Can a Common Hedge Fund Strategy Be Applied to Bitcoin to Drastically Reduce Investment Risk?

Philipp Kallerhoff
Aug 17, 2017 · 7 min read

Blockchain assets are volatile, often have limited liquidity and represent higher risk than most investments. They’ve also appreciated in value at a staggering rate. So we asked ourselves, could a common hedge fund strategy, when applied to the bitcoin market, allow us to successfully limit our risk while still participating in the upside?

Blockchain assets emerged as a new asset class lately and are traded frequently on various online exchanges. Bitcoin is the most prominent example and the most valuable at the time of writing with a market cap of more than 50 billion USD.

The total market cap now exceeds 100 billion and includes more than 1000 different blockchain assets. The total trading volume exceeds 2 billion USD per day.

This market has seen tremendous interest as some of these assets have increased over 10 times in a short period of time.

For example, Ethereum has increased more than 24 times on 6/30/17 compared to one year ago. Hence an investor of 1000 USD a year ago would now own Ethereum worth 24’000 USD and could buy himself a new car.

But that interest comes with risk

The risk doesn’t end there, as some of the assets have very limited liquidity, which results in massive price increases and sometimes even larger price drops.

Additionally, one could fear that the blockchain bubble bursts. In particular, the risk — measured by volatility — in this new asset class is far bigger than in the classic asset classes like equities or bonds. Both Bitcoin and Ethereum have a volatility of more than 100% over the last year, whereas the S&P 500 Index has a long run volatility of around 16%.

How Risk is Managed in Traditional Markets

A call option is the right to buy a particular underlying asset at a certain time for a certain price from the seller. The result is that the buyer of this option is only participating in the upside of the underlying, but not if the price of the underlying falls. Of course, the buyer has to pay a fee for that (premium).

The figure below shows the payoff and profit profile for the buyer, depending on the price of the underlying at the expiration date for the call option.

Risk Mitigation Tools Are Limited in Crypto

Several other strategies exist to evade financial risk. Fundamental analysis, delving into a detailed analysis of the cryptocurrency such as revenues, adoption level, governmental models, development strategies etc. might help to find risky investments. However, these markets lack the underlying data required to make such judgements with confidence.

So, what tools do we have to limit our risk?

Managed Future or Commodity Trading Advisors at work

The strategy is called trend-following and is in fact one of the largest strategies in the hedge fund space. Hedge funds using trend-following, also called momentum strategies, have existed for over 50 years and have grown to approximately $320 Billion of assets under management.

So we wanted to know, could this strategy be applied to bitcoin trading to replicate a call option?

We applied this simple momentum strategy to the bitcoin market price and chose m arbitrarily as 60 days. We calculated the 60 day return for each day in the past. If the return was positive, we would assume that we would have bought bitcoins. If the return was zero or negative, we assume that we would have not kept a position in bitcoin.

The Result?

For example if the bitcoin market price increased 200% over 60 days, then the momentum strategy made about 200% as well. However, if bitcoin lost 50% in 60 days, then the momentum strategy lost on average only 10%.

Our research shows that momentum strategies from financial markets can be applied to bitcoin trading.

With this strategy, an investor would have participated in the large upside of bitcoin, but not so much in the drawdowns of bitcoin of more than 90%.

The strategy returns similar profits if the bitcoin price moves up significantly, but does not lose nearly as much in a down market. In other words, the strategy returned a similar profit as a simple bitcoin investment, but reduced the risk. In statistical terms, the strategy increased the Sharpe ratio by about 50%.

So What’s the Catch?

First, the investor has to watch the bitcoin market on a daily basis and invest his time. Secondly, his risk is not zero if the bitcoin market sells off, but limited to an average of about 10% and sometimes even higher. Thirdly, the investor does not fully participate in bitcoin if the market price reverses quickly. The investor would sell his position in a sell-off, but would only get back into bitcoin after it has retraced from the low.

Several extensions to this strategy have been proposed. For example, trading several blockchain assets at the same time would improve the investment performance. The most common approach is weighting these investments according to the volatility of each market (see Hurst, Ooi and Pedersen, 2013).

Also, several pitfalls of such a strategy are recorded in financial markets and it remains to be seen if these apply to blockchain asset trading as well.

Viebig, Kallerhoff and Tschunko (2016) showed that these strategies do not fare well, if the market moves sideways, but with a high volatility. In fact, in this research we excluded the time frame of March/April 2014, where bitcoin showed exactly this type of pattern.

This analysis is based only on price data. Future work should incorporate other technical data sources such as volumes and order books to analyse the price movements of blockchain assets. Above that other data sources and maybe even new valuation models will be necessary to trade blockchain assets from a fundamental view.

Conclusion

We applied this strategy to bitcoin as an example and found that this strategy works well. If bitcoin rallied over 200%, this strategy would have returned almost the same. However, if bitcoin sold off 50%, this strategy would have only lost an average of around 10%. This is almost like a call option, where you only participate in the upside of the investment, but on the other hand you have to pay a premium. This premium would be around 10% in our example.

Ideally this strategy is applied on a wide range of different cryptocurrency assets to improve and lower the premium even further. Other strategies to mitigate the risk of investing in cryptocurrencies might be to take a more fundamental approach. However, the detailed and comparable data across cryptocurrencies is not yet available.

Some Exciting News!

Protos Cryptocurrency Asset Management invests in pre-ICO tokens and trades established tokens like bitcoin using advanced quantitative strategies. It’s founders have 13 years combined experience investing in crypto, have managed funds/proprietary investments of over $1B, have founded and sold 3 tech startups for proceeds of 400M and 1 investment bank at a valuation of $250 million +.

Learn more at www.protosmanagement.com

References

Hurst, Brian, Yao Hua Ooi, and Lasse Heje Pedersen. “Demystifying managed futures.” Journal of Investment Management 11.3 (2013): 42–58.

Viebig, Kallerhoff, Tschunko. “Commodity Trading Advisors (CTAs): When do the money machines fail?.” Corporate Finance 05 (2016): 150–161.

Protos Asset Management

Thought leadership in research on crypto-assets.

Philipp Kallerhoff

Written by

Founder at www.protosmanagement.com. Senior portfolio manager and quant in fintech and hedge fund industry. PhD Computational Neuroscience. Singularity U Alum.

Protos Asset Management

Thought leadership in research on crypto-assets. Insights from Protos's investment professionals and decentralised research community. Visit our Github for more: https://github.com/protos-research

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