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Experiment in Financial Markets to Verify a Quasi-Quantum Computer top

Toshiba Corporation (President and CEO, Satoshi Tsunakawa, hereinafter “Toshiba”) and Dharma Capital. K.K. (Founder and CEO, Akiyoshi Shiotani, hereinafter “Dharma Capital”) will launch a joint project to verify the effectiveness of high-frequency trading (hereinafter “HFT”) strategies for the Japanese listed stocks based on optimal solutions presented by a quasi-quantum computer, Toshiba’s Simulated Bifurcation Machine™. This is the world’s first attempt to verify the effectiveness of quasi-quantum computers when they are applied to the HFT strategies in actual financial trading systems.

Realizing financial markets in which all investors can trade at fair values requires improvements in market efficiency and liquidity. High-frequency traders, who continue to become more important as trading entities in financial markets, are characterized by repeating buying and selling of financial products at high-speed and high-frequency using trading algorithms that enable them to make high-speed decisions. It is believed that such HFT activities contribute to improving market efficiency and liquidity.

For example, in the stock market, such factors as excessive responses to the news by the media can cause prices of individual stocks to deviate significantly from their fair values (hereinafter “mispricing”), which may cause investors to trade at unfavorable prices. High-frequency traders have the ability to quickly eliminate these mispricings and improve market efficiency and liquidity by executing transactions that match overvalued/undervalued financial products even when markets are in such volatile situations.

Conventional HFTs tend to focus on self-evident arbitrage opportunities where high speed is the main source of competitiveness. An integration with mathematical models that require high-precision wide-area search using sophisticated evaluation functions to detect mispricings has not necessarily progressed over the years. On the other hand, in recent years, there has been rapid progress in the development of quasi-quantum computers that can solve large-scale combinatorial optimization problems at high speeds and low latency which was previously difficult.

By combining this quasi-quantum technology with conventional HFT technology, it is now possible to search a wider area, which includes statistical arbitration opportunities that have not been targeted before, with a sufficient level of low latency against market price fluctuations. Establishing trading systems that can quickly detect ever-untargeted mispricings and eliminate them is expected to further improve market efficiency and liquidity. The arrival of quasi-quantum technology envisions the new concept of algorithmic trading, but due to the nature of finance and especially of HFT, it needs to be validated in the actual market first.

In this joint experiment, Toshiba and Dharma Capital will examine the effectiveness of HFT strategies that are feasible only with the computational power of Toshiba’s Simulated Bifurcation Machine™, which is a quasi-quantum computer that solves combinatorial optimization problems at the world highest speed and largest scale. This is the world’s first attempt to verify the effectiveness of quasi-quantum computers when they are applied to HFT strategies in actual financial markets.

In this joint experiment, Toshiba will provide Dharma Capital with Simulated Bifurcation Machine™ customized for financial trading, with which Dharma Capital will combine its proprietary HFT technologies. Dharma Capital will engage in HFT strategies on Japanese stocks at the JPX Co-location area of the Tokyo Stock Exchange. Specifically, the two parties will construct a financial trading system environment, and verify the effectiveness of investment strategies based on optimal solutions presented by Toshiba’s Simulated Bifurcation Machine™.

As explained earlier, Simulated Bifurcation Machine™ will be utilized to detect mispricings in a wide area, it detects mispricings that can only be reached by solving combinatorial optimization problems, for example, by solving the shortest path search problem in the whole investment universe.

As its applications in the stock market, it has been planned to conduct statistical arbitrage strategies and optimal portfolio constructions based on the fast detection of ever-untargeted mispricings by solving combinatorial optimization problems. These strategies exploiting such quasi-quantum computers are considered to conceptually differ from existing HFT strategies and are expected to find new investment opportunities that existing HFT systems are unable to target.
Combining Dharma Capital’s HFT technologies with Toshiba’s Simulated Bifurcation Machine™ will find undiscovered opportunities by exploring all possibilities while maintaining sufficient speed. The parties will examine the effectiveness of the investment strategies exploiting the quasi-quantum computer in the financial market, and verify its contributions to efficient price formation and liquidity improvement in the market.

This joint experiment will be conducted under the following structure:

Toshiba: Provides Toshiba’s Simulated Bifurcation Machine™ customized for financial trading to Dharma Capital

Dharma Capital: Conducts high-speed trading, using a system that combines Dharma Capital’s proprietary HFT technologies and the quasi-quantum computer provided by Toshiba

The methodology examined in this experiment should apply not only to high-speed trading of stocks listed on the Tokyo Stock Exchange but also to that of any other electronically-tradable financial products, such as foreign stocks, fixed income securities, commodities, and other derivative securities.

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Alisa Charles
About Alisa Charles

I am Alisa. I take care of business processes. From retail to enterprise, from the local market to the global market structures. I am interested in the business areas linked with the city projects, their profitability, and structure and culture of city-business relations background.

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