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臺大管理論叢

27

卷第

2

41

Table 1 An Example of IT Expenditures Disclosed by 10-K Reports

THE SAVANNAH BANCORP, INC. AND SUBSIDIARIES

Consolidated Statements of Income

($ in thousands, except per-share data)

For the Years Ended December 31

2007

2006

2005

Non-interest expense

Salaries and employee benefits

11,846

10,852

9,530

Occupancy and equipment

3,294

2,920

2,199

Information technology

1,616

1,525

1,244

Other operating expense

4,383

4,656

3,673

Total non-interest expense

21,139

19,953

16,646

3.2 Regression Models and Variable Definitions

Our first hypothesis aims to investigate the value relevance of IT expenditures. There

are a number of ways to define value relevance. For example, information is value-relevant

if it aids in the prediction of variables used in valuing the firm, or it correlates with market

measures of firm values. We operationalize value relevance as the ability of financial

information to explain market measures, consistent with prior research (Francis and

Schipper, 1999; Barth, Beaver, and Landsman, 1998; Chambers, Jennings, and Thompson,

1999). This definition assumes that market values reflect all public, value-relevant

information and that the usefulness of accounting data is in its ability to summarize this

information. Following numerous accounting literature, this study uses the model based on

the work of Ohlson (1995), wherein the market value of equity can be expressed as a

function of accounting data with relatively realistic assumptions.

7

MV

it

= b

0

+ b

1

BV

it

+ b

2

NI

it

+ b

3

IT

it

+ ε

it

,

Model 1.1

MV

it

= b

0

+ b

1

BV

it

+ b

2

BNI

it

+ b

3

IT

it

+ ε

it

,

Model 1.2

where:

MV

it

= Market value of bank

i

at the end of year

t

(Compustat Annual data

MKVALT

)

BV

it

= Book value of bank

i

at the end of year

t

, i.e., total assets less total liabilities

(Compustat Annual data

AT

- Compustat Annual data

LT

)

7 To check the robustness, we also use the market value at the end of first quarter of bank

i

as the dependent

variable to ensure that the annual financial data is available to the market. All results are unaffected by

such adjustment.