# Newell Brands Inc. (NWL)

newell brands (nyse: nwl) is a leading global consumer goods company with a strong portfolio of well-known brands, including paper mate®, sharpie®, dymo®, expo®, parker®, elmer's®, coleman®, jostens®, marmot®, rawlings®, oster®, sunbeam®, foodsaver®, mr. coffee®, rubbermaid commercial products®, graco®, baby jogger®, nuk®, calphalon®, rubbermaid®, contigo®, first alert®, waddington and yankee candle®. we are focused on driving growth acceleration. at newell brands, a $16 billion consumer goods powerhouse formed by the combination of newell rubbermaid inc. and jarden corporation, our aspirations are bigger and bolder than ever. we are driven by the prospect of building one of the leading consumer goods companies in the world – a company that helps consumers live better every day, where they live, learn, work and play. we’re focused on driving a performance culture and building a bigger, stronger, faster growing and more profitable company. with a team fit for the company we aspire to be

## 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 40.50% per annum.
- NWL price at the close of February 16, 2024 was $7.67 and was inside the primary price channel.
- The secondary trend is increasing.
- The growth rate of the secondary trend is 75.56% per annum.
- NWL price at the close of February 16, 2024 was inside the secondary price channel.
- 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:

Y_{i} = α + β × X_{i} + ε_{i}

Top border of price channel:

Exp(Y_{i}) = Exp(a + b × X_{i} + 2 × s)

Bottom border of price channel:

Exp(Y_{i}) = Exp(a + b × X_{i} – 2 × s)

where:

i - observation number

Y_{i} - natural logarithm of NWL price

X_{i} - time index, 1 day interval

σ - standard deviation of ε_{i}

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

=

#### April 29, 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 16, 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 40.50% per annum.
- NWL price at the close of February 16, 2024 was $7.67 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

=

#### October 5, 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()

= $

#### February 16, 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 75.56% per annum.
- NWL price at the close of February 16, 2024 was inside the secondary price channel.