Dead-Cat Bounce by Industry

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Written by and copyright © 2007-2008 by Thomas N. Bulkowski. All rights reserved.

This page shows how often dead-cat bounce event patterns occur in an industry. The fewer that occur, the better the industry is for traders and investors.

For example, suppose you are looking to invest in a new industry. Which one should you choose? You've found an appealing stock in oilfield services and another one in building materials. The below list tells you that the dead-cat bounce rate is 0.7912 for oilfield services and 11.9190 for building materials. Thus, the chance of owning a stock that declines between 15% and 70% in one session is 11.9190/0.7912 or 15 times higher in the building materials industry than it is in the oilfield services industry. All else being equal, you would invest or trade a stock from the oilfield services industry because it is safer.

Two industries tie for first place by having the fewest dead-cat bounces: homebuilding, and metals & mining (diversified). The worst performing (meaning the most dead-cat bounces), is the Internet industry.

Be sure to return to the home page for more trading information

Top 10 industries

Worst 10 industries

Industries, alphabetical sort

Industries, performance sort

Methodology

Top 10 Industries

<Rank><Industry><Raw score>

  1. Homebuilding: 0.0000 (Tie for best)
  2. Metals & Mining (Div.): 0.0000 (Tie for best)
  3. Water Utility: 0.7013
  4. Oilfield Svcs/Equipment: 0.7912
  5. Petroleum (Producing): 0.8013
  6. Insurance (Prop/Casualty): 1.2495
  7. Chemical (Diversified): 1.5026
  8. Petroleum (Integrated): 1.5291
  9. Electric Utility (East): 1.5297
  10. Food Processing: 1.6453

Worst 10 Industries

<Rank><Industry><Raw score>

  1. Air Transport: 8.9939
  2. Human Resources: 9.3693
  3. Medical Supplies: 10.5895
  4. Computers & Peripherals: 11.2197
  5. Semiconductor Cap Equip.: 11.2601
  6. Drug: 11.5676
  7. Building Materials: 11.9190
  8. Retail (Special Lines): 13.8675
  9. Semiconductor: 15.7000
  10. Internet: 18.2355 (Worst)

Industries Sorted Alphabetically

<Rank><Industry><Raw score>

21. Aerospace/Defense: 3.6109
35. Air Transport: 8.9939
32. Apparel: 7.0778
31. Biotechnology: 6.4798
41. Building Materials: 11.9190
24. Cement & Aggregates: 4.0106
16. Chemical (Basic): 2.2887
 7. Chemical (Diversified): 1.5026
26. Chemical (Specialty): 4.8457
38. Computers & Peripherals: 11.2197
19. Diversified Co.: 2.5543
40. Drug: 11.5676
18. Electric Utility (Central): 2.5510
 9. Electric Utility (East): 1.5297
12. Electric Utility (West): 1.8704
10. Food Processing: 1.6453
11. Furn/Home Furnishings: 1.8129
 1. Homebuilding: 0.0000
15. Household Products: 2.1070
36. Human Resources: 9.3693
28. Insurance (Diversified): 5.9880
14. Insurance (Life): 2.0966
 6. Insurance (Prop/Casualty): 1.2495
44. Internet: 18.2355
27. Machinery: 4.9885
37. Medical Supplies: 10.5895
30. Metal Fabricating: 6.4216
 1. Metals & Mining (Div.): 0.0000
23. Natural Gas (Distributor): 4.0077
 5. Natural Gas (Diversified): 0.8019
 3. Oilfield Svcs/Equipment: 0.7912
25. Packaging & Container: 4.3755
 8. Petroleum (Integrated): 1.5291
 4. Petroleum (Producing): 0.8013
34. Precision Instrument: 8.1670
42. Retail (Special Lines): 13.8675
20. Retail Building Supply: 2.7027
22. Retail Store: 3.8867
13. Securities Brokerage: 2.0416
39. Semiconductor Cap Equip.: 11.2601
43. Semiconductor: 15.7000
29. Shoe: 6.3247
33. Toiletries/Cosmetics: 7.4752
17. Trucking/Transp. Leasing: 2.4156
 2. Water Utility: 0.7013

Industries Sorted by Performance

<Rank><Industry><Raw score>

  1. Homebuilding: 0.0000 (Tied for best)
  2. Metals & Mining (Div.): 0.0000 (Tied for best)
  3. Water Utility: 0.7013
  4. Oilfield Svcs/Equipment: 0.7912
  5. Petroleum (Producing): 0.8013
  6. Natural Gas (Diversified): 0.8019
  7. Insurance (Prop/Casualty): 1.2495
  8. Chemical (Diversified): 1.5026
  9. Petroleum (Integrated): 1.5291
  10. Electric Utility (East): 1.5297
  11. Food Processing: 1.6453
  12. Furn/Home Furnishings: 1.8129
  13. Electric Utility (West): 1.8704
  14. Securities Brokerage: 2.0416
  15. Insurance (Life): 2.0966
  16. Household Products: 2.1070
  17. Chemical (Basic): 2.2887
  18. Trucking/Transp. Leasing: 2.4156
  19. Electric Utility (Central): 2.5510
  20. Diversified Co.: 2.5543
  21. Retail Building Supply: 2.7027
  22. Aerospace/Defense: 3.6109
  23. Retail Store: 3.8867
  24. Natural Gas (Distributor): 4.0077
  25. Cement & Aggregates: 4.0106
  26. Packaging & Container: 4.3755
  27. Chemical (Specialty): 4.8457
  28. Machinery: 4.9885
  29. Insurance (Diversified): 5.9880
  30. Shoe: 6.3247
  31. Metal Fabricating: 6.4216
  32. Biotechnology: 6.4798
  33. Apparel: 7.0778
  34. Toiletries/Cosmetics: 7.4752
  35. Precision Instrument: 8.1670
  36. Air Transport: 8.9939
  37. Human Resources: 9.3693
  38. Medical Supplies: 10.5895
  39. Computers & Peripherals: 11.2197
  40. Semiconductor Cap Equip.: 11.2601
  41. Drug: 11.5676
  42. Building Materials: 11.9190
  43. Retail (Special Lines): 13.8675
  44. Semiconductor: 15.7000
  45. Internet: 18.2355 (Worst)

Methodology

I looked through 466 stocks in 45 industries from 1/1/2000 to 2/8/2007 (encompassing both a bull and bear market). All industries contained at least 5 stocks with the average of 10 stocks per industry. I located all dead-cat bounce event patterns where price dropped at least 15% in one session and then sorted the results by industry. After that, I added the number of dead-cat bounces and divided the result by the sum of the number of days searched for the stocks in the industry (some stocks became public after 1/1/2000, so the periods varied). I multiplied the result by 10,000 to slide the decimal over and give a raw score, which the above list shows.

For example, the 12 stocks in the apparel industry had 15 dead-cat bounce event patterns appear in 21,193 days of daily price data, for a raw score of 7.0778 or 10,000 x 15/21,193.

Two industries did not have any dead-cat bounce event patterns appear during the period studied: homebuilding and metals & mining (diversified). This does not mean that the industry is free of dead-cat bounce event patterns. It just means that I did not find any.

Copyright © 2007-2008 by Thomas N. Bulkowski. All rights reserved. Of course there’s no reason for it. It’s just our policy.