Industry Specific Hedging - PowerPoint PPT Presentation

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Industry Specific Hedging

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Are there certain industries that over/under perform ... Banking, Energy, Food, Electronics, and Telecom ... Based on Quant Stock Selection Class. Expectational ... – PowerPoint PPT presentation

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Title: Industry Specific Hedging


1
Industry Specific Hedging
  • Golden Toque Capital
  • Carrington Bradley
  • Patrick Kane
  • Pete Rudnick
  • Dennis Wu
  • February 26, 2004

2
Agenda
  • Introduction
  • Industry and Factor Selection
  • Screen Results
  • Portfolio Performance
  • Out of Sample Testing
  • Optimization
  • Parting Thoughts

3
Introduction
  • Industry Specific Comparison
  • Are there certain industries that over/under
    perform based vs. the market?
  • Cams Merrill Lynch work
  • Starting point for variables
  • Interest in using FactSet
  • Cool and powerful tool
  • Get to use a 250,000 laptop

4
Industry Selection
  • Based on SIC Codes
  • Two digit codes in FactSet
  • Minimum of 100 companies listed
  • Banking, Energy, Food, Electronics, and Telecom
  • Compare to US Common Stock returns for same time
    periods
  • 1990 to 2000 in-sample time period

5
Factor Selection
  • Based on Quant Stock Selection Class
  • Expectational
  • Consensus forecast earnings estimate revision
    ratio
  • Change in consensus FY estimates
  • Momentum
  • 1 month Price change
  • 3 month Price change
  • Fundamental
  • Dividend Yield
  • Rate of Reinvestment

6
Energy Screen Results
7
Energy Screen Results
8
Banking Screen Results
9
Banking Screen Results
10
Banking Bivariate Result
11
Out of Sample Results
Energy Sector 2001-2002
Reinvestment
1 month momentum
12

Out of Sample Results
Banking Sector 2001-2002
3 month momentum
1 month momentum
13
Factor Optimization
  • Energy Sector with optimized weights
  • Double SP Risk
  • 27.3 Return

14
Factor Optimization
  • Banking Sector with optimized weights
  • 33 more risk than SP
  • 31.2 Return

15
Parting Thoughts
  • None of our 8 screening factors were effective
    screens for total US stocks
  • Screening by return and going long yields average
    monthly return Energy -0.26, Banking 0.16
  • Solver optimized weights had correct sign
  • Made lots of money, but did not consider trading
    costs

16
Additional Slides
17
Factors
  • Code 1 1 month price change
  • G_PRICE_1MCHG
  • Code 2 3 month price change
  • G_PRICE_3MCHG
  • Code 3 Div yield
  • G_DIV_YLD(NR 0 L45D)
  • Code 4 Rate of reinvestment
  • G_REINV_RATE(NR 0 L45D)
  • Code 5 Consensus forecast earnings est.
    revision ratio
  • (IH_UP_FY1R(0)- IH_DOWN_FY1R(0))/IC_NEST_FY1R(0)
  • Code 6 Change in consensus FY estimates
  • IH_MEAN_FY1R_3MCHG
  • Code 7 Operating Cash Flow/Sales
  • G_CASH_FLOW/G_SALES
  • Code 8 Interest Coverage
  • G_INT_COV

18
SIC 13 Summary Energy
19
SIC 60 Summary Banks
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