I read this news (link below) yesterday that indicates that BRL might be very expensive according to three models from Deutsche Bank. Though I don't have access to those models metrics, it got my attention because that information doesn't really fit very well with some simple models I run. I know there are lots of ways to model FX and as everyone might know its not a very easy market to figure out, specially for EM, where lots of feedback loops between country risk and FX rate happens and you can have long and short term models. Another point, specially for the PPP metric is the timeframe chosed. Anyway, just decided to post my findings here because they contrast with the DB picture. They might be right but here is my view:
Business Insider (Australia) link for the news:
That's DB chart...
My Behavioral model based on Commodities and CDS (YoY %)
PPP metrics based on CPI and PPI
I would say USDBRL is neither very cheap nor very expensive but fairly priced with the actual information.
quinta-feira, 14 de setembro de 2017
After a stellar performance in the last one year and a half or so some might be asking if IBOV is running ahead of itself, specially if we take into account all the political turmoil in the recent past and the uncertainties about the next year election. But though recently Ibov reached the historical highs in BRL terms it's still way below in USD terms and relative to other EM markets. The only certainty is that no one knows for sure what is going to happen, so my intention here is just to put the actual levels on a more historical perspective to clarify a bit where we are at this point. And in my humble opinion Ibov still have room to go in the next 2 to 5 years. (if we don't follow a venezuela path of course, but think that risk is low).
Ibov in USD log terms since 1968
removing it from the trend...
5 years annual compound return...
10 years annual compound return...
relative value of the EWZ ETF against EEM...
and finally a simple model to test Ibov (BRL) annual returns against CDS, local interest rate and commodities.
quarta-feira, 9 de agosto de 2017
Quick post here. I have been following a bunch of indexes and proxies of global trade volume for a while. I think its very important not just because we can have a picture of global growth, specially for emerging markets, but also because as commodities has in general become more traded by large numbers and types of players, including financial institutions, they have become more prone to herding behavior in the short time and sometimes losing its status as a proxy of global trade.
Well, what most of them have been showing recently is that so far global trade measured in volume keep improving. Below some charts of those indexes:
CPB global trade volume and prices
RWI Container Throughput Index
next, Cass Freight Index and Intermodal Traffic Index. Both are more related to US trade but also corroborating with the idea of a more healthy global trade
I don't like much the Baltic dry index because it also has the component of supply/demand of ships affecting it but if you like it...
Last but not least, it seems even Dr Copper is telling the same story.
Will keep following them closely and give the heads up if the picture changes.
segunda-feira, 6 de março de 2017
Commodity prices in general have been soaring for almost one year and based on year over year returns are now at levels only seen a few times. Though very often prices, specially for assets wide traded, usually front run the real economy, with some time in our favor it is possible to at least question those price actions. Possibly could be too early to question that but its getting intriguing in my humble opinion.
Some charts and thoughts below:
Commodities (equal weighted index) YoY + 2 standard deviation.
In the meantime global trade volume (CPB data) have improved somewhat but hardly to the same extend as commodity prices. Last time we have seem those price levels trade volume were running at 5 to 10% against 3% now on YoY. (trade volume LHS)
using the two Y axes:
by the way, its also interesting how trade volume is weak and lagging behind some other economic measures that it used to have some correlation like the US ISM PMI.
Built this easy model to figure out at least to some extend if prices have been running too wild.
Used DXY, real USD yield, global trade and VIX to model it. (R2=0.60). Not perfect but can give some idea. Data up to December (because of CPB global trade).
Finally, another point made by some people is the level of inventory of some commodities, specially iron ore. I have no data to work here on my own so just relying on others. But they seems to point on the same direction. Commodities could be going a bit ahead of itself.
(can't remember now the source of the chart above)
quinta-feira, 8 de setembro de 2016
BRL and other brazilian assets have run quite a wild path last 4 years. From the “country of the future” to most hated EM and now to some “OK back to business”. No intention to tell the whole story again now once most know it very well. What calls my attention now is that perhaps once the excesses of the downside relative to other currencies has worked out it seems now for me that the optimism has also run its course in relative value to other EM's. Important to notice the “relative” because I still believe commodities has a way to go up so BRL will still benefit from it but Im concerned the “very cheap” is behind, both in relative value and also in fundamental terms.
Currency is probably one of the worst markets to predict. Besides many factors acting at the the same time they also change in importance during the time. Not to say that sometimes it seems no fundamental factor works at all. But sure tones of models can be made and at least we are not in the middle of nowhere without a compass.
Built this simple one below using only commodities and CDS. Chart is YoY %
Not only not cheap but also a bit expensive.
On relative value against an equal weighted EM basket it also doesn't look very cheap anymore.
segunda-feira, 1 de agosto de 2016
A lot attention has been paid to the yield curve recently, specially the 10 years minus 2 years US treasure spread (spread). In fact many papers have been written on the subject and the important prediction function that the spread has on US economic cycles and recession. However since the introduction of the ZIRP the nature of the spread seems to have changed. Looking through the data since 1978 until ZIRP its possible to notice that the most important driver of the spread has been the short term interest rate, more specifically the Fed funds, and not the long tail. But after ZIRP things changed and because the short term is anchored by the Fed funds the spread has been driven by the long tail. So, looking for the spread nowadays could be misleading in terms of recession prediction. Sure a recession is always possible but this time it wont be caused by the usual driver of the spread, what reduces its importance in my view.
Fed Funds, curve flattening and recessions:
the flattening of the curve and FED funds hiking cycle is very similar. But to measure better the effect of Fed Funds and the 10 Years UST on the spread I ran a couple o simple regressions below.
First the impact of FED Funds on the spread since 1978:
and from 1978 until 2007 just before the crisis...
things are pretty much different for the UST 10Y:
However, since 2010 things changed and UST is the main driver of the spread now, not surprisingly once the 2Y has been anchored by the Fed funds.
What can be seen here also...
If the the spread is important because most of it is driven by the short term rates it must be important to question its meaning now that the driver has changed. NBER has a paper that through a much deeper analyzes also finds more prediction power on the short term rates instead (http://www.nber.org/papers/w10672.pdf).