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1 Saudi Stock Market Historical View and Crisis Effect: Graphical and Statistical Analysis Abdulrahman A. Al-Twaijry Associate professor, Accounting Department, College of Business & Economics, Qassim University [email protected] , [email protected] Abstract During the past year of 2006, the Saudi stock market experienced a rigorous crash after the stock price index collapsed and lost 65% of its value. The aim of this study is to review the stock market from its formal initial in 1985 until 2006. Both graphical and statistical analysis were used to highlight the stock market behavior. The results illustrated that the sharp increase in the share prices started early 2003 and until they reached their highest level by end of February 2006. Shares of the banking sector were the most profitable stock with a significant positive return mean. The cross-sectional regression results revealed that EPS and DPS are not always good predictors of the changes in the stock price index, however, the daily number of trades, turnover, and values were found to be better forecasting the stock prices even during the market crisis Saudi Stock Market Historical View and Crisis Effect: Graphical and Statistical Analysis Introduction
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Page 1: Saudi Stock Market Historical View and Crisis Effect ...

1

Saudi Stock Market Historical View and Crisis Effect: Graphical and Statistical Analysis Abdulrahman A. Al-Twaijry

Associate professor, Accounting Department, College of Business & Economics,

Qassim University

[email protected], [email protected]

Abstract

During the past year of 2006, the Saudi stock market experienced a rigorous

crash after the stock price index collapsed and lost 65% of its value. The aim

of this study is to review the stock market from its formal initial in 1985 until

2006. Both graphical and statistical analysis were used to highlight the stock

market behavior. The results illustrated that the sharp increase in the share

prices started early 2003 and until they reached their highest level by end of

February 2006. Shares of the banking sector were the most profitable stock

with a significant positive return mean. The cross-sectional regression results

revealed that EPS and DPS are not always good predictors of the changes in

the stock price index, however, the daily number of trades, turnover, and

values were found to be better forecasting the stock prices even during the

market crisis

Saudi Stock Market Historical View and Crisis Effect: Graphical and Statistical Analysis

Introduction

Page 2: Saudi Stock Market Historical View and Crisis Effect ...

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During 2006, the Saudi Stock Market collapsed and the price index lost over

13000 points (65% of its top level). This disaster had an effect on large

number of the population and in several cases, death was recorded and in

some others people became ill, this had occurred for the first time in Saudi

stock history. Since there was no sudden event leading to this heavy decline

in the share prices, studies are now warranted to investigate this issue more

deeply.

Saudi Stock Market is recent and only developed as a recognized

market within the last five years although the first stock company in the

Kingdom of Saudi Arabia was established about 70 years ago. The number of

joint stock companies which existed in 1985 were approximately 50 which

then doubled in 1995 and reduced to be around 90 by the end of 2000. Now

(15-2-2007) the publicly held companies consist of 88 firms, representing

eight sectors: banking (10), manufacturing (34), cement (8), service (23),

electricity (1), telecom (2), insurance (1), and agricultural (9).

The stock market in Saudi Arabia only formally regulated in 1984 and

after on year (in 1985) the Saudi Shares Registration Company was

established (Al-Rumaihi, 1997, p.182). In 1990 an Electronic Securities

Information System was introduced by the Saudi Arabian Monetary Agency

[the Saudi Central Bank] to facilitate multi-location trading (Azzam, 1993).

In October 2001, the Saudi Stock Company (knowing as TADAWUL) was

initiated. Recently, TADAWUL introduced a modern system for facilitating

Page 3: Saudi Stock Market Historical View and Crisis Effect ...

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investment environment and control. During the last four years, many of the

stock market existing regulations were reviewed and upgraded and also

several new regulations were promulgated. The top of these new regulation is

"Capital Market Law", which was introduced 31/7/2003 for restructuring the

capital market in the country taking advantage of international stock market

standards. The reason for issuing this law was to protect the investors' rights

and to ensure the reliability and confidence in the Saudi Stock Market.1

Although the number of Saudi Joint Stock Companies is small, they represent

about 60% of the invested capital in the country, and even though the Saudi

Arabian stock market is relatively new, it is now the largest market in the

entire Arab World. Initially, only Saudi (and GCC) nationals could own

shares, but this restriction was relaxed in 1997 and relaxed again with some

constraints in 2006.

In this study, however, the historical development of the Saudi stock

market will be reviewed. Both graphical and statistical analysis are employed

to closely investigate the behavior of the of the market with more focus on the

recent dramatic changes.

Literature Review

Most researches on stock market use the past to predict future. For example,

Damir (2005) analyzed the US stock market during the past 25 years, from

1980 to 2005, to predict the future of stock market behavior. He found that

Page 4: Saudi Stock Market Historical View and Crisis Effect ...

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the political situations, volatility in international trade, and foreign exchanges

have significant negative impact on the US stock market prices. Similarly,

Fair (2002), and Liu (2006) looked at the historical stock market behavior in

the US during 1980s and 1990s. Liu focused on daily data while Fair used

short time intervals data. Siegel and Schwartz (2006) went back further to the

original of S&P 500 index which was launched in 1957.

The historical stock data were used by the great majority of stock

market literature for studying the relationship between share price or return

and share performance. Campbell and Shiller (1988), Bulkley and Tonks

(1989), Goetzmann and Jorion (1995), Chiang et al. (1997), and more

recently, Batchelor and Orakcioglu (2003), Kanas (2005), Lettau and

Ludvigson (2005), Lee (2006) are examples of these studies. These research

examined either gross indexes (aggregate data) or individual markets

(industries or companies) utilizing in most cases time-series (short or long

horizon or both) and/or cross-sectional data from developed nations. On the

other hand, some studies such as: Crouch (1970), Rogalski (1978), Smirlock

and Starks (1985), Hiemstra and Jones (1995), Silvapulle and Choi (1999)

Lee and Rui (2000), Llorente et al. (2002), and Groenewold (2004) focused

on the relationship between share prices (or returns) and the volume of trades.

Positive relations, negative relation, and weak relations were all reported.

Some researchers; for example: Ray and Tsay (2000), Areal and Taylor

(2002), and Cochran and Mansur (2002); focused on the stock market

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volatility. Cochran and Mansur used monthly basis and various five-year

intervals from January 1928 through June 2001 and found that stock volatility

is much larger in recent time (January 1998-June 2001).

The great majority of stock market literature have investigated markets

in developed countries. The outcomes of these studies may not be applicable

for developing stock market since these later markets have their unique

characters. Thus, the purpose of this study is to bridge the gap existing in the

stock market literature.

Saudi Stock Market Historical View

The earliest data about Saudi Stock Market can be traced to 1985. 28th of

February 1985 was the first day of the stock index which started with 1000

points. Each of the six sectors existing by that time received 1000 points as

well. Graph (1) explains the behavior of the general stock price index from its

birth until end of 1990.

Graph (1) Index weekly behavior from its birth up to end of 1990

0

200

400

600

800

1000

1200

1400

28/02/198509/05/198525/07/198510/10/198519/12/1985

27/02/198608/05/198624/07/198609/10/198618/12/198626/02/198707/05/198723/07/198708/10/198717/12/1987

25/02/198805/05/198828/07/198806/10/198815/12/198823/02/198904/05/198913/07/198921/09/198930/11/1989

08/02/199019/04/199028/06/199012/09/199021/11/1990

Page 6: Saudi Stock Market Historical View and Crisis Effect ...

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From its origin, the index was going down until it reached its lowest level

630.41 (decreased by 37%) during the month of September 1986 and then

returned to grow until it reached its highest point 1182.37 (increased by 88%

from its lowest level) during the month of June 1990, then it went down

again to end very near to where it stated. Graph (2) shows the second stage

(next 5 years) of the index.

Graph (2) Index weekly behavior from 1991 until 1995

0

500

1000

1500

2000

2500

02/01/1991

24/04/1991

14/08/1991

27/11/1991

11/03/1992

08/07/1992

21/10/1992

03/02/1993

26/05/1993

15/09/1993

29/12/1993

20/04/1994

11/08/1994

24/11/1994

16/03/1995

06/07/1995

19/10/1995

As the above graph depicts, the index started again from nearly 1000 points

and kept increasing sharply until it reached its peak 2298.89 (increased by

230%) during the month of April 1992. After that it went down to near its

root and by the end of 1995 (December 28), the index closed at 1370.82

points. The third stage of the index history, which is the second half of the

1990s, is illustrated in Graph (3).

Graph (3) Index weekly behavior from 1996 until 2000

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0

500

1000

1500

2000

2500

3000

04/01/1996

28/03/1996

20/06/1996

05/09/1996

21/11/1996

06/02/1997

01/05/1997

17/07/1997

02/10/1997

18/12/1997

05/03/1998

28/05/1998

13/08/1998

29/10/1998

14/01/1999

15/04/1999

01/07/1999

16/09/1999

02/12/1999

24/02/2000

11/05/2000

27/07/2000

12/10/2000

28/12/2000

During the last 5 years of the 20th century, where most of the well known

international stock market was booming to their highest points (Damir 2005,

Shiller 2005), the Saudi stock market index was ranging between 1250 and

2350 points. The behavior of the index line, as shown above, seems not to be

affected by the international stock market escalation. Graph (4) however,

shows the trend of the index during the next five years (4th stage).

This era (2001-2005) can be, as it is clear in the graph, divided into two

equal periods. In the first one, the index was almost stable, however, in the

next half, stock market jumped up. The prices of the shares doubled many

times during this period. The share index started at about 2000 and end up to

about 17000 points (8.5 times) with no major breakdowns.

Graph (4) Index weekly behavior from 2001 until 2005

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0

2000

4000

6000

8000

10000

12000

14000

16000

18000

04/01/2001

22/03/2001

31/05/2001

09/08/2001

18/10/2001

27/12/2001

07/03/2002

16/05/2002

25/07/2002

03/10/2002

12/12/2002

20/02/2003

01/05/2003

10/07/2003

18/09/2003

04/12/2003

19/02/2004

29/04/2004

08/07/2004

16/09/2004

02/12/2004

17/02/2005

28/04/2005

07/07/2005

15/09/2005

24/11/2005

The only possible reason for this boom is the large increase in the demand

side since a huge number of people started investing in the stock market either

directly or through various types of portfolios provided mainly by banks.

Graph (5) illustrates the index movement during the last 7 moths (1-1-2006 to

31-7-2006)

Graph (5) Index daily behavior from 1st of January to 1st of August 2006

0

5000

10000

15000

20000

25000

01/0

1/20

06

16/0

1/20

06

24/0

1/20

06

01/0

2/20

06

09/0

2/20

06

18/0

2/20

06

26/0

2/20

06

06/0

3/20

06

14/0

3/20

06

22/0

3/20

06

01/0

4/20

06

10/0

4/20

06

19/0

4/20

06

29/0

4/20

06

07/0

5/20

06

15/0

5/20

06

23/0

5/20

06

31/0

5/20

06

08/0

6/20

06

18/0

6/20

06

27/0

6/20

06

08/0

7/20

06

17/0

7/20

06

26/0

7/20

06

Until the end of February, the index kept growing to reach its highest peak

ever (20624.84 points). The last week of February 2006 (exactly the days

from 21 to 25) is the only week in the entire history of Saudi stock market

where the stock price index had been staying above 20000 points. Saudi

Page 9: Saudi Stock Market Historical View and Crisis Effect ...

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media kept stressing on this extraordinary event in the stock market and

probably participated on creating fear in the investor' mind. As depicted in

the above graph, the stock market price index starts falling after reaching its

boom (over 20000 points) to come down to 15000 points (25%) within three

weeks, then lasted almost above the 15000 points for about one month, then

started decreasing for the second time until it was very close to the 10000

points within less than a month. In total the index lost 50% of its highest level

during two months and a half. This crash was the worst in the entire history

of Saudi stock market and the consequences on thousands of investors was

severe.

By looking to the gross stock market return during the last 25 years, we can

understand when the risk started to exist. Graph(6) exhibits the index return

volatility from its birth until recent.

Graph (6) Index weekly return behavior from 1985 until 2006

INDEX(R)

-3000

-2500

-2000

-1500

-1000

-500

0

500

1000

1500

07/03/1985

07/03/1986

07/03/1987

07/03/1988

07/03/1989

07/03/1990

07/03/1991

07/03/1992

07/03/1993

07/03/1994

07/03/1995

07/03/1996

07/03/1997

07/03/1998

07/03/1999

07/03/2000

07/03/2001

07/03/2002

07/03/2003

07/03/2004

07/03/2005

07/03/2006

The above return graph shows that the return volatility was low and near the

zero throughout the time from the start of the index (1985) until the year 2003

Page 10: Saudi Stock Market Historical View and Crisis Effect ...

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Return

-1500

-1000

-500

0

500

1000

1500

2000

01/01/2006

07/01/2006

19/01/2006

25/01/2006

31/01/2006

06/02/2006

12/02/2006

18/02/2006

23/02/2006

01/03/2006

07/03/2006

13/03/2006

19/03/2006

25/03/2006

01/04/2006

08/04/2006

15/04/2006

22/04/2006

27/04/2006

03/05/2006

09/05/2006

15/05/2006

21/05/2006

27/05/2006

01/06/2006

07/06/2006

13/06/2006

20/06/2006

27/06/2006

04/07/2006

11/07/2006

18/07/2006

25/07/2006

01/08/2006

then the volatility began to increase and this year (2006) received the largest

volatility ever. By looking closer to the stock market daily return volatility

during 2006, as plotted in graph (7), it can be seen that the gross return went

up to 1500 points (positive) and down to 1000 points (negative) with total

difference between these two levels 2500 points which reflects the high

existing risk in the stock market.

Graph (7) Index daily return behavior from 1-1 to 1-8 year 2006

Since the Saudi society was classified according to Hofstede's (1991)

diminutions as risk averse, stock holders may not like the occurring situation

and probably many will draw back from the market. The price daily volatility

(high-low) for the year 2006 is shown in graph (8).

Graph (8) Index daily volatility behavior from 1-1 to 1-8 year 2006

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Daily volatility

0

200

400

600

800

1000

1200

1400

1600

1800

01/0

1/20

06

07/0

1/20

06

19/0

1/20

06

25/0

1/20

06

31/0

1/20

06

06/0

2/20

06

12/0

2/20

06

18/0

2/20

06

23/0

2/20

06

01/0

3/20

06

07/0

3/20

06

13/0

3/20

06

19/0

3/20

06

25/0

3/20

06

01/0

4/20

06

08/0

4/20

06

15/0

4/20

06

22/0

4/20

06

27/0

4/20

06

03/0

5/20

06

09/0

5/20

06

15/0

5/20

06

21/0

5/20

06

27/0

5/20

06

01/0

6/20

06

07/0

6/20

06

13/0

6/20

06

20/0

6/20

06

27/0

6/20

06

04/0

7/20

06

11/0

7/20

06

18/0

7/20

06

25/0

7/20

06

01/0

8/20

06

Graphs (9, 10, 11) below depict the trend of the number of daily trades, the

daily total turnover (value), and the daily total volume.

Graph (9) Daily number of trades from 1-1 to 1-8 year 2006

# of Trades

0

100000

200000

300000

400000

500000

600000

700000

800000

01/0

1/20

06

17/0

1/20

06

26/0

1/20

06

05/0

2/20

06

14/0

2/20

06

23/0

2/20

06

05/0

3/20

06

14/0

3/20

06

23/0

3/20

06

03/0

4/20

06

15/0

4/20

06

25/0

4/20

06

04/0

5/20

06

14/0

5/20

06

23/0

5/20

06

01/0

6/20

06

11/0

6/20

06

21/0

6/20

06

03/0

7/20

06

15/0

7/20

06

25/0

7/20

06

Graph (10) Daily total traded shares value from 1-1 to 1-8 year 2006

Total Turnover

05000000000

100000000001500000000020000000000250000000003000000000035000000000400000000004500000000050000000000

01/0

1/20

06

16/0

1/20

06

24/0

1/20

06

01/0

2/20

06

09/0

2/20

06

18/0

2/20

06

26/0

2/20

06

06/0

3/20

06

14/0

3/20

06

22/0

3/20

06

01/0

4/20

06

10/0

4/20

06

19/0

4/20

06

29/0

4/20

06

07/0

5/20

06

15/0

5/20

06

23/0

5/20

06

31/0

5/20

06

08/0

6/20

06

18/0

6/20

06

27/0

6/20

06

08/0

7/20

06

17/0

7/20

06

26/0

7/20

06

Page 12: Saudi Stock Market Historical View and Crisis Effect ...

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Graph (11) Daily total traded share volume from 1-1 to 1-8 year 2006

Total Volume

0

100000000

200000000

300000000

400000000

500000000

600000000

01/0

1/20

06

16/0

1/20

06

24/0

1/20

06

01/0

2/20

06

09/0

2/20

06

18/0

2/20

06

26/0

2/20

06

06/0

3/20

06

14/0

3/20

06

22/0

3/20

06

01/0

4/20

06

10/0

4/20

06

19/0

4/20

06

29/0

4/20

06

07/0

5/20

06

15/0

5/20

06

23/0

5/20

06

31/0

5/20

06

08/0

6/20

06

18/0

6/20

06

27/0

6/20

06

08/0

7/20

06

17/0

7/20

06

26/0

7/20

06

Before the crash started, the number of trades and total value (turnover) were

generally drifting up, but total volume was stable below 100 million. During

the crash, the daily number of trades and values slowed down and after the

crash total volume starts drifting up, whilst the number of daily trade and total

turnover remain slow for a while then went up with cautious.

Individual markets

Saudi stock market comprise eight individual sectors: banking, manufacturing,

cement, service, electricity, telecom, insurance, and agricultural. All these

sectors, except telecom and insurance were existing when the market index

was set forth early 1985 and each sector indexed with 1000 point bases.3

Telecom sector was added to the market index by end of January 2003 and

also started with 1000 point basis whilst insurance sector was added at the

begging of March 2005. Graph (12) plots the weekly index of each of the

eight sectors from 1985 to 2006.

Graph (12) Each sector price week index from 1985 to 2006

Page 13: Saudi Stock Market Historical View and Crisis Effect ...

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0

10000

20000

30000

40000

50000

60000

26/0

1/1994

02/0

5/1994

26/0

7/1994

09/1

0/1994

22/1

2/1994

13/0

3/1995

04/0

6/1995

16/0

8/1995

30/1

0/1995

11/0

1/1996

02/0

4/1996

23/0

6/1996

04/0

9/1996

17/1

1/1996

29/0

1/1997

28/0

4/1997

12/0

7/1997

24/0

9/1997

07/1

2/1997

25/0

2/1998

18/0

5/1998

30/0

7/1998

12/1

0/1998

24/1

2/1998

16/0

3/1999

07/0

6/1999

19/0

8/1999

01/1

1/1999

26/0

1/2000

16/0

4/2000

28/0

6/2000

10/0

9/2000

22/1

1/2000

12/0

2/2001

03/0

5/2001

16/0

7/2001

27/0

9/2001

11/1

2/2001

07/0

3/2002

20/0

5/2002

01/0

8/2002

14/1

0/2002

01/0

1/2003

24/0

3/2003

05/0

6/2003

18/0

8/2003

30/1

0/2003

19/0

1/2004

10/0

4/2004

22/0

6/2004

04/0

9/2004

24/1

1/2004

14/0

2/2005

28/0

4/2005

11/0

7/2005

22/0

9/2005

13/1

2/2005

02/0

3/2006

20/0

5/2006

All indexes remained under 10000 points until the end of 2003 when they

stated rising up sharply especially banking and manufacturing sectors. 23rd of

February 2006 was the day all eight sectors indexes were in their highest level

ever. Table (1) shows these top points and the percentage increases from the

original basis.

Table (1) The highest points achieved in all eight sectors (23-2-2006) and the total increase from basis

Both banking and manufacturing industries jumped up largely (nearly 50

times) from their original points, whilst insurance was the lowest sector to

increase, followed by electricity and telecom then service. Graph (13)

exhibits all sectors' stock weekly returns during the last 26 years.

Graph (13) all sectors stock weekly returns during the last 26 years.

the Sector Banking Manu. Cement Services Electricity Telecom Insurance Agric.

Top point 47723.92 48861.95 13179.91 8464.91 5449.09 6952.11 2829.71 13343.45

Times of increases from the original basis

47.7239 48.862 13.18 8.46491 5.44909 6.95211 2.82971 13.34345

Page 14: Saudi Stock Market Historical View and Crisis Effect ...

14

-20000

-15000

-10000

-5000

0

5000

10000

07/03/1985

28/11/1985

14/08/1986

30/04/1987

21/01/1988

13/10/1988

22/06/1989

01/03/1990

14/11/1990

07/08/1991

22/04/1992

06/01/1993

29/09/1993

23/06/1994

09/03/1995

23/11/1995

15/08/1996

01/05/1997

08/01/1998

24/09/1998

17/06/1999

02/03/2000

09/11/2000

26/07/2001

04/04/2002

12/12/2002

21/08/2003

13/05/2004

03/02/2005

13/10/2005

BANKS(R) INDUSTRIAL(R) CEMENT(R) SERVICES(R)ELECTRICITY(R) Telecom(R) Insurance(R) AGRICULTURE(R)

The return of all indexes was very close to zero until year 2004 when its

volatility started getting larger. To look closer to the behavior of the sectors'

returns, we used data from the last six years (2001 to 2006), which are showed

in Graph (14).

Graph (14) All sectors' stock weekly returns during the last 6 years (1-2001 to 2006)

-10000

-8000

-6000

-4000

-2000

0

2000

4000

6000

04/01/2001

15/03/2001

17/05/2001

19/07/2001

20/09/2001

22/11/2001

24/01/2002

28/03/2002

30/05/2002

01/08/2002

03/10/2002

05/12/2002

06/02/2003

10/04/2003

12/06/2003

14/08/2003

16/10/2003

25/12/2003

04/03/2004

06/05/2004

08/07/2004

09/09/2004

11/11/2004

20/01/2005

31/03/2005

02/06/2005

04/08/2005

06/10/2005

08/12/2005

09/02/2006

13/04/2006

BANKS(R) INDUSTRIAL(R) CEMENT(R) SERVICES(R)

ELECTRICITY(R) Telecom(R) Insurance(R) AGRICULTURE(R)

The above graph explains that the returns were almost stable until 2004 when

the volatility getting higher and mostly moving above zero but in 2006 it

reversed and was mostly moving under zero. To find out more about the

recent situation of the eight sectors included in the general index, we have

calculated the means of the daily trades during the month of July 2006. Graph

(15) compare the means of close index prices of these sectors.

Page 15: Saudi Stock Market Historical View and Crisis Effect ...

15

Graph (15) Means of close index prices of all sectors (July 2006)

0

5000

10000

15000

20000

25000

30000

35000

Bank

ing

Manufac

turin

g

Cemen

t

Serv

ice

Elec

tricit

y

Teleco

m

Insu

ranc

e

Agric

ultura

l

The mean price of the banking sector is the highest (over 30000 points)

followed by manufacturing. The mean of close price indexes are far smaller

in the other sectors where electricity and insurance were the lowest. Graph

(16) compares these sectors in terms of total volume of the traded stock during

July (the mean).

Graph (16) % of total volume of all sectors (means of July 2006)

Page 16: Saudi Stock Market Historical View and Crisis Effect ...

16

Banking2%

Manufacturing36%

Cement2%

Service36%

Electricity10%

Telecom2%

Insurance0%

Agricultural12%

As depicted in the above graph, service and manufacturing sectors each

captures 36% (both captures 72%) of the trade volume in the Saudi stock

market. Cement, banking, and telecom each represents only 2% (all 6%) of

the total volume. In terms of total turnover (value), graph (17) compares the

means of the sectors. Manufacturing sector received the highest daily

turnover which exceeded, an average, 8 billion Saudi Riyals. The second

largest sector in terms of value is the service with, on average, about 5.6

billion SR daily turnover.

Graph (17) Means of total volume of all sectors (July 2006)

Page 17: Saudi Stock Market Historical View and Crisis Effect ...

17

0

1000000000

2000000000

3000000000

4000000000

5000000000

6000000000

7000000000

8000000000

Bank

ing

Manuf

actu

ring

Cem

ent

Service

Elec

tricit

y

Teleco

m

Insu

ranc

eAg

ricultu

ral

Agricultural comes the third and all the other sectors' daily mean turnover is

less than one billion SR. Graph (18) compares these sectors in terms of the

number of daily trades (mean of the month).

Graph (18) % of the number of daily trades of all sectors (means of July 2006)

Service34%

Telecom2%

Cement3%

Agricultural14%

Manufacturing40%

Electricity3%

Insurance0%

Banking4%

Manufacturing sector again received the largest number of daily trades (40%

of the whole market). Service sector comes next capturing 34% of the total

number of daily trades, while agricultural sector acquires 14%. The

Page 18: Saudi Stock Market Historical View and Crisis Effect ...

18

remaining sectors altogether do not represent more than 12% of the total

number of daily trades.

Stock performance and stock prices

The link between stock performance (earning and dividends) and stock price

(and return) should be strong. The previous studies confirmed, using data

from Western stock market, that stock price (and return) is strongly correlated

with the stock performance. However, in Saudi market the case may not be

the same since people are not educated enough yet about how, when, and

where to invest their money in the stock market. People's decisions on this

mater are mostly directed by factors different from the company performance.

These factors include friends and family influence, company and government

announcements, and stock price past behavior.

Table (2) presents the companies performance during the past three

years (2003, 2004, 2005). By comparing these figures, we notice that the

mean of earning per share (EPS) was SR9 in 2003, SR12.19 in 2004 and

SR14.64 in 2005 and similarly the standards deviation increased from 11.68 in

2003 to 16.46 in 2005.

Table (2) shares performance during 2003, 2004, and 2005 Year N Minimum Maximum Mean Std. Deviation

2003 69 -11.49 45.29 9.004058 11.6809273 2004 70 -14.53 65.24 12.18629 14.7141934 Earning

Per Share 2005 73 -11.94 62.59 14.64055 16.46109993

2003 69 0 36.15 6.721884 8.405158828 2004 70 0 36.65 7.557571 8.899705977

Dividend Per Share

2005 73 0 31 6.343288 8.390891234

Page 19: Saudi Stock Market Historical View and Crisis Effect ...

19

2003 69 0 221.66 25.86928 33.53536642 2004 70 0 1000 80.27586 174.2533933 Price/Earning 2005 73 0 1000 101.5044 200.2505196

Year 2006 was excluded because its data was not comparable due to the

dramatic changes introduced to the market, such as splitting all shares (one to

five).

On the other hand, the mean of dividends per share (DPS) was SR6.72

in 2003, SR7.56 in 2004, and SR 6.34 in 2005. The mean of price/earning

25.89 times in 2003 and heavily increased to 80.28 times in 2004 and

increased again to be more than 100 times in 2005. This clearly shows how

the prices were highly overestimated.

By comparing stock market activities during these three years (in daily

basis) we find that, as presented in table (3), the mean of number of trades was

489.87 in 2003 and increased by more than three times in 2004, and it

decreased to be slightly over 1000 in 2005, and increased again by nearly four

times in 5-2-2006.2 Within two years (2003-2005), the means of trade

volume and value increased by 2.3 times and 3.5 times, respectively.

Table (3) Daily stock trade comparison for three years: 2003, 2004, and 2005

Year N Minimum Maximum Mean Std. Deviation 2003 69 1 4385 489.8696 774.4801846 2004 70 16 12922 507.114 2287.474999 Trades 2005 73 2 9148 006.753 2097.283135

2003 69 100 7066585 533542 1215619.13 2004 70 2254 7119353 692747.2 1317172.025 Volume2005 73 16 4581600 37893.9 548274.0934

2003 69 16000 8.52E+08 9402871 137193022.2 Value 2004 73 18416 9.8E+08 2963232 175318705.4

Page 20: Saudi Stock Market Historical View and Crisis Effect ...

20

2005 70 1693993 2.65E+09 .11E+08 464378769.9

To investigate the impact of the crisis on the efficient market hypothesis, we

examine the correlation between stock prices (dependent variable) and stock

earnings and dividends (explanatory variables), as shown in the following

mode:4

P = a + b1 EPS + b2 DPS + e

To estimated the above OLS model, we used cross-sectional data for three

years 2004, 2005, 2006. Since the companies financial report take an average

2-3 months to be published to the public, we had to choose the dates after

financial reports were released to measure the impact of disclosed information

on the behavior of stock prices. Table (4) exhibits the regression analysis of

the above estimation:

Table (4) Ordinary Least Square estimation regression results of the first model

2004 2005 2006 (Before the crisis)

2006 (During the crisis)

2006 (After the crisis)

Constant (a) 108.506 157.402 666.213 343.894 74.875 (.000) (.000) (.000) (.000) (.000) EPS (b1) 6.764 21.776 22.377 14.917 1.345 (.005) (.000) (.009) (.010) (.292) DPS (b2) 9.508 -5.398 -1.769 8.063 .764 (.004) (.409) (.913) (.465) (.759) R2 (adjusted) 0.80 0.62 0.20 0.29 0.04 (.000) (.000) (.000) (.000) (.087) Figures in parentheses reflect the significance.

The results exhibited in table 4 show that the constant was slightly over 100 in

2004 and increased by about 50% in 2005 and doubled by more than four

times during 2006 before the crisis and reduced to nearly half during the crisis

and reduced again to be 75 after the crisis. All these constants are significant

Page 21: Saudi Stock Market Historical View and Crisis Effect ...

21

at the 1% level. EPS had a strong (p < .05) positive effect on the share prices

in years 2004, 2005, and 2006 before and during the crisis but after the crisis,

the EPS became insignificant. The Coefficient of EPS was 6.8 in year 2004

and doubled three times in 2005 and was nearly the same in 2006 before the

beginning of the crisis and declined to reach 1.34 after the crisis ended. DPS

has only significant impact on the share prices in 2004 but after that it became

insignificant and the coefficient even negative in 2005 and 2006 before the

crisis. Adjusted R2, which measure the quality of the model, was high (0.80)

in year 2004 and reduced to 0.62 in year 2005 and reduced further to be as

low as 0.20 in year 2006 before the crisis and 0.04 after the crisis. From this

we may infer that year 2005 witnessed flow in of huge speculators to the stock

market since speculators are not very much concern about future long-run

share performance.

Because EPS and DPS , as found above, might not be always good

predictors of the changes in the share prices, other variables might be better

for forecasting future prices. The daily number of trades, volume, and value

might have good correlation with stock prices. We exam this hypothesis via

regressing stock prices against these variables as in the following model:5

P = b1 log(Trades) + b2 log(Volume) + b3 log(Value) + e

The regression results are revealed in table (5).

Table (5) Ordinary Least Square estimation regression results of the second model

2004 2005 2006 (Before the crisis)

2006 (During the crisis)

2006 (After the crisis)

Page 22: Saudi Stock Market Historical View and Crisis Effect ...

22

logTrades (b1) 3.062 4.211 3.218 2.629 3.298 (.000) (.000) (.000) (.000) (.000) logVolume (b2) -12.488 -14.301 -11.502 -6.025 -12.158 (.000) (.000) (.000) (.000) (.000) logValue (b3) 10.233 10.844 9.065 4.181 10.271 (.000) (.000) (.000) (.000) (.000) R2 (adjusted) 0.90 0.91 0.87 0.78 0.83 (.000) (.000) (.000) (.000) (.000)

Note that constant was excluded from this model because we assume that the regression line goes through the zero point as long as the explanatory variables equal to zero. Coefficients were standardized. Figure in parentheses reflects the significance.

The relationship between stock prices and number of daily trades is positively

significant. The standardized coefficient of the natural logarithm (logTrades)

was 3.06 in year 4 and increased by 40% in year 2005. In 2006 before the

crisis, it was 3.22 and reduced by about 20% during the crisis and after the

crisis return to near its value before the crisis. The effect of the daily stock

volume on the share prices is negative and significant (p = .000). The biggest

impact was in 2005 (standardized coefficient of logVolume = 14.30) and

reduced to its lowest level (logVolume = 6.03) during the 2006 crisis. In

contrast to the volume effect on stock prices, the value of the daily traded

shares has positive significant relationship with stock prices. The strongest

effect (logValue = 10.84) was in 2005 however during the crisis the effect

reduced by more than 50% (4.18) and returned back to be above 10 after the

crisis. The R adjusted square is relatively significantly high (R2 > 0.75) in all

situation. This properly means that in a developing speculating market such

as Saudi stock market, the daily disclosed data (No. of trades, turnover, and

value) can be better predictors of changes in the stock prices.

Return hypothesis

Page 23: Saudi Stock Market Historical View and Crisis Effect ...

23

In the long run, the return of stock share should not be different from zero.

Graphs (19), (20) and (21) exhibit this fact. The return of the share index was

fluctuating up and down with the zero line.

Graph (19) Stock market return between 1985 and 2006

ALL INDEX(R)

-3000.00

-2500.00

-2000.00

-1500.00

-1000.00-500.00

0.00

500.00

1000.00

1500.00

07

/03

/19

85

07

/03

/19

86

07

/03

/19

87

07

/03

/19

88

07

/03

/19

89

07

/03

/19

90

07

/03

/19

91

07

/03

/19

92

07

/03

/19

93

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/03

/19

94

07

/03

/19

95

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/03

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96

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/03

/19

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/03

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98

07

/03

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07

/03

/20

00

07

/03

/20

01

07

/03

/20

02

07

/03

/20

03

07

/03

/20

04

07

/03

/20

05

07

/03

/20

06

Graph (20) Stock market return for all sectors between 1985 and 2006

-20000.00

-15000.00

-10000.00

-5000.00

0.00

5000.00

10000.00

07/0

3/19

85

07/0

3/19

86

07/0

3/19

87

07/0

3/19

88

07/0

3/19

89

07/0

3/19

90

07/0

3/19

91

07/0

3/19

92

07/0

3/19

93

07/0

3/19

94

07/0

3/19

95

07/0

3/19

96

07/0

3/19

97

07/0

3/19

98

07/0

3/19

99

07/0

3/20

00

07/0

3/20

01

07/0

3/20

02

07/0

3/20

03

07/0

3/20

04

07/0

3/20

05

07/0

3/20

06BANKS(R) INDUSTRIAL(R) CEMENT(R) SERVICES(R)ELECTRICITY(R) Telecom(R) Insurance(R) AGRICULTURE(R)

Graph (21) Stock market return for all sectors between 2001 and 2006

-10000

-8000

-6000

-4000

-2000

0

2000

4000

6000

04/0

1/20

01

04/0

4/20

01

04/0

7/20

01

04/1

0/20

01

04/0

1/20

02

04/0

4/20

02

04/0

7/20

02

04/1

0/20

02

04/0

1/20

03

04/0

4/20

03

04/0

7/20

03

04/1

0/20

03

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1/20

04

04/0

4/20

04

04/0

7/20

04

04/1

0/20

04

04/0

1/20

05

04/0

4/20

05

04/0

7/20

05

04/1

0/20

05

04/0

1/20

06

04/0

4/20

06

BANKS(R) INDUSTRIAL(R) CEMENT(R) SERVICES(R)

ELECTRICITY(R) Telecom(R) Insurance(R) AGRICULTURE(R)

As it is clear in these graphs, the volatility of stock returns (and prices) was

small until the last three years (2004-2006) when the indexes (General and

Page 24: Saudi Stock Market Historical View and Crisis Effect ...

24

industrial) started shifting up and down. Since volatility means risk

(Premaratne and Bala 2004), the Saudi stock market is becoming more riskier

than before and because in Saudi society, as measured by Hofstede (1980)'s

dimensions, uncertainty avoidance is higher and most investors in stock

market are risk averse the problem is expected to become worse.

To statistically test for the hypothesis that the mean of the returns for

the whole market and individual industries does not different from zero, we

use both weekly (from March 1985 to May 2006 containing 1077 weekly

observations) and daily (from February 1994 to June 2006 containing 3676

daily observations) data for gross and industrial individual returns. Tables (6)

and (7) confirm that the gross return and individual industrial returns were not

significantly (p > .10) different from zero except in the banking sector where

the return is significantly higher than zero at the 5% when using weekly data

and at the 10% when using daily data.

Table (6) Testing for long-run return equality of zero (weekly data) One-Sample Statistics Test Value = 0 95% Confidence Interv

the Difference

The Index N Mean Std. Deviation

Std. Mean t df Sig.

tailed) Lower Upper

ALL INDEX(R) 1077 8.714 202.321 6.165 1.414 1076 0.158 -3.382 20.811 Banks(r) 1077 27.371 447.004 13.621 2.009 1076 0.045 0.644 54.097 Industrial(r) 1077 18.706 583.016 17.765 1.053 1076 0.293 -16.153 53.564 Cement(r) 1077 5.310 163.798 4.991 1.064 1076 0.288 -4.483 15.104 Services(r) 1077 1.977 131.062 3.994 0.495 1076 0.621 -5.860 9.813 Electricity(r) 1077 0.655 102.344 3.119 0.210 1076 0.834 -5.464 6.775 Telecom(r) 170 17.287 212.642 16.309 1.060 169 0.291 -14.908 49.483 Insurance(r) 66 16.142 164.722 20.276 0.796 65 0.429 -24.352 56.636 Agriculture(r) 1077 3.274 190.360 5.801 0.564 1076 0.573 -8.108 14.656

Page 25: Saudi Stock Market Historical View and Crisis Effect ...

25

As shown in table 6, Banks' stocks achieved the best performance (average >

27 SR) followed by Industrial sector (18.61SR) and Telecom (17.29SR) whilst

Electricity and Service sectors received the lowest return (< 2 SR). Industrial

stocks are the most riskier return followed by Banking sector whereas

Electricity stocks were the lowest riskier return.

Table (7) Testing for long-run return equality of zero (daily data) One-Sample Statistics Test Value = 0 95% Confidence Interv

the Difference

The Index N Mean Std. Deviation

Std. EMean t df Sig.

tailed) Lower Upper

ALL INDEX(R) 3676 2.800 110.280 1.819 1.540 3675 0.124 -0.766 6.367 Banks(r) 3676 7.388 269.375 4.443 1.663 3675 0.096 -1.323 16.099 Industrial(r) 3674 6.759 332.030 5.478 1.234 3673 0.217 -3.981 17.499 Cement(r) 3676 1.647 145.078 2.393 0.688 3675 0.491 -3.044 6.338 Services(r) 3676 0.744 48.294 0.797 0.934 3675 0.350 -0.818 2.306 Electricity(r) 3674 0.488 42.298 0.698 0.700 3673 0.484 -0.880 1.856 Telecom(R) 1011 3.217 107.683 3.387 0.950 1010 0.342 -3.429 9.862 Insurance(R) 402 3.094 67.770 3.380 0.915 401 0.361 -3.551 9.738 Agriculture(r) 3676 1.415 84.307 1.391 1.018 3675 0.309 -1.311 4.142

By comparing the figures in tables 6 and 7, we notice that the means of stock

returns (gross and individual) are much smaller in the daily return than in the

weekly return and this might means, for the speculators point view, that

keeping the share for a week is better off, but on the other hand, it is riskier

(measured by Std. Deviation).

Summary and Conclusion

Saudi stock market is relatively recent sine stock price index can be only

traced back to 1985 which means that the age of the market is about 22 years.

The number of joint stock companies less than 100 companies representing

Page 26: Saudi Stock Market Historical View and Crisis Effect ...

26

eight sectors. During 2006, Saudi stock market witnessed severe collapse

since the index lost about 65% of its highest level.

The stock price index started in 1985 with 1000 points and lasted with

no much changes for the following 10 years (In 1995, the index was below

1500 points). Also the index was reasonable for the following seven years (in

2002, the index was below 3000 points). The fast boom stated in the

beginning of year 2003 and the stock price index kept sharply growing

without major breakdowns to reach its top level (over 20600 points) by the

end of February 2006. After that the direction of the index changed to down

to reach 10000 points by May 2006 and then staid over 10000 point for about

five months. By the end of year 2006, the index went down again to below

7000 points and remained below 8000 point during the beginning of 2007.

The stock market index return was almost stable from its initial (1985)

until year 2003 since it started fluctuating to reach its highest variation in year

2006, in practically between February and May. However, the general index

weekly and daily return was not significantly different from zero. The average

of EPS was 9 SR in year 2003 and increased to 12.19 and 14.64 in years 2004

and 2005, respectively. Nevertheless, the mean of DPS in these three years

has not changed much (ranging between 6.34 and 7.56). The mean of

price/earning ratio was 25.87 in year 2003 and jumped to be 80.28 in year

2004 and 101.50 in year 2005 and this may suggest that the heavy increase in

the share prices was not adjusted by increase in earnings which is a sign of

Page 27: Saudi Stock Market Historical View and Crisis Effect ...

27

danger. The mean of the number of daily trades doubled thrice between 2003

and 2004, while the mean of the volume increased by less than 30% and the

mean of the value of daily traded shares increased from 69.4 millions in 2003

to 211 million in year 2005.

Although each individual market's (banking, manufacturing, cement,

service, electricity, telecom, insurance, and agricultural) index started with

1000 points, they vary in their trends. Both manufacturing and banking

sectors' price indexes increased dramatically to be more than 47 times of its

origin during the month of February 2006 (top levels), followed by

agricultural and cement sectors (> 13 times) whilst the remaining sectors'

indexes total increase were less than 10 times. In terms of the number and

volume of stock daily trades, both manufacturing and service achieved the

largest turnover. Banking sector achieved the highest individual index return

during the last 25 years (daily mean = 7.39 and weekly mean = 27.37).

The cross-sectional regression analysis suggested that EPS and DPS

were good predictors during 2004 (before the influence the speculators on the

market) but less powerful in 2005 and even worse in 2006. On the other

hand, daily number of trades, turnover, and values can help forecasting the

stock prices even during the market crises.

The Saudi stock market was performing sensibly from its formal initial

(1985) until the beginning of year 2003 in which the Saudi Telecom company

was converted into a joint stock company and the conversion was

Page 28: Saudi Stock Market Historical View and Crisis Effect ...

28

accompanied by huge media acknowledgment which encouraged people, who

were not previously aware of stock market, to invest in the new joint stock

company. During the following two years (2004 and 2005) several companies

were added to the stock market where the majority of the Saudi population

bought from their shares. In the mean time, the idea of entering into stock

market trades was accepted by many people who acted upon and started new

journey. The consequence of this development is the huge increase in the

demand side (buying) which led the share prices to boom until they collapsed.

The responsibility of Saudi stock market crisis is shared by three

parties: government (shares agency), media, and traders themselves. Many

important decisions which should have been taken by TADAWEL on time

either were not made or came late. In addition to this, people should have

been educated either directly or indirectly about when and how to invest in the

stock market. Media played negative role since there was no real warning

about the possible collapse and writers about stock market were not specialist

and indirectly encouraged people to continue speculating in the sock market

even though the share prices were unreasonably high. People, who are the

victims of the crash, are also blamed because they have jumped into the

market to join the crew without rational thinking. In general terms, people in

developing counties do not base their financial decisions on a sensible study

but rather they get advices from their families and friends and also they are

strongly affected by rumors. After the crisis many things were corrected and

Page 29: Saudi Stock Market Historical View and Crisis Effect ...

29

people now are better aware of the problem and thus we do not expect the

share prices to unreasonably boom again at least during the next few years.

Taking all different factors into account, we expect the stock price general

index to range between 7000 and 9000 points at least for the short-run unless

unexpected even occurs.

Future studies should focus on the cultural impact on stock market and

vise versa. This is particularly important in the developing nations since

culture plays significant role in people's life including the way of thinking and

decision making.

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Endnotes

1 See http://www.tadawul.com.sa 2 We took beginning of February instead of end of march because the crisis started end of

February 2006. 3 See http://www.tadawul.com.sa 4 This model was initially introduced by Gordon (1959). 5 This equation was developed based on previous studies.


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