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In This List

Inside the S&P 500: The Dividend Aristocrats

A Keynesian Puzzle for Fed Watchers

Low Chinese CPI: A Commodity Catalyst?

How Do You Communicate Risk Management in a Year When it Doesn’t Matter?

A Comparison in Market Performance for First Six Months of Modi in 2014 versus First Six Months of Manmohan in 2009

Inside the S&P 500: The Dividend Aristocrats

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David Blitzer

Former Managing Director and Chairman of the Index Committee

S&P Dow Jones Indices

Dividends are ever-popular with investors, but owning dividend stocks or an ETF which tracks an index focused on dividends comes with one big worry: will the companies continue to pay dividends?  One of the surest signs that a stock is about to collapse is when the company announces it is reducing or eliminating the dividend.  While there is no way to guarantee that a stock will continue paying dividends, many investors look to the company’s past history for some hint of what it might do in the future. For those investors, a long history of consistent payments – or better yet, consistent dividend increases – is appealing.

The thought that a long history of increasing dividends could identify companies that would make an attractive dividend focused index is the idea behind the S&P 500 Dividend Aristocrats. Companies included in the index must have a history of at least 25 years of increasing dividends and be current members of the S&P 500. (They may not have been in the S&P 500 for all 25 years). Currently there are 53 stocks in the index, including some well-known names such as ExxonMobil, Walmart, Coca-Cola and PepsiCo.

Recognizing that past performance is not a guarantee of future results, one can see the past results compared to the S&P 500.  The chart shows monthly data for the S&P 500 and the S&P 500 Dividend Aristocrats, both measured as total return indices rebased to January 1990=100.

Further recognition was received when the S&P 500 Dividend Aristocrats index was named the Index Product of the Year 2014 at the William F. Sharpe Indexing Achievement Awards at the annual IMN Global Indexing and ETF Conference earlier this week in Scottsdale, AZ.

The posts on this blog are opinions, not advice. Please read our Disclaimers.

A Keynesian Puzzle for Fed Watchers

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David Blitzer

Former Managing Director and Chairman of the Index Committee

S&P Dow Jones Indices

The Wall Street Journal and Bloomberg surveys both report that Fed watchers and economists continue to expect the Fed to raise interest rates beginning in mid-2015.  There is enough widespread agreement that the Fed will move on interest rates next year that some forecasters now predict that the Fed’s next policy statement will drop the phrase “for a considerable period of time” when describing how long rates will remain at current levels. At the same time, a few Fed officials and regional Fed bank presidents have commented on whether the Fed should raise rates very soon, or much later, than the consensus guess of next July.

The FOMC or Federal Open Market Committee, the Fed’s policy making and rate setting group, can move very quickly when necessary.  Each time the FOMC meets it sets its interest rate targets for the six to eight weeks until the next meeting. While the Committee publishes long term projections for the economy and discusses how conditions will change over the next year or more, its time horizon for interest rates is no longer than the time to the next meeting.  When conditions warrant, it will gather by phone to decide and act quickly. Forecasting what the Fed will do next July depends on what the economy will look like next July, not what it looks like now.

However, forecasting the Fed’s likely action six months into the future is even more complicated that just predicting what the economy will be six months forward. In his  General Theory of Employment, Interest and Money, Keynes describes the forecasting problem facing stock market investors; the same problem confronts Fed watchers.  Keynes describes a fictional beauty contest run by British newspapers where subscribers are asked to choose the contestants who will be judged most attractive by the largest number of subscribers rather than the contestant each individual subscriber perceives as most attractive: forecasting the forecasts of others.   Fed watchers need to forecast what each voting member of the FOMC will be forecasting for the economy next July.  To make the challenge a little worse, there are two open seats on the Federal Reserve Board which might be filled by July.

Most analysts and economists commenting on the Fed have a lot of experience divining the central bank’s next move, so one would hope that they would be right more often than not.  The additional concern is that current economic conditions are rather unusual and history is probably a flawed guide to the immediate future.  Economic growth is strong enough to promote substantial job creation and push down the unemployment rate.  This is all good and is a reason for the Fed to consider raising interest rates. At the same time, inflation is surprisingly low (1.5% on the CPI), the dollar is gaining strength compared to almost every other currency and may dampen demand for US exports already threatened by slow or slowing growth in most other parts of the world.  On top of all that, oil prices have plunged and oil drillers are announcing cuts in their 2015 capital spending plans. All these factors argue for holding the line on interest rates.

What is the Fed likely to do? Wait and see – no reason to rush into 2015 since the FOMC will have more hard facts about the economy if it waits awhile.  But that won’t help Fed watching analysts who are expected to tell now when the Fed will raise interest rates.

The posts on this blog are opinions, not advice. Please read our Disclaimers.

Low Chinese CPI: A Commodity Catalyst?

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Jodie Gunzberg

Former Managing Director, Head of U.S. Equities

S&P Dow Jones Indices

Following weak Chinese economic data, several headline stories broke about commodities crashing although the only sectors with consistent losers are energy and grains.  One news story stated, “Copper prices resumed their decline on Wednesday, after data showed that inflation in China slowed to the lowest level in five years, underling concerns over a slowdown in the world’s second largest economy.”

This might seem backwards given the CPI is a reflection of historical prices rather than an expectation of future prices. However, despite Dr. Copper’s lack of smarts and historical evidence showing very little predictive ability of copper prices on GDP growth not only from China but around the world, maybe Chinese CPI holds a secret about the behavior of commodity prices. The chart below shows Chinese CPI yoy% versus the S&P GSCI Gold, Copper and Petroleum. It is no surprise to see a relationship between Chinese CPI and supposedly economically sensitive commodities, copper and oil.

Source: S&P Dow Jones Indices LLC. All information presented prior to the index launch date is back-tested. Back-tested performance is not actual performance, but is hypothetical. The back-test calculations are based on the same methodology that was in effect when the index was officially launched. Past performance is not a guarantee of future results.  Please see the Performance Disclosure at http://www.spindices.com/regulatory-affairs-disclaimers/ for more information regarding the inherent limitations associated with back-tested performance.

CPI (Consumer Price Index), despite the region, is a measure of prices of a basket of goods. It makes sense to see a relationship between commodity prices and CPI since the same food and energy that is in CPI is in the commodity indices.  Given the energy price drop, the lower than expected Chinese CPI shouldn’t be much of a surprise, but if it is a surprise, it might not be a negative surprise for the future of commodity prices.

A slowdown in Chinese inflation could be a catalyst for commodities if the chance of rate cuts and monetary easing increases. Historically back to 1999, the S&P GSCI Petroleum has had a generally positive correlation to Chinese CPI.

Source: S&P Dow Jones Indices LLC. All information presented prior to the index launch date is back-tested. Back-tested performance is not actual performance, but is hypothetical. The back-test calculations are based on the same methodology that was in effect when the index was officially launched. Past performance is not a guarantee of future results.  Please see the Performance Disclosure at http://www.spindices.com/regulatory-affairs-disclaimers/ for more information regarding the inherent limitations associated with back-tested performance.

If Saudi continues to pump oil to hold its market share, then maybe oil has further to drop (and Chinese CPI) but since the troughs of Chinese CPI, commodities have performed well. The chart below shows the time periods of trough negative Chinese CPI to peaks in history with generally large returns of commodities following the low inflation. On average in these three periods, the S&P Gold, Copper and Petroleum returned 33.3%, 55.6% and 101.6%, respectively.

China CPI Returns

Source: S&P Dow Jones Indices LLC. All information presented prior to the index launch date is back-tested. Back-tested performance is not actual performance, but is hypothetical. The back-test calculations are based on the same methodology that was in effect when the index was officially launched. Past performance is not a guarantee of future results. Please see the Performance Disclosure at http://www.spindices.com/regulatory-affairs-disclaimers/ for more information regarding the inherent limitations associated with back-tested performance.

The posts on this blog are opinions, not advice. Please read our Disclaimers.

How Do You Communicate Risk Management in a Year When it Doesn’t Matter?

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Shaun Wurzbach

Managing Director, Head of Commercial Group (North America)

S&P Dow Jones Indices

The S&P Dow Jones Indices Financial Advisor Channel has followed the progress of Exchange Traded Fund (ETF) Strategists with interest for over four years. In fact, we have developed close working relationships with many of those firms. They are often champions of indexing; power-users of ETF use in portfolio management. Whether one tracks ETF strategists by assets under management (AUM) or inflows, the last four years have shown that business has been good for these firms as a collective body in asset management. That track record of double-digit growth hit a speed-bump in Q3 2014. According to Ling-Wei Hew of Morningstar, AUM for ETF strategists fell 6% in Q3, a reversal taking them back to 2013 levels.

Why the outflows? Blame it on the long bull run of the S&P 500. Ling Wei Hew reports in Q3 2014 ETF Managed Portfolio Landscape that 33% of ETF strategists follow a US equity strategy. In this year and last, many of these strategies have underperformed the S&P 500.

Is the S&P 500 a fair benchmark for these ETF Strategists? Many that I have spoken with would prefer a different benchmark. The ubiquity of the S&P 500 as a benchmark means they end up choosing it themselves anyway or it is forced on them by default in the way they are ranked and analyzed. Being benchmarked against the S&P 500 is appropriate if the objective of the fund or portfolio is US large cap exposure. S&P DJI has proposed that kind of benchmarking and comparison for years in our S&P Index vs Active (SPIVA) US scorecard. But benchmarking tactical or risk-managed portfolios against the S&P 500 fails to provide the same level of “apples to apples” comparison which is the hallmark of our SPIVA and Persistence Scorecard research.

Why isn’t the comparison of the S&P 500 to a US risk-managed portfolio an “apples to apples” comparison? The Chief Investment Officers and portfolio managers of a risk-managed portfolio seek to provide risk-managed exposure to equity markets. Risk-managed usually means having a goal of limiting asset loss during protracted or recessionary downturns or preventing Black Swan-type risks of loss. This goal of risk management is sought simultaneously with the goal of capturing as much equity market growth as possible. By contrast, the S&P 500 seeks to be the best single gauge of large cap US equities. So do the outflows in US Tactical and risk-managed ETF portfolios suggest that clients have changed their mind about the value of risk-management embedded in these strategies? The S&P 500 Total Return Index (dividends included) has returned 76.83% over the last 3 years and 122.2% over the last 5 years. The timing of these outflows suggests an emergence of a second risk that investors may be concerned about – the risk of missing out.

The cost of risk-managed portfolios can be compared to the cost of insurance. In a similar way, one can imagine that the more risk-sensitive an investor is, the more “insurance” they might want. To carry the insurance analogy one step further, imagine an auto driver looking back at his past five years of safe driving and thinking that 5 years of insurance premiums were paid for with no benefit. With no laws or regulations requiring “insurance” for portfolios, an investment in a risk-managed portfolio must be perceived by the investor as more of a benefit than a cost. The value of risk management must be hard to communicate after years when protecting against that risk didn’t seem to matter…in hindsight.

This is the first post in our risk management series. Stay tuned for more posts from guest bloggers on this topic.

The posts on this blog are opinions, not advice. Please read our Disclaimers.

A Comparison in Market Performance for First Six Months of Modi in 2014 versus First Six Months of Manmohan in 2009

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Mahavir Kaswa

Former Associate Director, Product Management

S&P BSE Indices

As of Nov. 26, 2014, Modi “Sarkar” (Modi’s government) has completed six months of leading the central government.  Since Mr. Modi assumed office, there have been high expectations from the corporate community, not just in India, but across the world.  This is represented by the barometer of the market in India: the S&P BSE SENSEX.  Over the past few months, the S&P BSE SENSEX has repeatedly recorded new all-time highs.  A similar atmosphere was seen in 2009, when it became clear that there would not be a hung parliament and that the UPA would form the government; the S&P BSE SENSEX recorded a steady increase, recovering from the bottom of the financial crisis.

The recent strong performance of the S&P BSE SENSEX has prompted close study of the market performance during the initial period of both of these Indian governments.  For this analysis, we have taken a base date of six months from the date of formation of each government.  As elections are announced, the market tends to be more sentimental, which is why we chose to begin measuring the performance from the election announcement date.  Exhibit 1 shows the key dates of comparison, from the election announcement until six months after the formation of the government.

ResultSource: Asia Index Private Ltd.  Charts and tables are provided for illustrative purposes.

The S&P BSE SENSEX showed higher returns during the initial period of Manmohan’s government (UPA 2009) than during the same period of Modi’s government (NDA 2014) (see Exhibit 2).  What is more interesting to note is that in 2009, from the announcement of the election results until the completion of six months of Manmohan government, S&P BSE SENSEX almost doubled.  During the same period of Modi’s government in 2014, the S&P BSE SENSEX had total returns of approximately 35%.

Exhibit 2: Total Returns 

Source: Asia Index Private Ltd.  Total Returns in INR.  Charts and tables are provided for illustrative purposes.  Past performance is no guarantee of future results.

Another interesting statistic to note here is that for the period from the election announcement through the completion of six months in office for each prime minister, the GICS® financials has contributed the most to the total returns generated by S&P BSE SENSEX out of any sector (see Exhibit 3).

Exhibit 3: Returns from Election Announcement versus Financial Sector

Results 2Source: Asia Index Private Ltd & Bloomberg.  Total Returns in INR. Charts and tables are provided for illustrative purposes.  Past performance is no guarantee of future results.

Furthermore, during the same measurement period for Manmohan’s government in 2009, there were 15 trading sessions in which the S&P BSE SENSEX closed above 3% (by total return).  Meanwhile, during the same period for Modi’s government in 2014, there was no trading sessions that closed above 3%.

Could these levels of performance simply be contributed to the expectations of the ruling government?  We believe the answer is no.  It would be unfair to attribute market performance exclusively to sentiments toward the expected or ruling government.  However, this is certainly one of the many factors.  Other factors that may affect the market may include growth rate, inflation, past market performance, growth of major economies across the world and more.

The posts on this blog are opinions, not advice. Please read our Disclaimers.