“Sell in May and Go Away” or “Stay and Play” – you decide. Real Time Economic Calendar provided by Investing.com. **NEW** As part of the ongoing process to offer new and up-to-date information regarding seasonal and technical investing, we are adding a section to the daily reports that details the stocks that are entering their period of seasonal strength, based on average historical start dates. Stocks highlighted are for information purposes only and should not be considered as advice to purchase or to sell mentioned securities. As always, the use of technical and fundamental analysis is encouraged in order to fine tune entry and exit points to average seasonal trends. Stocks Entering Period of Seasonal Strength Today: Medtronic, Inc. (NYSE:MDT) Seasonal Chart The Markets Stocks ended mixed on Tuesday as investors maintained a wait-and-see approach ahead of key earnings scheduled after the closing bell, as well as the FOMC meeting announcement on Wednesday. The S&P 500 Index continues to hover around support at its 20-day moving average as volumes and momentum continue to wane. This is a market that is clearly waiting for a catalyst, either to fuel a breakout or breakdown as the period of seasonal strength for the broad market nears an end. We want to explore a topic of discussion that we’ve seen with greater frequency over the past few years. It pertains to the use of geometric means and arithmetic averages in the calculation of seasonal studies. Coming into the unfavourable period for stocks, I’m sure you’ve heard by now that the broad market, as gauged by the S&P 500 Index, has produced a flat result (+0.14%), on average, between May 5th and October 27th since 1950. Positive results were realized in 41 of the past 66 periods, or a 62.1% frequency of success. However, looking at a geometric mean of this unfavourable period, the result shifts negative, coming in at –0.40%, impacted by some significant drawdowns that have occurred over the past 66 years. This analysis does not take into account the impact of dividends, which can add considerable value to portfolios during a volatile summer period. Depending on volatility, the difference between the geometric and arithmetic mean calculations can often be insignificant. For ease of understanding, we tend to focus on the arithmetic mean in our publications and database, although we do look at both as part of our regular analysis. Considering the geometric mean alone, the well known adage “sell in May and go away” seems to be justified as holding the S&P 500 Index strictly during the period of volatility for stocks would have resulted in a decline for equity portfolios since 1950. But what if we take each year as being independent of one another, rather than a series where investors just blindly invest during this period of seasonal weakness. The largest declines during this summer period have occurred in and around recessionary periods, the most notable of which was the last economic downturn that saw a May to October decline in 2008 of 39.7%. There has been 13 May to October periods with declines of 5% or more since 1950, the worst of which were the result of recessionary downturns. This is where fundamentals come into play. Generally, it is best to avoid equities when the economy is contracting, whether it be within the seasonally favourable or unfavourable period for stocks. So while it is easy to paint the summer as being a negative period, taking an unbiased, independent look at each period may be appropriate to assure that you’re not selling stocks during a season that has shown more successes (positive years) than failures. S&P 500 Index Returns between May and October Start Date End Date Return May 5, 2015 October 27, 2015 -1.13% May 5, 2014 October 27, 2014 4.08% May 5, 2013 October 27, 2013 9.00% May 5, 2012 October 27, 2012 3.13% May 5, 2011 October 27, 2011 -3.78% May 5, 2010 October 27, 2010 1.42% May 5, 2009 October 27, 2009 17.66% May 5, 2008 October 27, 2008 -39.69% May 5, 2007 October 27, 2007 1.97% May 5, 2006 October 27, 2006 3.89% May 5, 2005 October 27, 2005 0.53% May 5, 2004 October 27, 2004 0.35% May 5, 2003 October 27, 2003 11.29% May 5, 2002 October 27, 2002 -16.38% May 5, 2001 October 27, 2001 -12.79% May 5, 2000 October 27, 2000 -3.70% May 5, 1999 October 27, 1999 -3.76% May 5, 1998 October 27, 1998 -4.50% May 5, 1997 October 27, 1997 5.62% May 5, 1996 October 27, 1996 9.24% May 5, 1995 October 27, 1995 11.46% May 5, 1994 October 27, 1994 3.21% May 5, 1993 October 27, 1993 4.52% May 5, 1992 October 27, 1992 0.40% May 5, 1991 October 27, 1991 0.89% May 5, 1990 October 27, 1990 -9.95% May 5, 1989 October 27, 1989 8.92% May 5, 1988 October 27, 1988 7.14% May 5, 1987 October 27, 1987 -21.04% May 5, 1986 October 27, 1986 0.44% May 5, 1985 October 27, 1985 4.13% May 5, 1984 October 27, 1984 3.88% May 5, 1983 October 27, 1983 0.34% May 5, 1982 October 27, 1982 14.97% May 5, 1981 October 27, 1981 -8.46% May 5, 1980 October 27, 1980 20.21% May 5, 1979 October 27, 1979 -0.12% May 5, 1978 October 27, 1978 -2.01% May 5, 1977 October 27, 1977 -7.76% May 5, 1976 October 27, 1976 0.87% May 5, 1975 October 27, 1975 -0.39% May 5, 1974 October 27, 1974 -23.19% May 5, 1973 October 27, 1973 0.34% May 5, 1972 October 27, 1972 3.74% May 5, 1971 October 27, 1971 -9.63% May 5, 1970 October 27, 1970 5.75% May 5, 1969 October 27, 1969 -6.13% May 5, 1968 October 27, 1968 5.62% May 5, 1967 October 27, 1967 0.55% May 5, 1966 October 27, 1966 -8.76% May 5, 1965 October 27, 1965 3.12% May 5, 1964 October 27, 1964 5.09% May 5, 1963 October 27, 1963 5.68% May 5, 1962 October 27, 1962 -17.66% May 5, 1961 October 27, 1961 2.74% May 5, 1960 October 27, 1960 -2.26% May 5, 1959 October 27, 1959 -0.57% May 5, 1958 October 27, 1958 15.14% May 5, 1957 October 27, 1957 -12.41% May 5, 1956 October 27, 1956 -4.62% May 5, 1955 October 27, 1955 11.95% May 5, 1954 October 27, 1954 13.18% May 5, 1953 October 27, 1953 -3.08% May 5, 1952 October 27, 1952 1.82% May 5, 1951 October 27, 1951 0.18% May 5, 1950 October 27, 1950 8.51% Arithmetic Mean: 0.14% Geometric Mean: -0.40% Gain Frequency: 62.12% The tendency of the benchmark to perform in the manner that it does comes back to the constituents within it. Looking prior to 1950, the seasonal profile of the US equity market had a significantly different appearance than what it does today. The period of strength for stocks was actually realized in the summer, between May and September, while the September through to May period would see sluggish returns. This was the result of a primarily agriculture driven economy causing equity market returns to peak around the time of the annual harvest. Today, with the pickup in consumer spending in the fall and spring and increased manufacturing activity in the first half of the year, stocks have shown their best gains of the year between October and May, while returns during the off-season are rather lacklustre by comparison. The sectors that tend to draw on the major averages during the summer are those that benefitted from the upside catalysts derived by consumer spending and manufacturing in the favourable season, namely the consumer discretionary, industrial, and material sectors. Looking for opportunities outside of these areas can allow investors to weather the storm during the summer. Higher yielding areas of the market, such as health care, consumer staples, utilities, and REITs have historically provided value over and above the market return between May and October. More cyclical, energy and agriculture have seen strength at certain points of the summer months. And if volatility becomes particularly prominent, gold and bonds provide an ideal hedge through the third quarter. So while stocks are entering a six-month period where returns have historically been less than the six months that preceded it, on average, there always remains opportunities out there. “Sell in May and go away” has become a very broad statement that will inevitably garner criticism from a market that is dominated by fundamental analysts, but, if you look beyond the headline print, you may find ways to “stay and play” in seasonally favoured opportunities. Helping us to answer the question of whether or not the economy is headed towards a recession, a report on durable goods orders for March was released before the opening bell. The headline print indicated that new orders of these long-lasting products increased by 0.8% last month, a rebound from the decline of 3.1% reported previous. The result, however, fell short of analyst estimates calling for a rise of 1.6%. Excluding the more volatile transportation component, orders were down by 0.2%, missing the consensus estimate calling for an increase of 0.5%. Stripping out seasonal adjustments, the Value of Manufacturers’ New Orders for Capital Goods Industries increased by 24.4%, nicely above the average increase for March of 20.6%. The year-to-date change at –1.7% is firmly above the average change through the first quarter of –5.3%. The strength in March’s report was evident in the jump in orders for Defense Capital Goods industries, which rebounded from a below average print realized in February. The year-to-date change for new orders of defense capital goods now sits at +13.7% versus the average change through the first three months of the year of –11.8%. Transportation components continue to act as a drag on the overall report, particularly from orders of nondefense aircraft, which have typically been uneven. Overall, this is a very solid report that continues to suggest a separation from the “woes” realized last year when a strong US dollar and weak commodity prices took their toll on manufacturing segments of the economy. Investors will get their fist glimpse of first quarter GDP this Thursday, the consensus of which is a very understated increase of 0.7%. Sentiment on Tuesday, as gauged by the put-call ratio, ended bullish at 0.80. Seasonal charts of companies reporting earnings today: Seasonal charts of companies reporting earnings on April 27, 2016 VIEW SLIDE SHOW DOWNLOAD ALL S&P 500 Index TSE Composite