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Topical observations from the Qi macro lens. Build your investment roadmap with the best-in-class quantitative analysis and global data.
09.06.2021
Inflation - friend or foe?
US CPI is released tomorrow & arguably the critical question for stock pickers is whether inflation is positive for their holdings - reflecting a healthy economic upswing - or negative as it results in an early Fed tightening, or compresses margins.
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Credit
Last Wednesday the Fed announced it will unwind the corporate bonds it bought as part of its emergency policy response to last year’s initial Covid lockdowns. How has the dust settled since that announcement?
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08.06.2021
South Africa
The chart below shows the 10 biggest valuation gaps across all FX pairs modelled by Qi. Three of them involve the South African Rand which is rich to macro on each occasion.
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07.06.2021
The impossibility of a 'bottom-up' equity strategy
Every portfolio is effectively a macro portfolio even when it purports to be bottom up. However you pick the stocks, you usually end up with something that is largely driven by macro factors.
See more
07.06.2021
RETINA™ - Bullish on Energy
RETINA™ triggered several bullish signals in the energy space on Friday. At the single stock level in US, Europe & Asia. And at the sector level in US relative value space.
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Come fly with me
The airline sector is arguably the purest expression of the re-opening trade. There are hopes next month’s G7 may reach an agreement on travel corridors & vaccination certificates which will help rescue the northern hemisphere’s summer holiday season.
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27.05.2021
Asian Tech
In mid April “A turn in Asian tech?” highlighted that ChiNext was back in regime & cheap to macro. This week Hang Seng Tech & the KWEB China Internet ETF have both crossed back above our threshold & entered new macro regimes.
Company fundamentals remain critical &, in the present environment, regulatory risk is a clear & present danger. However, bottom up investors cannot focus exclusively on the idiosyncratic – macro risks are back as an important driver of Asian tech.
Premium content, for a full analysis sign up to a month of insightsCompany fundamentals remain critical &, in the present environment, regulatory risk is a clear & present danger. However, bottom up investors cannot focus exclusively on the idiosyncratic – macro risks are back as an important driver of Asian tech.
26.05.2021
Nothing to see here
Yesterday the Conference Board’s measure of consumer expectations for US inflation hit 6.5%, effectively matching a 10 year high. The contrast with market-based expectations for inflation is notable.
5y5y forward inflation swaps in USD & EUR are widely watched & believed to be favourite indicators monitored by the Fed & ECB. Both had showed inflation expectations as high versus model, but the charts show Qi’s Fair Value Gap retracing back to zero yesterday.
Qi FVG - USD 5y5y Inflation
5y5y forward inflation swaps in USD & EUR are widely watched & believed to be favourite indicators monitored by the Fed & ECB. Both had showed inflation expectations as high versus model, but the charts show Qi’s Fair Value Gap retracing back to zero yesterday.
Qi FVG - USD 5y5y Inflation
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25.05.2021
Peak growth?
Qi pulls in Chinese tracking GDP growth from Now-Casting as a core factor for global economic growth. That hit a local high of +17% YoY & has subsequently slipped lower. The chart below shows that in z-score terms. That surge in growth was a 4 standard deviation event but the subsequent retracement has taken back more than 50% of the move.
The markets’ increased attention on China’s credit impulse – the change in new credit as a percentage of GDP growth – speaks to fears China is transitioning from the engine of global growth, to one that has already peaked.
The markets’ increased attention on China’s credit impulse – the change in new credit as a percentage of GDP growth – speaks to fears China is transitioning from the engine of global growth, to one that has already peaked.
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24.05.2021
The most important chart in
financial markets today
financial markets today
The trend / momentum outlook for Brent from RETINA™. Unsurprisingly, the profile for WTI is identical. The picture is mixed currently but should both lines move into negative territory, thereby flagging a new downtrend in crude oil, the implications are significant.
Premium content, for a full analysis sign up to a month of insights09.06.2021
Credit
Last Wednesday the Fed announced it will unwind the corporate bonds it bought as part of its emergency policy response to last year’s initial Covid lockdowns. How has the dust settled since that announcement?
See more
Qi's credit models are in strong macro regimes & valued in line with macro fundamentals. Our Credit Watchlist shows all bar two (EM High Yield & US Municipals) have high model confidence; & all are essentially within 0.5 sigma of macro-warranted model value.
High Yield spreads in both US & Europe are especially notable – macro explanatory power of 90% plus & almost exactly in line with fair value.
No valuation edge in credit itself then, but what about other asset classes?
The Fed’s aggressive policy response in March 2020 resulted in a significant rise in credit’s importance as a factor for risky assets. Given its role as a primary driver, a core Qi theme throughout last year was that, as long as the Fed back-stopped credit markets, any pullback in US equities was a dip buying opportunity. Is the opposite true now?
High Yield spreads in both US & Europe are especially notable – macro explanatory power of 90% plus & almost exactly in line with fair value.
No valuation edge in credit itself then, but what about other asset classes?
The Fed’s aggressive policy response in March 2020 resulted in a significant rise in credit’s importance as a factor for risky assets. Given its role as a primary driver, a core Qi theme throughout last year was that, as long as the Fed back-stopped credit markets, any pullback in US equities was a dip buying opportunity. Is the opposite true now?
The chart above shows the S&P500’s independent sensitivity to US High Yield spreads. In Q4’20, a one standard deviation tightening in US HY spreads (in isolation, every other factor held constant), was consistent with a 1% rally in SPX.
The equivalent move today is just a 0.2% gain. On this metric, equities still want tight credit spreads but the sensitivity is a fifth of what it was. Last week’s announcement isn’t the huge game changer it would have been in 2020.
The equivalent move today is just a 0.2% gain. On this metric, equities still want tight credit spreads but the sensitivity is a fifth of what it was. Last week’s announcement isn’t the huge game changer it would have been in 2020.
08.06.2021
South Africa
The chart below shows the 10 biggest valuation gaps across all FX pairs modelled by Qi. Three of them involve the South African Rand which is rich to macro on each occasion.
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AUDZAR is especially notable. Prior to Friday’s US Payrolls, the FVG was at a 1y low. Even with the recent bounce in spot, the valuation gap stands at -1.1 sigma (-4.2%). Back-testing a buy the dip strategy at a FVG of -1.1. sigma since 2009 produces a 79% hit rate & +1.8% average return.
While the valuation gaps are less extreme, the Rand is expensive to model on USDZAR, CADZAR & EURZAR as well. Of those, CADZAR’s current -0.7 sigma FVG back tests the best with a 63% hit rate & +0.4% average return.
The macro profile is similar across all 4 crosses. Risk off (wider credit spreads, higher VIX) plus weaker domestic growth (Now-Casting tracking GDP growth for SA) dominate the regime & are Rand negative. Put another way, on current FVGs, the Rand has priced a fair amount of good news on risk appetite & growth.
It is also noticeable how important the Rand is for South African equities currently. The sensitivity of the iShares ETF tracking MSCI South Africa to Trade Weighted ZAR has been rising strongly since mid March, & the currency is now the biggest positive driver.EZA is very close to macro fair value so equity investors need to monitor fx shifts.
The macro profile is similar across all 4 crosses. Risk off (wider credit spreads, higher VIX) plus weaker domestic growth (Now-Casting tracking GDP growth for SA) dominate the regime & are Rand negative. Put another way, on current FVGs, the Rand has priced a fair amount of good news on risk appetite & growth.
It is also noticeable how important the Rand is for South African equities currently. The sensitivity of the iShares ETF tracking MSCI South Africa to Trade Weighted ZAR has been rising strongly since mid March, & the currency is now the biggest positive driver.EZA is very close to macro fair value so equity investors need to monitor fx shifts.
07.06.2021
The impossibility of a 'bottom-up' equity strategy
Every portfolio is effectively a macro portfolio even when it purports to be bottom up. However you pick the stocks, you usually end up with something that is largely driven by macro factors.
See more
By George Hatjoullis:
One of the first things that I confronted as a young finance academic (this is pre-history) was the impossibility of running a portfolio of stocks selected for their individual merits. The reason was, once the portfolio had more than a certain number of stocks, the specific risks of individual stocks become largely irrelevant. This is the whole point of diversification. Unless the portfolio holdings are skewed towards one or two stocks the portfolio would be defined by its systemic risk; the risk that cannot be diversified away. If the portfolio consists, say, of bank stocks, then its risk characteristics would accord with those factors that impact all banks. The portfolio risk would be dominated by macro factors such as GDP growth, Inflation, interest rates, credit spreads, and so on. If you check the top ten holdings of any of your funds you will notice it is rare for any individual stock to constitute more than 2-3% and the holdings usually exceed 50 stocks. Every portfolio is effectively a macro portfolio even when it purports to be bottom up. However you pick the stocks, you usually end up with something that is largely driven by macro factors. For those that doubt the veracity of the paragraph take a look at Chapter IX of Portfolio Analysis by J.C. Francis and S. H. Archer, Second Edition, Prentice-Hall, 1979. I am sure there are more up to date discussions of this point but this was the Chapter that made me think back in 1979.
If we accept the premise of the above paragraph then this has profound implications for portfolio management and the wider fund management industry. Portfolio outcomes are determined by a well defined and finite set of macro factors. Macro has always been the only game in town. Portfolio outcome variation has been driven by selecting stock portfolios which were unwittingly weighted towards specific macro factors but attributed to marketing objective of the fund. The understanding of this issue has slowly emerged and we have seen much written about factors in terms of value, momentum etc. However useful these broad categories might have proven they are not clean macro factors. Some banks are clearly value stocks but others momentum or growth stocks. The need for a well defined set of macro factors that could capture portfolio differences remained. One attempt to fill this need is a company called Quant-Insight (https://quant-insight.com), and in which I own a small shareholding.
QI offers a set of independent and finite macro factors against which most diversified portfolios can be characterised. QI tells you what you have in terms of well defined factors such as growth, inflation, credit spreads, interest rates etc. QI tells you if the value of your portfolio (or individual stocks or other portfolios) is out of line with the historical relationship with the set of macro factors. QI tells you how strong is this relationship and when the portfolio relationship to macro factors may be changing. QI cannot tell you how these macro factors will evolve (nothing can) but it can show you to which factors your portfolio is presently exposed. QI can also remind you that whatever you think you have what you actually is some weighting of macro factor exposure. It may be that you can achieve a more efficient portfolio with exactly the same factor weighting. A more efficient portfolio would offer a greater return for the same level of factor risk.
Read the George Hatjoullis blog
One of the first things that I confronted as a young finance academic (this is pre-history) was the impossibility of running a portfolio of stocks selected for their individual merits. The reason was, once the portfolio had more than a certain number of stocks, the specific risks of individual stocks become largely irrelevant. This is the whole point of diversification. Unless the portfolio holdings are skewed towards one or two stocks the portfolio would be defined by its systemic risk; the risk that cannot be diversified away. If the portfolio consists, say, of bank stocks, then its risk characteristics would accord with those factors that impact all banks. The portfolio risk would be dominated by macro factors such as GDP growth, Inflation, interest rates, credit spreads, and so on. If you check the top ten holdings of any of your funds you will notice it is rare for any individual stock to constitute more than 2-3% and the holdings usually exceed 50 stocks. Every portfolio is effectively a macro portfolio even when it purports to be bottom up. However you pick the stocks, you usually end up with something that is largely driven by macro factors. For those that doubt the veracity of the paragraph take a look at Chapter IX of Portfolio Analysis by J.C. Francis and S. H. Archer, Second Edition, Prentice-Hall, 1979. I am sure there are more up to date discussions of this point but this was the Chapter that made me think back in 1979.
If we accept the premise of the above paragraph then this has profound implications for portfolio management and the wider fund management industry. Portfolio outcomes are determined by a well defined and finite set of macro factors. Macro has always been the only game in town. Portfolio outcome variation has been driven by selecting stock portfolios which were unwittingly weighted towards specific macro factors but attributed to marketing objective of the fund. The understanding of this issue has slowly emerged and we have seen much written about factors in terms of value, momentum etc. However useful these broad categories might have proven they are not clean macro factors. Some banks are clearly value stocks but others momentum or growth stocks. The need for a well defined set of macro factors that could capture portfolio differences remained. One attempt to fill this need is a company called Quant-Insight (https://quant-insight.com), and in which I own a small shareholding.
QI offers a set of independent and finite macro factors against which most diversified portfolios can be characterised. QI tells you what you have in terms of well defined factors such as growth, inflation, credit spreads, interest rates etc. QI tells you if the value of your portfolio (or individual stocks or other portfolios) is out of line with the historical relationship with the set of macro factors. QI tells you how strong is this relationship and when the portfolio relationship to macro factors may be changing. QI cannot tell you how these macro factors will evolve (nothing can) but it can show you to which factors your portfolio is presently exposed. QI can also remind you that whatever you think you have what you actually is some weighting of macro factor exposure. It may be that you can achieve a more efficient portfolio with exactly the same factor weighting. A more efficient portfolio would offer a greater return for the same level of factor risk.
Read the George Hatjoullis blog
28.05.2021
Come fly with me
The airline sector is arguably the purest expression of the re-opening trade. There are hopes next month’s G7 may reach an agreement on travel corridors & vaccination certificates which will help rescue the northern hemisphere’s summer holiday season.
See more
Alongside such political factors, bottom up analysis remains critical. Some carriers are promoting free flights for the vaccinated; others are successfully adapting from passengers to cargo in order to boost revenues. But it is notable in the curated Airlines Watchlist below that every single carrier Qi models - in US, Europe & Asia - is in a strong macro regime.
The other standout is how close to model fair value every single carrier is. They are all essentially within 0.5 sigma of model. Macro matters for airlines & currently they are behaving in line with macro fundamentals. Watch the relevant macro factors for the next big move.
While model confidence is uniformly high, there is a wide dispersion of macro regimes. Lufthansa is a high beta inflation play with crude oil & inflation expectations accounting for around a third of model explanatory power.
A desire for credit spreads to remain tight dominates all four US airlines – SouthWest, Delta, United & American.
Asian carriers Quantas & Singapore have the most diverse range of drivers but display a notable bias to domestic economic & financial conditions.
While model confidence is uniformly high, there is a wide dispersion of macro regimes. Lufthansa is a high beta inflation play with crude oil & inflation expectations accounting for around a third of model explanatory power.
A desire for credit spreads to remain tight dominates all four US airlines – SouthWest, Delta, United & American.
Asian carriers Quantas & Singapore have the most diverse range of drivers but display a notable bias to domestic economic & financial conditions.
26.05.2021
Nothing to see here
Yesterday the Conference Board’s measure of consumer expectations for US inflation hit 6.5%, effectively matching a 10 year high. The contrast with market-based expectations for inflation is notable.
5y5y forward inflation swaps in USD & EUR are widely watched & believed to be favourite indicators monitored by the Fed & ECB. Both had showed inflation expectations as high versus model, but the charts show Qi’s Fair Value Gap retracing back to zero yesterday.
Qi FVG - USD 5y5y Inflation
5y5y forward inflation swaps in USD & EUR are widely watched & believed to be favourite indicators monitored by the Fed & ECB. Both had showed inflation expectations as high versus model, but the charts show Qi’s Fair Value Gap retracing back to zero yesterday.
Qi FVG - USD 5y5y Inflation
See more
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That retracement was partly a function of macro model value moving higher – itself a function of this week’s bounce in crude oil. But the bigger move, certainly in the US, was the 14bp decline in spot since recent highs.
These are not models forecasting future CPI levels; rather, the empirically observed relationship between market expectations for future inflation versus their macro environment.
Observing where GDP growth is tracking, what financial conditions are doing & how risk appetite is behaving, macro model value has edged higher while the market has re-priced inflation expectations lower. Net-net, spot is now in line with macro fundamentals.
Unsurprisingly, the FVG for 10y USTs has also closed. On this occasion, the signal showing yields as 20bp too high has been closed by spot falling 10bp & model value rising 10bp, again courtesy of the bounce in crude oil prices. Signal from noise™
These are not models forecasting future CPI levels; rather, the empirically observed relationship between market expectations for future inflation versus their macro environment.
Observing where GDP growth is tracking, what financial conditions are doing & how risk appetite is behaving, macro model value has edged higher while the market has re-priced inflation expectations lower. Net-net, spot is now in line with macro fundamentals.
Unsurprisingly, the FVG for 10y USTs has also closed. On this occasion, the signal showing yields as 20bp too high has been closed by spot falling 10bp & model value rising 10bp, again courtesy of the bounce in crude oil prices. Signal from noise™
25.05.2021
Peak growth?
Qi pulls in Chinese tracking GDP growth from Now-Casting as a core factor for global economic growth. That hit a local high of +17% YoY & has subsequently slipped lower. The chart below shows that in z-score terms. That surge in growth was a 4 standard deviation event but the subsequent retracement has taken back more than 50% of the move.
The markets’ increased attention on China’s credit impulse – the change in new credit as a percentage of GDP growth – speaks to fears China is transitioning from the engine of global growth, to one that has already peaked.
The markets’ increased attention on China’s credit impulse – the change in new credit as a percentage of GDP growth – speaks to fears China is transitioning from the engine of global growth, to one that has already peaked.
See more
A more aggressive fiscal response in the US, plus secular trends like green technology remain important arguments for a commodity super cycle. But China’s impact on metal prices is traditionally very strong. Unsurprisingly, the z-scores for copper & iron ore have tracked Chinese GDP growth lower.
Qi’s Optimise Trade Selection enables users to screen their holdings for sensitivity to macro factors such as these.
Qi’s Optimise Trade Selection enables users to screen their holdings for sensitivity to macro factors such as these.