Showing posts with label Nassim Taleb. Show all posts
Showing posts with label Nassim Taleb. Show all posts

Sunday, 18 February 2018

Macro and Credit - Structured Criticality

"Bright light is injurious to those who see nothing." -  Prudentius

Looking at the relief rally that followed the tragedy that followed the "first to default" wipe-out of large swaths of the short volatility complex and given that we think that a large part of the continuation in the rally in equities is supported by the $171 billion in YTD stock buyback announcements, when it came to selecting our title analogy we reminded ourselves of "Structured Criticality" which is a property of complex systems such as financial markets. In complex systems such as financial markets, a small event may trigger larger events due to subtle interdependencies between elements. In our previous conversation we mentioned the pile of sand analogy with the additional grain of sand that triggers the avalanche as per the demise of the "first to default" or equity tranche short-volatility complex in the capital structure (or cone shape) of financial markets. Though the pile has retained its shape following the avalanche which has caused some number of grains to slide down the side of the cone (short volatility funds blowing up), it is nearly impossible to predict if the next grain of sand will cause an avalanche and where this avalanche will occur on the pile and how many grains of sand will be involved (risk parity, vol control products?). However, the aggregate behavior of avalanches can be modeled statistically with some accuracy. For example, some can reasonably predict the frequency of avalanche events of different sizes. The avalanches are caused when the impact of a new grain of sand is sufficient to dislodge some group of sand grains. If that group is dislodged then its motion may be sufficient to cause a cascade failure in some neighboring groups, while other groups that are nearby may be strong enough to absorb the energy of the event without being disturbed. Each group of sand grains can be thought of as a sub-system with its own state, and each sub-system can be made up of other sub-systems, and so on. In this way you can imagine the sand pile (or financial markets) as a complex system made up of sub-systems ultimately made up of individual grains of sand (yet another sub-system). Each of these sub-systems is more or less likely to suffer a cascade failure. Those that are likely to fail and reorganize can be said to be in a critical state. Put another way, the likelihood that any particular sub-system will fail (or experience a particular event) can be called its criticality. So then, the pile of sand (or financial markets) can be viewed as a network of interconnected systems, each with its own criticality. The relationships between these groups impose a structure on this network which has a profound effect on the probability and scope of a cascade failure in response to some other event. In other words - structured criticality. Given most buybacks have been funded by debt, we wonder when the next grain of sand will trigger the next avalanche. For now the complex system is benefiting from an unhealthy support coming from the flurry of buybacks announcements we think so caveat emptor ("let the buyer beware") with U.S. stocks recording the strongest weekly performance since at least 2013.

In this week's conversation, we would like to look at how volatility is the enemy of leverage and the on-going repricing of financial markets including volatility forcing markets to re-adjust to a loosening of financial repression and what it entails. There are as well many young market practitioners today that have never traded through a rising rates environment or seen what renewed inflationary pressure means for risky asset prices. 


Synopsis:
  • Macro and Credit - Volatility is the enemy of leverage
  • Final charts - US Dollar ? Twin deficits and inflation matter

  • Macro and Credit - Volatility is the enemy of leverage

As we pointed out in our previous conversation "Harmonic tremor", the regime change in volatility and the effect of "Who's Afraid of the Big Bad Wolf?" aka "inflation expectations" thanks to rising wage inflation expectations have already claimed the small fishes such as some players in the short volatility leveraged and crowded complex. Leverage and rising positive correlations not only reduces the benefit from diversification but the jump in global risk premiums meant that the sell-off episode has shown us that this time was indeed different in the sense that what could be seen as "antifragile" havens in a true Taleb fashion such as US long bonds, gold and Swiss franc did not played their defensive purposes, only cash mattered, or having had sufficient downward protection strategies in this small avalanche that clearly put into the limelight the brewing instability in market structures. 

Whereas recently the markets have rebounded significantly thanks to the impressive support from additional buyback announcements, one should clearly be wised in  trying to understand the "Structured Criticality"  and vulnerabilities which have been highlighted by the VIX episode. The anomaly was obvious to many, namely that financial repression has led to volatility being repressed beyond anything reasonable thanks to central banking intervention. Repricing was way due for a reality check and of course as one might correctly opine, volatility is always the enemy of leverage (ask LTCM). It should not come as surprise therefore with the return of volatility to a more normal stage to see Global Macro Hedge Funds staging a comeback. As we pointed out in our November 2012 conversation "Why have Global Macro Hedge Funds underperformed", the main culprit was the lack of volatility. 

Obviously the biggest question following the "repricing" of volatility to a more "normal" state after many years of "financial repression" led by central banks is the risk in the change in the narrative we warned about in so many conversations. This is leading to unpredictability making a return into what have been "predictable" markets for so many years. On this subject we read with interest Deutsche Bank's Special Report from the 16th of February entitled " Undoing the unstrange  - The problem of re-emancipation of the markets" which we think is a great illustration of the change in the narrative we are seeing first hand:
"After years of calm and predictable markets, suddenly there seems to be many things going on at the same time. As recently as early January, the incoming vol supply could not find a buyer as vol selling and carry trade remained the dominant themes. This changed practically overnight as rates broke through significant technical levels, which triggered a spike in gamma, which quickly spread across all market sectors. With every new installment of stimulus unwind, it seems as if things are moving in reverse, but not to where we left them, rather towards what appears to be an unknown and unfamiliar destination. This is proving to be a highly unconventional tightening cycle and recovery. After years of forced hibernation, brought about by suspension of traditional trading rules by the central banks, the markets are facing a painful process of re-emancipation. This is causing considerable confusion and anxiety. Last time we saw a recovery from a conventional recession was about 14 years ago (for many, this is longer than their entire professional career). Things are different this time. Both the 2008 financial crisis and subsequent policy response were highly unconventional, and therefore there is no reason to expect that recovery and unwind of the policy response should be conventional either. We believe that the following three observations summarize the ongoing complications associated with stimulus unwind and the conflicts they create in the context of economic recovery.
1) Unwind of stimulus is a mirror image of the QE trade. It is a de-risking mode and, as such, it goes against the grain of recovery. This is in sharp contrast with conventional unwind of the recession trade, which is the risk-on mode.
2) Risk is asymmetrically distributed between rates and risk assets. There are two distinct paths to higher rates (through higher real rates or wider breakevens). They mean two different things for bonds and stocks. For bonds, the distinction between these two paths is a matter of degree between a mild and a moderate selloff. For equities (and USD), on the other hand, the effect is binary – it means a difference between a modest rally and a substantial selloff.
3) Volatility plays an essential role in the policy unwind. It is one of the key decision variables in the process of portfolio risk rebalancing -- higher volatility causes complications. However, unlike traditional recoveries, which are collinear with the unwind of the recession trade -- and, as such, volatility-reducing – the unwind of financial repression is withdrawal of convexity supply and a vol-enhancing mode.
The main diagonal: Conventional recovery from a conventional recession
To visualize the problem, we start with a figure that illustrates how recoveries from conventional recession used to play out in terms of the interplay between yields and equities. We start at point 1: Recession typically begins with a steep decline in risk assets and allocation to bonds. Monetary policy intervenes with rate cuts, which slows the selloff in risk, with rate cuts continuing until the economy stabilizes and the market turns around (2).
The recession-recovery path in the figure moves along the main diagonal (between the 1st and 3rd quadrants) -- recovery is a mirror image of the recession. As the defensive position (long bonds/short risk) is rebalanced, it moves the market naturally into the risk-on region (3) with more aggressive allocation to risk assets and underweight in bonds continuing typically until rate hikes slow the rise in equities (4). Unwind of the recession trade (in the conventional setting) goes along the grain of the market trade – its inertia leads naturally into the recovery trade. Because of this, past recoveries have been generally accompanied with lower volatility.
The agony of the off-diagonal: Rise of the unconditional
The current policy unwind is qualitatively different from traditional recoveries. The underlying complications can be traced back to the later installments of QE, around 2011, which signaled the beginning of a new regime of market functioning, an utterly new mode rarely seen to persist beyond transient episodes. The figure illustrates a longer history of the three assets in question, USD (in terms of TWI index), S&P levels and 10Y UST yield, indexed to their Jan-200 levels.
The letters S and W stand for strong and weak. Typically, stocks, bonds and currency cannot all rally at the same time for a prolonged period of time. Generally, they support each other conditionally: For two of them to rally, one has to sell off (and the other way around). This is seen in the picture during first decade of this century. 2011 signals a structural shift to a new regime: Between 2011 and 2016, the three assets supported each other unconditionally – they rallied simultaneously. This was a result of continued QE against the background of threat of sovereign risk overseas, which created positive externalities for both USD and US stocks, and it represents the other side of the state of exception created by the extended influence of central banks.
This outlines the essence of the problem of policy unwind. While central banks actions and the market environment had clearly created optimal conditions where, for many years, every asset class made money at the same time, the natural question one had to ask is: What to expect after that? If unwind of the stimulus is its mirror image, where does one go when everything sells off?
Monetary policy pharmakon of why does it hurt when we unwind?
The figure below illustrates the recession-recovery path post-2008. It starts, as usual, with a selloff in risk assets and a rally in bonds (1 & 2), but as the crisis deepens and QE gets deployed (3), the action moves (and stays) on the off-diagonal where both bonds and equities rally. Unwind of QE now becomes essentially a de-risking move -- it goes against the grain of recovery.
Currently, we are heading towards point 4, beginning to catch sight of the bifurcation point (5) from which the market could either sink into the “stagflationary” trap (6: everything: stocks bonds and currency, sell off) or move to the 1st quadrant if the Fed and Congress manage to engineer a turnaround and we get catapulted towards what looks like a traditional recovery. This is the biggest challenge for the Fed at the moment, which is further complicated by the ongoing rise in volatility. This complication, which appears to come naturally in this context, is further amplified by the Fed’s negative convexity exposure to inflation.
Inflation is producing an Icarus effect: Although negative convexity of inflation is a far OTM risk, it is significant even at remote distances from the strike, due to its enormous size. The accumulation of relatively illiquid long-dated bonds on retail balance sheets is at toxic levels and a substantial rise in inflation, to which there is no adequate policy response, could threaten to trigger a bond unwind that the market would be unable to absorb.
Locally, the main problem for risk assets is a rise in real rates: Having UST bonds with strong dollar or high real yields will be more attractive than holding US stocks, which means accelerated de-risking and higher volatility in the stock market. Higher inflation, on the other hand, would be supportive for equities and could cause another leg of selloff in bonds. What complicates things is that the behavior of real rates at this point is also a function of expected inflation: Higher inflation warrants a more hawkish Fed and therefore pricing in higher real rates. The reaction of stocks is a non-linear function of inflation – although risk assets might “like” higher inflation, this would remain true only up to a certain point.
Unwind of financial repression: Volatility is the key variable
Traditional recoveries have not been very sensitive to volatility behavior. In fact, volatility showed a tendency to decline in those cases. This follows almost automatically because of collinearity of recession unwind with the risk-on trade. The role of volatility in the current context is a novelty. An exit from almost a decade of financial repression has another dimension defined by volatility. This is a consequence of both the nature and the duration of the stimulus and subsequent  addiction liability that central banks run at the moment. The subsequent three figures illustrate how volatility enters the play during different stages of stimulus and its withdrawal.
Step 1: The recession starts at elevated volatility levels. The solid line represents the efficient frontier of a portfolio on the risk-return plane. Changing the risk causes a repricing of the frontier. This is shown by the dashed lines which reflect the levels of the existing market volatility. The two-sided arrow represents the risk limits of a given portfolio. This is kept constant through different stages of rebalancing. For a given risk limit, one finds a place on the frontier that fits inside the dashed lines (“VaR limits”).

Step 2: Response to crisis through QE consists of constraining the rates at the long end and therefore reducing the market volatility. As volatility resets lower, investors can afford to move further out along the risk curve until their risk limits are compatible with new volatility levels. This is the asset misallocation trade (one does things that one regrets later). This persists for years after the initial decline of volatility from crisis levels in late 2009. The new position is shown with the red double-sided arrow (the initial one is shaded).

Step 3: Unwind of stimulus and Fed exit is also a withdrawal of convexity supply. This implies higher volatility, which means that the prior portfolio is now operating above the risk limits. As a consequence we have a risk rebalancing towards the left (point 3 or the green arrow).

In the subsequent months, a particular pattern of volatility, in terms of its breakdown across different assets, will determine the mode of risk rebalancing. In that context, volatility will play a decisive role in determining the success and timing of the recovery and a particular economic trajectory.
Trades
Money market repricing
Inflation or no inflation in the short run, with continued push towards easy fiscal policy, financial conditions are unlikely to tighten. In that context, inflation risk could become more acute than currently perceived. At least, this is what history  would suggest. When markets operate close to full employment, further easing of financial conditions could create an explosive response in the economy. In that environment, the Fed is likely to stay the course and continue to hike, especially in light of the realization of the actual threat of inflation getting out of hand. In the meantime, the question is more about the Fed path rather than about its stance. A possibility of frontloading some of the hikes implies a flattening between the red and green sectors of the money market curve. This mode is not yet being priced in by the curve and vol. We are buyers of conditional bear flatteners at the short end of the curve." - source Deutsche Bank

As we pointed out in our previous conversation, there lies the risk ahead for financial markets when it comes to "inflation expectations", "realized inflation" could prove to be a significant grain of sand in terms of "Structured Criticality" particularly with a potential acceleration in trade wars and geopolitical exogenous factors coming into play (both are bullish gold by the way):
"Believing that the spread between implied and realized volatility would persist has indeed been a dangerous proposal with rising positive correlations. In similar fashion believing that "implied inflation" could persist remaining below "realized inflation" could become hazardous in the coming months, particularly with growing geopolitical exogenous risks around. Whereas QE was deflationary, QT could prove to be inflationary but we ramble again..." - source Macronomics, February 2018
Also, what we re-iterated in our conversation "Who's Afraid of the Big Bad Wolf?", with inflation, the only issue is when the "Inflation Genie" is "Out of the Bottle" as warned by Fed's Bullard in 2012, it is hard to get it back under control:
“There’s some risk that you lock in this policy for too long a period,” he stated.  ”Once inflation gets out of control, it takes a long, long time to fix it”
As pointed out by Christopher R. Cole, CFA from Artemis Capital Management latest note entitled "Volatility and the Alchemy of Risk - Reflexivity in the Shadows of Black Monday 1987",  the rise of the Big Bad Wolf aka inflation was what started a liquidity fire in credit that spread to equities before the 1987 volatility explosion. As we pointed out in our recent musings, when it comes to "Structured Criticality", for a "bear market" to materialize, you would indeed need a return of the Big Bad Wolf aka "inflation", being probably one of the most dangerous grain of sand around when it comes to "avalanches" in the conic structure of financial markets we think. If volatility is the enemy of leverage, then again, inflation is the enemy of volatility. 

If indeed as pointed out by Christopher Cole, volatility is the brother of credit and volatility regime shifts are driven by the credit cycle, we have yet to see in earnest a significant tightening in financial conditions, yet from the buybacks frenzy to the current M&A craze, everything points towards a late credit cycle in our playbook. Yet when it comes to pressure on credit spreads, as seen during the energy crisis with the fall in oil prices leading to the blow-out in credit spreads, things can turn "south" as for the short-vol sellers faster than a rat on roller skates. What we think is of interest is that finally the much vaunted "Great Rotation" by some sell-side pundits, has finally somewhat started to materialize slowly in terms of fund outflows but this time where all the "fun" has been running thanks to low volatility and low interest rates, namely in the bond markets thanks to "goldilocks" environment enabling the "beta game" for the carry tourists. Fund outflows also point towards "Structured Criticality" in the sense that the shape of the conic structure in credit has been heavily skewed in recent years by the significant inflows into corporate bonds including the ETF complex. On the subject of fixed income outflows and the growing importance of the ETF complex we read with interest Bank of America Merrill Lynch's take from their Situation Room note from the 15th of February entitled "Position reduction":
"Following the recent equity market correction and equity and rates vol spike, investors reduced positioning in risk assets across the board this past week ending on February 14th. Outflows from equities continued for a second week at $3.55bn from $29.54bn. US-domiciled high grade bond funds and ETFs reported the first weekly outflow since December 2016 at $1.52bn, following a $5.28bn inflow the week before. HG funds had an outflow of $0.28bn after an inflow of $4.54bn, and HG ETFs had a $1.25bn outflow – highest since June 2013 – following a $0.74bn inflow one week earlier. Short-term HG held up comparatively well with an inflow of $0.12bn, down from $2.15bn the week before, while HG outside-of-short-term lost $1.65bn after gaining $3.13bn the prior week.

High yield also experienced a flows exodus of $6.33bn – the second highest weekly outflow on record – after a $2.34bn outflow the prior week, with HY funds and ETFs losing $3.58bn and $2.75bn in redemptions (-$1.37bn and -$0.97bn one week ago), respectively. Leveraged loans also had an outflow of $0.27bn from an inflow of $0.50bn the week before. Global EM reported an outflow of $2.87bn following an almost flat prior week of $0.02bn inflow. Outflow from munis accelerated to $0.66bn from $0.47bn, while inflow to money market funds slowed to $0.02bn from $27.80bn. Mortgages experienced a $0.18bn outflow following a $0.08bn inflow one week ago. On the other hand, government bonds continued to report decent inflows at $1.73bn this past week following a $1.75bn inflow the week before. The net effect on the all fixed income category was a significant $8.21bn outflow from a $4.02bn inflow a week earlier.

IG ETFs vs. bond funds
ETFs are becoming increasingly important vehicles in fixed income and inside we provide a discussion of trading volumes relative to the IG corporate bond market. Today we fielded a number of questions about yesterday’s record ~$924mn outflow from the largest IG corporate bond ETF (LQD) and whether we are concerned about it. We are not as, while the importance of ETFs in IG credit is growing, they are still relatively small. About 20% of US corporate bonds (IG+HY) are held by bond funds and ETFs (Figure 13), which applied to the size of the index eligible IG market comes out to $1.27tr.

However, we estimate that ETFs hold only $190bn of IG corporate bonds, or 2.9% of the market (Figure 16). Hence bond funds – not ETFs – are the elephant in the room as they hold more than six times as many IG corporate bond assets relative to ETFs. Even with the more recent shift to passive investment (see piece below) inflows to HG bond funds were four times ETF inflows in 2017.

The particular ETF in question (LQD) had about $34bn of assets – or 0.5% of the size of the IG market - before suffering a 2.6% outflow, which is a drop in the bucket. This ETF has suffered outflows all year totaling about $4.7bn as bond prices declined (entirely due to higher interest rates as credit spreads are flat on the year), which is normal (Figure 11).

However, we estimate that high grade bond funds and ETFs overall (a category that includes LQD) have seen inflows of $47bn this year. Hence the big story is one of very large inflows as opposed to ETF outflows. Now most IG bond funds/ETFs buy other IG assets in addition to corporate bonds - such as Treasuries, mortgages, etc. Focusing on dedicated corporate bond IG funds/ETFs (again including LQD) we estimate a $1bn inflow this year.
Recent daily outflows from HG bond funds/ETFs
However, we are starting to see small daily outflows from high grade bond funds and ETFs recently – specifically Friday-Wednesday (Figure 14).

This is to be expected given that the three main drivers of inflows to high grade bond funds/ETFs are 1) good total return performance (instead IG corporate bonds have lost 2.74% so far this year), low interest rate vol (Instead the move index has jumped to 70bps from 47bps) and equity outperformance (instead stocks corrected recently). For more details see: Inflows to taper 26 January 2018. For us to be concerned about large overall HG outflows – i.e. from bond funds as well - we need to see a much bigger increase in interest rates.
ETF liquidity injection
Fixed income ETFs are getting increasingly popular and, as a result, are adding liquidity to the mostly illiquid corporate bond market. In particular dedicated IG corporate bond ETF trading volumes are about 5.6% of cash bond trading volumes LTM – on adding the corporate bond portion of fixed income ETFs with broader mandates – such as agg-type funds - that number increases to 7.5% (Figure 15).

Trading activity in IG corporate bond ETFs is highly concentrated with the largest fund accounting for about 60% of volumes (Figure 17).

Trading volumes for the most active bonds in the corporate bond market are comparable, although slightly lower (Figure 18). In terms of AUM ETFs rose from 0.9% of the high grade index market value in January 2010 to 2.9% currently (for both corporate and high grade bond ETFs, adjusting for the share of corp. bonds, Figure 16)." - source Bank of America Merrill Lynch
While the slow movement in outflows has not reached the "Structured Criticality" level that would mean another "avalanche, these grains of sand do start to add up. Whereas foreign investors were responsible for the big acceleration in HG bond fund/ETF inflows in recent years thanks to a big decline in the cost of dollar hedging, retail in many instances have taken over from these foreigners particularly in the High Yield ETF space, rendering them more prone to volatility thanks to the feeble nature of these investors. While tracking bonds ETFs is of interest, it is of course not the best great gauge of real health in credit markets we must confess, though from a short term perspective, it might indicate some weakness in the near term. The correlation between oil prices and High Yield is much more interesting from a "monitoring" perspective. What you should be concerned about is that the switch from a negative real yield regime to a more normal, positive real yield regime might spark a big non-financial credit crisis because this time around leverage is higher now compared to history. If you believe in a "stagflationary" scenario unfolding à la 70s, the major difference is that leverage was falling during the rapid credit cycles of the 70s, with the biggest spikes in yields taking place at the end of the period.  There also a phenomenon that needs to be taken into account and it is that the current Boomers are more leveraged than previous generations were ahead of retirement as per the final points we have shown in our March 2017 conversation entitled "The Endless Summer". We concluded our missive at the time asking ourselves how many hikes it would take before the Fed finally breaks something.

But before your worries get ahead of you, in terms of credit matters, from an allocation perspective, if indeed slowly but surely rising outflows pressure from the Fixed Income space, we got interest by the suggestion made by Deutsche Bank in their Credit Bites note from the 16th of February entitled "The Resilience of Loans":
"In the aftermath of the recent inflation induced spike in volatility we analyse the impact it has had on the relative performance of HY bonds and leveraged loans. One of our key relative value views in our 2018 outlook is that loans would fare better than bonds if we did indeed see an inflation/rising yields led move higher in volatility that puts pressure on credit spreads.
When we published our outlook back in November one of our key relative value views was that loans would fare better than bonds if we did indeed see an inflation/rising yields led move higher in volatility that puts pressure on credit spreads. Given recent events we thought it would be worthwhile taking stock of where we stand and how the recent bout of volatility has impacted the relative returns between loans and bonds.
In Figure 1 we look at the cumulative YTD returns for the HY bond and leveraged loan indices.

We can see that in the early weeks of the year with spreads generally trending sideways to tighter bonds had fared fairly well. However with Bund yields generally moving higher from the second week of January loan returns started to bridge the performance gap. Then the inflation induced spike in volatility pushed credit spreads wider and helped to accelerate this trend. At the time of publication loans have outperformed bonds by 1-1.5% across the rating bands as we can see in the right hand chart of Figure 1.
 
In Figure 2 we run the same analysis for the USD market. We can see the relative performance dynamics are very similar to what we have already shown for the EUR market.

After the initial spread tightening and associated outperformance of bonds, the combination of higher bond yields and the spike higher in volatility has seen loans notably outperform. In fact the level of outperformance is slightly more impressive in the USD market. At the time of publishing loans had outperformed bonds (at an index level) in the 1.5-2% range across the rating bands (right hand chart of Figure 2).

We would additionally argue that it is not just the obvious outperformance of loans that has been impressive but also the general stability of loan returns. This highlights a key factor in why we think loans will outperform this year as they are generally less susceptible to day to day market volatility as well as having negligible exposure to rates duration.
If spread weakness in 2018 is driven by macro factors such as higher inflation and rising bond yields leading to higher volatility and wider spreads then the recent trend in performance makes us more comfortable with the view that loans will outperform bonds this year. We would be more concerned about this view if spread widening were to be driven by fundamental credit factors that pushed us towards the next default cycle.
Near-term we might see some reversal of this loan outperformance if volatility continues to settle down, equities continue to rebound from the recent correction and credit spreads continue to reverse some of the recent widening. However over the medium term we expect higher inflation and yields to keep volatility elevated above the lows of 2017 and therefore credit spreads to maintain a widening bias which should benefit loans over bonds." - source Deutsche Bank
What we don't like right now in the Leveraged Loans market is that Lower-rated deals (and covenant-lite transactions) are driving it at the moment. As indicated by S&P Leveraged Loans:
"There's $970B of outstanding US Leveraged Loans and more than 75% of that is covenant-lite" - source S&P LCD News
It might be more appropriate from a defensive perspective to play the Leveraged Loans game through large "Senior Tranches" in CLOs, ensuring you have a high attachment point, should defaults make a return at some point. Yet no doubt the low volatility of the asset class is compelling. Also in the US, managers of open-market CLOs have received a waiver from retention risk from the part of the US Court of Appeals for the DC circuit recently. This decision opens the door to other markets such as RMBS, CMBS and ABS to issue with the new rule in place. With a slower pace of issuance taking place over the next few months following the ruling, the asset class could benefit from a "technical bid". 

While many continue to be puzzled by the weakness in the US Dollar as per our final charts, we do think that when it comes to the long term direction of the currency, the twin deficits matter, and matter a lot.

  • Final charts - US Dollar ? Twin deficits and inflation matter
Economies that have both a fiscal deficit and a current account deficit are often referred to as having "twin deficits." The United States has fallen firmly into this category for years. According to Nomura FX Insights report from the 16th of February entitled "Twin deficits + inflation = weak dollar, current account balances are good explainers for FX performance. Both the Twin deficits in the US in conjunction with rising inflation expectations are good reasons to put forward for the weakness in the US dollar according to their report:
"USD/JPY’s plunge to levels last seen in late 2016 has caught many by surprise, but it fits neatly into a dollar downtrend narrative. Indeed, EUR/JPY has broadly been in a range since September last year, suggesting that we are not seeing a yen- or euro-specific move, but rather a dollar move. Remember, the euro is also seeing new highs – it has recently touched its highest level since late 2014.
We wrote recently that growing twin deficits in the US typically see the correlation between yields and the dollar breakdown and also that the dollar fares poorly during actual hiking phases. Another way of looking at this is correlations of G10 FX performance against current accounts or shifts in interest rates. Here we find that current account balances have asserted themselves as the best explainer of relative FX performance just as monetary policy has lost its grip on markets (Figure 1).


As for inflation, we also have written that the current combination of higher US inflation and loss of momentum in US growth surprises should weigh on the dollar. This has panned out. Again looking at correlations across a range of indicators, we find that FX is now negatively correlated with inflation levels.
In a world where twin deficits and inflation matter, the yen stands out. Japan has the lowest expected inflation in the G10 world. Core inflation is currently an anemic 0.1% compared with the recent 1.8% in the US. Japan is running a sizeable current account surplus and its fiscal balance is improving. Meanwhile, the US’s trade deficit is widening fast and the US is set to see its worst deterioration in its fiscal balance outside of a recession in modern history. All this suggests that dollar weakness could continue. We need to monitor the pace of the move, and Fed actions (more tightening to slow the economy) or even BoJ/ECB actions, but for now we’d look for USD/JPY to breach 100 and the euro to breach 1.30 in coming months." - source Nomura
In addition to the above interesting points made by Nomura, if the US dollar tends to weaken when inflation worsen, it also tends to strengthen when oil prices fall. When it comes to "Structured Criticality", the rapid fall in oil prices in 2015 was the grain of sand that led to the "avalanche" in risk-off and the significant widening in credit spreads that led to the weakness seen in equities in early 2016. Right now, the market has regained some posture thanks to financial engineering in the form of renewed buybacks and a strong M&A pipeline, until we get another unforeseen grain of sand, but that's a story for another day it seems.

"The epitaph on the grave of our democracy would be: They sacrificed the long-term for the short-term, and the long-term arrived" - Sir James Goldsmith

Stay tuned !  

Wednesday, 14 August 2013

Guest post - Is Risk Parity a Scam - Rcube Global Macro Research

"We have a natural right to make use of our pens as of our tongue, at our peril, risk and hazard." - Voltaire 

Courtesy of our friends at Rcube Global Macro, please find enclosed their latest publication where Paul Buigues looks at Risk Parity strategies:
(for PDF please use the following link: http://www.rcube.com/docs/Rcube_Is_Risk_Parity_a_Scam.pdf)

Risk parity strategies experienced large drawdowns between early May and late June due to a combination of rising government yields and falling equities.
Note: The original and largest fund in the sector (Bridgewater All Weather Fund) does not publish daily NAVs.

This rather significant correction raised quite a few eyebrows, particularly because risk parity strategies are often marketed as being able to withstand a wide range of economic environments (and, unlike 2008, today’s environment is rather benign).

Although it would be preposterous to disparage a strategy based on two months of negative returns, this drawback gave us the impetus to express our thoughts on risk parity as an investment strategy, as it emerged from relative obscurity just a few years ago, only recently becoming fairly popular among investors.


Like other passive asset allocation strategies,1 the basic premise of risk parity is that asset returns are unpredictable, at least in the short] and medium]term. Consequently, investors should only attempt to capture risk premia, without wasting their time and energy trying to forecast the behavior of specific asset classes.
According to the Modern Portfolio Theory (which is, itself, based on a dozen theoretical assumptions), the only rational choice for an investor is consequently to own the gmarket portfolioh which contains every asset available in the market, weighed according to its relative size. Because this is difficult to implement in practice, investors often settle for a (generally more granular) version of the 60/40 allocation between equity and fixed income.

Risk parity is a different viewpoint on how not to exert judgment on any asset class. According to risk
parity proponents, investors should try to own all major investable asset classes on an equal risk basis.

Supposedly, this results in portfolios that have better risk/reward characteristics than traditional asset allocations. Moreover, as mentioned above, some argue that risk parity portfolios can generate quasi-absolute performances, even in the face of stormy markets.

Before going any further, it is worth stating that implementing a portfolio that contains all assets on
an equal-risk basis is even more challenging to implement than implementing the "market portfolio".
This explains the existence of many different variants of risk parity.2

Recap: Portfolios that express a neutral view on future asset class returns




After selecting a specific variant of risk parity, many implementation choices need to be made:

‐ What universe of assets should be used, and how should they be regrouped them in asset classes?


‐ Should asset class correlations be taken into account? And if so, how?

- How should we define risk? In our understanding, most risk parity implementations use volatility,
which obviously exists in many different varieties (historical, implied, predicted, GARCH, etc.) and
calculation horizons.

- What leverage should be applied to the portfolio for it to reach an acceptable rate of return? (Risk
parity generally involves leverage.)

- What frequency should be used for portfolio rebalancing and volatility calibration?

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1 Although risk parity strategies have to be managed actively (if only to equalize risk levels on a regular basis), we consider them to be passive, in the sense that they are not based on trying to forecast future asset returns.
2 Here are just a few implementations of risk parity: the “All weather” portfolio, classical risk parity, cluster risk parity, risk factor parity, and equal risk contribution.
To our understanding, the “All weather” strategy is not risk parity in the strict sense. From the way it has been described in various papers, it basically consists in choosing a set of asset classes, and in leveraging each of them to obtain a common expected return (generally the expected return of equities). In that sense, this strategy should be called return parity, rather than risk parity. Unless we expect all asset classes to have the same Sharpe ratio, these two approaches are not equivalent.

Due to this large number of degrees of freedom and parameters, this paper will present risk parity from a generic viewpoint. It will contain case studies and thought experiments rather than backtests (as we will see, backtests are generally biased towards risk parity strategies).

Although the term “risk parity” was only introduced in 2005, we can trace the origins of the concept
to a strategy that Ray Dalio (3) started using in 1996 to manage his family trust. Despite Bridgewater’s success in generating sizeable alpha for their clients, Dalio wanted to create an investment process that would not depend on his own ability to manage funds or to select managers (as he wouldn’t be able to do so after his death).

The strategy (named the “All Weather portfolio”) also had to deliver returns, regardless of economic
conditions. Dalio therefore concluded that the portfolio should maintain 25% of the portfolio’s risk in
each of the four following quadrants:

This is clearly an excessively simplified portrayal of a strategy that now has $70Bn under management and that has generated an annualized performance of around 8.5% with a volatility of around 10% since 1996, inspiring many fund managers and institutional investors to run the same type of strategies in-house.

However, despite its commercial and financial success, many observers consider risk parity to be an
investment scam. Finding a strategy that might dominate the classical 60/40 portfolio is one thing. Pretending that this strategy is able to produce stable returns (without attempting to predict those returns) sounds a lot like a "get rich steadily and without effort" scheme.

Even though wefre not into passive asset allocation strategies (otherwise, we would look for another
line of work), we will try to contribute to the debate. We will organize our thoughts by looking at
three intertwined dimensions of risk parity: diversification, returns, and risk. In each section, we will
express our opinion on the conceptual merits of risk parity, as well as its prospects in the current
environment.

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(3) Ray Dalio is Bridgewater’s founder and one of risk parity’s pioneers. Despite the criticism against risk parity expressed in this paper, Dalio is at the very top of our pantheon of financial thinkers.

1. Diversification

From a passive asset allocation standpoint, it is hard to argue against diversification, which
constitutes the core of risk parityfs philosophy.

The idea of spreading risk among different asset classes obviously precedes risk parity by a few millennia, as we can find references to it in the Talmud ("One's assets should be divided into thirds: 1/3rd in land, 1/3rd in business, 1/3rd in gold") or in the Ecclesiast ("Divide your investments among many places, for you do not know what risks might lie ahead").

In the early 1980s, Harry Browne introduced the gpermanent portfolioh, an investment strategy whose aim was to withstand all sorts of economic environments, and which was originally composed of an equally weighted portfolio of four asset classes: 25% US stocks, 25% long-term bonds, 25% cash, and 25% precious metals.

However, it is worth noting that these simple equal]weight approaches only aim at minimizing the risk of ruin from a personal wealth standpoint, which is not the modern view of how portfolios should be managed (i.e., maximizing investment returns for a given level of risk).

In terms of diversification, the major innovation of risk parity over these early approaches resides in
equally weighting risks, instead of allocations.

In that respect, risk parity proponents are indisputably right when they state that traditional 60/40 asset allocations are not truly diversified, as they have had a correlation of 0.90 with equities over the last 40 years.

That being said, we believe that placing diversification above everything else can lead to unpleasant consequences. The main advantage of a passive gmarket portfolioh approach is that, by definition, it does not disturb the market's equilibrium, as every asset class is weighted according to its relative importance in the market. On the opposite side, once it becomes popular, any other passive investment process that significantly deviates from market weights can wreak havoc in market valuations, precisely because passive investment processes entail not caring about valuations.

For example, letfs take a small exotic asset class (public Timber REITS, for instance), which would display nice diversification properties in the eyes of many different diversification]minded managers. Although each individual manager might decide not to own more than 1% of the total float, their combined buying power could very well provoke a bubble in the asset class.

A real-life example of the damage that can be caused by a blind quest for diversification can be found
in the way in which CDOs used to be managed before the credit crisis. In order to increase their contractual Moody's "diversity score", CDO managers were forced to diversify their exposures in terms of industries. As a consequence, some industries that had little outstanding debt became heavily sought after and, therefore, completely mispriced. In the end, a supposedly superior diversification did not help CDO managers, as correlations converged towards 1.00 during the 2008 credit crunch.

To a certain extent, the appeal of diversification might also explain investorsf willingness to buy TIPS
at negative yields (down to around -1% for the 10 years recently). While being a relatively small part of government debt (around 10%), TIPS' characteristics make them very attractive in the eyes of
investors who value diversification far above everything else, including valuation (in this particular
case, however, the jury is still out in determining whether we’re all “turning Japanese”).

One last word about diversification: as we will see in our next section, we’re not convinced that financial markets offer a sufficient number of uncorrelated risk premia in order to be able to reach a “true” diversification.

2. Returns


2.1. Risk premia

Like any other passive asset allocation strategies, risk parity relies on the assumption that some asset
classes should structurally outperform the risk‐free rate. Although there are theoretical justifications and ample empirical evidence for some of these risk premia, their number and their magnitude is ‐ and will always be ‐ subject to intense debate.

To us, the most convincing and economically meaningful risk premium resides in equities. Because of
the high covariance of corporate asset values with the state of the economy, equities have to compensate investors for the risk they take (no one wants to lose his job and experience portfolio losses at the same time). We can obviously only make rough estimates of the forward equity risk premium (letfs settle for 5% on a global basis), but we do have little doubt about its existence.

Even if they might offer some diversification benefits from a marked]to]market perspective, we believe that many asset classes (e.g., high yield bonds, REITS, or private equity) have a risk premium that originates from the same covariance with the state of the economy. Whether they should be considered as completely separate assets classes is, therefore, debatable. In fact, this question is specifically addressed by newer risk parity implementations, such as cluster risk parity and equal risk contribution.

For some asset classes, the very existence of a positive risk premium can be questioned. In the case
of commodities, for instance, the classical justification for a risk premium (i.e., Keynesf "normal backwardation") is nowadays dubious, as an increasing number of investors have been willing to take hedgersf opposite side. Roll yields, which had been the sole source of excess returns for commodities, have been centered on zero for the last 10 years.

For other asset classes, risk premium prospects currently look rather grim, the most obvious example
being Treasuries. If we look at 10]year Treasuries, their historical long-term return over short-term
rates has been around 1.6% since 1920. Since the early 1980s however, 10-year Treasuries have produced far higher excess returns (around 5%), as 10]year yields went from 15.8% to the current 2.5%.

Although there are only a few things about which we can be certain in finance, we can safely proclaim the mathematical impossibility of getting 5% excess returns by rolling 10-year treasuries over the next 10 years.

Therefore, because risk parity strategies always overweigh fixed income assets due to their low volatility, we can ascertain that this source of outperformance against conventional 60/40 allocations has dried up, even without invoking a gbig rotationh that would bring 10-year yields back to a theoretical long]term equilibrium value.

There are obviously many other sources of risk premia. However, most of them (liquidity‐based ones,
for instance) are the “bread and butter” of specialized hedge funds. Therefore, they are outside of the scope of risk parity, which is not a bad thing, as many of these arcane risk premia tend to display a very negative skewness.

Our main point is that, even if we consider a large universe of asset classes, it’s not as if there were dozens of investable and economically meaningful risk premia waiting to be harvested by passive investors. In the end, when we take into account the fact that many risk premia actually originate from the same basic sources, we might end up with just a few investable risk premia. Additionally, as more people reach for diversification, those few risk premia tend to become more correlated over time.

2.2. Leverage

One important point regarding returns resides in the fact that risk parity strategies generally involve
leverage—that is, unless the investor is satisfied with long‐term returns of 2 to 2.5% over the risk-free rate.

Risk parity practitioners generally characterize leverage as a mere “implementation tool”, and they
believe that their superior diversification outweighs the disadvantages of running a levered strategy.

Although a reasonable use of leverage might not be fatal to a portfolio, it can irremediably hurt its
returns. Indeed, as we will see in our section about risk, leverage introduces a path dependency issue.
We can very well imagine a “black swan” situation, in which a supposedly safe asset class experiences a price trajectory that forces a deleveraging of the portfolio and, therefore, wipes out a large chunk of it.

3. Risk

We believe that the subject of risk is the one wherein risk parity is the most open to criticism.

Indeed, to reach the gparityh in risk parity, one has to reduce the risk of an asset to a single number
one way or another (generally a specific variant of the assetfs volatility). Although it is not a very original point of view, we believe that the risk of an asset cannot be quantified in this simplistic way.

Despite the fact that there is a certain level of stickiness in an assetfs risk (or volatility), every now
and then, assets - even supposedly gsafeh ones - have the nasty habit of breaking the parameters of
the equations that are supposed to describe their behavior (especially if these equations do not take
into account skewness).

To illustrate this point with a little story, letfs imagine a situation that could very well have happened
during the last decade:
In the aftermath of the 2000s tech crash, John becomes yet another young unemployed electrical
engineer (as Taleb, the inventor of the Black Swan theory, likes to characterize most quants). He decides to start a new career by getting a masterfs degree in finance. Armed with his solid math skills, John quickly digests modern portfolio theory, basic statistics, and all varieties of volatility calculations. He finds a job at an institutional investor and quickly moves up the corporate ladder.

In 2006, John convinces his board to apply a risk parity strategy to manage the firm's portfolio. Because he has a fresh and open mind about finance, he decides to spice up the asset mix by adding an exposure to mortgage]backed securities in the form of newly-minted ABX indices.

Who could blame him, based on the information available in 2006?
- The total size of the US mortgage debt is huge ($13 trillion in 2006), comparable to US equities, and larger than government debt.

- ABX indices are highly diversified, as each index is based on 20 distinct RMBS transactions. Each RMBS containing a minimum of $500 million worth of homes, an ABX investor is exposed to more than 50,000 homeowners throughout the US. What can possibly go wrong with such a diversified pool of debtors?
- ABX products are rated by respectable institutions, such as Standard & Poorfs (1860) and Moody's (1909), and they offer a wide variety of risk levels (from AAA to BBB).
- The volatility of the underlying financial products that compose the index is minuscule (they always trade around par).
Even if John had opted to buy the safest AAA ABX tranches (with, consequently, a high allocation due to their glowh risk), he would have experienced heavy losses during the 2007-2008 crisis. Additionally, he would have been forced to drastically reduce his allocation to the asset class as the gtrueh risk (or volatility) of ABXs revealed itself, preventing it from benefiting from any subsequent recovery.

Consequently, given that he was running a leveraged portfolio, John would have been forced to crystallize his losses.

This story might sound far]fetched, but we could have invented a similar story about Georgios implementing a risk parity strategy for a Greek institutional investor by leveraging on domestic government debt.

Some might argue that both of these examples involve blatantly asymmetric assets, which could have
easily been filtered out (especially in retrospect) by an experienced risk parity practitioner.

However, we can also imagine a forward‐looking scenario that would involve one of the most respectable assets on earth ‐ US Treasuries ‐ as the main culprit of a risk parity carnage:

Let’s imagine that, a few years down the road, Bernanke’s successor has to manage another “great
recession”. This time, the Fed decides to go beyond QE by pegging long‐term rates at a very low level (let’s say 0.5% for the 10year).4

As the Treasury remains stuck at 0.5%, there is no more volatility on Treasuries.

According to the risk parity playbook, an investor should therefore increase his exposure to Treasuries alongside the Fed. In exchange for a minuscule return, the investor would, thus, face a substantial jump risk if the Fed had to apply a hurried “exit strategy” due to a surge in inflation…

From a broader perspective, we consider risk parity to be the antithesis of Minsky’s “financial instability hypothesis”. According to this view, investors increase their leverage when they believe an asset to be stable, which reinforces their belief that the asset is, indeed, stable (this is a perfect description of how risk parity investors behave in a given asset class). The cycle goes on until we reach the dreadful “Minsky moment”, where investors are forced to deleverage as the real risk of the asset reveals itself.

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 4 This solution was discussed by the Fed in late 2010, and it has already been experimented with
between 1942 and 1951.

 Conclusion

Due to the fall in government yields over the last 30 years, risk parity strategies have had an easy time compared to traditional asset allocations. We should therefore disregard all the performance]based arguments that are often put forward by the proponents of risk parity.

From a conceptual standpoint, although it might seem unfair to make generalizations about a strategy that exists in many different variants and implementations, we believe that risk parity suffers from many structural flaws:

1) Risk parity requires to make choices between many different implementation options, asset selection, calculation parameters etc. These choices necessarily contain arbitrary components and will have a significant impact on the strategyfs performance under different scenarios.


2) By placing diversification above any other consideration, risk parity portfolios can hold assets at (or even move assets toward) uneconomic prices. This problem is magnified as risk parity - or other approaches focused on diversification - become increasingly popular.

3) After all, risk parity’s quest for diversification might prove fruitless, as risk parity portfolios end up harvesting the same basic risk premia as traditional asset allocation (mostly the equity premium and the term premium), albeit at different dosages.

4) The leverage used by risk parity strategies makes them prone to deleveraging and, therefore, to crystallization of losses.

5) Risk parity’s false premise that risk can be quantified as a single number exposes it to highly 
asymmetric returns, which can happen to any asset class given the right set of circumstances.
If someone wants to run a passive asset allocation, we therefore believe that a market portfolio constitutes a better option from many perspectives: conceptual, foreseeable reward-to-risk and CYA.

For the same reasons, we strongly reject the idea that risk parity portfolios could represent an "all weather", quasi-absolute return strategy (we suspect marketing departments are the ones to blame for these outlandish claims).

There are certainly seasoned risk parity professionals out there who are able to mitigate risk parity's
numerous flaws. However, we have little doubt that when the next gblack swanh terrorizes the financial world (as seems to be the case on an increasingly frequent basis), we will witness the implosion of many risk parity strategies (those that are based on high leverage, overly simplistic assumptions on asset risks, and/or an unfortunate choice of underlying assets). Trusting risk parity to manage onefs life savings is therefore quite perilous, especially if it takes the form of a formula-based risk parity ETF - which should come out any day now.

That being said, the idea of a passive investment strategy that would be able to withstand any kind of financial weather is not unrealistic. However, its goal should be the long]term preservation of capital and not its theoretical maximization under a theoretical risk constraint. Additionally, the strategy should make very little use of leverage, and it should not make too many assumptions on the risk of a given asset (as risk becomes an unpredictable beast every now and then). In the end, we would probably end up with something quite similar to the Talmudic portfolio (N equally-weighted assets).

We realize that, without adhering completely to risk parityfs principles, many institutional investors
are implementing it as a part of their portfolio alongside other "absolute return" strategies. This approach is clearly less dangerous than an all]in commitment to risk parity. At a portfolio level, it simply results in overweighting low]volatility assets, which is obviously far-removed from the original purpose of risk parity.that is, true diversification at a portfolio level.

"Living at risk is jumping off the cliff and building your wings on the way down." - Ray Bradbury 

Stay tuned!

 
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