# BJ's Restaurants, Inc. (BJRI)

since our humble beginnings back in 1978, we’ve continued to refine our brewhouse experience to make bj’s a place where you can make the most of any meal. we want bj’s to be a place where the moment you leave is the moment you plan on coming back. we pride ourselves in our craft and attention to detail. our guests come here for our award-winning handcrafted beer. they come here for the southern california twist we’ve put on the chicago-style pizza. and they come here for our pizookies, our world-renowned dessert. but above all we know people come here to make their good times better. so in many ways we haven’t just crafted a brand, but a mindset. and our guests are the reason for this. and it’s because of them we’re continually striving to make sure every moment they choose to spend with us counts. welcome to bj’s.

## Stock Price Trends

Stock price trends estimated using linear regression.

## Paying users area

The data is hidden behind and trends are not shown in the charts.
Unhide data and trends.

This is a one-time payment. There is no automatic renewal.

#### Key facts

• The primary trend is increasing.
• The growth rate of the primary trend is 809.07% per annum.
• BJRI price at the close of December 8, 2023 was \$32.75 and was inside the primary price channel.
• The secondary trend is increasing.
• The growth rate of the secondary trend is 101.72% per annum.
• BJRI price at the close of December 8, 2023 was inside the secondary price channel.

### 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 BJRI 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
=

#### October 3, 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()
= \$

#### December 8, 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()
= \$

### 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
=

#### November 15, 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()
= \$

#### December 8, 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()
= \$