Primer: Cryptoassets Included in A Diversified Portfolio

Primer: Cryptoassets Included in A Diversified Portfolio

Nov 14, 2023
Primer: Cryptoassets Included in A Diversified PortfolioPrimer: Cryptoassets Included in A Diversified PortfolioVideo Thumbnail

By 21Shares

When one considers investing in a given asset class and subsequently a specific asset – two primary questions should be asked:

  1. What is the investment thesis for this asset class?
  2. What proportion of a portfolio should be allocated to this asset class given current financial goals and constraints?

This primer will provide the answer to the second question (2). At its core, the question is optimal portfolio construction and the risk management of said portfolio for a given set of constituents. For brevity, we will assume the reader understands basic Modern Portfolio Theory but perhaps is less familiar with cryptoasset terminology and will define and expand on concepts where deemed necessary. Our report’s key argument is that adding cryptoasset exposure will lead to superior risk-adjusted investment outcomes precisely due to their unique property of having largely unrelated risk premiums compared to all other asset classes.

Coverage

  1. Correlation of Returns Across Asset Classes
  2. Correlation of Returns During Distressed Times
  3. Portfolio with Different Rebalancing Frequencies
  4. Dynamic Allocation with Blockchain Indicators
  5. Conclusion
  6. Disclaimer

Correlation of Returns Across Asset Classes

In Figure 1, we compare the correlation of returns for several major asset classes, represented by popular exchange-traded funds (ETFs), as well as Bitcoin (BTC) and Ether (ETH). The ETFs chosen represent a variety of asset classes and risk profiles and are as follows:

  • US Equity, represented by SPY – The SPDR S&P 500 ETF
  • Developed Equity, represented by EFA – The iShares MSCI EAFE ETF
  • Emerging Equity, represented by EEM – The iShares MSCI Emerging Markets ETF
  • US Bond, represented by AGG – The iShares Core U.S. Aggregate Bond ETF
  • US Long Term Treasury, represented by TLT – The iShares 20+ Year Treasury Bond ETF
  • Real Estate, VNQ – The Vanguard Real Estate ETF
  • Gold, GLD – The SPDR Gold Shares ETF
  • ARK Innovation, represented by ARKK

Bitcoin’s correlation with major asset classes ranges from 0.00 to 0.27 (excluding Ethereum), similar to what Gold (GLD) offers, ranging from 0.06 to 0.23 from December 12, 2014 to September 30, 2023. This low level of correlation made both assets a vital diversification source for traditional portfolios, which are a mix of equities and bonds. However, there is almost no correlation (0.10) between gold and Bitcoin, making both unique diversification resources for investors’ portfolios.

Figure 1: Correlation matrix

Source: 21Shares. Data from Bloomberg and Yahoo Finance (BTC and ETH). From 31/12/2014 to 30/09/2023

Correlation of Returns During Distressed Times

March 2020 (Covid Crash)

During distressed times, asset classes tend to show an increased correlation between them. The stock market crash and liquidity crisis caused by the COVID-19 pandemic exemplify this pattern. Figure 2 shows that the significant and sudden global event that began in March 2020 and ended in April caused both Bitcoin and gold to undergo a sudden rise in correlation.

Figure 2: Correlation of returns during March 2020 (Covid Crash)

Source: 21Shares. Data from Bloomberg and Yahoo Finance (BTC and ETH)

March 2023 (Banking Crisis)

Bitcoin rallied 23% in March 2023 on the back of a looming banking crisis in the U.S. On March 13, the Federal Reserve had to step in to protect all depositors of Silicon Valley Bank, which experienced a bank run two days before, and of crypto-friendly Signature Bank, controversially shut down by its state chartering authority. Then, on March 19, UBS agreed to buy Credit Suisse in an emergency rescue deal brokered by Swiss authorities. Meanwhile, Figure 3 shows that BTC decoupled from risk assets like stocks and showed an increased correlation to Gold as investors turned to it as a hedge against bank risk.

At its core, Bitcoin is a non-sovereign and global asset that exhibits unique characteristics (trustless, permissionless, and censorship-resistant, among others). Indeed, one of Satoshi Nakamoto's primary motivations for creating Bitcoin was to have an alternative payment system outside central banks' control.

Figure 3: Correlation of returns during March 2023 (Banking Crisis)

Source: 21Shares. Data from Bloomberg and Yahoo Finance (BTC and ETH)

Portfolio with different rebalancing frequencies

We choose a traditional 60/40 portfolio (60% allocated to stocks, 40% allocated to bonds) as the hypothetical benchmark, as it has been a guidepost for the average investor since Nobel laureate Harry Markowitz developed the principles of Modern Portfolio Theory (MPT) in the 1950s. For brevity, we assume the reader has a good understanding of MPT. Then, we backtest adding a 1% and 5% Bitcoin or Ether allocation to said diversified portfolio to understand the impact of a minor allocation to crypto across various performance metrics. Before diving into the results, the reader should be aware that this hypothetical portfolio was developed in hindsight, and past performance is no guarantee of future results.

5% BTC allocation to a simple growth portfolio (60% US Equity, 40% US Bond)

We tested six types of rebalancing strategies by adding 5% constant BTC allocation to a simple growth portfolio (US Equity – 60% represented by SPY, US Bond – 40% represented by AGG): daily, weekly, monthly, quarterly, annually, and no rebalancing. These are the key takeaways:

  • Improved risk-adjusted returns: The inclusion of cryptoassets in the diversified portfolio is noticeable with improved overall performance across all rebalance frequencies, improving annualized return from 6.09% to double digits range (from 10.87% to 27.64%) and enhancing Sharpe ratio from 0.45 to the 1.03 level.
  • Rebalancing is key: However, when adding Bitcoin without rebalancing, overall risk suffers with 48.31% annualized volatility, almost four times higher than the benchmark of 13.51%. The most efficient rebalancing schedule is annual. This strategy has historically proven to be maximizing cumulative returns (313%) and the Sharpe (1.03) and Sortino (1.59) ratios.
  • Timing doesn’t really matter: As investors argue that timing matters in crypto investments, the research showed regardless of when to add bitcoin to their portfolio, 75% of the time, the strategy outperformed the benchmark in the next 1 year, and 100% of the time, the strategy exceeded it in the next 3 years.

Figure 4: Growth portfolio with different rebalancing frequencies (5% BTC allocation)

Source: 21Shares. Data from Yahoo Finance

5% BTC allocation to another simple growth portfolio (60% MSCI World, 40% US Bond)

We also tested six types of rebalancing strategies by adding 5% constant BTC allocation to another growth portfolio (MSCI World – 60% represented by URTH, US Bond – 40% represented by AGG): daily, weekly, monthly, quarterly, annually, and no rebalancing. These are the key takeaways:

  • Improved risk-adjusted returns: The inclusion of BTC in the diversified portfolio was noticeable with improved overall performance across all rebalance frequencies, improving annualized return from 3.52% to double digits range (13.90% with an annual rebalance) and enhancing Sharpe ratio from 0.26 to the 0.84 level.
  • Rebalancing is key: However, when adding bitcoin without rebalancing, overall risk suffers with 50.48% annualized volatility, almost four times higher than the benchmark of 13.30%. The most efficient rebalancing schedule is annual. This strategy has historically proven to be maximizing cumulative returns (256.71%) and the Sharpe (0.84) and Sortino (1.25) ratios.
  • Timing doesn’t really matter: As investors argue that timing matters in crypto investments, the research showed regardless of when to add bitcoin to their portfolio, 80% of the time, the strategy outperformed the benchmark in the next 1 year, and 100% of the time, the strategy exceeded it in the next 3 years.

Figure 5: Another growth portfolio with different rebalancing frequencies (5% BTC allocation)

Source: 21Shares. Data from Yahoo Finance

1% BTC allocation to a simple growth portfolio (60% US Equity, 40% US Bond)

We also tested six types of rebalancing strategies by adding just 1% constant bitcoin allocation to a simple growth portfolio (US Equity – 60%, US Bond – 40%): daily, weekly, monthly, quarterly, annually, and no rebalancing (see next slide). These are the key takeaways:

  • Improved risk-adjusted returns: The inclusion of Bitcoin in the diversified portfolio is noticeable, with improved overall performance across all rebalance frequencies, improving annualized return and enhancing the Sharpe ratio from 0.45 to 0.63.
  • Rebalancing is key: Surprisingly, adding just 1% constant bitcoin allocation also reduced annualized volatility across all rebalance frequencies, except no rebalancing, in which case overall risk suffers with 25.47% annualized volatility. The reduction in annualized volatility to bitcoin’s low correlation to equities and bonds.
  • Timing doesn’t really matter: As investors argue that timing matters in crypto investments, the research showed regardless of when to add bitcoin to their portfolio, 75% of the time, the strategy outperformed the benchmark in the next 1 year, and 100% of the time, the strategy exceeded it in the next 3 years.

Figure 6: Portfolio with different rebalancing frequencies (1% BTC allocation)

Source: 21Shares. Data from Yahoo Finance

1% ETH allocation to a simple growth portfolio (60% US Equity, 40% US Bond)

In addition, we tested six types of rebalancing strategies by adding 1% constant ETH allocation to a simple growth portfolio (US Equity – 60%, US Bond – 40%): daily, weekly, monthly, quarterly, annually, and no rebalancing (see next slide). These are the key takeaways:

  • Improved risk-adjusted returns: The inclusion of Ether in the diversified portfolio is noticeable with improved overall performance across all rebalance frequencies, improving annualized returns and enhancing the Sharpe ratio from 0.19 to 0.27.
  • Rebalancing is key: However, when adding ETH without rebalancing, overall risk suffers with 24.16% annualized volatility, almost double the benchmark of 15.54%. The most efficient rebalancing schedule is quarterly. This strategy achieves the same volatility as the benchmark portfolio while improving the Sharpe (0.26) and Sortino (0.84) ratios.
  • Timing doesn’t really matter: As investors argue that timing matters in crypto investments, the research showed regardless of when to add bitcoin to their portfolio, 70% of the time, the strategy outperformed the benchmark in the next 1 year, and 100% of the time, the strategy exceeded it in the next 3 years.

Figure 7: Portfolio with different rebalancing frequencies (1% ETH allocation)

Source: 21Shares. Data from Yahoo Finance

Dynamic Allocation with Blockchain Indicators

The Case for Market Value to Realized Value (MRVR)

Transparency of public blockchains has proven beneficial to gauging investor sentiment; though transactions are pseudonymous, timestamps and transaction values are visible and humanly readable. This certainly helps shed light on the potential psychology of BTC investors based on their cost basis. As mentioned in a book authored by Morgan Housel, The Psychology of Money, “Investing is not the study of finance. It’s the study of how people behave with money.”

The market-value-to-realized-value (MVRV) is a simple yet powerful blockchain (on-chain) multiple:

  • "Market value" refers to the current value of an asset (market cap).
  • "Realized value" refers to the aggregated cost basis of investors (realized cap). This metric was proposed by Nic Carter and Antoine Le Calvez in 2018. Using the vocabulary of the crypto industry, it is the aggregate value of all unspent transaction outputs (UTOXs) priced by their value when they last moved.

High MVRV values indicate a substantial degree of unrealized profits in the system. In contrast, values below "1" indicate that a significant portion of BTC's supply is near break-even or at a loss. Remember, investing is also the study of how people behave with money. Historically, high MRVR ratios have coincided with BTC market tops, while values below "1" have preceded past cycles' bottoms. BTC's MVRV ratio broke above the "1" mark in January this year. The last time this happened was in March 2020, marking the beginning of the previous cycle's meteoric bull run.

Figure 8: Bitcoin’s Market Value to Realized Value (MVRV)

Source: Glassnode

Here’s how we constructed a dynamic rebalancing strategy based on the MVRV ratio. Our algorithm sets a logic to gradually increase the rebalancing weight towards distress times and vice versa. Here is the breakdown of the MVRV strategy:

  • Monthly rebalance.
  • Benchmark is a 60/40 (60% allocated to SPY and 40% to AGG) portfolio with a 5% constant BTC allocation.
  • Rebalancing: MVRV driven.
  • 90% of the portfolio is allocated to a 60/40 strategy.
  • 10% of the portfolio is allocated to BTC and cash based on the MVRV indicator. BTC allocation is higher when MVRV is at low levels relative to its historical average and vice versa.

As shown in the chart below (Figure 8), with the above strategy, a dynamic allocation strategy driven by the MVRV ratio enhances an ongoing BTC allocation strategy on almost all performance metrics. Annualized return improved by ~8% per year with a similar level of risk; both the Sharpe and Sortino ratios improved, which showed the effectiveness of the fundamental indicator in preserving capital during market downtrends.

Figure 9: MVRV-based dynamic allocation

Source: 21Shares. Data from Yahoo Finance

Conclusion

This report has demonstrated the benefits of allocating a portion of one’s portfolio to Bitcoin and Ethereum through a thorough backtest over history. The core reason is historical evidence that cryptoassets give investors a chance to diversify their portfolios further and maximize risk-adjusted returns. The unique dynamics of the cryptoasset industry ensure that the critical value drivers for Bitcoin or Ethereum bear little relationship to the value drivers of stocks, fixed incomes, or alternative investments. What makes cryptoasset investing considerable is its potential to improve the risk profile by magnitudes. The often-volatile risk profiles of cryptoassets must be judged as just one part of an investor’s whole portfolio. Rebalancing is needed to harvest the risk premium and maintain the portfolio’s risk profile without significant downside risk exposure during distress periods.

Moreover, our study demonstrated the benefits of dynamic allocation in crypto with fundamental indicators like the MVRV ratio. However, theoretical portfolio allocation is only one aspect of the investment process one must go through before investing; this report has purposely avoided associated topics such as valuation, as these are covered in other writings.

Disclaimer

The hypothetical backtested examples herein are provided as illustrative examples only and do not represent the performance of actual client portfolios managed by 21Shares. It is unlikely an account will achieve profits or losses similar to those discussed. There are frequently sharp differences between hypothetical backtested performance results and the actual performance results subsequently achieved by any particular trading program.

Hypothetical performance results have many inherent limitations, some of which are described below. No representation is being made that any account will or is likely to achieve profits or losses similar to those shown. In fact, there are frequently sharp differences between hypothetical performance results and the actual results subsequently achieved by any particular trading program.

One of the limitations of hypothetical performance results is that they are generally prepared with the benefit of hindsight. In addition, hypothetical trading does not involve financial risk, and no hypothetical trading record can completely account for the impact of financial risk in actual trading. For example, the ability to withstand losses or adhere to a particular trading program in spite of trading losses are material points which can also adversely affect actual trading results. There are numerous other factors related to the markets in general or to the implementation of any specific trading program which cannot be fully accounted for in the preparation of hypothetical performance results and all of which can adversely affect actual trading results.

The hypothetical backtested performance which informs our expectations is calculated based on historical market data over the date ranges identified in the Figures above and is based on the following assumptions:

  • The investable universe for the backtest includes SPY (U.S. Equity), URTH (MSCI World), AGG (U.S. Bond), as well as BTC and ETH.
  • The backtest portfolios don’t employ leverage.
  • The model rebalances across different frequencies (daily, weekly, monthly, quarterly, annual, and no rebalance).
  • Performance was calculated using assumptions that all rebalanced model trades executed using the close price of the asset, and the model is priced daily using the closing market price for each asset.  Brokerage expenses are not included in the performance numbers.
  • The performance shown is for the stated time period only.
  • The returns shown assume the reinvestment of dividends and other income.
  • The returns shown do not consider any fees, such as the deduction of management fees and other brokerage expenses that may be incurred in managing an investment account.
  • The returns do not take into account slippage which would have incurred when actual investments are made.

There are numerous other factors related to the markets in general or to the implementation of any specific trading program which cannot be fully accounted for in the preparation of hypothetical backtested performance results and all of which can adversely affect actual trading results.

Our expected returns and expected volatility measures have been based on 21Shares’ backtesting analysis. For the reasons noted above, actual returns would have varied, potentially greatly, from any returns or volatility measures a client would have experienced.

No assurance can be given that the investment objective or target return will be achieved or that an investor will receive a return of all or part of his or her initial investment.

The opinions and predictions expressed herein represent the current, good faith views of 21Shares along with its affiliates at the time of publication, are provided for limited purposes, and should not be interpreted as investment advice. Predictions, opinions, and other information presented herein are subject to change continually and without notice of any kind and may no longer be true after the date of publication. All investing involves risk, including the possible loss of money you invest.