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Trading Strategy Investigation

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CapEx is reported quarterly after the quarter when the investment is made, so ... CapEx may have an impact longer than one quarter, so we also looked at 1 year returns ... – PowerPoint PPT presentation

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Title: Trading Strategy Investigation


1
Trading StrategyInvestigation
  • BANKRUPTCY INTERNATIONAL
  • Sumit Laddha
  • John Maniatis
  • Ozlem Tanik
  • Robert Scott
  • Melissa Dowsett

2
Agenda
  • Introduction
  • Strategy
  • Methodology
  • Results
  • Out of sample testing
  • Conclusion

3
Topic Hypothesis
  • Examine a trading strategy based on using Capital
    Expenditure in the Utilities Industry
  • High Capital Expenditure as a of Total PPE is
    a sign of future revenue and earnings increases
    in an industry with heavy capital expenditure
    requirements and low RD like Utilities

4
Strategy Approach
  • Future returns of companies with high capital
    expenditures will be higher than the index due to
    increased future revenue and earnings generated
    by the CapEx
  • Approach is to build portfolios based on
    CapEx/Total PPE. Compare high / low portfolio
    performance to the SP 500 Utilities Index

5
Variables
  • CapEx/Total PPE
  • Adjusts for the relative size of the company and
    shows the relative size of the expenditure
  • Returns
  • If the market responds to CapEx itself then we
    should see a good correlation with the shortest
    lag of returns
  • CapEx is reported quarterly after the quarter
    when the investment is made, so the minimum is a
    lag 2 return

6
Variables
  • Returns (continued)
  • If the market responds to the resulting increase
    in earnings/revenues, there will be a correlation
    with lag 3 or lag 4 returns
  • CapEx may have an impact longer than one quarter,
    so we also looked at 1 year returns

7
Data Selection
  • The index selected was the SP500 Utilities Index
  • Reasonable number of companies (approximately
    30-35)
  • Industry where CapEx is a sign of growth in
    operating capacity
  • Mature industry

8
Time Frame
  • Time frame selected was quarterly samples for
  • In sample 1980-1995
  • Out of sample 1996-2000

9
Data Collection
  • Required CapEx and PPE as well as Price
    information
  • Issues
  • Missing all data on 4 companies (Columbia Gas,
    Ensearch,
  • Cant get future returns on a company that leaves
    the index because it has been acquired (due to
    lagging and the use of 1 year returns this
    impacted on portfolio selection for up to eight
    quarters before the company actually left the
    index)

10
Evaluation of Variables-1Y
11
Evaluation of Variables-1Q
12
Results-1Q Capex
13
Results-1Y Capex
14
Out of Sample Testing
15
Conclusion
  • Our hypothesis is not supported by our analysis
  • We observe a consistent reverse relationship
    between Capex and price.

16
Conclusion-Possible reasons
  • High capex gtdecrease in cash flows
  • Effects of capex on profitability seen in longer
    time horizons
  • Capex includes replacement cost (to overcome,
    compare with depreciation)
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