Quantpedia in January 2021

2.February 2021

Ten 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 12 new backtests written in QuantConnect code. Our database currently contains exactly 400 strategies with out-of-sample backtests/codes.

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

Plus we continue to re-run some of our codes on a monthly basis systematically, over 230 codes are at the moment part of this activity.

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Macro Factor Risk Parity

29.January 2021

Risk and diversification are critical interests of every investor, especially when things go south since the correlations across assets tend to rise during stressful times. Therefore, in the asset allocation, the risk parity allocation is one of the key topics. Factors are commonly known as underlying sources of both risk and returns, and it is assumed that they can be utilized to achieve superior risk-adjusted returns and diversification. However, there seems to be a lack of research that would be related to the macro factors. This gap is quite striking since there is a general consent that macro factors (for example, inflation) largely influence the broad set of assets. Amato and Lohre (2020) research paper fills the gap and studies the usage of macro factors as diversifiers in asset allocation.

The authors divide the macro factors to two groups, where the first consists of TERM, MARKET, USD, OIL and DEF (default risk), and the second group consists of CLI (a measure of output by OECD), G7.INFLATION, G7.Short.Rate and VIX. The research shows, that when the diversification matters the most, only the second group improves both the risk and returns, acting as a successful diversification during various economic regimes and particularly, during high economic uncertainty. Overall, the paper offers exciting insights into diversification and macro factors, accompanied by more complex mathematical models definitely worth looking into.

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Probability Distributions of Bull and Bear Market States

22.January 2021

Numerous academic papers have shown that the options markets are not only the place where the supply and demand for options meets. For example, they might point out to the smart money positioning, help to assess risk in the form of implied volatility, or be base of the well-known fear index VIX. Novel research of Bhansali and Holdom (2021), uses information embedded in options markets to construct a probability-weighted mixture of two distributions of bull and bear market states for the S&P 500 index. The results show that the implied return distributions drastically change switching from normal to stressed market states and vice versa. Moreover, the uncertainty in both distributions changes in the same fashion.

An excellent example is the shift of distribution before and after the recent US presidential election, which can be found below. Many have feared that if the democrat candidate Biden wins the elections, it would be a bad signal for the markets. However, after the uncertainty has passed, the fear has seemed to disappear. Additionally, the paper also shows how to use the bimodality in return distributions for the asset allocation using various utility functions. Allocations are made using a risky asset, risk-free and even options. Indeed, this research is worth reading. 

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Crypto Covered Interest Parity Deviations

15.January 2021

Bitcoin and other currencies are frequently discussed nowadays. The debate has emerged mainly because of the strong uptrend in the Bitcoin price. In this blog post, we will leave the price patters to others. We will instead present interesting novel research connected to the well known theoretical model in the fiat currencies – the Covered Interest Rate Parity (CIP). If the CIP holds, interest rates and both the spot and forward rates of two countries should be in equilibrium. Novel research of Franz and Valentin (2020) examines the CIP in BTC/USD pair. The CIP theory states that there should be no arbitrage opportunities, but how the CIP holds in such a volatile market, where individual investors/traders seem to dominate? According to research, there were significant CIP deviations in the past, but it changed with the launch of BTC/USD futures in CME and high-frequency traders’ market entry. Moreover, the second event was much more successful in the reduction of deviations.

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Fiscal Stimulus Matters to Market

8.January 2021

Fiscal stimulus measures have become a hot topic in the financial markets. However, that is not surprising, since fiscal stimulus is a crucial government method to ease the pandemic crisis’s impacts. Therefore, the investors and market are very sensitive to this topic, and they react to the fiscal stimulus and any related news very sharply. While it is intuitive that the withdraw of the stimulus measures will negatively affect the markets and markets will fall, the magnitude of these falls is unknown. Novel research by Chan-Lau and Zhao (2020), quantifies the impacts of withdrawals and it’s effects on the stock markets worldwide. The reactions are especially negative if the fiscal stimulus is withdrawn “too soon”. According to the authors, too soon is when the number of daily COVID cases is high compared to the recent past.

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