# The Macerich Company (MAC)

macerich (nyse: mac) an s&p 500 company, is a fully integrated self-managed and self-administered real estate investment trust, which focuses on the acquisition, leasing, management, development and redevelopment of regional malls throughout the united states. macerich specializes in successful retail properties in many of the country’s most attractive, densely populated markets with significant presence in california, arizona, chicago, greater new york metro and washington, dc. additional information about macerich can be obtained from the company’s website at www.macerich.com.

## Stock Price Trends

Stock price trends estimated using linear regression.

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#### Key facts

• The primary trend is increasing.
• The growth rate of the primary trend is 92.93% per annum.
• MAC price at the close of March 1, 2024 was \$16.52 and was lower than the bottom border of the primary price channel by \$48.33 (74.52%). This indicates a possible reversal in the primary trend direction.
• The secondary trend is decreasing.
• The decline rate of the secondary trend is 13.07% per annum.
• MAC price at the close of March 1, 2024 was higher than the top border of the secondary price channel by \$1.73 (11.66%). This indicates a possible reversal in the secondary trend direction.
• 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 MAC 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
=

Exp(4 × s) – 1
= Exp(4 × ) – 1
=

#### March 16, 2020 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()
= \$

#### January 14, 2022 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 increasing.
• The growth rate of the primary trend is 92.93% per annum.
• MAC price at the close of March 1, 2024 was \$16.52 and was lower than the bottom border of the primary price channel by \$48.33 (74.52%). This indicates a possible reversal in the primary trend direction.

### Secondary Trend

Start date:
End date:

a =

b =

s =

Annual growth rate:

Exp(365 × b) – 1
= Exp(365 × ) – 1
=

Exp(4 × s) – 1
= Exp(4 × ) – 1
=

#### December 3, 2020 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()
= \$

#### December 12, 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()
= \$

#### Description

• The secondary trend is decreasing.
• The decline rate of the secondary trend is 13.07% per annum.
• MAC price at the close of March 1, 2024 was higher than the top border of the secondary price channel by \$1.73 (11.66%). This indicates a possible reversal in the secondary trend direction.