State Space Models

All state space models are written and estimated in the R programming language. The models are available here with instructions and R procedures for manipulating the models here here.

Saturday, December 3, 2011

SPB: Spectrum Brands

Spectrum Brands (SPB) is a global branded consumer products holding company located in Madison, WI. Spectrum is probably best know for the Rayovac Battery, Remington, Black & Decker and Faberware brands. Essentially, SPB acquires brands that have somewhat lost their consumer appeal, merges the brand within their infrastructure and, hopefully, resurrects the brand's image. This stock caught my attention because SPB just received a $4M forgivable loan from the Wisconsin Economic Development Corporation, a public-private partnership promoting the governor's "Wisconsin is Open for Business Message". The question is, was the money well spent? How long is it likely that the company will keep nearly 500 jobs at its corporate offices in Madison, WI (the reason for the forgivable loan)?
SPB promotes itself as a global company. The graphic above shows the time plot of SPB's stock price. The dashed red line is the dynamic attractor driven by the world economy (the blue and green dashed lines are the 98% bootstrap prediction intervals). SPB emerged from bankruptcy in 2009 (here) and was re-listed on the NYSE. I not sure what to say about the company's future, but the stock price is heading for a crash. If the company follows the stock price then the 500 jobs are probably only good for another few years.

Thursday, November 3, 2011

The Collapse of MF Global and Maybe Jefferies

The Random Stock Walker is always interested in the collapse of Wall Street firms. When MF Global declared bankruptcy this week, the event caught our attention. The primary question is "Could the collapse have been predicted by the stock's history?" Investors are always in the position of having really very little information about critical activities that might get a firm in trouble, the unknown unknowns.

Someone out there in the market probably knows about the unknowns it's just not you, the individual investor. Jim Cramer of CNBC makes the argument that the "smart money" is more likely to know and that since the smart money drives the market, retail investors have to comb through the entrails of stock prices, analyst statements and conference calls to figure out which way the smart money and thus the market is moving. In other words, there should be some evidence of impending collapse in historical stock prices.

The time plot above graphs the dynamic attractor for MF Global (MF). The attractor is primarily driven by the world economy and, what is more, the attractor is very sensitive to world oil prices. On the Google stock page (here), MF global is described as a "...broker in markets for commodities and listed derivatives." The current description of "the trade that killed MF Global" (here) involves are "repo-to-maturity" trade in EU sovereign debt. This may well be the tipping point trade that brought down the house of cards but the Random Stock Walker models suggest that activities in the oil market would have eventually killed the firm also.
The reason that the Jefferies Group, an investment bank (JEF), became involved in the MF Global collapse is that JEF was involved in the financing of the sovereign debt deal. As a result, JEF was downgraded by the Eagan-Jones Rating Agency and questions began to swirl around Jefferies. One of the questions involved "lack of transparency," those unknown unknowns again.

The Random Stock Walker attractor model shows a similar fate for JEF and a similar linkage to world commodity markets creating the collapse. Of course, it will be difficult to verify all this and it's only a statistical result. Regardless, there isn't really any reason for retail investors to be in either of these two stocks after the 2007 Financial Crisis.

Sunday, September 25, 2011

When To Buy or Sell AAPL?

Apple Computer (AAPL) continues to do very well even after the departure of Steve Jobs. On the October 20th edition of Fast Money on CNBC, Carter Worth (chief market technician at Oppenheimer & Co) recommended doing what the hedge funds do: sell Apple when it breaks trend.
To determine trend, Worth suggested simply drawing a line along the low prices (see the solid red line above, the top graphic shows the moving average line in solid red) to establish trend. The graphic above compares the "trend selling" approach to the attractor bootstrap 98% prediction intervals for AAPL. The logic of attractor analysis would seem to be to take some money off the table anytime that a stock is above its attractor value and to definitely sell when the stock crosses the lower 98% prediction interval on the way down. You would buy in again either when the stock crossed the lower 98% prediction interval on the way up or when it bounced off the bottom (2009 for AAPL), if you can somehow tell where the bottom is.

In either approach, you would have been totally out of AAPL in late 2008 and buying back in (depending on the other uses of your money) until 2011 when you might have started taking some money off the table using attractor analysis. For the future, it's less clear that trend selling will work past the middle of 2012 when the trend line crosses the attractor.

It will be interesting to wait and see how each approach works about one year from now. It would also be interesting to compare how well these two approaches would have done in terms of a portfolio that invested $1000 at the bottom in 2009. The trick would be to decide what the portfolio's "other uses of money" might have been!