Emerging Markets
Highlights The short-term trade is to overweight the DAX or Euro Stoxx 50… …versus German bunds or the S&P 500. These trades have outperformed since late last year and can continue to do so for a while longer. But moving into the second half of the year, it will be time to take profits in these growth-sensitive trades. The long-term position is to own German real estate equities. The hedged position is long German real estate equities, short Swedish real estate equities. Feature Let’s begin with a trivia question. What do Germany, Finland, and Ireland have in common, that the other EU28 countries do not have? Chart of the WeekEuro Stoxx 50 Vs. S&P500 And EM Vs. DM Have Followed Near Carbon Copy Profiles The answer: Germany, Finland, and Ireland are the only three European countries that have a trade surplus with China.1 Germany Catches A Cold When China Sneezes… Chart 2Slowdown In Germany And Finland, No Slowdown In France And Spain Germany and Finland are the European economies most exposed to China, with 17 percent and 14 percent respectively of their extra-EU28 exports heading to the dominant emerging economy (for Ireland it is only 7 percent). This equates to almost 3 percent of GDP for Germany and around 1.5 percent for Finland. Hence, when China sneezes – as it did last year – Germany and Finland are the European economies most likely to catch a cold. It is not a coincidence that Germany and Finland suffered near identical short-term slowdowns in 2018 with the pain focussed in the third quarter. By contrast, the European economies with much less exposure to China – say, France and Spain – suffered no discernible slowdown (Chart I-2). In fact, Spain seemed completely unaffected, growing at a steady and robust 2 percent clip throughout 2018! The corollary is that when China rebounds – as it has recently – Germany and Finland are the European countries most likely to benefit. Since early January, Germany’s DAX has outperformed the 10-year German bund by 15 percent. For the past three months, the DAX has also outperformed the S&P 500, albeit modestly. The trends can continue for a while, but be warned: these short-term cyclical moves are likely to reverse later in the year, perhaps viciously. More about this later. …But Germany’s Structural Growth Model Has Changed Germany’s gross exports of €1.6 trillion equate to almost half of its €3.4 trillion economy. Inevitably, this makes the German economy highly vulnerable to down-oscillations in global growth as, for example, when China sneezes. But here’s the paradox: while the level of German exports is very high, it has been flat-lining at this elevated level since 2012 (Chart I-3). Hence, Germany is no longer deriving any structural growth from its export sector. All of Germany’s post-2012 structural growth has come from domestic demand. Germany’s structural growth model has changed. Through 1999-2007, Germany’s net export contribution accounted for the vast majority of its structural growth; and in 2008, net exports accounted for two-thirds of Germany’s severe economic contraction. But remarkably, since 2012, net exports have made no contribution to Germany’s structural growth (Chart I-4). Meaning that all of Germany’s post-2012 structural growth has come from domestic demand. Chart 3The Level Of German Exports Is High But Flat-Lining Chart 4Since 2012, Net Exports Have Made No Contribution To Germany's Structural Growth One manifestation of this is the post-2012 recovery in Germany’s real estate market. When Germany was deriving most of its growth from external demand, the domestic real estate market withered. In recent years, when growth has come from domestic demand, Germany’s real estate market has started to flourish (Chart I-5). Chart 5German Real Estate Prices Still Need To Catch Up Chart 6German Real Estate Book Values Have Trebled With Germany’s average house price, in real terms, at the same level as it was in 1995, there is still considerable upside outside the major cities such as Berlin, Frankfurt, and Munich. Especially so, because one of the main enemies of the real estate market – substantially higher bond yields – will be absent for some time.2 The strong performance of German real estate equities – a near trebling since 2012 – is just tracking the strong performance of their book values (Chart I-6), which itself is a leveraged function of real estate prices. On the basis that the real estate sector is benefiting from a structural tailwind, the sector is a long-term hold, but for those who want to hedge their exposure, the recommendation is: long German real estate equities, short Swedish real estate equities. What Is Driving Euro Stoxx Outperformance? In response to this week’s title question, some people will ask: has Euro Stoxx 50 outperformance even started? The answer is a clear yes. Relative to both global equities and the S&P 500, the Euro Stoxx 50 has been in a well-established – though modest – uptrend since last September. Interestingly, emerging markets (EM) versus developed markets (DM) has followed a near carbon copy profile, albeit the outperformance was front-end loaded (Chart of the Week and Chart I-7). Euro Stoxx 50 has been gently outperforming. Can this continue? Recent history is not very encouraging. Since the Global Financial Crisis, no bout of Euro Stoxx 50 outperformance has lasted more than a year (Chart I-8). If this pattern continues to hold, it implies that the current bout of Euro Stoxx 50 outperformance will be exhausted within another four months. Chart 7Euro Stoxx 50 Has Been Gently Outperforming Chart 8Euro Stoxx 50 Vs. S&P500 ##br##Follows… Chart 9…Euro Area Banks Vs. U.S. Tech Could it be different this time? We think not. Euro Stoxx 50 performance relative to the S&P 500 lines up almost perfectly with the relative performance of euro area banks versus U.S. tech (Chart I-9). Given that this defines the sector skew ‘fingerprint’ of the relative position, this defining relationship is fundamental. Meaning that for the Euro Stoxx 50 to outperform the S&P 500 on a sustained basis, euro area banks have to outperform U.S. tech. Likewise, EM versus DM lines up almost perfectly with the relative performance of global resources versus global healthcare (Chart I-10 and Chart I-11). Again, this is not surprising as this just defines the sector skew fingerprint of EM versus DM. Admittedly, in this case the causality could sometimes run from the EM economy to the sector performance – given China’s role in driving resource demand – rather than from sector relative performance to EM versus DM. Nevertheless, for EM to outperform DM, resources have to outperform healthcare. EM versus DM lines up almost perfectly with the relative performance of global resources versus global healthcare. Since last autumn, Euro Stoxx 50 versus S&P 500 and EM versus DM have followed near carbon copy profiles because growth-sensitive financials and resources have outperformed less growth-sensitive technology and healthcare. Chart 10EM Vs. DM Follows… Chart 11…Basic Resources Vs. Healthcare From Sweet Spot To Weak Spot Nevertheless, there is a puzzle: why have growth-sensitive sectors, the DAX, Euro Stoxx 50, and EM outperformed since late last year when the high-profile hard economic data – such as GDP growth and CPI inflation – have been unambiguously weak? High-profile hard data are a record of what happened in the past. The simple answer is that these high-profile hard data are a record of what happened in the past, sometimes the distant past. Yet they matter because central banks’ increasingly ‘data dependent’ reaction functions have become slaves to this backward-looking data. Here’s the paradox: the ‘sweet spot’ for growth-sensitive sectors and markets is when the high-profile backward-looking data – GDP and inflation – are actually weak, while real-time measures of growth – such as short-term credit impulses – are strengthening. This creates a win-win for markets because the dovish pivot by data-dependent central banks lifts asset valuations and the acceleration in real-time growth lifts profit expectations. Sound familiar? It describes the situation since last autumn, and explains why the DAX, Euro Stoxx 50, and EM have outperformed. Now comes the unfortunate corollary: the ‘weak spot’ for growth-sensitive sectors and markets is when the high-profile backward-looking data are strong, while real-time measures of growth – such as short-term credit impulses – are weakening. This is a lose-lose for markets because the hawkish pivot by central banks weighs on asset valuations and the deceleration in real-time growth depresses profit expectations. Almost certainly, this will be the situation later in the year as the high-profile hard data starts to perk up – removing some of the central bank support for valuations – just as short-term credit impulses inevitably roll over – weighing on profit growth expectations. To sum up, growth-sensitive sectors, the DAX, and Euro Stoxx 50 have outperformed since late last year, especially versus bonds and cash – in line with our house view. These trends can continue for a while longer. But moving into the second half of the year, these growth-sensitive positions will transition from sweet spot to weak spot, and it will be time to take profits. As ever, we will tell you when. Stay tuned. Dhaval Joshi, Chief European Investment Strategist dhaval@bcaresearch.com Fractal Trading System* This week, we note that that the 65-day fractal dimension for technology versus healthcare is at an all-time low – implying that the recent strong outperformance is highly vulnerable to a technical reversal. Accordingly, this week’s recommended trade is short technology versus healthcare with a profit target of 6.5 percent and a symmetrical stop-loss. In other trades, we are pleased to report that long aluminium versus tin achieved its 6.5 percent profit target at which it was closed. This leaves five open positions. For any investment, excessive trend following and groupthink can reach a natural point of instability, at which point the established trend is highly likely to break down with or without an external catalyst. An early warning sign is the investment’s fractal dimension approaching its natural lower bound. Encouragingly, this trigger has consistently identified countertrend moves of various magnitudes across all asset classes. Chart I-10 The post-June 9, 2016 fractal trading model rules are: When the fractal dimension approaches the lower limit after an investment has been in an established trend it is a potential trigger for a liquidity-triggered trend reversal. Therefore, open a countertrend position. The profit target is a one-third reversal of the preceding 13-week move. Apply a symmetrical stop-loss. Close the position at the profit target or stop-loss. Otherwise close the position after 13 weeks. Use the position size multiple to control risk. The position size will be smaller for more risky positions. * For more details please see the European Investment Strategy Special Report “Fractals, Liquidity & A Trading Model,” dated December 11, 2014, available at eis.bcaresearch.com. Footnotes 1 Based on the EU28 net exports of goods to China in 2018 by Member State. 2 Please see the European Investment Strategy Weekly Report ‘Monetarists, Keynesians, And Modern Monetary Theory’ April 11 2019 available at eis.bcaresearch.com. Recommendations Asset Allocation Equity Regional and Country Allocation Equity Sector Allocation Bond and Interest Rate Allocation Currency and Other Allocation Closed Fractal Trades Trades Closed Trades Asset Performance Currency & Bond Equity Sector Country Equity Indicators Bond Yields Chart II-1Indicators To Watch - Bond Yields Chart II-2Indicators To Watch - Bond Yields Chart II-3Indicators To Watch - Bond Yields Chart II-4Indicators To Watch - Bond Yields Interest Rate Chart II-5Indicators To Watch - Interest Rate Expectations Chart II-6Indicators To Watch - Interest Rate Expectations Chart II-7Indicators To Watch - Interest Rate Expectations Chart II-8Indicators To Watch - Interest Rate Expectations
Highlights So what? Quantifying geopolitical risk just got easier. Why? In this report we introduce 10 proprietary, market-based indicators of country-level political and geopolitical risk. Featured countries include France, U.K., Germany, Italy, Spain, Russia, South Korea, Taiwan, Turkey, and Brazil. Other countries, and refinements to these beta-version indicators, will come in due time. We remain committed to qualitative, constraint-based analysis. Our GeoRisk Indicators will help us determine how the market is pricing key risks, so we can decide whether they are understated or overstated. Feature For the past three months we have been tracking a “Witches’ Brew” of political risks that threaten the late-cycle bull market. Some of these risks have abated for the time being: the Fed is on pause, China’s stimulus has surprised to the upside, and Brexit has been delayed. Other risks we have flagged, however, are heating up: Iran And Oil Market Volatility: Surprisingly the Trump administration has chosen not to extend oil sanction waivers on Iran from May 2, putting 1.3 million barrels per day of oil on schedule to be removed from international markets by an unspecified time. It remains to be seen how rapidly and resolutely the administration will enforce the sanctions on specific allies and partners (Japan, India, Turkey) as well as rivals (China, others). Because the decision coincides with rising production risks from renewed fighting in Libya and regime failure in Venezuela, we expect President Trump to phase in the new enforcement over a period of months, particularly on China and India. But official rhetoric is draconian. Hence the potential for full and immediate enforcement is greater than we thought. In the short term, individual political leaders, and very powerful nations like the United States, can ignore material economic and political constraints. Since the Trump administration’s decision exemplifies this point, geopolitical tail risks will get fatter this year and next. Global oil price volatility and equity market volatility will increase with sanction enforcement actions and retaliation. We would think that Trump’s odds of reelection will marginally suffer, though for now still above 50%, as any full-fledged confrontation with Iran will raise the chances of an oil price-induced recession. U.S.-EU Trade War: Neither the Trump administration nor the U.S. has a compelling interest in imposing Section 232 tariffs on imports of autos and auto parts. Nevertheless the risk of some tariffs remains high – we put it at 35% – because President Trump is legally unconstrained. The decision is technically due by May 18 but Economic Council Director Larry Kudlow has said Trump may adjust the deadline and decide later. Later would make sense given the economic and financial risks of the administration’s decision to ramp up the pressure on Iran.1 But the risk that tariffs will pile onto a weak German and European economy will hang over investors’ heads. U.S.-China Talks Not A Game Changer: The ostensible demand that China cease Iranian oil imports immediately and the stalling of U.S. diplomacy with North Korea are not conducive to concluding a trade deal in May. We have highlighted many times that strategic tensions will persist even if Beijing and Washington quarantine these issues to agree to a short-term trade truce. The June 28-29 G20 meeting in Japan remains the likeliest date for a summit between Presidents Trump and Xi Jinping, but even this timeframe could be too optimistic. Continued uncertainty or a weak deal will fail to satisfy financial markets expecting a very positive outcome. With a 70% chance that U.S. tariffs on China will not increase this year and, contingent on a U.S.-China deal, only a 35% chance that the U.S. slaps tariffs on German cars, we sound optimistic to some clients. But the Trump administration’s decision on Iran is highly market-relevant and portends greater volatility. We expect to see a geopolitical risk premium creep higher into oil markets as well as a greater risk of “Black Swan” events in strategically critical or oil-producing parts of the Middle East. There is limited research devoted to quantifying geopolitical risk. We are late in the business cycle and President Trump has emphatically decided to increase rather than decrease geopolitical risk. Quantifying Geopolitical Risk Geopolitical analysis has taken a bigger role in investors’ decision-making over the last decade. Surveys show that geopolitical risks rank among global investors’ top concerns overall. In the oft-cited Bank of America Merrill Lynch survey, geopolitical and related issues have dominated the “top tail risk” responses for the past half-decade (Chart 1). In other surveys, the most worrisome short-term risks are mostly political or geopolitical in nature, ranking above socio-economic and environmental risks (Chart 2). Despite this high level of concern, there is limited research devoted to quantifying geopolitical risk. Isolating and measuring the range of risks under this umbrella term remains a challenge. As such, for many investors, geopolitics remains an ad hoc, exogenous factor that is often mentioned but rarely incorporated into portfolio construction. For the past four decades the predominant ways of measuring political or geopolitical risk have been qualitative or semi-qualitative. The Delphi technique, developed on the basis of low-quality data sets in social sciences, relies on pooled expert opinions.2 Independently selected experts are asked to provide risk assessments and their responses are then interpreted by analysts to create a measure of risk. Another semi-qualitative method of measuring geopolitical risk ranks countries according to a set of political and socio-economic variables. These variables – such as governance, political and social stability, corruption, law and order, or formal and informal policies – are extremely important but inherently difficult to quantify.3 These results are useful but suffer from dependency on expert opinion, data quality, and institutional biases. More importantly, these methods are slow to react to breaking events in a rapidly changing world. The same goes for bottom-up assessments using political intelligence. The weakness of these methods is that it is highly unlikely that they will produce statistically significant estimates of risk. The odds of getting a “silver bullet” insight from a “key insider” are decent for simple political systems, but not in the complex jurisdictions that host the vast majority of global, liquid investments. Quantitative approaches to measuring geopolitical risk have since become more widespread. The most prominent method is based on quantifying the occurrence of words related to political and geopolitical tensions that appear in international newspapers. These word-counts typically include terms like “terrorism,” “crisis,” “war,” “military action,” etc. As a result, the indices reflect incidents of physical violence or other “Black Swan” events that may not have direct relevance to financial markets. Moreover, while news-based indices accurately capture dramatic one-time peaks at the time of a crisis, they are largely flat aside from these, as they rely on popular topics rather than underlying structural trends (Chart 3). They fail to capture geopolitical developments associated with electoral cycles, protest movements, paradigm shifts in economic policy, or other policy changes.4 Notice, for instance, that the fall of the Soviet Union in late 1991 and the resulting chaos in Russia and many other parts of the emerging world hardly register in Chart 3. Chart 3News-Based Indices Only Capture Crisis Peaks, Not Geopolitical Developments Introducing BCA’s GeoRisk Indicators The past 70 years have taught BCA Research to listen and respect the market. Why would we suddenly follow the media instead? Most quantitative geopolitical indicators begin with the premise that journalists and the news-reading public have accurately emphasized the most relevant risks and uncertainties. They proceed to quantify the terms of these assessments with increasingly sophisticated methods. This approach solves only part of the puzzle. News-based indices ... fail to capture geopolitical developments associated with underlying policy changes. At BCA Geopolitical Strategy, we aim to generate geopolitical alpha.5 This means identifying where financial media and markets overstate or understate geopolitical risks. We do not primarily aim to predict events or crises. As such, traditional news-based indicators that capture only major events, even those ex post facto, are of little relevance to our analysis. What is needed is a better way to quantify how the market is calculating risks. We start with a simple premise: the market is the greatest machine ever created for gauging the wisdom of the crowd. Furthermore, it puts its money where its predictions are, unlike other methods of geopolitical risk quantification which have no “value at risk.” Chart 4USD/RUB Captures Geopolitical Risk In Russia... To this end, we have introduced market-based indicators over the years that rely on currency movements, which are often the simplest and most immediate means of capturing the process of pricing risk. In 2015, for instance, we introduced an indicator that measures Russia’s geopolitical risk premium (Chart 4). It is constructed using the de-trended residual from a regression of USD/RUB against USD/NOK and Russian CPI relative to U.S. CPI. We can show empirically that it captures geopolitical risk priced into the ruble, as the indicator increases following critical incidents. These include the downing of Malaysian Airlines Flight 17 over eastern Ukraine in 2014; the warnings that Russia aimed to stage a “spring offensive” in Ukraine in 2015; Russian military intervention in the Syrian Civil War later that year; and the poisoning of former intelligence agent Sergei Skripal in the U.K. in 2018 and subsequent tensions. Using similar methods, we created a proxy to capture geopolitical risk in Taiwan, based on USD/JPY and USD/KRW exchange rates and relative Taiwanese/American inflation (Chart 5). The indicator tracks well with previous cross-strait crises. It jumped upon Taiwan’s election of President Tsai Ing-wen and her pro-independence government in January 2016 – and this was well before any tensions actually flared. It even registered a small increase upon her controversial phone call congratulating Donald Trump upon winning the U.S. election. Chart 5...And USD/TWD Captures Geopolitical Risk In Taiwan This year we have expanded on this work, constructing a set of ten standardized GeoRisk Indicators for five developed economies and five emerging economies: U.K., France, Germany, Spain, Italy, Russia, Turkey, Brazil, Korea, and Taiwan. Indicators for the U.S., China, and others will be rolled out in a future report. These indicators attempt to capture risk premiums priced into the various currencies – except for Euro Area countries, where the risk is embedded in equity prices. In each case, we look at whether the relevant assets are decreasing in value at a faster rate than implied by key explanatory variables. The explanatory variables consist of (1) an asset that moves together with the dependent variable while not responding to domestic geopolitical risks, and (2) a variable to capture the state of the economy. This set of indicators differs from our earlier indicators in the following ways: We aim to create a simple methodology that we can apply consistently to all countries, both in the DM and EM universes. We therefore omitted using regression models that can prove to be quite whimsical. Instead, we simply looked at the deviation of the dependent variable from the explanatory variables, all in expanding standardized terms, to create the GeoRisk proxy. We wanted an indicator that would immediately respond to priced-in risks, so we opted for a daily frequency rather than the weekly frequency we used in our initial work. To get as accurate of a signal as possible, we use point-in-time data. Since economic data tends to be released with a one-to-two-month lag, we lagged the economic independent variable to correspond to its release date. All ten indicators are shown in the Appendix. Across all countries, they track well with both short-term events and long-term trends in geopolitical risk. In the case of France, for example, the indicator steadily climbs during the period of domestic tensions and protests in the early 2000s; as the European debt crisis flares up; again during the rise of the anti-establishment Front National and the Russian military intervention in Ukraine; and finally during the U.S. trade tariffs and Yellow Vest protests (Chart 6). Our GeoRisk indicators isolate risks that either originate internally or otherwise affect the country more so than others. Similarly, in Germany, there is a general increase in perceived risk as Chancellor Gerhard Schröder implements structural reforms in the early 2000s; another increase leading up to the leadership change as Angela Merkel is elected Chancellor; another during the global and European financial crises; another during the Ukraine invasion and refugee influx; and finally another with the U.S.-China trade war (Chart 7). Chart 6Our French Indicator Picks Up Domestic And European Unrest Chart 7Greater German Risk Amid The Trade War We have annotated each country’s GeoRisk indicator heavily in the appendix so that readers can see for themselves the correspondence with political events. The indicators are affected by international developments – like the Great Recession – but we have done our best to isolate risks that either originate internally or otherwise affect the country more than other countries. (As a consequence, the Great Recession is muted in some cases.) What are the indicators telling us now? Most obviously, they highlight the extreme risk we have witnessed in the U.K. over the now-delayed March 29 Brexit deadline. We would bet against this risk as the political reality has demonstrated that a “hard Brexit” is very low probability: the U.K. has the ability to back off unilaterally while the EU is willing to extend for the sake of regional stability. In this sense the pound is a tactical buy, which our foreign exchange strategist Chester Ntonifor has highlighted.6 Our U.K. risk indicator has been fairly well correlated with the GBP/USD since the global financial crisis and it suggests that the pound has more room to rally (Chart 8). Chart 8Betting Against A Hard Brexit, the GBP Is A Tactical Buy Meanwhile, Spanish risks are overstated while Italy’s are understated. As for the emerging world, Turkish risks should be expected to spike yet again, as divisions emerge within the ruling coalition in the wake of critical losses in local elections and a failure to reassure investors over monetary policy and the currency. Brazilian risks will probably not match the crisis points of the impeachment and the 2018 election, at least not until controversial pension reforms reach a period of peak uncertainty over legislative passage. Both our new Russian indicator and its prototype are collapsing (see Chart 4 above). This captures the fact that we stand at a critical juncture in Russian affairs, where President Putin is attempting to shift focus to domestic stability even as the U.S. and the West maintain pressure on the economy to deter Russia from its aggressive foreign policy. Given that both Putin’s and the government’s approval ratings are low amid rising oil prices, the stage is set for Russia to take a provocative foreign policy action meant to distract the populace from its poor living conditions. Venezuela is the obvious candidate, but there are others. Moscow will want to test Ukraine’s newly elected, inexperienced president; it may also make a show of support for Iran. With Russia equities having rallied on a relative basis over the past year and a half, and with the Iranian waiver decision already boosting oil prices as we go to press, the window of opportunity to buy Russian stocks is starting to close. (We remain overweight relative to EM on a tactical horizon; our Emerging Markets Strategy is also overweight.) Going forward, we will update these risk indicators regularly as needed and publish the full appendix at the end of every month along with our long-running Geopolitical Calendar. We will also fine-tune the indicators as new information comes to light. In other words, here we present only the beta version. We hope that these indicators will help inform investors as to the direction, and even magnitude, of political risks as the market prices them. Our GeoRisk indicators are not predictive, as establishing a trend is not a prediction. The main purpose of this exercise is to answer the critical question, “What is already priced in?” How is the market currently calculating geopolitical risk for a country? After that, it is the geopolitical strategist’s job to unpack this question through qualitative, constraint-based analysis. It is when our qualitative assessments disagree with what is priced in that we can generate geopolitical alpha. Ekaterina Shtrevensky, Research Analyst ekaterinas@bcaresearch.com Matt Gertken, Vice President Geopolitical Strategist mattg@bcaresearch.com Marko Papic Consulting Editor marko@bcaresearch.com Footnotes 1 See Sean Higgins, “Auto tariffs decision could be delayed, Kudlow says,” Washington Examiner, April 3, 2019, www.washingtonexaminer.com. 2 Norman C. Dalkey and Olaf Helmer-Hirschberg, “An Experimental Application of the Delphi Method to the Use of Experts,” Management Science, Vol. 9, Issue: 3 (April 1963) pp. 458- 467. 3 Darryl S. L. Jarvis, “Conceptualizing, Analyzing and Measuring Political Risk: The Evolution of Theory and Method,” Lee Kuan Yew School of Public Policy Research Paper No. LKYSPP08-004 (July 2008). William D. Coplin and Michael K. O'Leary, "Political Forecast For International Business," Planning Review, Vol. 11 Issue: 3 (1983) pp.14-23. The PRS Group, “Political Risk Services”™ (PRS) or the “Coplin-O’Leary Country Risk Rating System”™ Methodology. Daniel Kaufmann, Aart Kraay, and Massimo Mastruzzi, “The Worldwide Governance Indicators: Methodology and Analytical Issues,” World Bank Policy Research Working Paper No. 5430 (September 2010). 4 Scott R. Baker, Nicholas Bloom, and Steven J. Davis, “Measuring Economic Policy Uncertainty,” The Quarterly Journal of Economics, Volume 131, Issue 4, November 2016 (July 2016) pp.1593–1636. Dario Caldara and Matteo Iacoviello, “Measuring Geopolitical Risk,” Board of Governors of the Federal Reserve Board, Working Paper (January 2018). 5 Please see BCA Research Geopolitical Strategy Special Report, “Five Myths On Geopolitical Forecasting,” dated July 9, 2018, available at gps.bcaresearch.com. 6 Please see BCA Foreign Exchange Strategy Weekly Report, “Not Out Of The Woods Yet,” April 5, 2019, available at www.bcaresearch.com. Appendix Appendix France Appendix U.K. Appendix Germany Appendix Italy Appendix Spain Appendix Russia Appendix Korea Appendix Taiwan Appendix Turkey Appendix Brazil What’s On The Geopolitical Radar? Geopolitical Calendar
Our Emerging Markets Strategy team performed a simulation including in the public budget, all of Pemex’s payments and all its receipts from the government. While the overall fiscal position deteriorates, it is not unsustainable. The primary and…
Our Emerging Markets Strategy team has incorporated Pemex into their budget analysis. The resulting fiscal deterioration is not calamitous. Specifically, international credit agencies estimate that Pemex needs an additional $13 billion to $20 billion in…
Although, a closer look at debt sustainability in Mexico reveals a different picture. Mexico’s public debt level including the debt of state-owned enterprises is lower than those in Brazil and South Africa. Notably, Mexico’s public debt-to-GDP ratio has been…
Highlights The Taiwanese equity market has closely tracked the global benchmark over the past few years, meaning Taiwan is particularly an “alpha” rather than a “beta” play. This means that a bullish 6-12 month outlook for Taiwanese relative performance rests on the odds of a positive “Taiwan-specific” event. In our view, the forthcoming recovery in Chinese economic activity likely qualifies as an alpha catalyst for Taiwanese stocks over the coming 6-12 months, given the strong link between export-related indicators and Taiwanese relative performance. Investors should increase exposure relative to global equities (to overweight) over a 6-12 month time horizon in US$ terms. Evidence of Taiwanese central bank intervention implies that there is limited potential for TWD appreciation versus the U.S. dollar over the coming year. Our bet is that TWD-USD will remain broadly flat. Feature BCA’s China Investment Strategy team recommended that investors upgrade Chinese stocks to overweight (both investable and domestic) in an April 12 Special Alert,1 and last week’s report provided a detailed analysis and review of the Chinese economic and financial market outlook following our upgrade.2 This week’s report briefly updates the outlook for Taiwanese stocks, and argues that investors should increase exposure relative to global equities (to overweight) over a 6-12 month time horizon in US$ terms. However, we see somewhat less upside for Taiwanese stocks than for Chinese stocks, and recommend that investors reduce exposure to neutral once Taiwan registers a 6% relative return (versus the global benchmark) over the coming year. Relative To Global Stocks, Taiwan Is An Alpha (Not A Beta) Play It is a little known fact that Taiwan’s equity market has exhibited a remarkably different relative performance profile over the past decade than it did during the prior decade. On a rolling 10-year basis, Chart 1 shows that Taiwan consistently ranked poorly relative to other equity markets until the onset of the global financial crisis. But since 2008, and especially since 2013, Taiwan’s relative performance has improved meaningfully compared with other markets, recently scoring as highly as in the 90th percentile. Chart 2 highlights that this comparative improvement in relative performance has largely occurred because Taiwan has neither significantly outperformed or underperformed the global benchmark, in contrast to the U.S., emerging markets (EM), and developed markets (DM) ex-U.S. Chart 2 shows that regional equity performance since 2008 has been a simple story of massive U.S. outperformance alongside significant EM and DM ex-U.S. underperformance. Simply by keeping up with global stocks in the aggregate, Taiwan has managed to outperform most individual equity markets over the past decade. Chart 1Over The Past Decade, Taiwan Has Ranked Highly Compared With Other Equity Markets Chart 2Since 2013, Taiwan Has Tracked Global Stocks For investors, the consequence of Taiwan closely tracking the global benchmark over the past few years is that the Taiwanese equity market is particularly an “alpha” rather than a “beta” play, implying that a bullish 6-12 month outlook for Taiwanese relative performance rests on the odds of a positive “Taiwan-specific” event. Stronger Chinese Growth: A Likely “Alpha” Catalyst In our view, the forthcoming recovery in Chinese economic activity that we discussed in last week’s report likely qualifies as an alpha catalyst for Taiwanese stocks over the coming 6-12 months. Taiwanese relative performance has already reflects some of this likely improvement, but we believe that investors stand to gain somewhat further over the coming year. Investors should increase Taiwanese equity exposure relative to global stocks (to overweight) over a 6-12 month time horizon in US$ terms. Chart 3Exports To China, 12-Month Forward EPS, And Relative Stock Prices: All Likely To Improve Chart 4Buy Taiwanese Stocks, But Book Profits After A 6% Relative Return Chart 3 presents the cyclical case for Taiwanese stocks in a nutshell. Panels 1 & 2 show that the new export orders component of the official Taiwanese manufacturing PMI rebounded massively in March, and that it has historically coincided with both Taiwanese exports to China and the relative Taiwanese Markit manufacturing PMI (versus the JPMorgan Global Manufacturing PMI). The latter, in turn, reliably leads the growth in absolute Taiwanese forward EPS, which have fallen sharply into negative territory over the past several months (Panel 3). Taiwanese relative US$ performance has typically correlated well with accelerating absolute Taiwanese forward earnings, underscoring that a period of relative gains loom. Given the likely uptrend in Taiwanese relative performance over the coming 6-12 months, we are opening a long MSCI Taiwan Index / short MSCI All Country World Index (US$) trade today, initiated at 0.725. Chart 4 highlights that a rally to 0.77 would mark both a 6% relative return from today’s levels and would almost constitute a return back to the post-2013 high in Taiwanese relative performance (90th percentile). As such, we would recommend that investors use this point as a stop-sell for our recommendation to favor Taiwanese stocks within a global equity portfolio. What’s Next For The Taiwanese Dollar? Over the coming 6-12 months, our bet is that TWD-USD will remain broadly flat. While it is difficult to conclusively prove, three observations point to recent intervention by the Taiwanese central bank, which is likely to limit major trends in the exchange rate: Over the coming 6-12 months, our bet is that TWD-USD will remain broadly flat. Chart 5The Taiwanese Dollar Has Not Been Responding To Interest Rate Differentials TWD-USD has trended flat since the middle of last year, after having fallen from its early-2018 highs. The earlier decline reflected the risk posed to the Taiwanese economy by the U.S.-Sino trade war, but was also consistent with an ever-widening interest rate differential between Taiwan and the U.S. (Chart 5). In the face of this gap and frequent positive and negative developments concerning the trade war, TWD’s extremely stable profile is quite suspicious. Chart 6 highlights that the ability of changes in the U.S. dollar to explain changes in TWD-USD has fallen sharply over the past several months, to a multi-year low. While the U.S. dollar has never been able to strongly explain changes in TWD-USD, a sudden weakening in the relationship is consistent with increased central bank intervention. In addition, panel 2 shows that the recent decline in the predictive power of the dollar has corresponded with a sharp pickup in the growth rate of official foreign exchange reserves. Chart 7 shows that TWD-CNY has been trading over the past two years at the high end of its post-2008 range. Taiwanese exports to China are meaningfully larger than those to the U.S., which highlights that there is an incentive for Taiwanese policymakers to limit further gains. To the extent that a strong link between TWD-USD and CNY-USD exists, our bias for a flat trend in the latter suggests that a strong trend in the former is unlikely. Chart 6Over The Past Year, TWD Has Largely Been Unresponsive To Dollar Moves Chart 7The Taiwanese Dollar Is Fairly Elevated Compared To CNY As a final point, limited potential for TWD appreciation versus the U.S. dollar also implies that a full return to the March 2018 high for Taiwanese relative US$ performance is unlikely. This underscores the importance of our stop-sell recommendation, and reinforces that we are favoring Taiwanese stocks as a cyclical catch-up play, rather than as a high-conviction, long-term buy. Jonathan LaBerge, CFA, Vice President Special Reports jonathanl@bcaresearch.com Footnotes 1 Please see BCA Research’s China Investment Strategy Special Alert, “Upgrade Chinese Stocks To Overweight,” published April 12, 2019. Available at cis.bcaresearch.com. 2 Please see BCA Research’s China Investment Strategy Weekly Report, “In The Wake Of An Upgrade: An Investment Strategy Post-Mortem,” published April 17, 2019. Available at cis.bcaresearch.com. Cyclical Investment Stance Equity Sector Recommendations
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