Weekly Chart: Term Spread Differentials (US, Germany and Japan)

In this article, we define the term spread of a specific country by the difference between the long-term (10Y) and the short-term (2Y) sovereign yield, which is also referred as the yield curve. As we mentioned it in one of our previous Weekly Chart articles (here), empirical research has shown a significant relationship between the real economic activity of a country and the yield curve. In today’s edition, we chose to look at the historical developments of the term spread differentials, between the US and Germany and the US and Japan.

Over time, we notice that the term spread has some interesting co-movement with the exchange rate. For instance, between 2005 and 2017, a widening term spread differential between the US and Germany was favourable to the USD/EUR exchange rate (here), meaning that the Euro was appreciating when the US yield curve was steepening more significantly than the German one. However, we saw that the relationship between the two times series broke down in early 2017 and has actually reversed over the past 14 months (here). In other words, based on the current market levels, the 2Y10Y term premium in Germany offers 56bps more than the US. Hence, as the term structure in the US has flattened strongly relative to Germany (yield curve steepened from 50bps in July 2016 to 118bps), the US Dollar depreciated.

This chart shows the evolution of the term spread differentials – between US and Germany and between US and Japan – since 1985. We can observe a strong correlation between the two times series over the past 30 years, with the term spread differential against Germany trading at -57bps, its lowest level since June 2006, and at 42bps against Japan, its lowest level since June 2008, respectively. An interesting observation comes out when we look at the spread between the two TS differentials (US-Japan vs. US-DE), which simply comes back at looking at the cross term spread differential between Germany and Japan. At the exception of the year 1992, the DE-Japan TS differential has always traded between -1% and +1%, and is currently standing at the high of its long-term range. The TS differential currently trades at +1% on the back of a steepening German yield curve since the summer of 2016 (2Y10Y moved from 52bps in July 2016 to 119bps today). It it a good time to play the convergence between the two term structure, i.e going long the German 2Y10Y term spread and short Japan 2Y10Y? The risk of the trade is on Japan side, as shorting the 2Y10Y would imply a steepening yield curve with either the 2Y yield going down or the 10Y rising. With the current BoJ ‘yield curve control’ (YCC) policy, we know that a steepening yield curve in Japan is difficult for the time being, but it will be interesting to see where TS differentials stand in a couple of months.

Chart: Term spread Differentials – Japan and Germany vs. US (Source: Reuters Eikon)

Term Spreads ALl

Weekly Chart: Italy EPU Index vs. 10Y Bond Yield

The recent results in Italian’s election held on March 4th wasn’t really a surprise for market participants, with EURUSD barely moving (the pair is actually up 2.5 figures over the past week) and the 5Y CDS spread (vs. Germany) flat at around 92bps (here). According to the latest estimates, the populist Five-Star movement, created by comedian Beppe Grillo and led by its prime ministerial candidate Luigi di Maio, came in first individually capturing 32.7% of the votes. However, if we look at the coalitions results, the Center-Right coalition got 37% of the vote shares, with the alliance including the League with 17.4%, former prime minister Silvio Berlusconi’s Forza Italia (14%) and the Brothers of Italy (4.4%) and US with Italy (1.3%) parties. The disappointment was for the Democratic Party, which has governed Italy since 2013, as the Center-Left coalition captured ‘only’ 23% of the vote shares (much lower than the 27+% estimates, here), prompting former PM Matteo Renzi to step down as party leader. The FT published an interesting graphic lately, showing the geography of the electoral vote: Italy, the politically divided country (here). As you can see it, the Five-Star movement made the largest gain in the South (including Sardinia), in regions with the lowest per capita income.

Hence, following the election results, an interesting chart to watch in the weeks to come is the 10Y Bond yield vs. the Italy EPU index. As a reminder, the Economic Policy Uncertainty (EPU) index was developed by Baker, Bloom and Davis (2016) as a measure of economic policy uncertainty based on newspaper coverage frequency. The authors studied the evolution of political uncertainty since 1985 across countries (12 including the US) using leading newspapers that contain a combination of three of the target terms: economy, uncertainty and one or more policy-relevant terms (For the European EPU index, the author used two leading newspapers per country). Since its inception, the index has gained popularity in practice, measuring another form of market’s volatility or uncertainty. Baker et al. found that elevated political uncertainty has negative economic effects, which can potentially impact market prices.

This chart plots the EPU index versus the Italy 10-year bond yield. We can observe an interesting correlation between the two series. Since the financial crisis, it looks like LT sovereign yields have been rising when the EPU index increased ahead of a political or economic uncertain event. For instance, during the European debt crisis of 2010 – 2012, the EPU Index for Italy rose from 75 to over 200, while the 10Y yield skyrocketed from 4% to 7%. The financial meltdown in the Euro area was then halted after ECB Draghi’s “Whatever it takes to preserve the Euro” famous words at a global investment conference in London on 26 July, 2012.

As we mentioned in our previous posts, we don’t see any imminent risk for Italy, however a potential threat to investors would be a prolonged period of political instability. The question now is: can a rise in Italian LT yields in the next few months lead to a contagion to other peripheral countries’ bond yields (i.e. Spain or Portugal, here)?

Chart: Italy EPU Index (lhs) vs. 10 bond yield 

(Source: Eikon Reuters, policyuncertainty.com)


The Balassa-Samuelson Effect and The MEVA G10 FX Model

Abstract: In this study, we introduce Danske’s Medium Term FX Evaluation model (MEVA G10 FX), a framework that falls within the class of the Behavioural Equilibrium Exchange Rate (BEER) models. An important concept of the BEER model is that there is no prior theory for the choice of economic variables; hence, the choice of variables is based on economic intuition and data simplicity and availability.

Using two medium-term G10 FX drivers – a gauge of the Balassa-Samuelson effect and the terms of trade – we run a Fixed-Effect panel regression on the G10 currencies, using the US Dollar and the Euro as the base currencies.

PDF LINK ===========================> MEVA G10

EXCEL DATA LINK ====================> MENA FX – Quarterly Data


Results of our study (FX Q1 2018 spot rates were from mid-february)