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EWM Monthly Market Commentary: April 2014

By Uncategorized

Domestic equity markets were a study in contrasts in April, with significant divergence among various segments of the market. The key story of the month was the continued rotation in leadership within market capitalizations as well as growth-value dimensions. In addition, Internet-related growth stocks suffered declines as investors assessed whether those companies would live up to their high current valuations. Geopolitical tensions remained at the forefront of investors’ minds, with Russia continuing its saber-rattling in regards to Ukraine. Economic data began to thaw with the weather, posting slightly better results than during the first three months of the year. Employment gains in April were 288,000, the fastest growth in almost two years, and far exceeding analyst expectations. In addition, the unemployment rate dropped to 6.3% from 6.7%.

With this as a backdrop, stocks posted mixed results. The S&P 500 rose +0.7% for the month, and the Dow Jones Industrials gained +0.9%. However, the tech-heavy Nasdaq Composite Index again lost ground, declining -2.0%. The divergence between the Russell 1000 Index of large cap stocks and Russell 2000 Index of small cap stocks increased during the month, with returns of +0.5% and -3.9%, respectively. Value stocks extended their outperformance relative to  growth stocks. In terms of sector performance, energy was the strongest performer on a relative basis, gaining +5.2%, while financials were the poorest performers, posting a decline of -1.5%.

International equity markets also posted mixed results in April. The MSCI World ex-U.S. Index gained +1.4% for the month. Emerging markets also held their own again last month, advancing lightly, yet underperforming developed markets. Analysts remain concerned about the growth prospects in  emerging economies, which may remain subdued as the Federal Reserve continues to taper its quantitative easing program. The MSCI Emerging Markets Index gained +0.4% for the month. The MSCI EAFE Index, which measures developed markets performance, generated slightly better performance, returning +1.5% for the month, as the Russia-Ukraine tensions remained elevated but not yet escalating. Regionally, Latin America and Europe were the best performers on a relative basis, with the MSCI EM Latin  America Index and the MSCI Europe Index gaining +2.8% and +2.6%, respectively. Eastern Europe and Japan were among the poorest performers, with results of -4.5% and -2.6%, respectively.

Fixed-income markets were almost all high in April, with economic data remaining somewhat soft coming out of the severe winter. The Fed continued its pace of tapering of its asset purchase program during the month, reducing purchases by an additional $10 billion. In this environment, the benchmark 10-year U.S. Treasury yield ended the month at 2.65%, down slightly from the 2.72% the level of March 31st. Broad-based fixed-income indices posted returns in April, with the Barclays U.S. Aggregate Bond Index advancing +0.8% for the month. Global fixed-income markets were also higher, with the Barclays Global Aggregate ex-U.S. Index returning +1.3% for the month. Intermediate-term corporate bonds were also strong, as the Barclays U.S. Corporate 5-10 Year Index generated a gain of +1.2%. The Barclays U.S. Corporate High Yield Index posted a gain of +0.6% for the month. Municipals continued their recent robust performance, advancing +1.2%.

US Core Personal Consumption Expenditure Index Year over Year

By Inflation Watch

US PCE Core Year over Year

 

Yesterday we noted stagnant price growth in Europe, but the environment in the US is hardly inflationary. The Federal Reserve’s favorite inflation metric, the core Personal Consumption Expenditure index (PCE), grew 1.2% Y/Y in March, in-line with expectations and slightly higher than February. Janet Yellen and company really need this index to turn higher as they continue to withdraw stimulus from the economy. The FOMC sounded optimistic about growth after yesterday’s meeting, where it cut monthly asset purchases to $45bn. If PCE indicators were to fall from current levels, it would be interesting to see whether the Fed would reverse course by increasing asset purchases or opt for a new strategy.

(Source: GBI)

Eurozone CPI as of April-2014

By Inflation Watch

Eurozone CPI

 

Is the Eurozone in a deflationary grip? Will the ECB policies be able to pull it out?

April CPI growth in the Eurozone was up from March but remains well below the ECB’s target at 0.7% Y/Y, and below expectations of 0.8% Y/Y. Analysts believe that this latest data point is not conclusive enough for the ECB to start a QE-like asset-purchase program, but stagnant prices will keep real interest rates high and will continue to support the Euro relative to other currencies.

(Source: GBI, Bloomberg)

What are Option Greeks?

By General

Greeks, including Delta, Gamma, Theta, Vega and Rho, measure the different factors that affect the price of an option contract. They are calculated using a theoretical options pricing model (see  How much is an option worth?).

Since there are a variety of market factors that can affect the price of an option in some way, assuming all other factors remain unchanged, we can use these pricing models to calculate the Greeks and determine the impact of each factor when its value changes. For example, if we know that an option typically moves less than the underlying stock, we can use Delta to determine how much it is expected to move when the stock moves $1. If we know that an option loses value over time, we can use Theta to approximate how much value it loses each day.

Following are Greek definitions:

Delta: The hedge ratio

Delta measures how much an option’s price is expected to change per $1 change in the price of the underlying security or index. For example, a Delta of 0.40 means that the option’s price will theoretically move $0.40 for every $1 move in the price of the underlying stock or index.

Call options

  • Have a positive Delta that can range from zero to 1.00.
  • At-the-money options usually have a Delta near .50.
  • The Delta will increase (and approach 1.00) as the option gets deeper in the money.
  • The Delta of in-the-money call options will get closer to 1.00 as expiration approaches.
  • The Delta of out-of-the-money call options will get closer to zero as expiration approaches.

Put options

  • Have a negative Delta that can range from zero to -1.00.
  • At-the-money options usually have a Delta near -.50.
  • The Delta will decrease (and approach -1.00) as the option gets deeper in the money.
  • The Delta of in-the-money put options will get closer to -1.00 as expiration approaches.
  • The Delta of out-of-the-money put options will get closer to zero as expiration approaches.

You also might think of Delta, as the percent chance (or probability) that a given option will expire in the money.

  • For example, a Delta of 0.40 means the option has about a 40% chance of being in the money at expiration. This doesn’t mean your trade will be profitable. That of course, depends on the price at which you bought or sold the option.

You also might think of Delta, as the number of shares of the underlying stock, the option behaves like.

  • A Delta of 0.40 also means that given a $1 move in the underlying stock, the option will likely gain or lose about the same amount of money as 40 shares of the stock.

Gamma: the rate of change of Delta

Gamma measures the rate of change in an option’s Delta per $1 change in the price of the underlying stock. Since a Delta is only good for a given moment in time, Gamma tells you how much the option’s Delta should change as the price of the underlying stock or index increases or decreases. If you remember high school physics class, you can think of Delta as speed and Gamma as acceleration.

The relationship between Delta and Gamma:

  • Delta is only accurate at a certain price and time. In the Delta example above, once the stock has moved $1 and the option has subsequently moved $.40, the Delta is no longer 0.40.
  • As we stated, this $1 move would cause a call option to be deeper in the money, and therefore the Delta will move closer to 1.00. Let’s assume the Delta is now 0.55.
  • This change in Delta from 0.40 to 0.55 is 0.15—this is the option’s Gamma.
  • Because Delta can’t exceed 1.00, Gamma decreases as an option gets further in the money and Delta approaches 1.00.

Theta: time decay

Theta measures the change in the price of an option for a one-day decrease in its time to expiration.  Simply put, Theta tells you how much the price of an option should decrease as the option nears expiration.

  • Since options lose value as expiration approaches, Theta estimates how much value the option will lose, each day, if all other factors remain the same.
  • Because time-value erosion is not linear, Theta of at-the-money (ATM), just slightly out-of-the-money and in-the-money (ITM) options generally increases as expiration approaches, while Theta of far out-of-the-money (OOTM) options generally decreases as expiration approaches.

Time-value erosion

 Time value erosion

Source: Schwab Center for Financial Research.

Vega: sensitivity to volatility

Vega measures the rate of change in an option’s price per 1% change in the  implied volatility of the underlying stock. While Vega is not a real Greek letter, it is intended to tell you how much an option’s price should move when the volatility of the underlying security or index increases or decreases.

More about Vega:

  • Vega measures how the implied volatility of a stock affects the price of the options on that stock.
  • Volatility is one of the most important factors affecting the value of options.
  • Neglecting Vega can cause you to “overpay” when buying options.  All other factors being equal, when determining strategy, consider buying options when Vega is below “normal” levels and selling options when Vega is above “normal” levels. One way to determine this is to compare the historical volatility to the implied volatility. Chart studies for both of these values exist within StreetSmart Edge®.
  • A drop in Vega will typically cause both calls and puts to lose value.
  • An increase in Vega will typically cause both calls and puts to gain value.

Rho: sensitivity to interest rates

Rho measures the expected change in an option’s price per 1% change in interest rates. It tells you how much the price of an option should rise or fall if the “risk-free” (U.S. Treasury-bill)* interest rate increases or decreases.

More about Rho:

  • As interest rates increase, the value of call options will generally increase.
  • As interest rates increase, the value of put options will usually decrease.
  • For these reasons, call options have positive Rho and put options have negative Rho.
  • Rho is generally not a huge factor in the price of an option, but should be considered if prevailing interest rates are expected to change, such as just before a Federal Open Market Committee (FOMC) meeting.
  • Long-Term Equity AnticiPation Securities® (LEAPS®) options are far more sensitive to changes in interest rates than are shorter-term options.

You can see the effects of Rho by considering a hypothetical stock that’s trading exactly at its strike price.

  • If the stock is trading at $25, the 25 calls and the 25 puts would both be exactly at the money.
  • You might see the calls trading at a price of $0.60, while the puts may trade at a price of $0.50.
  • When interest rates are low, the difference will be relatively small.
  • As interest rates increase, this difference between puts and calls whose strikes are equidistant from the underlying stock will get wider.

What can option Greeks do for you?

Armed with Greeks, an options trader can make more informed decisions about which options to trade, and when to trade them. Consider some of the things Greeks may help you do:

  • Gauge the likelihood that an option you’re considering will expire in the money (Delta).
  • Estimate how much the Delta will change when the stock price changes (Gamma).
  • Get a feel for how much value your option might lose each day as it approaches expiration (Theta).
  • Understand how sensitive an option might be to large price swings in the underlying stock (Vega).
  • Simulate the effect of interest rate changes on an option (Rho).

Implied volatility: like a Greek

Though not actually a Greek, implied volatility is closely related. The implied volatility of an option is the theoretical volatility based on the option’s quoted price. The implied volatility of a stock is an estimate of how its price may change going forward. In other words, implied volatility is the estimated volatility of a stock that is implied by the prices of the options on that stock. Key points to remember:

  • Implied volatility is derived using a theoretical pricing model and solving for volatility.
  • Since volatility is the only component of the pricing model that is estimated (based on historical volatility), it’s possible to calculate the current volatility estimate the options market maker is using.
  • Higher-than-normal implied volatilities are usually more favorable for options sellers, while lower-than-normal implied volatilities are more favorable for option buyers because volatility often reverts back to its mean over time.
  • To an options trader, solving for implied volatility is generally more useful than calculating the theoretical price, since it’s difficult for most traders to estimate future volatility.
  • Implied volatility is usually not consistent for all options of a particular security or index and will generally be lowest for at-the-money and near-the-money options.

Since it’s difficult on your own to estimate how volatile a stock really is, you can watch the implied volatility to know what volatility assumption the market makers are using in determining their quoted bid and ask prices.

How much is an option worth?

It seems like a fairly simple question, but the answer is complex. There’s a lot of number crunching that goes into determining an option’s price. Most options market makers use some variation of what’s known as a theoretical options pricing model.

By far, the best-known pricing model is the Black-Scholes model. After more than three years of research, university scholars Fisher Black and Myron Scholes published their model back in 1973, only a month after the Chicago Board Options Exchange (CBOE) began trading standardized options. While options traders initially scoffed at their ideas, this breakthrough was so ahead of its time that it took a quarter century to be fully appreciated. Though Fisher Black died in 1975, Myron Scholes along with Robert Merton, a colleague of theirs who helped improve the formula, were awarded the Nobel Prize in Economics for their model in 1997.

While the original model was groundbreaking, it had a few limitations because it was designed for European style options and it did not take into consideration, the dividend yield of the underlying stock. There are now many variations, which have improved upon the original model, including:

  • Cox-Ross-Rubenstein binomial (1979): for American style options including dividend yield. This is probably the most widely used model today because it’s very accurate with American-style equity options.
  • Barone-Adesi-Whaley: for American style options including dividend yield.
  • Black-Scholes-Merton (our default model): for American style options including dividend yield.

Each model estimates what an option is worth by considering the following six factors:

  • Current underlying stock price (higher value increases calls and decreases puts).
  • Strike price of the option (higher value decreases calls and increases puts).
  • Stock price volatility (estimated by the annual standard deviation, higher value increases calls and puts).
  • Risk-free interest rate (higher value increases calls and decreases puts).
  • Time to expiration (as a percent of a year, higher value increases calls and puts).
  • Underlying stock-dividend yield (higher value decreases calls and increases puts).

(Source: Original article from Schwab was repurposed for this Blog post)

Yellen Concerned Fed Model Fails to Predict Price Moves

By Inflation Watch

Federal Reserve Chair Janet Yellen is concerned that the standard models central banks use to forecast inflation may be broken.

Behind her disquiet: the failure of the models to foresee the path of prices in the U.S. during the last recession and its aftermath and in Japan during its deflationary period from 1998 to 2012. U.S. inflation has been higher than the simulations suggested, while Japanese price declines proved more persistent.

Yellen alluded to her concerns in a speech last week, saying the Fed has to “watch carefully” to see if inflation picks up as the central bank projects — and hopes — during the next few years.

Standard computer models rest on two main pillars in trying to forecast longer-run price pressures: the amount of slack in the economy, usually measured by unemployment, and inflation expectations.

The higher the joblessness rate is above its so-called natural rate, the harder it is for employees to win pay increases and for inflation to accelerate. Yellen pegs that natural rate — at which price increases neither speed up nor slow down — at 5.2 percent to 5.6 percent. Unemployment in March was 6.7 percent.

Most Fed policy makers see inflation climbing to 1.5 percent to 2 percent by the end of next year and 1.7 percent to 2 percent at the end of 2016, according to projections released on March 19.

(Source: Bloomberg)

Growth of solo businesses

By General

The Number of US Businesses without paid employees, in millions

 

Is the growth in the number of solo businesses a good sign for the economy?

The number of U.S. businesses without paid employees—mostly self-employed individuals with unincorporated businesses—rose 1.1% to 22.74 million in 2012, the latest data available, according to a new report by Census this week. “Non-employer” businesses have increased nearly 7% since dipping to 21.35 million in 2008, the first full year of the 2007-2009 recession.

The new Census data jibe with reports from the Labor Department that suggest self-employment took a hit during the recession but has since come back slightly.

Overall, the readings could be a sign that some Americans are feeling more confident about their ability to launch businesses as the economy gradually recovers from the recession. But it could also point to the persistent difficulty many face in landing full-time jobs.

(Source: Wall Street Journal)

Pump Prices Help to Drive Inflation Outlook

By Inflation Watch

Pump Prices Help To Drive Inflation Outlook

 

While we watch many indicators that might point to a future rise in inflation, the above chart depicts how consumers correlate near term inflation expectations with prices paid at the pump.

According to Friday’s consumer sentiment survey put out by Thomson-Reuters and the University of Michigan, consumers think inflation will be 3.2% a year from now, little changed from expectation readings so far this year. (Consumers almost always think inflation is running higher than the government’s official measures. The consumer price index, for instance, shows prices are up just 1.5% in the past year.)

Changes in gasoline prices tend to color how consumers view inflation. That’s not a surprise since gas prices are very visible and drivers tend to fill up frequently. Prices at the pump have been rising lately. Add in the price jump for some grocery items—most notably beef and pork—and it would not be surprising if inflation expectations edge up in coming months.

(Source: Wall Street Journal)

 

U.S. Equity Markets: Bull or Bear?

By General

We believe that it is hard to determine precisely whether you are at the end of a Bull run or at the beginning of a Bear cycle. However, one can look at a panoply of macro factors that might help in making a decision one way or the other. It is also possible that the two scenarious balance out and put you in a Neutral Zone. 

Factors that favor a continuing of the current Bull Market:

  • Continuing of current accomodative global monetary policy
  • U.S labor market continues to improve
  • U.S. auto sector continues to grow
  • U.S. housing affordability still attractive in most markets
  • Muted inflation
  • U.S. Current Account and Federal Budget deficits continue to shrink
  • Renaissance in U.S. energy production and manufacturing
  • U.S. corporations sitting on over $2 Trillion in cash
  • M&A and IPO activity picking up
  • Equity market valuations are reasonable particularly on a relative basis to bonds
  • Europe starting to grow its economy
  • China growth stabilizing alongwith other emerging markets like India and Brazil

Factors that Bears are making in support of a coming Bear Market:

  • Slow job improvement compared to past economic recoveries
  • Political and regulatory uncertainty continues hindering global capital investment and employment growth
  • End of QE in the U.S. prompting discussion of how equities might crash in a rapidly rising interest rate environment
  • High corporate profit margins might not be sustainable
  • Momentum investors have driven the valuations for many internet oriented and biotech stocks to very steep levels that might not be sustainable
  • U.S. IPOs might be showing signs of excessive speculation
  • U.S. equity markets have not had a 10% plus correction in over 30 months vs. a historical average of 18 months
  • 2nd quarters are usually the worst on both a price change and frequency of decline basis since WWII for the S&P 500

We are in a neutral zone with a bias towards Equities and Risk Managed asset classes on a relative and absolute return basis.

$2.1 Trillion in Untaxed Profits held Abroad by U.S. Corporations

By General

More than $2 trillion in foreign profits were held by U.S. corporations abroad in 2013, says Reuters.

U.S. corporations do not pay income tax on their overseas profits (something known as income tax deferral) unless they bring those profits back into the United States.

  • Between 2008 and 2013, the amount of profits held overseas by American corporations almost doubled.
  • General Electric alone had $110 billion overseas, followed by Microsoft (at $76.4 billion), Pfizer (at $69 billion) and Merck (at $57.1 billion).

This corporate tax issue has been at the center of congressional debate on tax reform. Some lawmakers have advocated getting rid of offshore deferral, and others have pushed for a “tax holiday” that would allow these corporations to bring foreign profits back into the United States at a low tax rate. Democratic Senator Max Baucus, former finance committee chairman, had made a number of tax reform proposals before leaving to become ambassador to China. Senator Ron Wyden has taken over Baucus’ post.

Analysts do not anticipate any real reform action until after the mid-term elections in November, but Americans can expect to see a push for a tax code overhaul in 2015.

Source: Kevin Drawbaugh and Patrick Temple-West, “Untaxed U.S. Corporate Profits Held Overseas Top $2.1 Trillion: Study,” Reuters, April 8, 2014.

Are the U.S. Equity Markets Over Valued?

By General

Every time the equity markets hit a new high, doubts begin to arise if the markets are getting too toppy/frothy. It is usually a good time to take a step back and put things in perspective. A good comparison is usually done by going back in time to when the markets peaked in March 2000. In that light, David Kostin, chief U.S. equity strategist at Goldman Sachs, looked at some data going back to March 2000 when the technology bubble peaked and subsequenty burst. I was really close to this time period, having moved to Silicon Valley to join a team doing late stage, pre-IPO, tech venture investing.

“Veteran investors will recall the S&P  500 and the tech-heavy Nasdaq peaked in March 2000.  The indices eventually fell by 50% and 75%, respectively. It took the S&P 500 seven years to recover and establish a new high, but the  Nasdaq still remains 25% below its all-time peak reached 14 years ago.”

However, according to Kostin, there are six ways in which the two episodes differ:

Recent returns are less dramatic. Although the trailing 12-month returns are similar (22% today versus 18% in 2000), the trailing 3-year and 5-year returns are much lower (51% vs. 107% and 161% vs. 227%, respectively).

Valuation is not nearly as stretched. S&P 500 currently trades at a forward P/E of 16x compared with 25x at the peak in 2000. The price/book ratio is 2.7x versus 6.Xx. The EV/sales is currently 1.8x compared with 2.7x in 2000.

More balanced market. The reason it is called the “Tech Bubble” is that 14% of the earnings of the S&P 500 came from Tech in 2000 but it accounted for 33% of the equity cap of the index. Today Tech contributes 19% of both earnings and market cap. Top five stocks in 2000 were 18% vs. 11% today.

Earnings growth expectations are far less aggressive. Bottom-up 2014 consensus EPS growth currently equals 9%, close to our top-down forecast of 8%. In 2000, consensus expected EPS growth equaled 17%.

Interest rates are dramatically lower. 3-month Treasury yields were 5.9% in 2000 vs. 0.05% today while ten-year yields were 6.0% vs. 2.7% today. The yield curve was inverted by 47 bp. Today the slope equals +229 bp.

Less new issuance. During 1Q 2000, 115 IPOs were completed for proceeds of $18 billion. In 1Q 2014, 63 completed deals raised $11 billion.

Kostin says based on historical patterns, momentum stocks are unlikely to rebound, but the broader market should still be set for modest returns going forward.

(Sources: Goldman Sachs, Business Insider)