NDW Virtual Symposium - December 10, 2020 - 12pm to 4pm ET

Join us for this free half-day event that will provide you with in-depth knowledge on how to use Point & Figure Relative Strength to create a scalable, repeatable process for your business to sharpen your value proposition. Click here to see the full agenda. Click here to register today! *CFP & CIMA CE pending

Event sessions include:

• Foundations of Relative Strength/Momentum investing
• Knowledge of our toolbox of technical market indicators
• How to apply RS as a means of identifying factors that are leading in changing market environments

We are excited to announce phase three of the Nasdaq Dorsey Wright Model Builder with the launch of Matrix and FSM-based Relative Strength (RS) Testing Service. As part of this launch, we are granting you free access to the service for the remainder of 2020. The tool is designed to help you more easily design, test, implement, and monitor custom models powered by the Nasdaq Dorsey Wright methodology. Through the end of December, be sure to join us each Thursday at 1 pm EST for a custom modeler demo presented by the analyst team. There will not be a Model Builder Webinar next week due to the market holiday. The webinars will resume on December 3.

11/19/2020: Static Model Builder Demo Replay - Click Here

11/12/2020: Matrix Model Builder Demo Replay - Click here

11/5/2020: FSM Model Builder Demo Replay - Click here

Click here to register for future Nasdaq Dorsey Wright Model Builder Demos

“It was a quiet day on Wall Street” – as many will say during the holidays. Although not always the case, like Christmas Eve in 2018, market holidays usually bring lower trading volume for the neighboring days. This intuitively makes sense given volume measures the number of shares that change hands of ownership; however, to quantify this statement we looked at the volume traded on the Nasdaq and New York Stock Exchange surrounding each market holiday since January of 2000. We then took each reading and averaged the two to gain a more holistic picture of the domestic equity market. As shown beneath, we observed below-average activity during each of the periods, particularly during summer holidays like Independence Day and Labor Day. Broad equity index returns neighboring major holidays are also rather muted and mixed, with just over half the observations counting favorably.

As we arrived at the beginning of November, much of the investment community had heightened concerns about the prospects for continued domestic equity growth during what was assumed to be a volatile market environment with the potential for a contested US presidential election. This has largely proven to not be the case, however, as the core domestic equity market, represented by the S&P 500 Index SPX, has posted a gain of 8.79% since the end of October. While the magnitude of these gains would have been difficult for anyone to predict, we do see that most US presidential election cycles generally produce positive returns for domestic equity indices in the two months after the election, regardless of which party wins (as discussed here). This is not the case every year, as some market environments remain immune to historical tendencies due to extraordinary events, such as those recently seen in 2000 and 2008. Nonetheless, the bias toward positive average equity returns following US presidential elections remains intact. Markets generally do not like uncertainty, and so it is not necessarily surprising that we typically see domestic equity improvement when most of the country understands the political direction of the US for the next four years.

Although broad domestic equity indices have continued to march higher over the past few weeks, the assumed change of the political party in the white house brings about the question of how this may affect sector leadership within these indices. In order to examine this question further, we have looked at the historical performance of 10 broad domestic equity industry sectors following US presidential elections using data pulled from the Ken French Data Library. This is the same Ken French from the famous Farma-French Model. This data was used as it ran from October 1928 through October 2017, allowing us to take our testing back significantly further than what is offered by the current GICs sectors. A breakdown of what is included in each of the ten industries can be found below:

Using these sectors, we then took the average returns of each portfolio over a forward 2 month, 6 month, and 12 month timeframe, starting at the end of October of each election year. These average returns were then further separated by the political party that won each election, with 11 republican years since 1928 and 12 democratic years through 2016. The results of each industry’s performance in the three different timeframes can be found below, along with commentary. Note that these industry indices are market-cap weighted and use total return data.

• The first observation from the forward two month return averages is that every sector posted positive average returns regardless of the political party that won the election.
• Telecom had the highest average return of any sector for years when a democratic candidate won, with a gain of over 4%. It was also the only sector where the average democratic year gain outpaced the average republican year gain.
• Healthcare, technology, and energy all sit behind telecom with average gains exceeding 2% in the two months after a victory for the democratic candidate.
• Utilities produced the worst average returns in the two-month timeframe after a democrat victory.

• Moving six months out from an election produces substantially higher returns in most sectors examined, with each sector again showing positive average returns regardless of the party in power.
• Consumer durables is the best performing sector, on average, in the six months after a democratic candidate wins the election, at an average gain of 10.21%.
• There are five other sectors that posted average six month gains exceeding 8% in years where democrats won: consumer non-durables, manufacturing, energy, technology, and the other classification (which includes financials).
• Utilities was again the worst performing sector for years of democrat victories, gaining just over 2% on average.

• The themes from the 6 months forward performance evaluation are furthered in the 12 month timeframe, as we see consumer durables continued to produce the highest average returns at a gain of over 25%. The average for durables in years of victories for democrats is actually the only sector-party breakdown to post a gain exceeding 20% in this 12-month window.
• Interestingly enough, the average for consumer durables in years of republican victories is the only industry to post negative returns throughout any of the three timeframes examined.
• Eight of the other sectors show positive average returns between 14-19% 12 months after a democratic victory, with utilities again bringing up the rear at an average gain of 7.28%.

Daily Option Ideas for November 23, 2020