Minimum Variance Portfolio: Choosing the Right Currency
- In a minimum variance portfolio, choosing the right currency for optimisation can have a significant impact on construction and performance.
- Our backtested analysis shows that performances of portfolios using home or USD currencies can vary. Both can be optimal depending on context and client preferences.
- We have developed a third option that achieves a trade-off between the benefits of home currency and international USD optimisation.
The low volatility (or low beta) anomaly is one of the oldest documented deviations from the capital asset pricing model, with the first description usually attributed to Fisher Black in 1972 . These findings were initially received with scepticism and not exploited in the form of an investment strategy. However, since then, investors have accepted the reality of this anomaly and exploit it through a large number of strategies with significant assets.
One such strategy is investing in the Minimum Variance Portfolio (MVP), which is essentially an optimal combination of low volatility equities. One of the questions arising from this approach is the treatment of currency exposures and, in particular, the choice of the currency used for optimisation and its consequences.
In this paper, we review the different options available to investors and their consequences in terms of performance and portfolio allocation, before discussing the appropriate choice in light of each investor’s context.
Currency of Optimisation: What Are Your Options?
Currency volatility is an important part of the volatility of an equity investment. It is clearly a source of risk, but offers diversification benefits as well. As such, it is an important driver in the construction of the MVP, as detailed in . Notably, the choice of the currency for optimisation in the portfolio appears to be one of the most important determinants of the strategy.
There are three options to consider in this context: the investor’s home currency, the dominant currency in the investment universe (usually USD), or considering only local currency returns.
Dominant Currency Optimisation
Using the dominant currency for portfolio optimisation seems a sensible alternative to using home currency. It is usually the recognised set-up for performance comparison purposes, and it is representative of the majority of the investor’s choices.
Usually, USD is the dominant currency, either in the context of global strategies or, by convention, in the context of emerging markets strategies.
Technically, the dominant currency is also the choice for minimising currency impacts without entering into the complexities of the local currency optimisation described in the following section.
Home Currency Optimisation
Considering total risk expressed in the investor’s home currency is theoretically the correct way to build the MVP. By definition, this is the approach that produces the lowest volatility (at least ex-ante) expressed in the investor’s home currency.
The main consequence of this approach is that instruments quoted in the home currency will appear as less risky than others, because of their lack of currency risk. This translates into an MVP with higher allocation to the home currency, effectively reflecting a form of home bias.
Local Currency Optimisation
Some studies (for example, see ) argue for hedging out currency exposure from the investment portfolio by using a local currency optimisation in the context of the MVP, i.e. considering the instruments’ returns in their local currency to assess the covariance matrix.
The main argument for this approach is that there is no premium associated with currency risk; hence, no such risk is worth being taken. The low volatility anomaly is notably always present, independent of whether volatility is considered in local currency terms or in a fixed currency. It is reassuring that the usual economic and behavioural explanations for the low volatility anomaly still hold in local currency terms (For example, see a recent review in ).
The main argument against such an approach is one of additional complexities, the costs of hedging, and the nature and magnitude of currency risk in stocks of large international businesses.
A final argument is one of asset management practice, where equity investors traditionally mostly invest in equities without hedging their foreign investments.
The main argument against local currency optimisation is the additional complexities, the costs of hedging, and the magnitude of currency risk in stocks of large international businesses.
To make an informed decision regarding the currency of optimisation, we empirically tested different optimisation currencies to build theoretical MVPs. We applied a minimal set of assumptions in the optimisation to focus on the specific impact of different currencies of optimisation (see Appendix A).
In the charts below, currencies (eg CAD) refer to the currency of optimisation. ‘LCL Optimised’ refers to the optimisation in local currency, hedged in USD. The MSCI Global (ACWI) is the reference index but we also include the MSCI Global Minimum Variance index (MSCI ACWI MV) as an additional comparator.
Figure 1: Statisitics (Annualised)
Figure 2: Historical Tracks
Figure 3: Annual Performance
The MVP in home currency is the one with the lowest realised volatility, and in every case, MVP realised volatility is lower than the reference index.
Several results are worth commenting on:
- Realised volatility is consistent with expectations: the MVP in home currency is the one with the lowest realised volatility, and in every case, MVP realised volatility is lower than the reference index.
- Realised performance varies, with outstanding results from USD-based optimisation across the board. Part of this outperformance is attributable to the US bias of these MVPs (22% in USD Optimised versus on average 7% in others), and the significant outperformance of the US market in the period under review (US performance was 116% in the period while the global performance was about 89%). While informative, this anecdotal outperformance should not be the rationale for a simplistic choice.
- Regarding allocation, portfolios that use different optimisation currencies remain quite similar in terms of sector and country allocations, with the exception of notable home biases (see Appendix B and C).
- Finally, a significant distinction must be made in home currency optimisation between defensive currencies (CHF and JPY) and more cyclical currencies such as CAD. Optimising in defensive strategies may lead to very defensive portfolios, while using cyclical currencies may detract from the dominant defensive characteristics of the MVP approach. This is visible in the level of participation in the table below. As such, home currency optimisation in the case of cyclical currencies may prove less effective.
Figure 4: Participation Ratio
Discussion: Unigestion’s View
While we recognise the theoretical efficacy of local currency optimisation, the costs and complexities associated with hedging and the uncommon nature of the approach make it impractical. Furthermore, empirically, we see no particular support for this approach in terms of risk or performance.
Beyond the performance difference between home currency and dominant currency optimisation, the main difference consists in the incorporation of some home bias in the home currency version. On the one hand, holding everything else constant, as a rule of thumb, we tend to promote home currency optimisation if the investor is looking for a global investment solution. This has two major benefits: achieving a truly MVP in the currency of evaluation, and reflecting, in a rational, risk-based way, the natural home bias of the investor.
On the other hand, if the investor is looking for an international investment solution (i.e. excluding the home bias), we would advise USD optimisation. Here, the associated benefits include the comparability of the results, as well as avoiding both over-representing the home country, and the potentially detrimental interaction between the defensive nature of the MVP approach and the potential cyclicality of the home currency.
Unigestion has developed capabilities to control the home bias and achieve a trade‑off between home currency optimality and consistency with international USD optimisation.
In practice, Unigestion has developed capabilities to control the home bias and achieve a trade-off between home currency optimality on the one hand and consistency with international USD optimisation on the other. This approach consists of anchoring the home currency optimisation to the USD optimised portfolio through a tracking error budget between both portfolios. Our research indicates that the key improvements in long-term characteristics are maintained, while periods of short-term underperformance that can arise due to differing currency allocations are significantly mitigated.
Figure 5: Unigestion‘s Approach to Home-bias Control
The right choice should be driven mainly by client-specific context and expectations. Past performance alone should not be given too much importance.
Currencies and their treatment in investment strategies are always a sensitive and complex topic. Definitive solutions are elusive, and usually very specific to each investor. This problem takes centre stage in the case of the MVP portfolio, given the importance of the optimisation currency in the process.
We have shown that several solutions are available to investors, but that the right choice should be driven mainly by client-specific context and expectations. Empirical results are a helpful guide to take this decision, but past performance alone should not be given too much importance.
Finally, the majority of the dominant drivers of performance, such as styles (low volatility, quality) and sector allocation remain similar, regardless of the optimising currency. As noted in , overlaps between portfolios remain high as well. Consequently, the long-term expectations for the different solutions remain quite similar, and appear to be compelling investment solutions.
Appendix A: Backtest Assumptions
- Period: 31/12/2006 to 30/06/2019
- Position threshold: 10 bps
- Max weight per stock: 5%
- GICS LI max allocation: 30%
- AUM assumption: USD 3 bn flat
- Tracks are all calculated in USD for comparison purposes.
Appendix B: Country Allocations
Appendix C: Sector Allocations
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