Stock Price Trends

Wolverine World Wide, Inc. (WWW)

founded in 1883 on the belief in the possibility of opportunity, wolverine world wide, inc. (nyse: www) is one of the world’s leading marketers and licensors of branded casual, active lifestyle, work, outdoor sport, athletic, children's and uniform footwear and apparel. through a diverse portfolio of highly recognized brands, our products are designed to empower, engage and inspire our consumers every step of the way. the company’s portfolio includes merrell®, sperry®, hush puppies®, saucony®, wolverine®, keds®, stride rite®, chaco®, bates®, and hytest®. wolverine worldwide is also the global footwear licensee of the popular brands cat® and harley-davidson®. based in rockford, michigan, for more than 130 years, our products are carried by leading retailers in the u.s. and globally in approximately 170 countries and territories.

Stock Price Trends

Stock price trends estimated using linear regression.

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Key facts

  • The primary trend is decreasing.
  • The decline rate of the primary trend is 43.68% per annum.
  • WWW price at the close of March 1, 2024 was $10.15 and was inside the primary price channel.
  • The secondary trend is increasing.
  • The growth rate of the secondary trend is 27.43% per annum.
  • WWW price at the close of March 1, 2024 was higher than the top border of the secondary price channel by $0.02 (0.16%).
  • The direction of the secondary trend is opposite to the direction of the primary trend. This indicates a possible reversal in the direction of the primary trend.

Linear Regression Model

Model equation:
Yi = α + β × Xi + εi

Top border of price channel:
Exp(Yi) = Exp(a + b × Xi + 2 × s)

Bottom border of price channel:
Exp(Yi) = Exp(a + b × Xi – 2 × s)

where:

i - observation number
Yi - natural logarithm of WWW price
Xi - time index, 1 day interval
σ - standard deviation of εi
a - estimator of α
b - estimator of β
s - estimator of σ
Exp() - calculates the exponent of e


Primary Trend

Start date:
End date:

a =

b =

s =

Annual growth rate:

Exp(365 × b) – 1
= Exp(365 × ) – 1
=

Price channel spread:

Exp(4 × s) – 1
= Exp(4 × ) – 1
=

March 8, 2021 calculations

Top border of price channel:

Exp(Y)
= Exp(a + b × X + 2 × s)
= Exp(a + b × + 2 × s)
= Exp( + × + 2 × )
= Exp()
= $

Bottom border of price channel:

Exp(Y)
= Exp(a + b × X – 2 × s)
= Exp(a + b × – 2 × s)
= Exp( + × – 2 × )
= Exp()
= $

February 21, 2024 calculations

Top border of price channel:

Exp(Y)
= Exp(a + b × X + 2 × s)
= Exp(a + b × + 2 × s)
= Exp( + × + 2 × )
= Exp()
= $

Bottom border of price channel:

Exp(Y)
= Exp(a + b × X – 2 × s)
= Exp(a + b × – 2 × s)
= Exp( + × – 2 × )
= Exp()
= $

Description

  • The primary trend is decreasing.
  • The decline rate of the primary trend is 43.68% per annum.
  • WWW price at the close of March 1, 2024 was $10.15 and was inside the primary price channel.

Secondary Trend

Start date:
End date:

a =

b =

s =

Annual growth rate:

Exp(365 × b) – 1
= Exp(365 × ) – 1
=

Price channel spread:

Exp(4 × s) – 1
= Exp(4 × ) – 1
=

August 14, 2023 calculations

Top border of price channel:

Exp(Y)
= Exp(a + b × X + 2 × s)
= Exp(a + b × + 2 × s)
= Exp( + × + 2 × )
= Exp()
= $

Bottom border of price channel:

Exp(Y)
= Exp(a + b × X – 2 × s)
= Exp(a + b × – 2 × s)
= Exp( + × – 2 × )
= Exp()
= $

March 1, 2024 calculations

Top border of price channel:

Exp(Y)
= Exp(a + b × X + 2 × s)
= Exp(a + b × + 2 × s)
= Exp( + × + 2 × )
= Exp()
= $

Bottom border of price channel:

Exp(Y)
= Exp(a + b × X – 2 × s)
= Exp(a + b × – 2 × s)
= Exp( + × – 2 × )
= Exp()
= $

Description

  • The secondary trend is increasing.
  • The growth rate of the secondary trend is 27.43% per annum.
  • WWW price at the close of March 1, 2024 was higher than the top border of the secondary price channel by $0.02 (0.16%).