Quantum-Inspired Hierarchical Risk Parity
We present a quantum-inspired approach to portfolio optimization that is based on an optimization problem that can be solved using a quantum annealer. The proposed algorithm utilizes a hierarchical clustering tree that is based on the covariance matrix of the asset returns. We use real market data to benchmark our approach against other common portfolio optimization methods and demonstrate its strong performance in terms of a variety of risk measures and lower susceptibility to inaccuracies in the input data.
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By Aaron He & Anish R. Verma From late 2013 through early 2014 there were severe cold fronts across North America, during which time natural gas futures (NG) prices spiked, peaking in February of 2014. The Market Sentiment Meter (MSM) indicated Complacent and...
The CME Market Sentiment Meter (MSM) provides a daily risk–return estimate for eight products traded on CME Group exchanges: corn (C), crude oil (CL), euro/USD FX (EC), S&P 500 index e-minis (ES), gold (GC), natural gas (NG), soybeans (S), and 10-year treasury notes (TYF). The Market Sentiment Meter is computed by 1QBit using end-of-day settlement data published by CME Group. It is available as a subscription product through CME DataMine.
Periods of Anxious market states for COMEX Gold futures (GC1) tended to be either short-lived or long-lived in the eight-year period ending in December 2019.
In 2018, the U.S. saw economic growth and the Federal Reserve hiked rates four times during the year. The year was dominated primarily by Balanced market states, and GC consistently fell once the rate hikes were announced.
The year 2019 saw slowed economic growth and increased tensions with China, Iran, and Russia. This led to a large rise in GC from July to November, and GC remained at a high relative to the beginning of the year. In 2019, the Federal Reserve made three rate cuts. During this time, the Market Sentiment Meter (MSM) indicated an extended period of Anxious market states from July to November.
A review of Q1 2020 as seen in the CME Market Sentiment Meter By Anish R. Verma, Andrew Milne The COVID-19 pandemic had a notable effect on the eight futures and options products tracked by 1QBit’s CME Market Sentiment Meter. In some markets, such as U.S. equity index...
By Anish Verma In the year 2019, daily settlement prices (most active expiry) for WTI Crude Oil futures (CL1) rose as tensions with China and Iran grew from January to April. During this period, the Market Sentiment Meter (MSM) indicated Balanced market states....