Tag Archives: bangladesh

Indonesia Slashes Rates Again: ETFs In Focus

Indonesia’s central bank cut its benchmark interest rate for the second time this year in its efforts to improve sluggish economic growth. Bank Indonesia (BI) slashed its benchmark interest rate by 25 basis points to 7%. BI had undertaken a similar sized cut in January after keeping rates unchanged for the last 10 months of 2015. The recent rate cut was largely expected as the majority of economists surveyed by Reuters had predicted that BI would cut the key rate by 25 basis points. In its efforts to ease the economy, BI not only lowered interest rates but also reduced the reserve requirement on rupiah deposits by 1 percentage point to 6.5%, effective from March 16. This move is expected to boost liquidity by more than $2.5 billion (34 trillion rupiah). These measures from the Indonesian central bank come closely on the heels of the U.S. Federal Reserve taking a dovish stance with hopes of further rate hikes fading. The Indonesian bank stated that its measures to ease monetary policy are aimed at achieving solid macroeconomic stability with reduced inflationary pressure against a backdrop of uncertain global markets. It further pointed out that it will continue to work with the government to control inflation, stimulate domestic economic growth and bring about structural reforms. The Indonesian president, Joko Widodo, popularly known as “Jokowi” has been quite vocal about his wish to see interest rates fall further to spur growth. As per a Bloomberg report, Indonesia’s economy expanded just 4.79% last year, the lowest since 2009. This year, with inflation under control, the overall sentiment is that the rates could be slashed further. In 2016, BI expects inflation to be around the mid-point of its target range of 3% to 5%. Apart from Indonesia, several other countries are also following the strategy of monetary easing, which generally comes in the form of an interest rate cut, to boost growth. Earlier this year, Bank of Japan’s (BOJ) move to impose a negative interest rate for the first time surprised the markets. The BOJ Governor Haruhiko even stated that there will be no limit to efforts for easing monetary policy. The central bank may further expand asset purchases if required. Other Asian countries including Taiwan and Bangladesh have cut rates. Meanwhile, the European Central Bank (ECB) has also hinted on further policy easing in its March 2016 meeting. Investor sentiment towards Indonesia has improved following its liberalization developments by easing restrictions on foreign investment in several industries including films, restaurants and healthcare earlier this month. Jokowi’s move to deregulate the traditionally protectionist economy should help in accelerating growth and making the Indonesian business environment more conducive for new investment. A Closer Look at 3 Indonesian ETFs In the light of these developments, we highlight three ETFs – the iShares MSCI Indonesia ETF (NYSEARCA: EIDO ) , the Market Vectors Indonesia Index ETF (NYSEARCA: IDX ) and the Market Vectors Indonesia Small-Cap ETF (NYSEARCA: IDXJ ) – that have gained 6.2%, 7.2% and 6.2%, respectively, in the last 10 days. All three have a Zacks ETF Rank of 3 or a ‘Hold’ rating with a High risk outlook. EIDO This is the most popular ETF tracking the Indonesian market with AUM of $344.3 million and average daily volume of almost 756,000 shares. The fund tracks the MSCI Indonesia Investable Market Index, holding 86 securities in its basket while charging 62 bps in annual fees from investors. The product is somewhat concentrated in both sectors and securities. The top five firms account for almost half of total assets, while from a sector point of view, financials dominates the fund’s assets with 38% share. The fund has a heavy tilt towards large-cap stocks at 84%. IDX This ETF follows the Market Vectors Indonesia Index, holding a basket of about 45 companies that are based or do most of their business in Indonesia. The product puts about 54.6% of total assets in the top 10 holdings, suggesting moderate concentration. Large caps are pretty prevalent, as these make up 83% of assets. With respect to sector holdings, financials again takes the largest share at 34.9%, followed by consumer staples (18%) and consumer discretionary (14.4%). The product has amassed $98.1 million in its asset base while it trades in volumes of around 89,000 shares. It charges 58 bps in fees per year from investors. IDXJ Unlike the other two, this is a small-cap centric fund. It is unpopular and less liquid having AUM of $5.3 million and average daily volume of about 2,000 shares. The fund tracks the Market Vectors Indonesia Small Cap Index and charges 61 bps in annual fees. Holding 29 stocks, the product does a decent job of spreading out as the top 10 securities hold about 62% weight. However, it is a bit concentrated from a sector outlook, as financials takes the top spot at 42.1% while industrials and energy round off the next two positions at 23% and 14.7%, respectively. Original Post

Take Your PIIC – Philippines, Indonesia, India Or China

Summary Consider to invest in Asia. Within Asia I believe the best countries to invest in are the Philippines, Indonesia, India, China and Vietnam. All have high growth driven by domestic consumption. All except China have incredibly low household debt to GDP compared to their Asian peers, which will allow them to easily borrow more and build more. The “Asian Century” has arrived and if you fail to invest in it you are missing an enormous long-term opportunity to grow your wealth. In this article, I discuss what I believe to be the top five Asian destinations for investment and why. But first, why invest in Asia? The answer is simply because it is growing more rapidly than any other continent on the planet. By 2030, Asia Pacific is estimated to contribute a staggering 59% of global consumption , up from 23% in 2009. Some key points from DBS on where Asia is heading in the next 25 years: · Asia adds a Germany (in economic terms) every 3.5 years, and will add three Europe’s in 25 years (by 2040), or if Asian currencies appreciate one to two percent pa (as is the norm for developing economies), Asia will add 5 or 6 Euro zones by 2040. · The Asian middle class is set to triple (to 1.8b) in size between 2015 and 2020, and to have increased 615% (6.15 fold) between 2009 (525m) and 2030 (3,228m). · China (59%) and India (16%) will dominate the Asian middle class. · For every addition to the US population, Asia’s headcount will rise by seven. · China’s growth is moving inland, and also towards Central Asia. · Capital will flow to Asia like never before. Why? Businesses want to be where the growth is. Ever hear one say different? In 2039, when Asia has added three Euro zones, it will be creating a Germany every seven months. That’s a pretty big attraction. Inflows mean currency appreciation. Asian currencies will rise against the dollar, euro and yen. · China’s per-capita energy consumption is one-eighth what it is in the US, India’s is one-twentieth. Rising incomes mean Asia’s energy demand will continue to soar. Asian, not G3 demand, will drive the price of energy. Source The World’s largest economies in 2010 and 2050 Source You can read more about the rising Asian middle class in my previous article here . Why Philippines, Indonesia, India and China? I choose these as my top 4 Asian countries to invest because they have high growth (domestic driven), low household debts (see chart below), and a rising middle class (with jobs and wage growth). The best time to buy is ideally when valuations are good (PEs below 15), or dollar cost averaging. Source No1- Philippines The Philippines’ main advantage is their cheap, young and skilled labour force with excellent English skills. The BPO industry is growing around 20% pa (it grew 18.7% in 2014). The Philippines is currently growing around 5.6% pa (with a long term growth rate estimated at 7.3% pa), with the main growth drivers being overseas foreign worker’s remittances, and the BPO (call centre, back office administration) industry. Tourism, manufacturing (electronics, ship building), mining and farming also contribute. This money is being channeled into the property sector, combined with increased lending (household debt is a mere 6% of GDP). Demographics are excellent with around half the population below 25, and salaries are rising at least 6.5% pa, or higher in the BPO industry where staff are paid sign on bonuses. The property boom can run for many years as pent up demand for housing is huge and prices are still low at just USD 3,156 psqm or less in Manila. The banks are making good net interest margins around 3.02 %, and growing their loan books 20% pa, with non-performing loans at a very low 1.8% and double digit profits. Investors can buy iShares MSCI Philippines ETF (NYSEARCA: EPHE ), currently on a PE of 21.17 as of 30 September 2015. No 2 – Indonesia Indonesia has a huge population with strong demographics, a rising middle class, and improving Government. Indonesia GDP was 5.0% in 2014, however it is expected to average 6.8% pa in the long term (see table below). Along with Philippines and India, it has very low household debt, and rising employment and wages. The new Government seems focused to reduce debt and build infrastructure. In October 2015, they announced a USD 5 billion high speed railway from Jakarta to Bandung in a JV with China Railway Group (00390:xhkg) (PE 10.1). Property prices are low at just USD 2,766 psqm, and rising . Investors can buy iShares MSCI Indonesia ETF (NYSEARCA: EIDO ), currently on a PE of 18.19 as of 30 September 2015. No 3 – China China is off course the booming manufacturing hub of the World, but is changing to be a more consumer led economy. This is causing a slowdown in fixed asset investment, and the so called “China slowdown” and “commodities rout”. Their GDP is currently 7.0% and slowing. Demographics and household debt levels are not so good; however, the rising middle class is still huge. The best way to play China is to buy into the consumer sector via a fund or individual stocks. A suitable fund would be db x-trackers CSI300 Consumer Discretionary 1D ETF. Chinese (Shanghai, Beijing) property is not as expensive as India (Mumbai), and is priced at USD 6,392 psqm. Investors can buy iShares MSCI China ETF (NYSEARCA: MCHI ), currently on a PE of 14.56 as of 30 September 2015. Another good choice is db X-trackers Harvest CSI 300 CHINA A-Sh ETF (NYSEARCA: ASHR ). No 4 – India India has perhaps the best growth potential but is expensive on current valuations (PE around 30), so best to wait for opportunity to buy in or average into the market over time. Current GDP is around 7.3% pa, and the long term average is expected to be around 8.0% pa. Indian labour is cheap with strong English and IT skills. Property is growing but expensive in the major cities such as Mumbai at USD 11,455 psqm, which may be a drag on the short term growth (as in China). By 2050, India is expected to be the World’s largest economy (see earlier table). Investors can buy iShares MSCI India ETF (BATS: INDA ), currently on a PE of 30.75 as of 30 September 2015. No 5 – Vietnam Vietnam is my preferred short-term pick as PEs are around 13, so great value now. Long term its prospects are also good, as it is a cheaper manufacturing hub to China and jobs are booming as a result. Household debt is low at around 20% to GDP. Investors can buy db x-trackers FTSE Vietnam ETF (GR). I would avoid Malaysia (household debt to income of 146% ) and Thailand (debt 121% ), based on high personal debts and economies that are heavily dependent on exports. Many frontier markets will also offer good returns for investors but perhaps at greater risk, so invest accordingly. Other high growth countries (listed below) to consider are Nigeria, Iraq, Bangladesh, Vietnam, Mongolia, Sri Lanka and Egypt. Source : Finally, for those that want something different, then consider to invest in either Pakistan (PE 9.2) via db x-trackers Pakistan (03106:xhkg), or Central Asia and Kazakhstan via Global X Central Asia & Mongolia Index ETF (NYSEARCA: AZIA ) (PE of 16.7), as China is pushing infrastructure and growth in that direction.

Frontier Markets Index Issues: How Flawed Index Construction Is Distorting Perceptions Of The Asset Class

Summary A common complaint heard from Frontier Markets investment managers is the poor quality of the major indices that are designed to track Frontier Markets equities. The primary underlying cause of the problem has been, and continues to be, the use of market capitalization as the construction weighting methodology. This can contribute to lopsided geographic and sector weightings, which distort the risk and return characteristics of the equity market segment being considered. This article explores the nuances and flaws of two of the most prominent Frontier Markets indices, the MSCI Frontier Markets Index and the S&P Frontier Broad Market Index. It details the uneven geographic and sector concentrations found in these indices, root causes of these imbalances, as well as the implications such index construction has on return and risk. Frontier Markets Index Issues (click to enlarge) How Flawed Index Construction is Distorting Perceptions of the Asset Class Sean Wilson, CFA Brent Clayton, CFA Ha Ta A common complaint heard from Frontier Markets investment managers is the poor quality of the major indices that are designed to track Frontier Markets equities. Poor index construction is not a new issue for the global investment community. The primary underlying cause of the problem has been, and continues to be, the use of market capitalization as the construction weighting methodology (some indices use free-float adjusted market capitalization weighting methodologies, which suffer from the same issues). This can contribute to lopsided geographic and sector weightings, which distort the risk and return characteristics of the equity market segment being considered. Frontier Market indices suffer from additional weaknesses due to varying degrees of capital market development in constituent countries, which can magnify the distortions caused by market capitalization-based weighting methodologies. As Frontier Markets indices are used to formulate asset allocators’ return and risk expectations for the asset class and as benchmarks to measure and evaluate Frontier Markets investment managers, it is important that the nuances and flaws of these indices are identified and understood. D é j à Vu All Over Again … Over the past century, indices have risen in importance from rough barometers of equity market performance to structural components of passive investment strategies with allocations worth hundreds of billions of dollars. However, some of the most prominent indices have been distorted by the common practice of employing market capitalization to determine the weight of their respective constituents. With this approach, the larger a company’s market capitalization, the larger its weighting in the index will be. This approach is particularly sensitive to distortions from market bubbles because it exaggerates the weightings of those areas in the index which have been inflated. One of the most extreme examples of this occurred in the late 1980s and early 1990s in the MSCI EAFE Index, then the most popular benchmark for international equities. Japan grew from approximately 10% of the index in 1970 to over 60% of the index by the late 1980s. Investors in the US market saw a similar phenomenon appear in the S&P 500 when the technology sector grew six-fold to over a 30% weighting during the tech bubble at the turn of the century. Both events created indices that were less diversified and more precarious with concentrations in areas of the market that were most overvalued. Investment managers benchmarked to these indices faced a binary decision with respect to their weighting in these extreme concentrations, putting commonsense portfolio diversification at odds with the business risk of deviating substantially from the primary measuring stick of their performance. An investment manager’s singular call on Japan or the technology sector often, for better or worse, became the primary determinant of fund performance. With the retreat of the Japanese stock market and the bursting of the technology bubble, the distortions dissipated, but the underlying methodology issues remained. Today, Frontier Markets indices suffer from a lack of diversification with historically high concentrations in a few countries and an abnormally large weighting in the financials sector. This can be seen in the following charts of the historical concentrations of the two most prominent Frontier Markets indices, the MSCI Frontier Markets Index (“MSCI FM Index”) and the S&P Frontier Broad Market Index (“S&P Frontier BMI”): Chart 1: (click to enlarge) Source: MSCI Barra, S&P Dow Jones Indices On August 31st, 2008, the eve of the collapse of Lehman Brothers and the ensuing Global Financial Crisis, the MSCI FM Index and the S&P Frontier BMI held a whopping 65% and 58%, respectively, in the financials sector. Likewise, two countries, Kuwait and the United Arab Emirates, together accounted for 51% and 53% of the MSCI FM Index and the S&P Frontier BMI, respectively. One single country, Kuwait, with a population and land mass that are approximately one third and three fifths that of Belgium respectively, accounted for 35% of the MSCI FM Index and 39% of the S&P Frontier BMI. These concentrations are slightly less disproportional today, but there remains a roughly 50% concentration in the financials sector in both indices and 38% and 32% weightings in the top two countries of each, respectively. As discussed further below, the ramifications of such uneven weightings are significant. The root causes of such lopsided concentrations are twofold. First, a market capitalization-based weighting methodology makes these indices susceptible to market bubbles, which reward stocks and markets that go up with greater and greater index weights. Second, differences in development stages among countries can skew index sector weightings. Financial institutions are generally first to list on nascent stock exchanges. Banks are the foundation of any economy and are relatively more established than other industries in Frontier economies. They have business models that rely on shareholder funding due to international regulatory requirements, so it is not surprising that Frontier Markets indices have an overly large weighting to the financials sector. In addition, more developed Frontier Markets with large index weightings such as Kuwait that are held back from being upgraded to “Emerging Markets” status for technical reasons (foreign ownership restrictions, liquidity and size requirements) can skew overall index exposures due to the idiosyncratic nature of their underlying stock markets (e.g. a disproportionately large publicly-listed banking industry, a lack of energy and materials sector listings due to state ownership, a small consumer sector due to a smaller population). These two issues together serve to magnify the distortions in sector and country weightings. Implications for Return Expectations in Frontier Markets Analyzing historical returns of indices is a logical starting point for investors wishing to understand an asset class. Typically, historical returns are used as guideposts for setting investor expectations about potential future returns. With Frontier Markets, however, the lopsided concentrations in certain countries and the financials sector have dominated the historical performance of these indices and continue to mask the true underlying diversity of opportunities available in the over 50 countries with liquid Frontier Markets stocks. An argument sometimes voiced against allocating to Frontier Markets is the lower relative performance of Frontier Markets compared to traditional Emerging Markets following the Global Financial Crisis. Looking at the MSCI indices in Chart 2, while Emerging Markets appear to have quickly snapped back, Frontier Markets appear to have languished for several years and only recently have begun to experience a modest recovery. As of May 31st, 2015, the MSCI FM Index was still more than 18% below its August 31st, 2008 pre-Lehman value while the MSCI Emerging Markets Index was up 23%. Chart 2: (click to enlarge) Source: Bloomberg Looking at the three largest country weightings in the MSCI FM Index on August 31st, 2008 (collectively representing 66% of the index), however, reveals how greatly these index concentrations can influence index performance. Chart 3: (click to enlarge) Source: Bloomberg The MSCI Kuwait Index (Kuwait was 35% of the MSCI FM Index in August 2008) has, in fact, languished since the Global Financial Crisis. Plagued by low growth, high valuations, regional instability with the Arab Spring, and political gridlock domestically, Kuwait has not been a hallmark of the investment case for Frontier Markets in recent years. It remains 45% below its pre-crisis value. The United Arab Emirates market (16% of the index in August 2008) also languished for several years. However, the economy and market began a recovery in 2012, which shot the MSCI UAE Index up 276% from the end of 2011 to the country’s exit from the MSCI FM Index at the end of May 2014. Viewing the broader index’s performance from this perspective suggests that the tail may be wagging the dog much more than a superficial view would suggest. Trying to estimate an expected return for the entire asset class based on the historical returns of such a lopsided index is largely an analysis of its largest three country components – one of which is no longer even classified as a Frontier Market! While the demographic-led growth potential of these early-stage markets is one of the primary allures of Frontier Markets investing, these concentrations mask that case. The underlying drivers of Frontier Market index returns have not necessarily been the consumption growth stories that compel investors into the asset class. Take, for example, the case of Kuwait and Bangladesh as shown in Table 1: Table 1: Country Kuwait Bangladesh Difference MSCI FM Index Weighting 22.2% 2.4% 19.7% S&P Frontier BMI Weighting 17.4% 3.7% 13.7% Market Cap of Local Exchange (USD bn) 94 34 60 3M Average Traded Value (USD mm) 55 57 -1 Market Cap to GDP % 52.5% 18.0% 34.5% Number of Liquid Listed Companies 76 92 -16 GDP (USD bn) 179 187 -7 GDP Per Capita 44,844 1,179 43,665 Population (NYSE: MM ) 4 158 -154 Source: IMF World Economic Outlook, Bloomberg. Economic data from the IMF is for calendar year 2014. Market data is as of May 31st, 2015. “Liquid listed companies” is defined as locally-listed stocks with a 3-month average dauly traded value over $100,000 and median daily traded value over $25,000. Kuwait enjoys a 14-20% higher weighting in the MSCI FM Index and the S&P Frontier BMI than Bangladesh. Both markets have similar total GDP, a similar number of liquid listed stocks and similar market liquidity. Which of these two markets, however, appears to have more room for future growth and development? Bangladesh stands out with its massive population, low per capita GDP, and a lower market capitalization to GDP ratio. While these metrics simplify the nuanced growth stories for both countries, it is our view that Bangladesh has far more desirable “Frontier Markets” characteristics than does Kuwait. Nonetheless, the returns of the MSCI FM Index have been far more influenced by underlying drivers of the Kuwaiti market than those of the Bangladeshi market due to the index’s market capitalization-based weighting methodology. The returns of Frontier Markets equity indices are also affected by the annual reclassification of countries by market development status. As countries develop, they are reclassified as Emerging Markets, and as new Frontier stock markets open, they can attain “Frontier Markets” status. Countries can also be “demoted” from Emerging to Frontier Markets status, as was the case in MSCI FM Index with Morocco (2013), Argentina (2009), and Jordan (2008). (Argentina is also in the S&P Frontier BMI and currently accounts for 15% of the index. Astonishingly, unlike the MSCI FM Index, the S&P Frontier BMI includes local Argentinian shares that are impractical for foreigners to own due to capital controls.) Since its launch on December 18th, 2007, the MSCI FM Index has seen eight new countries join and three exit the index. The effects of country reclassifications on Frontier Markets index returns are most pronounced when countries are upgraded to “Emerging Markets” status. This can most recently be seen during the time period between MSCI’s June 10th, 2013 announcement that the UAE and Qatar would be promoted to its Emerging Market index effective June 1, 2014 and their exit, one year later, from its Frontier Markets index. At the time of MSCI’s announcement, both countries collectively accounted for almost one third of the entire MSCI FM Index. During this 12-month time period, the MSCI UAE Index and the MSCI Qatar Index rose 97% and 55%, respectively, before declining 24% and 22%, respectively, during the month of June 2014. As a result, the MSCI FM Index was up 20% during the first six months of 2014 with the UAE and Qatar accounting for a staggering 72% of that total return according to a recent report by FIS Group. An analysis of the historical returns of an index that has changed its composition so drastically and is constructed without diversification considerations masks the underlying opportunities in Frontier Markets and is a dangerous starting point for extrapolating future returns. Pick an Index any Index … To demonstrate how returns can vary depending upon the index and the weighting methodology it employs, we have constructed four custom indices using the same constituents as the S&P Frontier BMI (see Table 2). We also show the MSCI FM Index, which uses a different country universe than the S&P Frontier BMI. However, because it is less diversified with only 127 stock constituents versus 579 in the S&P Frontier BMI, the S&P Frontier BMI constituents were chosen to construct the custom indices. The equal-weighted index shown is derived by assigning each constituent of the S&P Frontier BMI an equal weight in the index. We also weighted the countries by population and by total GDP. For these two indices, we weighted the companies within each country by market capitalization. Lastly, we weighted each company by its size using annual sales instead of market capitalization. The point of this exercise is not to promote one Frontier Markets index over another since most have large concentrations, as Table 3 shows, but rather to demonstrate the variability of returns from reasonable indices constructed from the same constituents (excluding, of course, the MSCI FM Index, which has its own constituent universe). Table 2: Source: MSCI Barra, S&P Dow Jones, Business Monitor International, Bloomberg, LR Global Table 3: Source: MSCI Barra, S&P Dow Jones, Business Monitor International, Bloomberg, LR Global As Table 2 shows, yearly comparisons between the indices vary greatly with the biggest difference between the highest and lowest annual return of 24% occurring in 2009, where a sales-weighted index outperformed the MSCI FM Index by the largest amount. Likewise, the boost the MSCI index received from the removal of UAE and Qatar in 2014 can be seen in its outperformance in 2014 (The S&P Frontier BMI also removed these two countries in 2014, but not until September after both markets had fallen from their peaks at the end of May. Other weighting differences also influenced the variant returns). As the table shows, while there is a broad range of historical returns from which an investor can choose to help formulate future return expectations, each index comes with different biases and shortcomings. In addition, given the limited amount of historical data (under a decade of “live” index results), it is hard to argue that any of these indices can be used to anchor future return expectations (S&P Frontier BMI inception is 10/31/2008 and the MSCI Frontier Markets Index inception was on 12/18/2007). Implications for Manager Evaluation Flawed indices also obfuscate manager evaluation when used as benchmarks. For example, it is common for investors to separate an investment manager’s return attribution between stock selection and allocation versus the benchmark. This attribution analysis is an attempt to better understand the source of the manager’s returns and validate the consistency of the manager’s professed style. If returns are mostly coming from geographic and/or sector allocation, then a top-down style of investing is assumed. If returns are being generated from individual stock selection, a bottom-up style is inferred. In the case of Frontier Markets indices where there is a huge weight to financials, however, it is highly likely that Frontier Markets managers will never be overweight this sector and will most likely underweight financials in the interest of common sense diversification. Any underweight in one sector by definition implies an overweight in another sector or sectors. Does this mean the Frontier Markets manager is making top down strategic decisions to sector allocation or simply employing common sense diversification? An all too familiar binary decision is forced upon managers with regard to how closely to match the concentrated index exposures. Implications for Risk Expectations in Frontier Markets Just as return expectations in Frontier Markets are clouded by the flawed Frontier Markets indices, so too are the risk expectations for the asset class. With the birth of Modern Portfolio Theory in 1952 (Markowitz), investment risk became defined as the standard deviation, or volatility, of returns. If the historical returns are sampled from a flawed index such as one of the major Frontier Markets indices, this risk measure is also distorted. In a previous LR Global white paper (“Risk in Frontier Markets: Overcoming the Misperceptions.” May 2014) we examined the riskiness of Frontier Markets. Using the Modern Portfolio Theory definition of volatility, we analyzed Frontier Markets risk by calculating the standard deviation of individual Frontier Market country returns. Using ten years of rolling three-year weekly US dollar returns, we found that the median standard deviation of the Frontier Market country returns were consistently less volatile than Emerging Markets country returns and surprisingly less volatile than Developed Markets in six out of ten years (see Chart 4). Chart 4: Source: Sean Wilson, Brent Clayton, & Ha Ta (2014). “Risk in Frontier Markets: Overcoming the Misperceptions.” LR Global White Paper. However, it is also worth considering a different mindset of risk that does not assume investors are perfectly rational and that markets are efficient, as Modern Portfolio Theory requires. The booms and busts of individual Frontier Markets, the relative lack of institutional investors and research coverage as well as the opaque nature of these immature markets suggest that Frontier Markets are inefficient. Thus, a different notion of risk may be needed. Warren Buffet, a disciple of Benjamin Graham, explained why volatility is a poor measure of investment risk in a 1994 Berkshire Hathaway Annual Meeting : “For owners of a business – and that’s the way we think of shareholders – the academics’ definition of risk is far off the mark, so much so that it produces absurdities. For example, under beta-based theory, a stock that has dropped very sharply compared to the market – as had Washington Post when we bought it in 1973 – becomes ‘riskier’ at the lower price than it was at the higher price. Would that description have then made any sense to someone who was offered the entire company at a vastly-reduced price?” 15 In Frontier Markets, we also see volatility in individual markets and sectors as a potential source of opportunity and not risk. Fortunately, there are over 50 countries that comprise the broader Frontier Markets universe, and some of the biggest opportunities we have identified and exploited have been the result of extreme volatility in one or more countries. Would the Real ” Benchmark Risk ” Please Stand Up Thanks again to Modern Portfolio Theory, a new sub-category of risk was born. “Benchmark risk,” or, as it is more commonly known, “active risk” measures the amount of “risk” an investment manager takes by constructing a portfolio that is different than the benchmark it seeks to outperform. Studies conducted by academics and consultants over the past five years show that active managers who deviate significantly from their benchmarks have outperformed their more benchmark-like peers. According to researchers at Yale University, managers with an Active Share, one measure of active risk, of greater than 80% beat their benchmarks by 2.0% to 2.7% before fees. If, however, the benchmark is not diversified properly and constructed sub-optimally as current Frontier Markets indices are, then benchmark risk should really be literally thought of as just that, benchmark risk . In an asset class often assumed to be highly risky and not for the faint of heart, one might assume that managers should seek to minimize active risk. In light of these studies and the aforementioned flaws of Frontier Markets benchmarks, however, Frontier Markets managers should really be encouraged to seek out active risk. Conclusion Since Farida Khambata of the International Finance Corporation coined the term “Frontier Markets” in 1992, Frontier Markets have grown into a market segment distinct from traditional Emerging Markets with growing interest from investors and asset allocators. Much of this interest has occurred only over the past decade, which has accounted for the lion’s share of asset growth. It is important that investors interested in Frontier Markets understand the shortcomings of the major indices when considering an allocation or monitoring an existing allocation. In a subsequent paper, an alternative solution to existing Frontier Markets indices that will provide a better tool for monitoring and understanding the asset class will be discussed. Disclosure: I/we have no positions in any stocks mentioned, and no plans to initiate any positions within the next 72 hours. (More…) I wrote this article myself, and it expresses my own opinions. I am not receiving compensation for it. I have no business relationship with any company whose stock is mentioned in this article.