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    GOLD DINAR: THE CAPABILITY OF STABILIZING PRICE

    FLUCTUATION

    Dziauddin Sharif1, Norliana Atan2

    1Center for Islamic Thought and Understanding, MARA University of Technology, Johor, Malaysia2 MARA University of Technology graduate, Johor, Malaysia

    *Authors to correspond should be addressed via email: [email protected]

    ABSTRACT: The word Dinar refers to gold coins used as a medium of exchange by Muslims

    throughout the Islamic history until the fall of the Ottoman caliphate. Islamic Dinar coinage wasfirst issued in Damascus by Caliph Abdul Malik ibn Marwan in the year 77H. It is reported thatthe prophet Muhammad (saw) had said that A time is certainly coming over mankind in whichthere will be nothing (left) which will be use save a Dinar and Dirham (Musnad of Imam Ahmad

    Ibn Hambal). The Muslim scholars Ibn Khaldun (1332-1395 C.E.) claimed that God created thetwo precious metals, gold and silver to serve as the measure of all commodities. The value of the

    Islamic bimetallic currency has remained surprisingly stable in relation to basic consumablegoods for decades. Unlike paper money, the gold dinar cannot be inflated due to the special

    characteristic that it has. In addition, the Gold Dinar can be ideal currency to facilitate; increaseinternational trade and minimizing speculation in paper currency that lead to the Asian crisis in1997. By using Gold Dinar, it can regulate naturally the market in stabilizing the pricefluctuation due to the demand and supply activities. This paper concentrated on the imports of

    major and selected commodities issued from 1996 until 2005. Gold Dinar and USD was used asindependent variable while oil, utility, transportation and commodity prices will be used as

    dependent variables. The analysis for the year 1996 to 2005 is based on Pearson-Product-Moment Correlation and Descriptive Analysis. This study found that Gold Dinar has strong

    correlation with oil and consumer products while USD has strong correlation with consumerproducts and construction products.

    Keywords: Gold Dinar, Stabilize, Price Fluctuation

    INTRODUCTION

    The word Dinar refers to gold coins used as a medium of exchange by Muslims through out the

    Islamic history until the fall of the Ottoman caliphate. Islamic Dinar coinage was first issued in

    Damascus by Caliph Abdul Malik ibn Marwan in the year 77H. It is reported that the prophet

    Muhammad (saw) had said that A time is certainly coming over mankind in which there will be

    nothing (left) which will be use save a Dinar and Dirham (Musnad of Imam Ahmad Ibn

    Hambal). The Muslim scholars Ibn Khaldun (1332-1395 C.E.) claimed that God created the two

    precious metals, gold and silver to serve as the measure of all commodities.

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    With the spread of Islam, the Dinar was minted in large quantities and gradually displaced the

    bezant gold as the major international currency, circulating throughout the Muslim world and the

    Christian Europe as well. After the two world wars that caused serious trade disruptions, the gold

    standard collapsed and was replaced with the Bretton Woods system. In modern history, as a

    consequence of currency crisis in Asia, in first of 1997, then Prime Minister of Malaysia

    Mahathir bin Mohamadproposed introduction of Islamic gold dinar as currency for international

    trade in the Muslim world.

    It was supposed to suppress the too overly traded American dollar and ensure that dollar's

    instability does not affect international trade because Islamic gold dinar was to be tied to price of

    gold and thus provide stable value of the currency. Mahathir announced that Malaysia was to start

    using the dinar in mid-2003, but when in 2003 Abdullah Ahmad Badawi replaced him as Prime

    Minister of Malaysia, this idea was halted. On the 20 September2006,Kelantan became the first

    state to launch gold dinar coins. It features the Kelantanese state crest, the date of production, as

    well as the weight and purity of the gold used on its face. The coins can be bought and sold at the

    Kelantan Corporation Bhd (Perbadanan Kelantan Bhd) and all eight Ar-Rahn Islamic pawnshops

    in the state.

    THEORETICAL FRAMEWORK

    Independent variables: Gold Dinar. US Dollar

    Dependent variables: Oil Price, Price of Consumer Product and Price of Construction

    Product.

    2

    http://en.wikipedia.org/wiki/Asiahttp://en.wikipedia.org/wiki/1997http://en.wikipedia.org/wiki/Prime_Minister_of_Malaysiahttp://en.wikipedia.org/wiki/Mahathir_bin_Mohamadhttp://en.wikipedia.org/wiki/Muslim_worldhttp://en.wikipedia.org/wiki/American_dollarhttp://en.wikipedia.org/wiki/Abdullah_Ahmad_Badawihttp://en.wikipedia.org/wiki/Prime_Minister_of_Malaysiahttp://en.wikipedia.org/wiki/Prime_Minister_of_Malaysiahttp://en.wikipedia.org/wiki/September_20http://en.wikipedia.org/wiki/2006http://en.wikipedia.org/wiki/Kelantanhttp://en.wikipedia.org/wiki/Asiahttp://en.wikipedia.org/wiki/1997http://en.wikipedia.org/wiki/Prime_Minister_of_Malaysiahttp://en.wikipedia.org/wiki/Mahathir_bin_Mohamadhttp://en.wikipedia.org/wiki/Muslim_worldhttp://en.wikipedia.org/wiki/American_dollarhttp://en.wikipedia.org/wiki/Abdullah_Ahmad_Badawihttp://en.wikipedia.org/wiki/Prime_Minister_of_Malaysiahttp://en.wikipedia.org/wiki/Prime_Minister_of_Malaysiahttp://en.wikipedia.org/wiki/September_20http://en.wikipedia.org/wiki/2006http://en.wikipedia.org/wiki/Kelantan
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    Figure 1: Schematic Diagram (Relationship Diagram)

    Independent Dependent

    DATA ANALYSIS AND TREATMENT

    The statistical tool used in this study is Pearson Correlation Coefficient. In this subsection, this

    paper would develops the empirical method to detect possible correlation of oil price, price of

    consumer products and price of construction products between Gold Dinar and USD. Due to

    extent regression correlation analysis will show on how to determine the nature capability of the

    relationship. In order to determine the strongest relation, the author would construct correlation

    analysis.

    It is follow by Pearson-product Moment Correlation by implementing the data output into

    computer. The methodology is useful in this context as it recognize to correlate dichotomous and

    3

    Oil Price

    Price of Consumer

    Products

    Price of Construction

    Products

    Gold Dinar

    US Dollar

    Oil Price

    Price of Consumer

    Products

    Price of Construction

    Products

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    continuous variables and is the most common measure the linear relationship. This coefficient has

    a rage of possible values from -1 or +1. The values indicate the strength of the relation, where the

    sign (+1 or -1) indicates the direction. This method could be analyzed by using the Statistical

    Package for Social Science (SPSS).

    The Pearson- Product Moment Correlation can evaluate by:-

    Ho: p = 0

    H: p 0

    Where p is the correlation coefficient between Gold Dinar and USD

    The second method that has been used is descriptive analysis. This method was used to find the

    mean for the price of oil, consumer products and construction products for Gold Dinar and USD.

    From this analysis also can give a view about the differences on the fluctuation price oil,

    consumer products and construction products in Gold Dinar and USD.

    FINDINGS AND ANALYSIS

    Overall the analyses a correlation were analyzed by using the Statistical Package for Social

    Science (SPSS). The correlation analysis is most versatile and popular statistical procedure. In the

    same time, it is a method that trying to looks at the relationship between two variables in linear

    fashion. A person product-moment correlation describes the relationship between two continuous

    variables.

    A person products moment correlation is use to correlate a dichotomous and continuous variables.

    This study was address bivariate correlation using Pearson Product Moment Correlation. Simple

    bivariate also referred to as zero-order correlation, refers to the correlation between continuous

    variables and is most common measure of linear relationship. This coefficient has a range of

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    possible value from -1 to +1. The value indicates the strength of the relationship, while the sign

    (+ or -) indicates the direction. Significant of this study are 1% and 55 depends on the factors or

    independent variable involved. Significant means there is significant correlation 1 not in order to

    determine whether to reject of failed to reject the null hypotheses.

    Pearson Correlation Test

    This research examined the correlation price of oil, consumer products and construction products

    between the gold Dinar and USD for overall period from 1196 until 2005. Pearson Correlation

    test used for this research to test the correlation price of oil, consumer products between Gold

    Dinar and USD to analyze the data for 10 years and by using the price of imports of major and

    selected commodities. This method to evaluate by

    Ho: p = 0

    H: p 0

    Where p is the correlation between oil, consumer products and construction products over period.

    Table 1: Dinar, Oil, Consumer and Construction Correlation

    Dinar Oil

    Consumer

    Products

    Construction

    Products

    Oil .706(*)

    .022

    - - -

    Consumer Products

    -.853(**)

    .002

    - - -

    Construction Products

    .309

    .384

    - - -

    * Correlation is significant at the 0.05 level (2-tailed).

    ** Correlation is significant at the 0.01 level (2-tailed).

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    Table 1 shows the results of Pearson Correlation test between Gold Dinar, oil, consumer products

    and construction products. This study begins analysis by estimating correlation of the yearly

    change in prices. The samples begin from 1996 until 2005.

    From the table 1 it shows positive correlation for two from all pairs with the correlation of 0.25 or

    higher. As a result, Dinars cross correlation with Oil being 0.706 that reveals strong correlation

    and the result significant that clarify at 0.022 that below 0.05 level. It shows that there is no

    sufficient evidence to support the null hypothesis for Hypothesis 1 and alternate hypothesis of

    Hypothesis 1 is accepted.

    More to the point, the results of correlation of Gold Dinars with Consumer products that explains

    at positive correlation at -0.853 and significant at 0.002 that below 0.01 level. For the result, the

    alternate hypothesis of Hypothesis 2 is accepted and there is no sufficient evidence to support the

    null hypothesis of Hypothesis 2.

    Except for the result Gold Dinars cross correlation with Construction products show the weak

    correlation which is 0.309 and not significant at 0.384 which is above 0.01 or 0.05 level. For the

    result, the null hypothesis of Hypothesis 3 is accepted and there is no sufficient evidence to

    support the alternate hypothesis of Hypothesis 3.

    From the result of correlation between Gold Dinar and prices of oil, consumer products and

    construction products show that Gold Dinar and price of oil and consumer products have strong

    correlation. It also shows that Gold Dinar can influence the price of oil and consumer products.

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    If looks to current situation oil prices is most important factor to influences the other prices of

    goods. This is because when the prices of oil increase, the other price of goods also increases.

    When there is strong relationship between oil and Gold Dinar, it can help to hedge our price to

    remain stable since the value of Gold Dinar is stable and has intrinsic value.

    Besides that, it also same goes with the relationship between Gold Dinar and price of consumer

    products. When there is a strong correlation between Gold Dinar and the price of consumer

    products, it can help to hedge the fluctuation of consumer products since the value of Gold Dinar

    is stable and has intrinsic value for a long time.

    Table 2: USD, Oil, Consumer Products and Construction Products Correlation

    USD Oil

    Consumer

    Products

    Construction

    Products

    Oil .507

    .135

    Consumer Products -.770(**)

    .009Construction Products -.657(*)

    .039

    ** Correlation is significant at the 0.01 level (2-tailed).

    * Correlation is significant at the 0.05 level (2-tailed).

    Table 2 gives an idea about the results of Pearson Correlation test between USD, Oil, Consumer

    Products and Construction Products. This study estimate correlation of the yearly changes in

    price. As result, it shows positive correlation has correlation 0.25 or higher. For the USDs cross

    correlation with Oil is being 0.507 that shows the correlation and the outcome is not significant

    which is at 0.135 which is above 0.01 or 0.05 level. Because of that, the null hypothesis of

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    goods and commodities. This means that despite the increase in the price of oil is because we are

    actually earning less due to the devaluation of the dollar (Mahathir, 2007)

    It same goes with the strong relationship between Gold Dinar and consumer products. Because

    of that the Gold Dinar also can influences the price of consumer products and also can help to

    hedge the fluctuation of prices in order to reduce risk. As said by Mohd Dali (2003), the OIC

    countries are also encourage using Gold Dinar as an alternative international payment settlement

    through the Bilateral Payment Arrangement Mechanism (BPA) with cooperation from central

    banks to avoid the currency crisis from recurring.

    Descriptive Analysis

    The second method that has been used is descriptive analysis. This method was used to find the

    mean for the price of oil, consumer products and construction products for Gold Dinar and USD.

    From this analysis also can give a view about the differences on the fluctuation price oil,

    consumer products and construction products in Gold Dinar and USD.

    Figure 2: Fluctuation of oil price in Gold Dinar and USD

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    From the above graph, the mean for oil price in USD is 1,209,000,000 while the mean for Gold

    Dinar is 25,000,000. The graph also shows the fluctuation of oil price in Gold Dinar and USD.

    From 1996 until 2005 we can see the price of oil in USD is still increasing from year to year. It

    also shows that the price of oil in USD also not stable and always fluctuate with current situation.

    Compared price of oil in Gold Dinar, it shows that the price of oil in Gold Dinar is remain stable

    from 1996 until 2005. The fluctuation of Gold Dinar is minimal if compared to price of oil in

    USD. In addition, it also shows that Gold Dinar can hedge the fluctuation of oil prices.

    Graph 2: Percentage Differences between Price of Oil in USD and Gold Dinar

    Oil

    4 4 4 9 35 42 30 33 36 56185 164 179

    357

    1316

    1550

    1257

    1659

    2033

    3393

    0

    500

    1000

    1500

    2000

    2500

    3000

    3500

    4000

    1996 1997 1998 1999 2000 2001 2002 2003 2004 2005Year

    Price ('000,000)

    Dinar

    USD

    10

    Mean

    USD: 1,209 million

    Dinar: 25million

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    This graph shows the percentage differences between the price of oil price in Gold Dinar and

    USD which is continue from the graph 1. From the graph also we can find that there are big

    differences percentage between price in Gold Dinar and USD. The percentage differences of Gold

    Dinar with USD are strong which is above 97% from year 1996 until 2005. When the difference

    between Gold Dinar with USD is bigger, it shows that the Gold Dinar is strong and it can hedge

    the fluctuation of price compared to USD.

    Graph 3: Price of Consumer Products in USD and Gold Dinar

    97.84 97.87

    97.54

    97.45 97.3797.32

    97.65

    98.00

    98.19

    98.35

    96.80

    97.00

    97.20

    97.40

    97.60

    97.80

    98.00

    98.20

    98.40

    98.60

    1996 1997 1998 1999 2000 2001 2002 2003 2004 2005

    Year

    (%)

    11

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    From the above graph, the mean for price of consumer products in USD is 1,230,000,000 while

    the mean for price of consumer products in Gold Dinar is 27,000,000. From 1996 until 2005 we

    can see the price of consumer products in USD is still increasing and continuous fluctuate from

    year to year. It also shows that the price of consumer products in USD also not stable since there

    is big fluctuation of it with the current situation.

    Compared to price of consumer products in Gold Dinar, it shows that the price of consumer

    products in Gold Dinar is remains stable from 1996 until 2005. The fluctuation of Gold Dinar is

    minimal if compared to price of consumer products in USD. In addition, it also shows that Gold

    Dinar can hedge the fluctuation of consumer products prices.

    Graph 4: Percentage Differences between Price of Consumer Products in USD and

    Gold Dinar

    29 31 29 30 30 31 26 20 22 24

    1,537

    1,411

    1,169 1,157 1,137 1,1301,081

    1,003

    1,249

    1,429

    0

    200

    400

    600

    800

    1000

    1200

    1400

    1600

    1800

    1996 1997 1998 1999 2000 2001 2002 2003 2004 2005

    Year

    Prices ('000,000)

    Dinar

    USD

    12

    Mean

    USD=1230 million

    Dinar= 27 million

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    This graph shows the percentage differences between the price of construction products in Gold

    Dinar and USD which is continue from the graph 4.2.3. From the graph also we can find that

    there are big differences percentage between price in Gold Dinar and USD. It shows that the Gold

    Dinar can hedge the fluctuation of consumer products price since the percentage differences of

    Gold Dinar is strong which is above 97% from year 1996 until 2005.

    Graph 5: Price of Construction Products in USD and Gold Dinar

    98.11

    97.80

    97.52

    97.4197.36

    97.26

    97.59

    98.01

    98.24

    98.32

    97

    97

    97

    97

    97

    98

    98

    98

    98

    98

    99

    1996 1997 1998 1999 2000 2001 2002 2003 2004 2005Year

    (%)

    13

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    From the above graph, the mean for price of construction products in USD is 1,448,000,000 while

    the mean for price of construction products in Gold Dinar is 31,000,000. From 1996 until 2005

    we can see the price of construction products in USD is still increasing and continuous fluctuate

    from year to year. It also shows that the price of oil in USD also not stable since there is big

    fluctuation of it with the current situation.

    Compared price of construction products in Gold Dinar, it shows that the price of construction

    products in Gold Dinar is remain stable from 1996 until 2005. The fluctuation of Gold Dinar is

    minimal if compared to the price of construction products in USD. In addition, it also shows that

    Gold Dinar can hedge the fluctuation of construction products prices.

    37 45 26 34 34 26 24 22 31 33

    19832049

    1058

    1297 1312

    951992

    1096

    1733

    2008

    0

    500

    1000

    1500

    2000

    2500

    1996 1997 1998 1999 2000 2001 2002 2003 2004 2005

    Year

    Price ('000,000)

    Dinar

    USD

    14

    Mean

    USD: 1448 million

    Dinar: 31 million

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    Graph 6: Percentage Differences between Price of Construction Products in USD

    and Gold Dinar

    This graph shows the percentage differences between the price of construction products in Gold

    Dinar and USD which is continue from the graph 4.2.5. From the graph also was found that there

    are big differences percentage between price in Gold Dinar and USD. The percentage differences

    of Gold Dinar with USD are strong which is above 97% from year 1996 until 2005. It shows that

    the Gold Dinar is strong and can hedge the fluctuation of price.

    98.09

    97.80

    97.53

    97.37 97.37

    97.25

    97.66

    97.94

    98.20

    98.35

    96.60

    96.80

    97.00

    97.20

    97.40

    97.60

    97.80

    98.00

    98.20

    98.40

    98.60

    1996 1997 1998 1999 2000 2001 2002 2003 2004 2005Year

    (%)

    15

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    valuable information, education and experiences to student, as it would be useful for researcher as

    a guideline and reference in order to make or conduct similar research in the future. The data set

    includes observations in the period 1996-2005 which is the time series basis analyzed by yearly

    on price of oil, consumer products and construction products.

    All the data used in this research are collected from Statistic Department. The variables that being

    collected are price of oil, consumer products, construction products, value of one USD and Gold

    Dinar that concentrates by yearly data on period 1996 until 2005. This research begins with

    analysis by estimating correlation coefficient of the Gold Dinar and USD with price of oil,

    consumer products and construction products. For the result for Gold Dinar with oil and Gold

    Dinar with consumer products have significantly correlation effect. But, for the result for Gold

    Dinar with construction products did not have significant correlation effect. Consequently, there

    is no sufficient evidence to support the null hypothesis of Hypothesis 1 and 2 but the null

    hypothesis of Hypothesis 3 is accepted.

    For the result for USD with oil did not have significant correlation effect and the null hypothesis

    of Hypothesis 4 is accepted. Besides that, for the result for USD with consumer products and

    USD with construction products have significantly correlation effect and thus there is no

    sufficient evidence to support the null hypothesis of Hypothesis 5 and 6.

    Oil, consumer products and construction products are being chosen for this research since it will

    give a major implication in our life. For example oil price. As we know the world market price of

    oil in this world is still increasing especially after the war in Iraq. But, even though there is

    increasing in oil price we still can hedge it so that it will not to fluctuate very much.

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    This situation can be resolved by using gold as our medium of exchange. When we use Gold

    Dinar, we only deal with small amount and standard values in transactions. This situation will

    bring the benefits to all country regardless of currencies in poor or rich countries. Unlike USD as

    a single currency in international trading, the poor country are forced to pay more due to the

    value of currency that they have are much cheaper than others.

    RECOMMENDATION

    The analysis of oil, consumer products and construction products reaction toward Gold Dinar and

    USD provide opportunity to test possible theories. The process of analyzing the reaction of

    correlation is based on the uses of yearly in studies. Therefore the researchers can find different

    data could be performed such a monthly data for ten years. Besides that, more previous literature

    review should be added to catch more understanding and information.

    Moreover, the number of selected commodities to become subjects research should be extended

    such as copper, machinery and equipment that have been used for particular industries and part,

    etc. The further research on the issues of Gold Dinar in others areas is still crucial to be explored

    especially in banking industry. This is because, more researches on this topic will result new

    inventions and systems to be founded. It also could spread out more information about the

    benefits of using Gold Dinar compared to the paper currency especially in the international

    trading.

    Finally, people should know the important of using Gold Dinar since it is more stable compared

    to USD. It has the ability to hedge the fluctuation of price and gradually being capable to avoid

    the economic crisis such as inflation or recession. Moreover, it also provides the platform to

    ensure the economic stability in a longer duration.

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    REFERENCES

    Al-Quran and Hadith

    Ahamed Kameel Mydin Meera & Moussa Larbani (2004). Seigniorage of Fiat Moneyand the Maqasid Shariah: The compatibility of the Gold Dinar with the Maqasid.

    Department of Business Administration, faculty of economics and Management

    Sciences, International Islamic University Malaysia, Jalan Gombak, 53100 Kuala

    Lumpur, Selangor, Malaysia.

    Ahamed Kameel Mydin Meera and Hassanuddeen Abdul aziz (2002). The Islamic Gold Dinar: Socio-economic Perspectives. Proceeding of the 2002 International

    Conferences on Stable and Just Global Monetary System at International IslamicUniversity Malaysia 2002.

    Ahamed Kameel Mydin Meera (2002). The Islamic Gold Dinar, 1st Edition, PelandukPublications (M) Sdn Bhd.

    Abdul Halim Abdul Hamid and Norizaton Azmin Mohd Nordin (2002). Dinar and

    Dirham Effect on the Banking Business and Its Solution . Proceedings of the 2002

    International Conference on stable and Just Global Monetary System at

    International Islamic University Malaysia 2002.

    Dato Dr. Mahathir Bin Mohammad (2002). Seriousness of the Gold Dinar.

    Evans, Abdalhamid. The Gold Dinar- A Platform For unity. Proc. Of The International

    convention on Gold Dinar As An Alternatives International Currency . July 1,

    2003 Putra World Trade Centre, Kuala Lumpur

    Hj. Muhammad Nasri Hj. Md Hussain and Azizi Abu Bakar (2004).Potensi Dinar Emas

    Sebagai Mata wang Utama Dunia: Teori & Strategi. Universiti Utara Malaysia.

    James Turk and John Rubino (2004). The Coming Collapse Of The Dollar and How To

    Profit From It, 1st Edition, Doubleday.

    J.Kent Willis (2004). Resurrection of The Islamic Gold Dinar: The Moral Imperative

    From The Muslim Perspective As Perceived In The West.

    Khaled Hanafi ( 2003). Islamic Gold Dinar Will Minimize Dependency on US Dollar.

    Cairo-IslamOnline.

    Mohd Dali at el. (2003) Gold Dinar. Using Bilateral Payment Arrangement system or

    Electronic Payment System. Proceeding of Student Conference on ResearchDevelopment. Universiti Tenaga Nasional.

    Michael O. Billington (2002). Gold Dinar: An Economic and Strategic. ExecutiveIntelligence Review.

    19

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    Rose, Peter s. (2000). Money and Capital Markets: Instruments in a Global

    Marketplace, 7th Edition, Irwin-McGraw Hill, Boston.

    Uma Sekaran (2005). Research Methods for Business: A Skill-Buildind Approach, 4th

    Edition, John Wiley & Sons, Inc.

    www.e-dinar.com.

    www.Islamonline.com

    www.kitko.com

    www.wikipedia.com

    20

    http://www.e-dinar.com/http://www.islamonline.com/http://www.kitko.com/http://www.wikipedia.com/http://www.e-dinar.com/http://www.islamonline.com/http://www.kitko.com/http://www.wikipedia.com/
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    APPENDIX 1(a)

    Year RM/USD Gold (RM/oz) Gold (RM/g)

    1 Dinar

    (4.25g)

    1996 2.52 976.31 31.39 133.40

    1997 2.88 954.73 30.69 130.45

    1998 3.80 1118.11 35.95 152.77

    1999 3.80 1060.12 34.08 144.85

    2000 3.80 1060.62 34.10 144.92

    2001 3.80 1029.95 33.11 140.73

    2002 3.80 1176.97 37.84 160.81

    2003 3.80 1380.84 44.39 188.67

    2004 3.80 1556.94 50.05 212.73

    2005 3.78 1681.12 54.05 229.70

    1) Milk& Cream, Powder

    Year RM USD Dinar

    1996 741,500,000 294,538,232.37 5,558,581.121997 738,400,000 256,015,532.90 5,660,481.26

    1998 760,000,000 200,000,000.00 4,974,730.51

    1999 772,400,000 203,263,157.89 5,332,451.01

    2000 868,800,000 228,631,578.95 5,995,178.17

    2001 938,200,000 246,894,736.84 6,666,835.19

    2002 765,200,000 201,368,421.05 4,758,273.13

    2003 732,100,000 192,657,894.74 3,880,315.74

    2004 1,008,100,000 265,289,473.68 4,738,862.74

    2005 1,102,100,000 291,560,846.56 4,798,044.66

    2) Wheat

    Year RM USD Dinar 1996 679,300,000 269,831,181.73 5,092,305.00

    1997 607,200,000 210,526,315.79 4,654,718.61

    1998 734,300,000 193,236,842.11 4,806,506.07

    1999 818,200,000 215,315,789.47 5,648,642.43

    2000 710,900,000 187,078,947.37 4,905,584.90

    2001 783,300,000 206,131,578.95 5,566,118.10

    2002 766,400,000 201,684,210.53 4,765,735.14

    2003 653,000,000 171,842,105.26 3,461,065.67

    2004 1,090,300,000 286,921,052.63 5,125,267.38

    2005 1,121,700,000 296,746,031.75 4,883,374.19

    3) Rice

    Year RM USD Dinar

    1996 537,500,000 213,505,461.77 4,029,315.38

    1997 701,300,000 243,152,347.27 5,376,077.34

    1998 910,500,000 239,605,263.16 5,959,858.07

    1999 718,900,000 189,184,210.53 4,963,100.76

    2000 689,300,000 181,394,736.84 4,756,533.51

    2001 529,700,000 139,394,736.84 3,764,040.29

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    2002 510,100,000 134,236,842.11 3,171,974.81

    2003 398,700,000 104,921,052.63 2,113,211.15

    2004 548,100,000 144,236,842.11 2,576,501.01

    2005 688,700,000 182,195,767.20 2,998,288.14

    APPENDIX 1 (b)

    4) Maize

    Year RM USD Dinar

    1996 1,130,100,000 448,897,715.99 8,471,682.44

    1997 1,144,300,000 396,747,798.35 8,772,059.46

    1998 987,500,000 259,868,421.05 6,463,876.82

    1999 1,114,300,000 293,236,842.11 7,692,840.70

    2000 1,088,400,000 286,421,052.63 7,510,533.98

    2001 956,300,000 251,657,894.74 6,795,453.52

    2002 1,088,600,000 286,473,684.21 6,769,284.02

    2003 1,131,800,000 297,842,105.26 5,998,827.15

    2004 1,148,200,000 302,157,894.74 5,397,442.91

    2005 1,368,200,000 361,957,671.96 5,956,523.65

    5) Raw Beet & Cane Sugar

    Year RM USD Dinar

    1996 781,100,000 310,268,123.14 5,855,438.59

    1997 878,600,000 304,625,199.36 6,735,236.77

    1998 1,051,100,000 276,605,263.16 6,880,183.21

    1999 972,300,000 255,868,421.05 6,712,509.21

    2000 963,800,000 253,631,578.95 6,650,728.27

    2001 1,087,200,000 286,105,263.16 7,725,626.96

    2002 976,900,000 257,078,947.37 6,074,695.54

    2003 898,100,000 236,342,105.26 4,760,157.85

    2004 949,600,000 249,894,736.84 4,463,866.742005 1,119,100,000 296,058,201.06 4,872,054.97

    6) Crude Petroleum

    Year RM USD Dinar

    1996 464,600,000 184,548,162.86 3,482,827.77

    1997 473,500,000 164,170,307.19 3,629,791.27

    1998 680,200,000 179,000,000.00 4,452,383.81

    1999 1,357,400,000 357,210,526.32 9,371,140.60

    2000 5,000,300,000 1,315,868,421.05 34,504,706.97

    2001 5,891,400,000 1,550,368,421.05 41,864,200.41

    2002 4,777,500,000 1,257,236,842.11 29,708,115.40

    2003 6,305,300,000 1,659,289,473.68 33,419,689.70

    2004 7,723,600,000 2,032,526,315.79 36,306,993.62

    2005 12,825,500,000 3,392,989,417.99 55,836,423.05

    7) Steel

    Year RM USD Dinar

    1996 4,991,100,000 1,982,562,065.54 37,415,285.56

    1997 5,910,500,000 2,049,268,427.99 45,309,147.45

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    1998 4,021,000,000 1,058,157,894.74 26,320,251.83

    1999 4,928,200,000 1,296,894,736.84 34,023,025.72

    2000 4,985,200,000 1,311,894,736.84 34,400,509.00

    2001 3,611,800,000 950,473,684.21 25,665,396.86

    2002 3,770,800,000 992,315,789.47 23,448,113.35

    2003 4,162,900,000 1,095,500,000.00 22,064,426.16

    2004 6,584,200,000 1,732,684,210.53 30,950,917.62

    2005 7,589,600,000 2,007,830,687.83 33,041,683.86

    APPENDIX 2

    Correlations

    Oil

    Consumer

    Products

    Construction

    Productc USD

    Oil

    Pearson Correlation 1 -.052 .106 .507

    Sig. (2-tailed) . .887 .770 .135

    N 10 10 10 10

    Consumer Products

    Pearson Correlation -.052 1 .910(**) -.770(**)

    Sig. (2-tailed) .887 . .000 .009

    N 10 10 10 10

    Construction

    Productc

    Pearson Correlation .106 .910(**) 1 -.657(*)

    Sig. (2-tailed) .770 .000 . .039

    N10 10 10 10

    USD

    Pearson Correlation .507 -.770(**) -.657(*) 1

    Sig. (2-tailed) .135 .009 .039 .

    N 10 10 10 10** Correlation is significant at the 0.01 level (2-tailed).

    * Correlation is significant at the 0.05 level (2-tailed).

    Correlations

    Oil Prices

    Prices of

    consumer

    Products Construction Dinar

    Oil Prices PearsonCorrelation

    1 -.555 -.419 .706(*)

    Sig. (2-tailed) . .096 .228 .022

    N 10 10 10 10

    Prices of consumer

    Products

    Pearson

    Correlation-.555 1 .508 -.853(**)

    Sig. (2-tailed) .096 . .134 .002

    N 10 10 10 10

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    Construction Pearson

    Correlation-.419 .508 1 -.309

    Sig. (2-tailed) .228 .134 . .384

    N 10 10 10 10

    Dinar Pearson

    Correlation.706(*) -.853(**) -.309 1

    Sig. (2-tailed) .022 .002 .384 .

    N 10 10 10 10

    * Correlation is significant at the 0.05 level (2-tailed).

    ** Correlation is significant at the 0.01 level (2-tailed).