe havens and investors differentiate between producers, explorers and developers during regular times. On the other hand, during the recent (and lasting) stressful COVID period, all types of gold stocks moved similarly to gold.

Authors: Dirk G. Baur and Allan Trench

Title: Not all Gold Shines in Crisis Times – COVID-19 Evidence

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The Knapsack problem implementation in R

16.October 2020

Our own research paper ESG Scores and Price Momentum Are More Than Compatible utilized the Knapsack problem to make the ESG strategies more profitable or Momentum strategies significantly less risky. The implementation of the Knapsack problem was created in R, using slightly modified Simulated annealing optimization algorithm. Recently, we have been asked about our implementation and the code. The code is commented and probably could be implemented more efficiently (in R or in another programming language). For example, R is more efficient with matrices, but the code would not be that “straightforward”. Lastly, the most important tuning parameter is the temperature decrease (the probability of accepting a new solution is falling with the rising number of iterations).

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The Daily Volatility of Foreign Exchange Rates and The Time of Day

15.October 2020

The foreign exchange market (FOREX) is opened 24 hours a day, but traders from different parts of the world tend to prefer different trading hours. However, various dominant trading sessions around the globe can lead to time-dependent market characteristics. Novel research by Doman and Doman (2020) has studied how does the daily volatility of FX rates depend on the time of day of calculation. The volatility changes through the day, and the underlying dynamics depend on the time of the estimate. The results can have important implication for practitioners since the volatility differences are large enough so they can influence trading/risk management decisions.

Authors: Małgorzata Doman and Ryszard Doman

Title: How Does the Daily Volatility of Foreign Exchange Rates Depend on the Time of Day at Which the Daily Returns Are Calculated?

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Resurrecting the Value Premium

8.October 2020

Nowadays, the value factor is a hot topic among practitioners and researchers as well. It is commonly known that equity factors have a cyclical performance, but many argue that value underperforms for too long. Therefore, many say that the classical HML value factor of Fama and French is dead. On the other hand, there is an emerging amount of research papers that study the value investing with an aim to make some alterations that would result in a profitable factor as the classic B/M ratio looks like it’s not a sensible value factor anymore. This branch of literature was recently enriched by novel research of Blitz and Hanauer (2020). By including more value metrics, altering the investment universe and applying basic risk management techniques, value strategy can become profitable in the long term. Although the modification is sensible, it stills suffer in a recent period. Only time will tell whether the novel resurrected value factors would emerge again as many times in the past…

Authors: David Blitz and Matthias X. Hanauer

Title: Resurrecting the Value Premium

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Quantpedia in September 2020

2.October 2020

We have prepared several new announcements, but first, let us recapitulate last month of Quantpedia’s research. Nine new Quantpedia Premium strategies have been added into our database, and eleven new related research papers have been included in existing Premium strategies during last month.

Additionally, we have produced 12 new backtests written in QuantConnect code. Our database currently contains over 350 strategies with out-of-sample backtests/codes.

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

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