Seasonal Investing
What does seasonal investing
include?
By definition,
seasonal investing includes:
A seasonality study preferably uses at least 10 years of data. However, data may not always be available for 10 years. Studies using less than ten years of data can be used, but they tend to be less reliable. Results of shorter term studies have a higher chance of being skewed by a single data point.
Results using at
least ten year of data tend to be stable for long periods of time,
particularly when annual recurring fundamental reasons causing seasonality are
unchanged. However, “statistical” slippage can occur. For example, the
Time length for most periods of seasonal strength or weakness ranges from five weeks to seven months. Special short term periods often related to holidays also have been identified. Examples include strength just before and after U.S. Thanksgiving and strength from just before Christmas to just after the New Year. Also, longer term “cyclical” periods lasting several years have been identified. Most notable is the four year economic or “presidential” cycle. Data for longer term cyclical periods frequently can be overlaid with annual data to refine seasonal entry and exit points.
Some sectors and commodities have more than one period of seasonal strength. A good example is the Canadian financial services sector. Its periods of seasonal strength are from the end of September to the end of December and from the end of February to the end of May. Investors frequently will combine the two periods rather than sell at the end of the first period and repurchase at the beginning of the second period, particularly when the time between the two periods of seasonality is relatively small. In this case, many investors will choose to own the financial services sector from the end of September to the end of May. Traders with a shorter time horizon may choose one or both periods based on fundamental and technical considerations.
Most periods of seasonal strength are NOT followed by a periods of seasonal weakness. In most cases, periods of seasonal strength are followed by a period of random performance. Markets moving from a period of seasonal strength to a period of seasonal weakness are rare, but can occur. One of those rare markets is lumber. Seasonal strength occurs from the end of September to the end of January and seasonal weakness occurs from the end of January to the end of September.
Measuring Seasonality
Seasonality is measured
in three ways:
A seasonal investment by definition is profitable more than 50% of the time. If only 50% of the trades are profitable and 50% are unprofitable, results are random. Confidence in a seasonal trade increases with the frequency of profitable trades. A confidence level for a seasonal trade exceeding is 70% is preferred. A confidence level of 80% frequently is available. A confidence level of 90% is relatively rare. A confidence level of 100% is extremely rare.
Primary Factors Influencing
Seasonality
Seasonality happens because of a series of annual recurring events. The job of a seasonality analyst is to examine if the annual events are likely to recur prior to a period of seasonal strength. If annual recurring events are less likely to occur, the seasonality analyst will avoid recommending a seasonal trade.
The classic example
is a series of recurring events that trigger the annual period of seasonal
strength in the Canadian equity market. The TSX Composite Index has an historic period
of seasonal strength from the end of September to the end of April. The
strategy is known as the “Buy when it snows, sell when it goes” strategy:
Canadian equity markets start to move higher near the end of September when the
first snowfalls frequently appear in many parts of southern
Seasonality by the
TSX Composite Index occurs mainly due to a series of annual recurring, tax-related
events:
· The TSX Composite Index tends to reach a seasonal low in late September/October when year end tax loss selling swells. Selling is completed by private investors who are looking to offset gains realized earlier in the year. In addition, institutional investors (most notably mutual funds) are looking for ways to become more “tax efficient” prior to year end.
Similar annual recurring
tax related seasonal events also influence
Annual recurring tax-related
events influencing seasonal trades are slightly different in the
·
401 K plans in the
·
Most
Several non-tax
related events favourably influence
Annual recurring events also impact other world equity markets. The London FT Index and the Nikkei Index have a similar period of seasonal strength. The period of seasonal strength for the London FT Index is from the end of October to the end of April. The period of seasonal strength for the Nikkei Index is from the end of October to the end of March.
Annual seasonality in equity markets has a direct influence on the seasonality on all sectors with the possible exception of the gold sector. Seasonality in the gold sector tends to be contra-cyclical to seasonality in world equity markets.
Securities Suitable for
Seasonal Equity Investing
Security suitability
depends on the knowledge level achieved by the investor:
Investors with the least amount of investment knowledge should focus on Exchange Traded Funds (ETF) that track the seasonality of well known equity indices and sectors. A wide variety of ETFs currently are available. Over 690 ETFs currently are listed on North American exchanges. ETFs hold a basket of equities that track an index. Reasons to own ETFs include their diversification, low cost, tax efficiency and ease to buy and sell. Better known Exchange Traded Funds include DIAMONDS (i.e. Dow Jones Industrial Average tracking units), SPYDRS (i.e. S&P 500 Index Deposit Receipts), Qubes (i.e. NASDAQ 100 tracking units) and i60s (i.e. TSX 60 Index units).
Investors with access to reliable fundamental analysis sources can choose individual equity securities that track a period of seasonal strength. Top choices are individual equities with encouraging news making potential during the period of seasonal strength.
Similarly, investors with access to reliable technical analysis sources can choose individual equity securities that are developing favourable technical patterns during a period of seasonal strength.
Investors with greater investment knowledge can apply sophisticated strategies including various conservative listed option strategies that tie into periods of seasonal strength. Possible listed option strategies include:
· Covered call writes (i.e. the purchase of a favoured equity security or ETF and the simultaneous sale of listed call options). Covered call writes are the preferred conservative option strategy for seasonal investors. Equity positions are purchase at the beginning of a period of seasonal strength and appropriate calls are sold against the positions with expiry at the end of the period of seasonal strength. Net result: equity positions on a successful seasonal trade automatically are liquidated at the end of the period of seasonal strength.
· Cash secured put writes (i.e. the sale of put options against a cash equivalent position that is sufficient to purchase the equity security or ETF.
· Synthetic stock positions (i.e. the simultaneous purchase of call options and sale of put options while holding a cash equivalent security that is sufficient to purchase the stock).
· Portfolio insurance (i.e. the purchase of put options against an equity security, ETF or equity portfolio).
Generally, a seasonal trade with mutual funds is not recommended. Most mutual funds are more costly, less profitable and less tax efficient than Exchange Traded Funds or a basket of individual equities. In addition, liquidity is an issue. Most mutual funds dissuade investors from buying and selling within a 90 day period. Exceptions exist: Mutual funds are preferred when a chosen sector is not well represented or is imbalanced in an Exchange Traded Fund.
Combining Seasonality with
Technical and Fundamental Analysis
Using seasonality as a “stand alone” tool to make investment decisions is NOT recommended. Seasonality is a useful analytical tool, but only when used in conjunction with fundamental and technical analysis. Trades based on seasonality alone are profitable in say seven or eight times out of 10, but are unprofitable in two or three times out of ten.
The same can be said for investment based on technical analysis. Reliable technical patterns such as head-and-shoulders patterns are accurate approximately 75% of the time. However, they are not accurate 25% of the time.
Trades based on
fundamental analysis alone also are not recommended. Fundamental analyst
picks may be profitable most of the time. However, results from a stock picking
contest during 2006 run by the Globe and Mail showed that even the best
fundamental analysts are far from perfect. The contest requested each
participant to choose one stock to buy at the beginning of 2006 and to hold
until the end of the year. Participants included a college student, a financial
journalist and seven of
Chances of a choosing a profitable seasonal trade are greatly enhanced if all three methods of analysis are combined. Of equal importance, chances of losing capital are greatly reduced.
Seasonality analysis
is the bridge between fundamental and technical analysis:
A word of caution
when using seasonality for equity trades! Entry and exit points based on
seasonality studies rarely are precise. A low point for entry into a
seasonal trade and a
Identifying Seasonal Trades
Several methods are
available to identify periods of seasonal strength:
Seasonality Myths
One of the greatest
myths on Wall Street and
Another myth is the
expression “Sell in May and go away”. The myth originated from an actual
period of seasonal strength in the base metal sector. Base metal prices as well
as base metal equity prices tended to peak early in May and bottom near the end
of September. The main reason was the annual operating shut down by base metal
smelters in Europe in July and August for
April, performance in the May to September period is random. This period does not have a sufficient number of annual recurring events to influence equity markets.
Another myth is that the month of October is a weak and dangerous month for North American equity markets. The myth is based on the fact that substantial downdrafts in North American prices have occurred in the month of October. October 1929 and October 1987 are seared into the minds of traders. However, data during the past ten years suggests that fears of weakness in October no longer are founded. The S&P 500 Index has advanced in five of the past 10 periods and the TSX Composite Index has gained in seven of the past 10 periods. On the contrary! October frequently is the month of the year when important seasonal lows frequently are reached.
Identified Periods of
Seasonal Strength for Equity Indices, Equity Sectors, Industrial Commodities and
Selected Stocks as of June 1st 2008
Period (Last 10 Periods) Trades out of 10
Energy End of October
To end of May 12.9% 9
Industrials End of September
To end of December 6.5 8
Information End of September
Technology To end of January 10.1 8
Telecom End of August
To end of December 6.7 7
Consumer End of September
Discretion To end of December 8.2 8
Consumer End of September
Staples To end of December 6.8 9
Financials End of September
To end of December 5.0 9
Health Care End of August
To end of December 5.1 8
Materials End of September
To end of April 12.6 9
Utilities End of February
To end of May 5.5 8
Exchange Traded Funds are available on all of the above sectors.
Following is
seasonality for equivalent Canadian sectors:
Period
(Last 10 Periods) Trades out of 10
Gold ** End
of July
To end of September 11.1
8
Energy ** End of November
To end of May 19.4 10
Information** End of October
Technology To end of January 14.3 7
Consumer End of October
Staples To end of May 6.7 8
Health Care End of November
To end of February 7.9 6
Consumer End of September
Discretion To end of May 7.3 9
Financials** End of September
To end of May 8.8 9
Industrials End of September
To end of May 13.3 10
Telecom End of September
To End of January 9.6 9
Utilities End of July
To end of December 6.2 8
Materials** End of September
To end of February 12.2 8
** Exchange Traded Funds are available.
Index Seasonality
Index Period of Strength Average Return Per # of Profitable
Period
(Last 10 Periods) Trades out of 10
Nikkei Index End of October 4.30% 7
** To end of April
End of April (5.35) % 3
To end of October
** To end of April
End of April (5.48) % 4
To end of September
** To end of April
End of April (5.36) % 4
To end of September
FrankfurtDAX End of September 12.17% 8
** To end of April
End of April (7.80) % 3
To End of September
S&P 500 End of September 5.94% 8
** To end of April
End of April (3.32) % 5
To end of September
Dow Jones End of September 7.53% 9
Industrial To end of April
Average ** End of April (3.66) % 3
To end of September
Dow Jones End of September 15.58% 9
Transportation To end of May
Average ** End of May (8.18) % 5
To end of September
TSX End of September 7.64% 8
** To end of April
End of April (0.59)% 4
To end of September
NASDAQ End of September 10.12% 7
** To end of January
End of January (6.14)% 5
To end of September
Semiconduct To end of February
(SOX) End of February (14.03) % 3
** To end of September
Gold &Silver To end of September
End of September 2.65% 5
To end of July
Amex End of July 12.51% 8
Gold Bug To end of September
End of September 2.43 6
To end of July
Amex End of July 11.07% 9
Biotech ** to end of December
End of December 1.85% 4
To end of July
Russell 2000 End of Sept. 8.60% 9
** To end of January
End of January (3.79) % 4
To end of Sept.
PHLX ** End of November 22.89% 10
Oil Service To end of May
End of May (4.31) % 4
To end of November
Dealers ** to end of January
End of January (0.43) % 4
To end of August
** Exchange Traded Fund available
Industrial and Precious Metal
Commodity Seasonality
Commodity Period of Strength Average Return per #
of Profitable
Period
(Last 10 periods) Trades out of 10
Gold ** End of July 6.8% 8
To end of September
Silver ** End of September 22.3% 7
To end of February
Copper End of October 18.0% 8
To end of March
Aluminum End of September 12.1% 8
To end of February
Lumber End of October 11.9 9
To end of January
Gasoline End of January 23.5 9
To end of April
Natural Gas** To end of December
Natural Gas** To end of October
** Exchange Traded Fund available
Selected Stock Seasonality
Stock Period of Strength Average Return per # of Profitable
Period
(Last 10 periods) Trades out of 10
Cameco End of July 18.4% 6
To end of February
To end of February
Barrick Gold End of July 11.8% 8
To end of September
Newmont End of July 10.5% 8
To end of September
Deere End of June 12.4% 8
To end of December
Potash Corp. End of June 42.0% 8
To end of December
Agrium End of June 25.3% 8
To end of December
Weyerhaueser End of October 11.1% 9
To end of April
West Fraser End of October 16.3% 9
To end of April
To end of April
Canfor End of October 24.3 9
To end of April
Selecting Periods of Seasonal
Strength in Sectors Based On Identified Annual Recurring Events
Information
Technology
Telecom
Health Care
·
Key health care conferences usually are in
September (Oncology conference) and January (JP Morgan health conference). The
sector has a history of reaching a seasonal peak when the JP Morgan health care
conference is held in mid January.
·
A higher frequency of drug approval in the
·
Strongest quarter: fourth quarter in unison with
consumer electronic sales during the Christmas season.
·
Peaks frequently occur shortly after the
· Strength in the July to September period corresponds to strength in gold. Gold strengthens when gold fabricators are buying gold to make jewelry for the Christmas and Dhaliwal seasons.
· Gold stocks and ETFs tend to be contra-cyclical. They move higher during periods of stock market weakness (particularly in summer months).
Amex Biotech (BTK)
· Key healthcare conferences in September (Oncology conference) and January (JP Morgan health care conference).The sector tends to peak just after the JP Morgan health care conference in midJanuary.
· A higher frequency of FDA drug approvals just prior to year end.
Events influencing
Canadian sectors are virtually identical with events influencing