New York, NY – Stock Sorting Ability – Each quarter, the team at Integrity Research Associates tabulates data on performance for the companies in the Investars equity research performance evaluation database (www.investars.com). The data is as of the end of March 31, 2007 and covers a full year of performance.
One of the more compelling metrics that has been looked at is the ability of a research firm to allocate stocks into the correct categories – BUY, SELL or HOLD.
The rationale for this metric is that if a research company is worth its salt its BUY recommendations should consistently outperform its HOLD recommendations, its HOLD recommendations should outperform its SELL recommendations and its BUY recommendations had better outperform its SELL recommendations.
Having said that, there are a few ways in which one could go about measuring this. At Integrity Research we take both a simplistic approach and a more complex approach. The simple approach is as follows:
BUYS > SELLS = 50 points
BUYS > HOLDS = 25
HOLDS > SELLS = 25
ELSE = 0
The index value is the sum of the individual index values.
While this metric is appealing in its simplicity when examining the attributes of a particular research company, it is not very interesting when comparing a number research companies against each other. The points system is valid but, like the batting average, has no way of accounting for the magnitude of the differences between the various portfolios.
For example, there were 30 companies that had perfect 100 scores. He Sort sorting ability of the group as a whole improved from the fourth quarter of 2006 to the first quarter of 2007. Those RPs that received a score of 100 increased from 30 to 38 over the quarter and the number of firms with a score of 75 improved from 37 to 43.
See below table:
Sorting Ability |
Number of Companies |
Number of Companies |
||
Score |
Q4 2006 |
Q1 2007 |
||
100 |
30 |
38 |
||
75 |
37 |
43 |
||
50 |
0 |
0 |
||
25 |
27 |
29 |
||
0 |
26 |
20 |
||
It is apparent that the results of the stock sorting index are not very granular in their ability In the interests of ranking companies in a more granular manner we have added a wrinkle to the sorting ability metric. Rather than a simple points system, we have created a weighted average sorting ability metric.
The weights to the metric are the actual differences between, for example, the BUYS and the HOLDS of a particular research companies returns. Just to be clear this metric has nothing to do with return, it is simply a raw score. The higher the score the better the job the research company did in sorting stocks into the appropriate buckets.
Below we tabulate the results of our analysis:
10 of the Top IRPs and IBs for the year ended March 31, 2006
Stock Sorting Score
Rank | Research Company | IRP / IB |
1 | Longbow Research | IRP – Fund |
2 | Taglich Brothers | IB – Fund |
3 | Fundamental Research Corp | IRP – Fund |
4 | Columbine Capital Services | IB – Quant |
5 | Ativo Research | IRP – Quant |
6 | Rochdale | IB – Fund |
7 | Citigroup Investment Research | IRP – Fund |
8 | Zacks Investment Research | IRP – Fund |
9 | Goldman Sachs | IRP – Fund |
10 | Ford Equity Research | IB – Quant |
There is a solid mix of research category and coverage mix in the top 10 stock sorters list. There were three quantitative shops in the top ten and 7 Fundamental research shops. With in the more consistent firms, three have a smaller coverage list (less than 500) while the other 7 cover a greater number of stocks. The diversity of winners in the this table suggest that this metric may be a starting point to comparing research firm that analyze stocks very differently and have different levels of specialization.
Note: The data used in the above article, comes from the Investars web site. The Analysis and conclusion of this article are those of Integrity Research Associates. Investars has re-engineered its product offering, which now includes a full suite of services to the buy- and sell-side to track research performance, manage research and to integrate this into the broker vote system.
Comment by Rob Tholemeier:
Still unaddressed in these “stock picking performance” ratings is the impact of changing ratings while the market is closed allowing analyst to pad performance by using NEXT AVAILABLE price (the opening) when downgrading or upgrading.
Comment by David Miller:
It’s a shame someone doesn’t do a more flexible independent anallysis of the performance of independent research. Investstars is fine as far as they go, but they still hold to the traditional, outdated sell-side model of buy, sell, and hold.
In a marketplace increasingly dominated by options and other derivatives, that doesn’t translate well. For example, let’s say we have a stock listed as overweight in our Model Portfolio. That’s could easily be translated as a “Buy”. But what if that position is partially covered by puts? Is that “buy” now a “neutral”? A “sell”?
Or what about being short calls against a core long position on a stock in a Model Portfolio? How does that get translated into a performance scheme where buy, sell, and hold are the only options?
Depending on the situation, derivatives plays could be a very important factor in the overall performance posted by an alternative/independent research firm. These nuances are simply not translatable in Investstar’s current model (we tried, by the way).
Any chance IRA can come to the rescue with their own rankings — rankings that more accurately match the sophistication of today’s investors and the alternative research community? We’d certainly welcome that and I expect our firm is not alone.