Advances in automation accelerate the trend started by the globalization – higher total factor productivity and GDP growth combined with low incomes and unemployment. As it turns out, our return expectations are not aligned with these realities of today.
Return assumptions for the largest and most liquid asset classes are the key inputs in any asset allocation exercise and consequently pretty much determine the outcomes. The fact that these assumptions are critical and should be carefully examined is now fully acknowledged. It is also understood that these assumptions should be consistent. But consistent with what? The usually taken path is to build expectations consistent with actual history: average historical P/Es and mean reversal assumptions, for instance, can be a basis for calculating expected equity returns. Average yields over the last ten years could help build expectations about the yield levels in the future.
Historical consistency, however, comes at a price. What if historically consistent returns are inconsistent with today’s facts? This is very much the situation we find ourselves today. There have been expectations of rising yields for years now – expectations that have to date caused downfall of illustrious careers. However, yields have remained stubbornly low, even continued to decline. Margins and returns on capital in the U.S. are uncharacteristically and stubbornly high, but so is the unemployment rate (by historic standards at any rate). Making sense out of all this requires consistency not with history, but with today’s realities: the world has changed (as it always does) and expectations should change with it.
One such expectation is higher interest rates – the ever unsuccessful attempt to find that elusive “normal” level of rates. We demonstrate how (and why) yields may continue to fall and sustain even negative levels for a considerably long period of time. Our point of departure is the Graham Risk framework – the cross-asset valuation and risk framework used by LINKS (a complete description and a sample interactive spreadsheet available here).
Author: linksweb
Oil Fatigue: Never Strong Again?
The US economy, in its permanent quest to achieve energy independence, has driven itself into yet another unsustainable state. Counterintuitively, allocating to commodity and oil exporting emerging market equities and debt might just prove to be the winning strategy going forward.
So much of the present investment policy status quo depends on the commodity prices that the implicit assumptions about the current doldrums in the commodity markets continuing for longer period affects long-term asset allocation. Among other things, this assumption has an impact on equity allocation to the emerging markets, high-yield credit allocation in the US, alternatives, infrastructure – you name it, it all depends on what one believes about the commodities, and particularly the oil price.
In our 2011 Global Systemic Risks review we wrote: “…despite higher production (non-OPEC countries) spare capacity in OPEC countries and falling consumption by non-OECD countries the oil price continues to go up. We explain this by the significant impact of the long positions in oil by financial institutions. A further slowdown in the global economy and oil demand will shift the long interest into short interest and cause large price swings. This will dampen the appetite of institutional investors and cause a period of very low oil prices ($20-40 per barrel).”.At the time of course the $ 20-40 range was career-threateningly far from the current price and the anchoring level. That range was eventually breached, partly due to the reasons we expected, and partly due to things that at the time were hard to predict. The drastic change in the oil price level shifted a number of dependencies in the global economy. In this issue of the Risk Wire we assess the supply chain impact of the current low oil prices on the US economy and propose reasons for the unsustainable low-price regime.
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Deflation Across Industries
Falling prices of commodities have been passed through the supply chains to most industries with varying effects. Industries that are more consolidated and manage to keep the output prices stable enjoy higher margins, whereas more fragmented industries see output prices falling quicker than raw material prices. The overall picture is unfortunately negative for equities and equity-linked asset classes.
Do Pension Funds Know Their Cost of Liquidity?
The conventional wisdom suggests that pension funds have ample liquidity, and therefore can use it to harvest illiquidity premium – excess return due to low liquidity. But while measuring the available excess return by asset class is relatively easy, it is much harder to assess whether that excess return adequately compensates the fund for giving up liquidity. As it happens, the required compensation for giving up liquidity is sufficiently high to rethink asset allocation.
For some time now LINKS have been advocating a more structured and thorough approach to liquidity management at pension funds at the portfolio construction phase. Presently, liquidity is managed at best by holding a certain proportion of the portfolio in the most liquid government paper. Ontario Teachers’ Pension Plan (OTPP) describes the liquidity management with one sentence: “We manage the risk of not having sufficient cash on hand to meet current payments to plan members by holding at least 1.25% of the plan’s assets in unencumbered Canadian treasury bills”. At worst, liquidity management is left to treasury/accounting.
This attitude is not surprising, given the perceived ample liquidity that pension funds possess. Yet, with changes in banking regulation that make long duration assets more expensive, banks turn more and more to pension funds for liquidity provision. Moreover, most asset classes have sub-categories that are less liquid, but promise higher return, such as emerging and frontier markets in equities or high-yield or mortgage-backed securities in the fixed income universe. The question is: just how much excess liquidity does a pension fund have and how much should it be compensated for giving it up? In other words, what is a hurdle rate of liquidity?
To be clear, the answer to this question does not entail estimating the liquidity risk premiums for different asset classes. These estimates are broadly available for most assets however by themselves they do not answer the posed question. Is 1.5% liquidity risk premium of infrastructure investments sufficient to compensate pension funds for locking their cash?
Is Demographics a Threat to Equity Returns?
The U.S. equities by all standards and measures are not dear: both the supply side in terms of sustainable ROEs and the demand side in terms of savings, leverage and inflation shocks are supportive of the current pricing. It is, however, hard to ignore the potential impact of demographics.
A number of years ago the first place we looked to try and explain the historical levels of equity risk premium was demographics. The choice seemed natural at the time: the greater the proportion of older people, the greater the risk aversion and preference for fixed income investments. Despite months of empirical work, however, we failed to find any reliable relationship between the various demographic factors and equity risk premia. LINKS then went on to base the ERP studies on the factors that did exhibit strong empirical relevance: savings rate, leverage and inflation surprises.
As it happens, we did not rid ourselves of the need to think about demographics. As summer of 2015 approaches and the S&P 500 has added a whopping 140% since the low level in 2008 (Figure 1), the question of whether the valuations have become unsustainably high still depends on our understanding of demographics. More specifically, it depends on the elusive link between aging and the savings rate. After all, historically low levels of volatility are yet another reminder of the danger of complacency: the degree of integration of the pro-cyclical nature of volatility with the investment processes of principal investors today is even greater than in 2008.
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Global Systemic Risks Review
This year’s Global Systemic Risks review is transitional. Driven by the advent of the social media, tools and technologies involved in network analysis are among the fastest developing fields in information technology. We believe that this year’s report is in a transition phase between discrete annual research that we used to carry out in the past few years and a continuous, powerful and flexible network research framework that will take its place in the near future.
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Download Global Systemic Risks Review 2013
Download Global Systemic Risks Review 2012
VBA ALM Conference in Amsterdam
The annual ALM Conference organized by the VBA this year was held in Amsterdam and was dedicated to changes in pension regulation and their impact on Asset-Liability Management. Taron Ganjalyan, the Managing Director of LINKS presented research on potential unintentional impact of multiple regulations titled “How Doing The Right Thing May Be Wrong: Regulation, Reflexivity and Markets”.
The presentation is available from the website of the organizer or can be downloaded directly
Global Systemic Risks 2013 Review
It appears that asset bubbles have become the most potent instrument in the hands of the governments in their efforts to generate the elusive growth rates, and not just in the developed economies. The overriding theme of this year’s Global Systemic Risks review is the government policies that trigger, and in many cases foster, asset bubbles – self-perpetuating price or turnover increases in parts of the economy that create imbalances elsewhere.
The 2013 review includes two new sources of risk: the extraordinary rise in capital expenditure by global utility companies and the Japanese government debt, along with sources of risk that were covered last year: civil aerospace, the financial system in China and the U.S. farmland. Combined, these asset bubbles add over $ 4 trillion worth of “hot air” to the world economy. But above all, they create unsustainable imbalances in dozens of industries and are likely to cause significant wealth destruction if not timely deflated.
Needless to say, there are plenty of intricate linkages between all the risk sources that in combination serve as scaffolding for the world economy. The same industrial conglomerates supply capital equipment for the utilities, transport and infrastructure projects in China and aircraft engines for the aerospace industry. The same few banks that hold large part of the Japanese government debt or Farm Credit Funding bonds attempt to place parts of the project finance business in the market for the institutional investors. A clear view of these linkages and how they impact the true economic risks of institutional portfolios must be a key component of forward-looking strategic risk management efforts of principal investors.
The Long View: Three Fallacies of Risk Parity
In a space where innovation is kept at bay, and orthodoxy and simplicity are appreciated by investors and encouraged by the regulators, risk parity as a concept has made remarkable inroads. Neither modern portfolio theory, nor asset-liability management or even liability-driven investing has had a comparable pace of adoption, and understandably so.
To begin with, funds following risk parity in their asset allocation have done reasonably well in the past, and although market regulators stipulate a disclaimer that past performance is no indication of the future, it only applies to private investors, while the sophisticated institutional investors may choose to believe that past track record deserves the benefit of doubt.
Of course, there is also the strong fundamental underpinning of risk parity: we cannot comfortably predict asset returns (plenty of evidence of that), and since different asset classes have different degrees of volatility, why not allocate funds in a way that they contribute the same amount of risk. Although, in principle, the resulting allocation is not optimal in the modern portfolio theory (MPT) sense, this is not an impediment, since none of the dominant pension fund asset allocation methodologies is optimal in the MPT sense.
The fact that risk parity manages to avoid return assumptions is indeed a very strong argument in favor of the methodology. Pension funds are all too familiar with more or less arbitrary return assumptions used in the conventional ALM processes. So the combination of sound fundamental basis and a good track record ought to convince and silence any skeptic, were it not for the three theoretical fallacies at the core of risk parity, which lead to one practical and very serious hurdle.
Fallacy 1: Volatility is not identical to risk. It is sensible to allocate funds in a way that they contribute the same amount to risk. In practice, volatility is used as the single measure of asset class risk, with an unintended but significant consequence: it makes asset allocation pro-cyclical. In such a setting, a core asset class, such as equities, will have a higher allocation when volatility is low and lower allocation when volatility is high. Of course, high volatility is observed in conjunction with sharply lower equity markets, while low volatility corresponds to higher equity markets. This means that a fund following risk parity approach is forced to buy equities expensive and sell cheap.
A counterargument here is that risk parity funds rebalance asset exposures very quickly, thus being “ahead of the volatility spikes”. But this begs the question whether the process is significantly different from momentum trading.
Fallacy 2: Leverage changes the distribution of asset returns. We may be, albeit reluctantly, persuaded to accept volatility as a single measure of risk. However, the next step in the process is to apply leverage to the fixed income portfolio in order to be able to achieve equity-like contribution to volatility. But the very fact of applying leverage changes the shape of distribution and introduces fat tails, which renders the already shaky use of volatility even more questionable. To put it simply, when we introduce leverage to the fixed income portfolio and achieve risk parity, in reality we have achieved volatility parity, not risk (of loss) parity. In fact, the more we try to achieve volatility parity, the farther removed we are from risk parity.
Fallacy 3: The relationship between asset returns and inflation is complex and unstable. Certain interpretations of risk parity imply asset allocation that achieves equal contribution of macroeconomic risks, i.e. growth and inflation. Asset classes are bundled together into groups that have similar behavior in various growth and inflation environments. The unit of risk measurement is still the volatility. However, the main added assumption is that various asset classes have clear and unambiguous return patterns in various macroeconomic environments.
There is very little evidence of such clear patterns in practice. Although, theoretically, asset returns (of any asset) should hedge against inflation, in many countries the relationship between inflation and equity prices is negative[1], while in the UK, for instance, this relationship was positive. To complicate things even further, Hoesli, Lizieri & MacGregor[2], armed with more complex econometric models, have shown that in principle, asset returns are negatively correlated with short-term unexpected inflation, but positively correlated with long-term expected inflation. Overlaying this insight over the short-term trading portfolio of a typical risk parity fund one may conclude that the portfolio may be appropriate for the long-term but suffer in the short-term or the other way round. Clearly, there is very little conclusive relationship to build a robust process on.
In the end, a lot of theory above is just that – a competition between various incomplete abstract and autistic models that are inevitably too far from reality. Investors should not really care about these inconsistencies so long as the resulting portfolio appears to be sensible. Unfortunately, this latter hurdle proves to be the most severe for risk parity advocates: armed with decades of experience in financial markets, investors are reluctant to commit significant funds to fixed income assets. This is perhaps the simplest, yet the strongest argument against risk parity: building leveraged positions in assets that have done so well for so long and are backed by near insolvent entities seems just not sensible enough. Never mind the theory.
Inflation,” Journal of Finance 34(3), 743-749.
Zeroing in on the Structural Break
Despite what historical volatility levels suggest there is a significant structural break in equity markets that is not gauged using standard financial mathematics.
Emotions and intuition should not be part of the professional capital market environment. This much has been pointed out and agreed upon by market participants and academics alike. And yet we were given that mysterious shortcut generating machine by Mother Nature for a purpose. Is not that purpose to protect us from our seemingly rational reasoning?
The analysis involving standard measures is guilty of the most common mistake in finance: using a mathematical expression without defining what it is meant to measure. The true amplitude of index change in a unit of time in the past decade, which volatility apparently fails to capture, is the highest ever recorded in history, or at least for the 140 years of available data.
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