Reality check: The S&P 500 is back to flat for the year after its worst start ever. Meanwhile, the Russell 2000 is down -5% year-to-date.
Takeaway: We are adding CME Group to Investing Ideas today.
Editor's Note: Please note that our Financials analyst Jonathan Casteleyn will send out a full report outlining our high-conviction long thesis next week. In the meantime, below is a brief summary of our thesis sent today by Hedgeye CEO Keith McCullough in Real-Time Alerts.
With long-term bond yields signaling immediate-term TRADE oversold (within bearish yield TREND view), I'm going to signal buy here on red on one of the few Financials (XLF down another -1.2% today, crushing the bulls) our Jonathan Casteleyn likes right now: CME Group (CME).
"CME Group (CME), one of the few stocks that sits on our Best Ideas list as a long, put up a decent fourth quarter earnings print with a slight revenue and earnings beat. Not that we put much weight on what happened last quarter but trends into the new operating period are looking even better. The exchange guided to just a +1% operating expense increase for 2016, guided to slightly lower annual taxes for '16 (with more activity coming from abroad), and again announced that open interest was setting a new record, at over 111 million contracts.
Even assuming some mean reversion to just over 16.5 million contracts (depending on product group), 1Q is running at ~$1.20 per share in earnings, which means the Street will need to perk up its current $1.06 estimate. Simply put, this is one of the few growth stories in the current macro environment within Financials."
Takeaway: Please note we are removing Darden Restaurants from Investing Ideas (short side) today.
"The stock has corrected hard post the squeeze," says Hedgeye CEO Keith McCullough. "I want to take it off, for now, and put on some other short ideas."
Please note Hedgeye Restaurants analyst Howard Penney remains bearish on Darden. Here's a distillation of his bearish case from his original stock report on the company:
The total percentage of successful long and short trading signals since the inception of Real-Time Alerts in August of 2008.
Takeaway: Investors would do well to appropriately contextualize and actively risk manage head fakes in domestic economic data.
Editor's Note: Earlier today, the Atlanta Fed's GDPNow estimate (which forecasts U.S. GDP growth) hit 1.4% for Q1 2016 versus 2.6% just a month ago. Last month, Hedgeye Senior Macro analyst Darius Dale wrote:
"Don’t get caught up in the current strength of the Atlanta Fed’s GDPNowcast or what may actually turn out to be a decent Q1 GDP report on a headline basis. We strongly consider both of those catalysts to be head fakes in the context of the underlying sine curve of U.S. economic and capital markets activity."
Below is his prescient research note in its entirety explaining why our own GDP estimate is substantially below Wall Street consensus and Atlanta Fed estimates. For more information on how you can subscribe to our institutional research email email@example.com.
If I’ve heard Keith reference PTJ’s quote about the last third of the move being “the toughest to risk manage” in a meeting once, I’ve heard it a thousand times. In bear markets, those who mismanage “the last third of the move” are short sellers that cover too early (in fear of the policy response) and bulls that cite “valuation” as a reason to purchase securities – quite often far too early. Both are buy orders, FYI.
Did the shorts cover too early?
No, well at least not from the perspective of our short-term trading signals. Last Wednesday morning, we published an immediate-term risk range of 1835-1899 for the S&P 500, which was an explicit signal for investors to cover shorts well into last Thursday’s low (1810 to be exact).
That’s not to suggest that we’ve nailed it by any stretch of the imagination, but rather to reiterate the omnipotence of actively managing risk in bear markets. We’ve been vocal in stressing that bear-market bounces are typically more sharp than their bull-market counterparts. The +645bps rally in the SPX from Thursday’s intra-day low to today’s closing price is allegedly the sharpest three-day rally since the thralls of our last bear market in late-2008.
Indeed, high short interest stocks are the 2nd best-performing style factor on a WoW basis, just behind high beta stocks. We consider that to be ample enough evidence of aggressive covering of crowded momentum shorts. I’m sure there will be plenty of research notes from prime brokers highlighting this very point tomorrow morning – if there haven’t been already. Obvious is as obvious does.
In light of the aforementioned strength in the U.S. equity market, has anything materially changed, quantitatively speaking?
No, certainly not from the perspective of our Tactical Asset Class Rotation Model (TACRM), which shows that:
***CLICK HERE to download the latest refresh of our TACRM presentation.***
A much more difficult question to answer at the current juncture is, “Has anything materially changed, fundamentally speaking?”
On a trending basis, the answer to that question is a resounding “no” – especially with respect to: 1) the corporate profit cycle, 2) the C&I credit cycle, and 3) the monetary policy cycle. As we’ve detailed extensively in recent notes, the confluence of the likely progression of each will be the determining factor for ultimate downside in risk asset prices:
On a shorter-term basis, astute investors have been asking us the right questions about sequentially improving high-frequency economic data. In the 1Q16 to-date, we’ve seen three releases that lend some pause to our bearish outlook for the domestic economy – if only for a brief moment:
While it would be easy to poke holes in each of the aforementioned releases (for example, the Employment index of the JAN ISM report crashed to a new cycle low of 45.9), it’s not clear to me that that would be a valuable use of your time; nor would it be a valuable endeavor on which to expend analytical credibility. The risk of being perceived as arguing with the data for too long for a research outfit that doesn’t have banking, trading or asset management to support its revenues is arguably just as punitive as the risk of a money manager fighting the market for too long.
A better use of our collective time is attempting to determine the sustainability of the aforementioned positive deltas in economic data:
All that having been discussed, let us turn our attention to the Atlanta Fed’s recent revision of their “GDPNowcast” for Q1 to 2.6% per the latest release. That forecast is up from a trough of +0.6% as recently as mid-January and has the attention of many concerned short-sellers and confident bulls alike.
How important is the aforementioned estimate within the context of the Atlanta Fed’s ~4.5 year-old track record at forecasting U.S. GDP growth? Not very.
The following chart shows us the Atlanta Fed’s peak (green line) and trough (red line) estimates 47 days into any given quarter as we are currently. These figures are juxtaposed with the actual recorded QoQ SAAR growth rate of U.S. GDP (blue line) and the maximum tracking error of the Atlanta Fed’s GDPNowcast (black line). The average maximum intra-quarter-to-date tracking error is a startling 248bps over the duration of this study. That is a whopping 113% of average growth rate of GDP over that same time frame (i.e. 2.2%)!
PLEASE NOTE: We are not showing this analysis with the intention of undermining the Atlanta Fed. Their GDPNowcast estimates are a good barometer of what consensus thinks about near-term growth prospects and their work in charting the “Shadow” Fed Funds Rate has been equally additive to the Macro discussion. We simply highlight the elevated risk of their current forecast for Q1 2016 being revised materially lower (or higher) as the quarter progresses. It’s worth noting that we’ve hardly received much in the way of January data – let alone enough data points to have statistical validity in any regression model.
As we highlighted in our 9/2 Early Look titled, “Do You QoQ?”:
“In the context of modeling the economy, the more we learn about sequential momentum, the less we are able to know about the underlying growth rate of the economy. Recall that headline GDP growth accelerated +660bps to +7.8% in the 2nd quarter of 2000 and that it accelerated +470bps to +2% in the 2nd quarter of 2008. If you were prescient in forecasting these second-derivative deltas, you could’ve bought all the stocks you wanted en route to peak-to-trough declines on the order of -49.1% and -56.8%, respectively (S&P 500)… Going back to the aforementioned head-fakes, it’s clear that those read-throughs on sequential momentum failed to signal pending material changes to the underlying growth rate of the economy.”
In the aforementioned note, we also highlighted the poor track records of both Bloomberg Consensus and the Fed in forecasting quarterly and annual GDP growth rates in the post-crisis era:
As the following charts demonstrate, the aforementioned updated quarterly and annual average maximum tracking errors are now 164bps and 91bps, respectively (data through EOY ‘15). These updated figures continue to reflect the fact that investors should remain highly skeptical of even the nearest-term growth forecasts from economists and/or policymakers. At best they’re playing a game of Marco Polo; at worst, they are feeding potentially hazardous information to market participants.
All told, as we discussed at length in our 1/29 note tilted, “What Recession?!”, predicting headline (i.e. QoQ SAAR) GDP is a fool’s errand. Don’t get caught up in the current strength of the Atlanta Fed’s GDPNowcast or what may actually turn out to be a decent Q1 GDP report on a headline basis. We strongly consider both of those catalysts to be head fakes in the context of the underlying sine curve of U.S. economic and capital markets activity.
Best of luck out there,
Sure, there's always a bull market somewhere... but you won't find one in the five markets below. Each one looks especially ugly when you peel back the onion.
You'll note that each one of these markets have been consistently making lower highs. The lesson here? Fairly simple. Don't blindly fish for bottoms in falling markets.
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